Year |
Citation |
Score |
2020 |
Papathanasiou MM, Stamatis C, Lakelin M, Farid S, Titchener-Hooker N, Shah N. Autologous CAR T-cell therapies supply chain: challenges and opportunities? Cancer Gene Therapy. PMID 31932694 DOI: 10.1038/S41417-019-0157-Z |
0.316 |
|
2020 |
Bascone D, Galvanin F, Shah N, Garcia-Munoz S. A hybrid mechanistic-empirical approach to the modelling of twin screw feeders for continuous tablet manufacturing Industrial & Engineering Chemistry Research. 59: 6650-6661. DOI: 10.1021/Acs.Iecr.0C00420 |
0.325 |
|
2020 |
Khor CS, Akinbola G, Shah N. A model-based optimization study on greywater reuse as an alternative urban water resource Sustainable Production and Consumption. 22: 186-194. DOI: 10.1016/J.Spc.2020.03.008 |
0.372 |
|
2020 |
O’Dwyer E, Pan I, Charlesworth R, Butler S, Shah N. Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems Sustainable Cities and Society. 62: 102412. DOI: 10.1016/J.Scs.2020.102412 |
0.375 |
|
2020 |
Pantaleo AM, Camporeale SM, Sorrentino A, Miliozzi A, Shah N, Markides CN. Hybrid solar-biomass combined Brayton/organic Rankine-cycle plants integrated with thermal storage: Techno-economic feasibility in selected Mediterranean areas Renewable Energy. 147: 2913-2931. DOI: 10.1016/J.Renene.2018.08.022 |
0.378 |
|
2020 |
Hart M, Austin W, Acha S, Brun NL, Markides CN, Shah N. A roadmap investment strategy to reduce carbon intensive refrigerants in the food retail industry Journal of Cleaner Production. 275: 123039. DOI: 10.1016/J.Jclepro.2020.123039 |
0.366 |
|
2020 |
Denbow C, Brun NL, Dowell NM, Shah N, Markides CN. The Potential Impact of Molten Salt Reactors on the UK Electricity Grid Journal of Cleaner Production. 276: 122873. DOI: 10.1016/J.Jclepro.2020.122873 |
0.377 |
|
2020 |
Wu N, Zhan X, Zhu X, Zhang Z, Lin J, Xie S, Meng C, Cao L, Wang X, Shah N, Zheng X, Zhao Y. Analysis of biomass polygeneration integrated energy system based on a mixed-integer nonlinear programming optimization method Journal of Cleaner Production. 271: 122761. DOI: 10.1016/J.Jclepro.2020.122761 |
0.425 |
|
2020 |
Alhajaj A, Shah N. Multiscale design and analysis of CO2 networks International Journal of Greenhouse Gas Control. 94: 102925. DOI: 10.1016/J.Ijggc.2019.102925 |
0.368 |
|
2020 |
Langshaw L, Ainalis D, Acha S, Shah N, Stettler MEJ. Environmental and economic analysis of liquefied natural gas (LNG) for heavy goods vehicles in the UK: A Well-to-Wheel and total cost of ownership evaluation Energy Policy. 137: 111161. DOI: 10.1016/J.Enpol.2019.111161 |
0.351 |
|
2020 |
Acha S, Brun NL, Damaskou M, Fubara TC, Mulgundmath V, Markides CN, Shah N. Fuel cells as combined heat and power systems in commercial buildings: A case study in the food-retail sector Energy. 206: 118046. DOI: 10.1016/J.Energy.2020.118046 |
0.338 |
|
2020 |
Guo M, Dam KHv, Touhami NO, Nguyen R, Delval F, Jamieson C, Shah N. Multi-level system modelling of the resource-food-bioenergy nexus in the global south Energy. 197: 117196. DOI: 10.1016/J.Energy.2020.117196 |
0.375 |
|
2020 |
Lyons B, O’Dwyer E, Shah N. Model reduction for Model Predictive Control of district and communal heating systems within cooperative energy systems Energy. 197: 117178. DOI: 10.1016/J.Energy.2020.117178 |
0.356 |
|
2020 |
Olympios AV, Brun NL, Acha S, Shah N, Markides CN. Stochastic real-time operation control of a combined heat and power (CHP) system under uncertainty Energy Conversion and Management. 216: 112916. DOI: 10.1016/J.Enconman.2020.112916 |
0.394 |
|
2020 |
Bohra M, Shah N. Optimising the role of solar PV in Qatar’s power sector Energy Reports. 6: 194-198. DOI: 10.1016/J.Egyr.2019.11.062 |
0.353 |
|
2020 |
Kucherenko S, Giamalakis D, Shah N, García-Muñoz S. Computationally efficient identification of probabilistic design spaces through application of metamodeling and adaptive sampling Computers & Chemical Engineering. 132: 106608. DOI: 10.1016/J.Compchemeng.2019.106608 |
0.333 |
|
2020 |
Liu S, Papageorgiou LG, Shah N. Optimal design of low-cost supply chain networks on the benefits of new product formulations Computers & Industrial Engineering. 139: 106189. DOI: 10.1016/J.Cie.2019.106189 |
0.409 |
|
2020 |
O’Dwyer E, Chen K, Wang H, Wang A, Shah N, Guo M. Optimisation of wastewater treatment strategies in eco-industrial parks: Technology, location and transport Chemical Engineering Journal. 381: 122643. DOI: 10.1016/J.Cej.2019.122643 |
0.384 |
|
2020 |
Aunedi M, Pantaleo AM, Kuriyan K, Strbac G, Shah N. Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems Applied Energy. 276: 115522. DOI: 10.1016/J.Apenergy.2020.115522 |
0.371 |
|
2020 |
Cremi MR, Pantaleo AM, Dam KHv, Shah N. Optimal design and operation of an urban energy system applied to the Fiera Del Levante exhibition centre Applied Energy. 275: 115359. DOI: 10.1016/J.Apenergy.2020.115359 |
0.415 |
|
2020 |
Brun NL, Simpson M, Acha S, Shah N, Markides CN. Techno-economic potential of low-temperature, jacket-water heat recovery from stationary internal combustion engines with organic Rankine cycles: A cross-sector food-retail study Applied Energy. 274: 115260. DOI: 10.1016/J.Apenergy.2020.115260 |
0.31 |
|
2020 |
Jing R, Kuriyan K, Lin J, Shah N, Zhao Y. Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach Applied Energy. 266: 114859. DOI: 10.1016/J.Apenergy.2020.114859 |
0.372 |
|
2020 |
Maouris G, Escriva EJS, Acha S, Shah N, Markides CN. CO2 refrigeration system heat recovery and thermal storage modelling for space heating provision in supermarkets: An integrated approach Applied Energy. 264: 114722. DOI: 10.1016/J.Apenergy.2020.114722 |
0.312 |
|
2020 |
Bohra M, Shah N. Optimizing Qatar’s energy system for a post-carbon future Energy Transitions. 4: 11-29. DOI: 10.1007/S41825-019-00019-5 |
0.368 |
|
2019 |
Durkin A, Taptygin I, Kong Q, Gunam Resul MFM, Rehman A, Fernández AML, Harvey AP, Shah N, Guo M. Scale-up and Sustainability Evaluation of Biopolymer Production from Citrus Waste Offering Carbon Capture and Utilisation Pathway. Chemistryopen. 8: 668-688. PMID 31172004 DOI: 10.1002/Open.201900015 |
0.396 |
|
2019 |
Zhang X, Strbac G, Shah N, Teng F, Pudjianto D. Whole-System Assessment of the Benefits of Integrated Electricity and Heat System Ieee Transactions On Smart Grid. 10: 1132-1145. DOI: 10.1109/Tsg.2018.2871559 |
0.349 |
|
2019 |
Staffell I, Scamman D, Abad AV, Balcombe P, Dodds PE, Ekins P, Shah N, Ward KR. The role of hydrogen and fuel cells in the global energy system Energy and Environmental Science. 12: 463-491. DOI: 10.1039/C8Ee01157E |
0.339 |
|
2019 |
Kusumo KP, Gomoescu L, Paulen R, García Muñoz S, Pantelides CC, Shah N, Chachuat B. Bayesian Approach to Probabilistic Design Space Characterization: A Nested Sampling Strategy Industrial & Engineering Chemistry Research. 59: 2396-2408. DOI: 10.1021/Acs.Iecr.9B05006 |
0.529 |
|
2019 |
Jing R, Kuriyan K, Kong Q, Zhang Z, Shah N, Li N, Zhao Y. Exploring the impact space of different technologies using a portfolio constraint based approach for multi-objective optimization of integrated urban energy systems Renewable & Sustainable Energy Reviews. 113: 109249. DOI: 10.1016/J.Rser.2019.109249 |
0.396 |
|
2019 |
Sharifzadeh M, Sikinioti-Lock A, Shah N. Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression Renewable & Sustainable Energy Reviews. 108: 513-538. DOI: 10.1016/J.Rser.2019.03.040 |
0.326 |
|
2019 |
Sharifzadeh M, Sadeqzadeh M, Guo M, Borhani TN, Murthy Konda N, Garcia MC, Wang L, Hallett J, Shah N. The multi-scale challenges of biomass fast pyrolysis and bio-oil upgrading: Review of the state of art and future research directions Progress in Energy and Combustion Science. 71: 1-80. DOI: 10.1016/J.Pecs.2018.10.006 |
0.356 |
|
2019 |
Pozo C, Limleamthong P, Guo Y, Green T, Shah N, Acha S, Sawas A, Wu C, Siegert M, Guillén-Gosálbez G. Temporal sustainability efficiency analysis of urban areas via Data Envelopment Analysis and the hypervolume indicator: Application to London boroughs Journal of Cleaner Production. 239: 117839. DOI: 10.1016/J.Jclepro.2019.117839 |
0.319 |
|
2019 |
Sharifzadeh M, Shah N. MEA-based CO2 capture integrated with natural gas combined cycle or pulverized coal power plants: Operability and controllability through integrated design and control Journal of Cleaner Production. 207: 271-283. DOI: 10.1016/J.Jclepro.2018.09.115 |
0.365 |
|
2019 |
Escriva EJS, Acha S, Brun NL, Francés VS, Ojer JMP, Markides CN, Shah N. Modelling of a real CO2 booster installation and evaluation of control strategies for heat recovery applications in supermarkets. International Journal of Refrigeration-Revue Internationale Du Froid. 107: 288-300. DOI: 10.1016/J.Ijrefrig.2019.08.005 |
0.374 |
|
2019 |
Bahzad H, Shah N, Dowell NM, Boot-Handford M, Soltani SM, Ho M, Fennell PS. Development and techno-economic analyses of a novel hydrogen production process via chemical looping International Journal of Hydrogen Energy. 44: 21251-21263. DOI: 10.1016/J.Ijhydene.2019.05.202 |
0.347 |
|
2019 |
Cumicheo C, Dowell NM, Shah N. Natural gas and BECCS: A comparative analysis of alternative configurations for negative emissions power generation International Journal of Greenhouse Gas Control. 90: 102798. DOI: 10.1016/J.Ijggc.2019.102798 |
0.332 |
|
2019 |
Bahzad H, Katayama K, Boot-Handford ME, Dowell NM, Shah N, Fennell PS. Iron-based chemical-looping technology for decarbonising iron and steel production International Journal of Greenhouse Gas Control. 91: 102766. DOI: 10.1016/J.Ijggc.2019.06.017 |
0.307 |
|
2019 |
Bascone D, Galvanin F, Shah N, Garcia-Munoz S. Modelling and Nonlinear Model Predictive Control of a Twin Screw Feeder Ifac-Papersonline. 52: 156-161. DOI: 10.1016/J.Ifacol.2019.12.223 |
0.332 |
|
2019 |
Papathanasiou MM, Burnak B, Katz J, Shah N, Pistikopoulos EN. Control of a dual mode separation process via multi-parametric Model Predictive Control Ifac-Papersonline. 52: 988-993. DOI: 10.1016/J.Ifacol.2019.06.191 |
0.324 |
|
2019 |
Rivotti P, Karatayev M, Mourão ZS, Shah N, Clarke ML, Konadu DD. Impact of future energy policy on water resources in Kazakhstan Energy Strategy Reviews. 24: 261-267. DOI: 10.1016/J.Esr.2019.04.009 |
0.311 |
|
2019 |
Chakrabarti A, Proeglhoef R, Turu GB, Lambert R, Mariaud A, Acha S, Markides CN, Shah N. Optimisation and analysis of system integration between electric vehicles and UK decentralised energy schemes Energy. 176: 805-815. DOI: 10.1016/J.Energy.2019.03.184 |
0.359 |
|
2019 |
Efstratiadi M, Acha S, Shah N, Markides CN. Analysis of a closed-loop water-cooled refrigeration system in the food retail industry: A UK case study Energy. 174: 1133-1144. DOI: 10.1016/J.Energy.2019.03.004 |
0.336 |
|
2019 |
Gonzato S, Chimento J, O’Dwyer E, Bustos-Turu G, Acha S, Shah N. Hierarchical price coordination of heat pumps in a building network controlled using model predictive control Energy and Buildings. 202: 109421. DOI: 10.1016/J.Enbuild.2019.109421 |
0.346 |
|
2019 |
Jing R, Wang M, Zhang Z, Liu J, Liang H, Meng C, Shah N, Li N, Zhao Y. Comparative study of posteriori decision-making methods when designing building integrated energy systems with multi-objectives Energy and Buildings. 194: 123-139. DOI: 10.1016/J.Enbuild.2019.04.023 |
0.33 |
|
2019 |
Ayoub AN, Gaigneux A, Brun NL, Acha S, Lambert R, Shah N. The development of a carbon roadmap investment strategy for carbon intensive food retail industries Energy Procedia. 161: 333-342. DOI: 10.1016/J.Egypro.2019.02.107 |
0.392 |
|
2019 |
Kong Q, Kuriyan K, Shah N, Guo M. Development of a responsive optimisation framework for decision-making in precision agriculture Computers & Chemical Engineering. 131: 106585. DOI: 10.1016/J.Compchemeng.2019.106585 |
0.315 |
|
2019 |
d'Amore F, Sunny N, Iruretagoyena D, Bezzo F, Shah N. European supply chains for carbon capture, transport and sequestration, with uncertainties in geological storage capacity: Insights from economic optimisation Computers & Chemical Engineering. 129: 106521. DOI: 10.1016/J.Compchemeng.2019.106521 |
0.398 |
|
2019 |
Papathanasiou MM, Burnak B, Katz J, Shah N, Pistikopoulos EN. Assisting continuous biomanufacturing through advanced control in downstream purification Computers & Chemical Engineering. 125: 232-248. DOI: 10.1016/J.Compchemeng.2019.03.013 |
0.363 |
|
2019 |
Wang X, Dam KHv, Triantafyllidis CP, Koppelaar RHEM, Shah N. Energy-water nexus design and operation towards the sustainable development goals Computers & Chemical Engineering. 124: 162-171. DOI: 10.1016/J.Compchemeng.2019.02.007 |
0.381 |
|
2019 |
Kotidis P, Demis P, Goey CH, Correa E, McIntosh C, Trepekli S, Shah N, Klymenko OV, Kontoravdi C. Constrained global sensitivity analysis for bioprocess design space identification Computers & Chemical Engineering. 125: 558-568. DOI: 10.1016/J.Compchemeng.2019.01.022 |
0.353 |
|
2019 |
Cooper N, Panteli A, Shah N. Linear estimators of biomass yield maps for improved biomass supply chain optimisation Applied Energy. 253: 113526. DOI: 10.1016/J.Apenergy.2019.113526 |
0.353 |
|
2019 |
Jing R, Wang M, Zhang Z, Wang X, Li N, Shah N, Zhao Y. Distributed or centralized? Designing district-level urban energy systems by a hierarchical approach considering demand uncertainties Applied Energy. 252: 113424. DOI: 10.1016/J.Apenergy.2019.113424 |
0.433 |
|
2019 |
O’Dwyer E, Pan I, Acha S, Shah N. Smart energy systems for sustainable smart cities: Current developments, trends and future directions Applied Energy. 237: 581-597. DOI: 10.1016/J.Apenergy.2019.01.024 |
0.367 |
|
2019 |
Mazur C, Hoegerle Y, Brucoli M, Dam Kv, Guo M, Markides CN, Shah N. A holistic resilience framework development for rural power systems in emerging economies Applied Energy. 235: 219-232. DOI: 10.1016/J.Apenergy.2018.10.129 |
0.339 |
|
2019 |
Sharifzadeh M, Hien RKT, Shah N. China’s roadmap to low-carbon electricity and water: Disentangling greenhouse gas (GHG) emissions from electricity-water nexus via renewable wind and solar power generation, and carbon capture and storage Applied Energy. 235: 31-42. DOI: 10.1016/J.Apenergy.2018.10.087 |
0.333 |
|
2019 |
Zhu Y, Shah N, Carré G, Lemaire S, Gatignol E, Piccione PM. Continent-wide planning of seed production: mathematical model and industrial application Optimization and Engineering. 20: 881-906. DOI: 10.1007/S11081-019-09424-7 |
0.365 |
|
2018 |
Wang X, Guo M, Koppelaar RHEM, van Dam KH, Triantafyllidis CP, Shah N. A nexus approach for sustainable urban Energy-Water-Waste systems planning and operation. Environmental Science & Technology. PMID 29385332 DOI: 10.1021/Acs.Est.7B04659 |
0.35 |
|
2018 |
Heuberger CF, Staffell I, Shah N, Dowell NM. Impact of myopic decision-making and disruptive events in power systems planning Nature Energy. 3: 634-640. DOI: 10.1038/S41560-018-0159-3 |
0.327 |
|
2018 |
Panteli A, Giarola S, Shah N. Supply chain mixed integer linear program model integrating a biorefining technology superstructure Industrial & Engineering Chemistry Research. 57: 9849-9865. DOI: 10.1021/Acs.Iecr.7B05228 |
0.412 |
|
2018 |
Zhang D, Rio-Chanona EAd, Shah N. Life cycle assessments for biomass derived sustainable biopolymer & energy co-generation Sustainable Production and Consumption. 15: 109-118. DOI: 10.1016/J.Spc.2018.05.002 |
0.36 |
|
2018 |
Zhang D, Rio-Chanona EAd, Wagner JL, Shah N. Life cycle assessments of bio-based sustainable polylimonene carbonate production processes Sustainable Production and Consumption. 14: 152-160. DOI: 10.1016/J.Spc.2018.03.001 |
0.362 |
|
2018 |
Georgiou S, Acha S, Shah N, Markides CN. A generic tool for quantifying the energy requirements of glasshouse food production Journal of Cleaner Production. 191: 384-399. DOI: 10.1016/J.Jclepro.2018.03.278 |
0.386 |
|
2018 |
Wang X, Li L, Palazoglu A, El-Farra NH, Shah N. Optimization and control of offshore wind farms with energy storage systems Ifac-Papersonline. 51: 862-867. DOI: 10.1016/J.Ifacol.2018.09.245 |
0.331 |
|
2018 |
Triantafyllidis CP, Koppelaar RHEM, Wang X, Dam KHv, Shah N. An integrated optimisation platform for sustainable resource and infrastructure planning Environmental Modelling and Software. 101: 146-168. DOI: 10.1016/J.Envsoft.2017.11.034 |
0.391 |
|
2018 |
Bieber N, Ker JH, Wang X, Triantafyllidis C, Dam KHv, Koppelaar RHEM, Shah N. Sustainable planning of the energy-water-food nexus using decision making tools Energy Policy. 113: 584-607. DOI: 10.1016/J.Enpol.2017.11.037 |
0.397 |
|
2018 |
Acha S, Mariaud A, Shah N, Markides CN. Optimal Design and Operation of Distributed Low-Carbon Energy Technologies in Commercial Buildings Energy. 142: 578-591. DOI: 10.1016/J.Energy.2017.10.066 |
0.401 |
|
2018 |
Wang X, Li L, Palazoglu A, El-Farra NH, Shah N. Optimization and control of offshore wind systems with energy storage Energy Conversion and Management. 173: 426-437. DOI: 10.1016/J.Enconman.2018.07.079 |
0.313 |
|
2018 |
Jing R, Zhu X, Zhu Z, Wang W, Meng C, Shah N, Li N, Zhao Y. A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning Energy Conversion and Management. 166: 445-462. DOI: 10.1016/J.Enconman.2018.04.054 |
0.369 |
|
2018 |
Noor S, Guo M, Dam KHv, Shah N, Wang X. Energy Demand Side Management with supply constraints: Game theoretic Approach Energy Procedia. 145: 368-373. DOI: 10.1016/J.Egypro.2018.04.066 |
0.366 |
|
2018 |
Thaore V, Chadwick D, Shah N. Sustainable production of chemical intermediates for nylon manufacture: A techno-economic analysis for renewable production of caprolactone Chemical Engineering Research & Design. 135: 140-152. DOI: 10.1016/J.Cherd.2018.05.026 |
0.394 |
|
2018 |
Quek VC, Shah N, Chachuat B. Modeling for design and operation of high-pressure membrane contactors in natural gas sweetening Chemical Engineering Research & Design. 132: 1005-1019. DOI: 10.1016/J.Cherd.2018.01.033 |
0.314 |
|
2018 |
Jing R, Wang M, Liang H, Wang X, Li N, Shah N, Zhao Y. Multi-objective optimization of a neighborhood-level urban energy network: Considering Game-theory inspired multi-benefit allocation constraints Applied Energy. 231: 534-548. DOI: 10.1016/J.Apenergy.2018.09.151 |
0.362 |
|
2018 |
Georgiou S, Shah N, Markides CN. A thermo-economic analysis and comparison of pumped-thermal and liquid-air electricity storage systems Applied Energy. 226: 1119-1133. DOI: 10.1016/J.Apenergy.2018.04.128 |
0.391 |
|
2018 |
Heuberger CF, Rubin ES, Staffell I, Shah N, Dowell NM. Corrigendum to “Power capacity expansion planning considering endogenous technology cost learning” [Appl. Energy 204 (2017) 831–845] Applied Energy. DOI: 10.1016/J.Apenergy.2018.01.069 |
0.323 |
|
2018 |
Zheng X, Wu G, Qiu Y, Zhan X, Shah N, Li N, Zhao Y. A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China Applied Energy. 210: 1126-1140. DOI: 10.1016/J.Apenergy.2017.06.038 |
0.391 |
|
2017 |
Del Rio-Chanona EA, Liu J, Wagner JL, Zhang D, Meng Y, Xue S, Shah N. Dynamic modelling of green algae cultivation in a photobioreactor for sustainable biodiesel production. Biotechnology and Bioengineering. PMID 29080352 DOI: 10.1002/Bit.26483 |
0.362 |
|
2017 |
Del Rio-Chanona EA, Fiorelli F, Zhang D, Ahmed NR, Jing K, Shah N. An efficient model construction strategy to simulate microalgal lutein photo-production dynamic process. Biotechnology and Bioengineering. PMID 28671262 DOI: 10.1002/Bit.26373 |
0.357 |
|
2017 |
Farzad S, Mandegari MA, Guo M, Haigh KF, Shah N, Görgens JF. Multi-product biorefineries from lignocelluloses: a pathway to revitalisation of the sugar industry? Biotechnology For Biofuels. 10: 87. PMID 28400858 DOI: 10.1186/S13068-017-0761-9 |
0.32 |
|
2017 |
Borello D, Pantaleo AM, Caucci M, Caprariis BD, Filippis PD, Shah N. Modeling and Experimental Study of a Small Scale Olive Pomace Gasifier for Cogeneration: Energy and Profitability Analysis Energies. 10: 1930. DOI: 10.3390/En10121930 |
0.385 |
|
2017 |
Strapasson A, Woods J, Chum H, Kalas N, Shah N, Rosillo-Calle F. On the global limits of bioenergy and land use for climate change mitigation Gcb Bioenergy. 9: 1721-1735. DOI: 10.1111/Gcbb.12456 |
0.314 |
|
2017 |
Hankin A, Shah N. Process exploration and assessment for the production of methanol and dimethyl ether from carbon dioxide and water Sustainable Energy and Fuels. 1: 1541-1556. DOI: 10.1039/C7Se00206H |
0.328 |
|
2017 |
Dowell NM, Fennell PS, Shah N, Maitland GC. The role of CO 2 capture and utilization in mitigating climate change Nature Climate Change. 7: 243-249. DOI: 10.1038/Nclimate3231 |
0.318 |
|
2017 |
Kong Q, Shah N. Development of an Optimization-Based Framework for Simultaneous Process Synthesis and Heat Integration Industrial & Engineering Chemistry Research. 56: 5000-5013. DOI: 10.1021/Acs.Iecr.7B00549 |
0.365 |
|
2017 |
Sharifzadeh M, Lubiano-Walochik H, Shah N. Integrated renewable electricity generation considering uncertainties: The UK roadmap to 50% power generation from wind and solar energies Renewable & Sustainable Energy Reviews. 72: 385-398. DOI: 10.1016/J.Rser.2017.01.069 |
0.357 |
|
2017 |
Wang X, Dam KHv, Triantafyllidis C, Koppelaar RHEM, Shah N. Water and Energy Systems in Sustainable City Development: A Case of Sub-saharan Africa☆ Procedia Engineering. 198: 948-957. DOI: 10.1016/J.Proeng.2017.07.140 |
0.36 |
|
2017 |
Sikarwar VS, Zhao M, Fennell PS, Shah N, Anthony EJ. Progress in biofuel production from gasification Progress in Energy and Combustion Science. 61: 189-248. DOI: 10.1016/J.Pecs.2017.04.001 |
0.385 |
|
2017 |
Al-Ansari T, Korre A, Nie Z, Shah N. Integration of greenhouse gas control technologies within the energy, water and food nexus to enhance the environmental performance of food production systems Journal of Cleaner Production. 162: 1592-1606. DOI: 10.1016/J.Jclepro.2017.06.097 |
0.369 |
|
2017 |
Leeson D, Dowell NM, Shah N, Petit C, Fennell PS. A Techno-economic analysis and systematic review of carbon capture and storage (CCS) applied to the iron and steel, cement, oil refining and pulp and paper industries, as well as other high purity sources International Journal of Greenhouse Gas Control. 61: 71-84. DOI: 10.1016/J.Ijggc.2017.03.020 |
0.341 |
|
2017 |
Porter RTJ, Fairweather M, Kolster C, Dowell NM, Shah N, Woolley RM. Cost and performance of some carbon capture technology options for producing different quality CO2 product streams International Journal of Greenhouse Gas Control. 57: 185-195. DOI: 10.1016/J.Ijggc.2016.11.020 |
0.349 |
|
2017 |
Foster E, Contestabile M, Blazquez J, Manzano B, Workman M, Shah N. The unstudied barriers to widespread renewable energy deployment: Fossil fuel price responses Energy Policy. 103: 258-264. DOI: 10.1016/J.Enpol.2016.12.050 |
0.341 |
|
2017 |
Mahdi S, Wang X, Shah N. Interactions between the Design and Operation of Shale Gas Networks, Including CO 2 Sequestration Engineering. 3: 244-256. DOI: 10.1016/J.Eng.2017.02.007 |
0.325 |
|
2017 |
Delangle A, Lambert RSC, Shah N, Acha S, Markides CN. Modelling and optimising the marginal expansion of an existing district heating network Energy. 140: 209-223. DOI: 10.1016/J.Energy.2017.08.066 |
0.353 |
|
2017 |
Zheng X, Qiu Y, Zhan X, Zhu X, Keirstead J, Shah N, Zhao Y. Optimization based planning of urban energy systems: Retrofitting a Chinese industrial park as a case-study Energy. 139: 31-41. DOI: 10.1016/J.Energy.2017.07.139 |
0.409 |
|
2017 |
Pantaleo AM, Camporeale SM, Sorrentino A, Miliozzi A, Shah N, Markides CN. Solar/biomass hybrid cycles with thermal storage and bottoming ORC: System integration and economic analysis Energy Procedia. 129: 724-731. DOI: 10.1016/J.Egypro.2017.09.105 |
0.325 |
|
2017 |
Karatayev M, Rivotti P, Mourão ZS, Konadu DD, Shah N, Clarke M. The water-energy-food nexus in Kazakhstan: challenges and opportunities Energy Procedia. 125: 63-70. DOI: 10.1016/J.Egypro.2017.08.064 |
0.303 |
|
2017 |
Georgiou S, Acha S, Shah N, Markides CN. Assessing, benchmarking and analyzing heating and cooling requirements for glasshouse food production: a design and operation modelling framework Energy Procedia. 123: 164-172. DOI: 10.1016/J.Egypro.2017.07.250 |
0.342 |
|
2017 |
Pantaleo AM, Camporeale SM, Markides CN, Mugnozza GS, Shah N. Energy Performance and Thermo-economic Assessment of a Microturbine-based Dual-fuel Gas-biomass Trigeneration System☆ Energy Procedia. 105: 764-772. DOI: 10.1016/J.Egypro.2017.03.387 |
0.378 |
|
2017 |
Pantaleo AM, Camporeale SM, Miliozzi A, Russo V, Mugnozza GS, Markides CN, Shah N. Thermo-economic Assessment of an Externally Fired Hybrid CSP/biomass Gas Turbine and Organic Rankine Combined Cycle Energy Procedia. 105: 174-181. DOI: 10.1016/J.Egypro.2017.03.298 |
0.377 |
|
2017 |
Heuberger CF, Staffell I, Shah N, Dowell NM. What is the Value of CCS in the Future Energy System Energy Procedia. 114: 7564-7572. DOI: 10.1016/J.Egypro.2017.03.1888 |
0.358 |
|
2017 |
Elahi N, Shah N, Korre A, Durucan S. Multi-stage Stochastic Optimisation of a CO 2 Transport and Geological Storage in the UK Energy Procedia. 114: 6514-6525. DOI: 10.1016/J.Egypro.2017.03.1787 |
0.401 |
|
2017 |
Heuberger CF, Staffell I, Shah N, Dowell NM, Davison J. An MILP Modeling Approach to Systemic Energy Technology Valuation in the 21st Century Energy System Energy Procedia. 114: 6358-6365. DOI: 10.1016/J.Egypro.2017.03.1772 |
0.378 |
|
2017 |
Leeson D, Fennell P, Shah N, Petit C, Dowell NM. A Techno-economic Analysis and Systematic Review of Carbon Capture and Storage (CCS) Applied to the Iron and Steel, Cement, Oil Refining and Pulp and Paper Industries☆ Energy Procedia. 114: 6297-6302. DOI: 10.1016/J.Egypro.2017.03.1766 |
0.317 |
|
2017 |
Heuberger CF, Staffell I, Shah N, Dowell NM. A systems approach to quantifying the value of power generation and energy storage technologies in future electricity networks Computers & Chemical Engineering. 107: 247-256. DOI: 10.1016/J.Compchemeng.2017.05.012 |
0.374 |
|
2017 |
Leeson D, Fennell P, Dowell NM, Shah N. Simultaneous design of separation sequences and whole process energy integration Chemical Engineering Research & Design. 125: 166-180. DOI: 10.1016/J.Cherd.2017.07.009 |
0.386 |
|
2017 |
Sharifzadeh M, Richard CJ, Shah N. Modelling the kinetics of pyrolysis oil hydrothermal upgrading based on the connectivity of oxygen atoms, quantified by 31P-NMR Biomass & Bioenergy. 98: 272-290. DOI: 10.1016/J.Biombioe.2017.01.022 |
0.326 |
|
2017 |
Heuberger CF, Rubin ES, Staffell I, Shah N, Dowell NM. Power capacity expansion planning considering endogenous technology cost learning Applied Energy. 204: 831-845. DOI: 10.1016/J.Apenergy.2017.07.075 |
0.354 |
|
2017 |
Pantaleo AM, Camporeale SM, Miliozzi A, Russo V, Shah N, Markides CN. Novel hybrid CSP-biomass CHP for flexible generation: Thermo-economic analysis and profitability assessment Applied Energy. 204: 994-1006. DOI: 10.1016/J.Apenergy.2017.05.019 |
0.389 |
|
2017 |
Mariaud A, Acha S, Ekins-Daukes N, Shah N, Markides CN. Integrated optimisation of photovoltaic and battery storage systems for UK commercial buildings Applied Energy. 199: 466-478. DOI: 10.1016/J.Apenergy.2017.04.067 |
0.409 |
|
2017 |
Bhave A, Taylor RHS, Fennell P, Livingston WR, Shah N, Dowell NM, Dennis J, Kraft M, Pourkashanian M, Insa M, Jones J, Burdett N, Bauen A, Beal C, Smallbone A, et al. Screening and techno-economic assessment of biomass-based power generation with CCS technologies to meet 2050 CO2 targets Applied Energy. 190: 481-489. DOI: 10.1016/J.Apenergy.2016.12.120 |
0.362 |
|
2017 |
Panteli A, Giarola S, Shah N. Biobased Supply Chain Optimisation Model under Uncertainties Computer-Aided Chemical Engineering. 40: 961-966. DOI: 10.1016/B978-0-444-63965-3.50162-8 |
0.398 |
|
2017 |
Kong Q, Shah N. An Optimisation-based Framework for Simultaneous Process Synthesis and Heat Integration Computer-Aided Chemical Engineering. 40: 619-624. DOI: 10.1016/B978-0-444-63965-3.50105-7 |
0.382 |
|
2017 |
Klymenko OV, Kucherenko S, Shah N. Constrained Global Sensitivity Analysis: Sobol’ indices for problems in non-rectangular domains Computer-Aided Chemical Engineering. 40: 151-156. DOI: 10.1016/B978-0-444-63965-3.50027-1 |
0.311 |
|
2017 |
Khor CS, Elkamel A, Shah N. Optimization methods for petroleum fields development and production systems: a review Optimization and Engineering. 18: 907-941. DOI: 10.1007/S11081-017-9365-2 |
0.336 |
|
2016 |
Lin Y, Guo M, Shah N, Stuckey DC. Economic and environmental evaluation of nitrogen removal and recovery methods from wastewater. Bioresource Technology. PMID 27005785 DOI: 10.1016/J.Biortech.2016.03.064 |
0.342 |
|
2016 |
Niu H, Shah N, Kontoravdi C. Modelling of amorphous cellulose depolymerisation by cellulases, parametric studies and optimisation. Biochemical Engineering Journal. 105: 455-472. PMID 26865832 DOI: 10.1016/J.Bej.2015.10.017 |
0.347 |
|
2016 |
Lambert RSC, Maier S, Shah N, Polak JW. Optimal phasing of district heating network investments using multi-stage stochastic programming International Journal of Sustainable Energy Planning and Management. 9: 57-74. DOI: 10.5278/Ijsepm.2016.9.5 |
0.34 |
|
2016 |
Heuberger CF, Staffell I, Shah N, Mac Dowell N. Quantifying the value of CCS for the future electricity system Energy and Environmental Science. 9: 2497-2510. DOI: 10.1039/C6Ee01120A |
0.329 |
|
2016 |
Sikarwar VS, Zhao M, Clough P, Yao J, Zhong X, Memon MZ, Shah N, Anthony EJ, Fennell PS. An overview of advances in biomass gasification Energy and Environmental Science. 9: 2939-2977. DOI: 10.1039/C6Ee00935B |
0.357 |
|
2016 |
Koppelaar RHEM, Keirstead J, Shah N, Woods J. A review of policy analysis purpose and capabilities of electricity system models Renewable and Sustainable Energy Reviews. 59: 1531-1544. DOI: 10.1016/J.Rser.2016.01.090 |
0.326 |
|
2016 |
Acha S, Du Y, Shah N. Enhancing energy efficiency in supermarket refrigeration systems through a robust energy performance indicator International Journal of Refrigeration. 64: 40-50. DOI: 10.1016/J.Ijrefrig.2015.12.003 |
0.333 |
|
2016 |
Porter RT, Mahgerefteh H, Brown S, Martynov S, Collard A, Woolley RM, Fairweather M, Falle SA, Wareing CJ, Nikolaidis IK, Boulougouris GC, Peristeras LD, Tsangaris DM, Economou IG, Salvador C, ... ... Shah N, et al. Techno-economic assessment of CO 2 quality effect on its storage and transport: CO 2 QUEST International Journal of Greenhouse Gas Control. 54: 662-681. DOI: 10.1016/J.Ijggc.2016.08.011 |
0.345 |
|
2016 |
Alhajaj A, Mac Dowell N, Shah N. A techno-economic analysis of post-combustion CO2 capture and compression applied to a combined cycle gas turbine: Part II. Identifying the cost-optimal control and design variables International Journal of Greenhouse Gas Control. 52: 331-343. DOI: 10.1016/J.Ijggc.2016.07.008 |
0.361 |
|
2016 |
Alhajaj A, Mac Dowell N, Shah N. A techno-economic analysis of post-combustion CO2 capture and compression applied to a combined cycle gas turbine: Part I. A parametric study of the key technical performance indicators International Journal of Greenhouse Gas Control. 44: 26-41. DOI: 10.1016/J.Ijggc.2015.10.022 |
0.404 |
|
2016 |
Kong Q, Shah N. An optimisation-based framework for the conceptual design of reaction-separation processes Chemical Engineering Research and Design. 113: 206-222. DOI: 10.1016/J.Cherd.2016.07.021 |
0.399 |
|
2016 |
Giarola S, Romain C, Williams CK, Hallett JP, Shah N. Techno-economic assessment of the production of phthalic anhydride from corn stover Chemical Engineering Research and Design. 107: 181-194. DOI: 10.1016/J.Cherd.2015.10.034 |
0.394 |
|
2016 |
Alvarado DC, Acha S, Shah N, Markides CN. A Technology Selection and Operation (TSO) optimisation model for distributed energy systems: Mathematical formulation and case study Applied Energy. 180: 491-503. DOI: 10.1016/J.Apenergy.2016.08.013 |
0.399 |
|
2016 |
Sharifzadeh M, Bumb P, Shah N. Carbon capture from pulverized coal power plant (PCPP): Solvent performance comparison at an industrial scale Applied Energy. 163: 423-435. DOI: 10.1016/J.Apenergy.2015.11.017 |
0.357 |
|
2016 |
Patel B, Guo M, Shah N, Hellgardt K. Environmental profile of algal Hydrothermal Liquefaction - A country specific case study Algal Research. 16: 127-140. DOI: 10.1016/J.Algal.2015.12.017 |
0.374 |
|
2016 |
Al-Ansari T, Korre A, Nie Z, Shah N. Integration of Biomass Gasification and CO2 Capture in the LCA Model for the Energy, Water and Food Nexus Computer-Aided Chemical Engineering. 38: 2085-2090. DOI: 10.1016/B978-0-444-63428-3.50352-0 |
0.373 |
|
2016 |
Delval F, Guo M, Dam KHv, Stray J, Haigh K, Görgens J, Shah N. Integrated multi-level bioenergy supply chain modelling applied to sugarcane biorefineries in South Africa Computer-Aided Chemical Engineering. 38: 2037-2042. DOI: 10.1016/B978-0-444-63428-3.50344-1 |
0.368 |
|
2016 |
Nguyen R, Guo M, Musikavong C, Bamroongrugsa N, Shah N. Supply Chain optimisation of Nipa-based bioethanol industry in Thailand Computer-Aided Chemical Engineering. 38: 913-918. DOI: 10.1016/B978-0-444-63428-3.50157-0 |
0.428 |
|
2016 |
Heuberger CF, Staffell I, Shah N, Dowell NM. Levelised Value of Electricity - A Systemic Approach to Technology Valuation Computer-Aided Chemical Engineering. 38: 721-726. DOI: 10.1016/B978-0-444-63428-3.50125-9 |
0.391 |
|
2016 |
Samsatli S, Ramos A, Matchett M, Brandon NP, Shah N, Samsatli NJ. Whole-Systems Modelling of Alternatives for Future Domestic Transport Computer-Aided Chemical Engineering. 38: 457-462. DOI: 10.1016/B978-0-444-63428-3.50081-3 |
0.337 |
|
2016 |
Panteli A, Giarola S, Shah N. Lignocellulosic supply chain MILP model: a Hungarian case study Computer-Aided Chemical Engineering. 38: 253-258. DOI: 10.1016/B978-0-444-63428-3.50047-3 |
0.444 |
|
2016 |
Bustos G, Guo M, Dam KHv, Acha S, Shah N. Incorporating life cycle assessment indicators into optimal electric vehicle charging strategies: An integrated modelling approach Computer-Aided Chemical Engineering. 38: 241-246. DOI: 10.1016/B978-0-444-63428-3.50045-X |
0.32 |
|
2016 |
Dominguez-Ramos A, Triantafyllidis C, Samsatli S, Shah N, Irabien A. Renewable electricity integration at a regional level: Cantabria case study Computer-Aided Chemical Engineering. 38: 211-216. DOI: 10.1016/B978-0-444-63428-3.50040-0 |
0.382 |
|
2016 |
Klymenko OV, Shah N, Kontoravdi C, Royle KE, Polizzi KM. Designing an Artificial Golgi reactor to achieve targeted glycosylation of monoclonal antibodies Aiche Journal. DOI: 10.1002/Aic.15388 |
0.324 |
|
2016 |
Sharifzadeh M, Shah N. Carbon capture from natural gas combined cycle power plants: Solvent performance comparison at an industrial scale Aiche Journal. 62: 166-179. DOI: 10.1002/Aic.15072 |
0.3 |
|
2015 |
Al-Ansari T, Korre A, Nie Z, Shah N. Development of a life cycle assessment tool for the assessment of food production systems within the energy, water and food nexus Sustainable Production and Consumption. 2: 52-66. DOI: 10.1016/J.Spc.2015.07.005 |
0.351 |
|
2015 |
Sharifzadeh M, Wang L, Shah N. Integrated biorefineries: CO2 utilization for maximum biomass conversion Renewable and Sustainable Energy Reviews. 47: 151-161. DOI: 10.1016/J.Rser.2015.03.001 |
0.346 |
|
2015 |
Sharifzadeh M, Shah N. Comparative studies of CO2 capture solvents for gas-fired power plants: Integrated modelling and pilot plant assessments International Journal of Greenhouse Gas Control. 43: 124-132. DOI: 10.1016/J.Ijggc.2015.10.009 |
0.368 |
|
2015 |
Lomax G, Workman M, Lenton T, Shah N. Reframing the policy approach to greenhouse gas removal technologies Energy Policy. 78: 125-136. DOI: 10.1016/J.Enpol.2014.10.002 |
0.335 |
|
2015 |
Voll P, Jennings M, Hennen M, Shah N, Bardow A. The optimum is not enough: A near-optimal solution paradigm for energy systems synthesis Energy. 82: 446-456. DOI: 10.1016/J.Energy.2015.01.055 |
0.329 |
|
2015 |
Pantaleo AM, Ciliberti P, Camporeale S, Shah N. Thermo-economic Assessment of Small Scale Biomass CHP: Steam Turbines vs ORC in Different Energy Demand Segments☆ Energy Procedia. 75: 1609-1617. DOI: 10.1016/J.Egypro.2015.07.381 |
0.393 |
|
2015 |
Borello D, Caprariis BD, Filippis PD, Carlo AD, Marchegiani A, Pantaleo AM, Shah N, Venturini P. Thermo-Economic Assessment of a Olive Pomace Gasifier for Cogeneration Applications Energy Procedia. 75: 252-258. DOI: 10.1016/J.Egypro.2015.07.325 |
0.369 |
|
2015 |
Guo M, Richter GM, Holland RA, Eigenbrod F, Taylor G, Shah N. Implementing land-use and ecosystem service effects into an integrated bioenergy value chain optimisation framework Computers and Chemical Engineering. DOI: 10.1016/J.Compchemeng.2016.02.011 |
0.355 |
|
2015 |
Dowell NM, Shah N. The multi-period optimisation of an amine-based CO2 capture process integrated with a super-critical coal-fired power station for flexible operation Computers & Chemical Engineering. 74: 169-183. DOI: 10.1016/J.Compchemeng.2015.01.006 |
0.356 |
|
2015 |
Niu H, Leak D, Shah N, Kontoravdi C. Metabolic characterization and modeling of fermentation process of an engineered Geobacillus thermoglucosidasius strain for bioethanol production with gas stripping Chemical Engineering Science. 122: 138-149. DOI: 10.1016/J.Ces.2014.09.004 |
0.316 |
|
2015 |
Sharifzadeh M, Garcia MC, Shah N. Supply chain network design and operation: Systematic decision-making for centralized, distributed, and mobile biofuel production using mixed integer linear programming (MILP) under uncertainty Biomass and Bioenergy. 81: 401-414. DOI: 10.1016/J.Biombioe.2015.07.026 |
0.398 |
|
2015 |
Sharifzadeh M, Richard CJ, Liu K, Hellgardt K, Chadwick D, Shah N. An integrated process for biomass pyrolysis oil upgrading: A synergistic approach Biomass and Bioenergy. 76: 108-117. DOI: 10.1016/J.Biombioe.2015.03.003 |
0.318 |
|
2015 |
Sharifzadeh M, Wang L, Shah N. Decarbonisation of olefin processes using biomass pyrolysis oil Applied Energy. 149: 404-414. DOI: 10.1016/J.Apenergy.2015.03.081 |
0.328 |
|
2015 |
Samsatli S, Samsatli NJ, Shah N. BVCM: A comprehensive and flexible toolkit for whole system biomass value chain analysis and optimisation - Mathematical formulation Applied Energy. 147: 131-160. DOI: 10.1016/J.Apenergy.2015.01.078 |
0.408 |
|
2015 |
Giarola S, Romain C, Williams CK, Hallett JP, Shah N. Production of phthalic anhydride from biorenewables: Process design Computer Aided Chemical Engineering. 37: 2561-2566. DOI: 10.1016/B978-0-444-63576-1.50121-7 |
0.343 |
|
2015 |
Guo M, Shah N. Bringing Non-energy Systems into a Bioenergy Value Chain Optimization Framework Computer-Aided Chemical Engineering. 37: 2351-2356. DOI: 10.1016/B978-0-444-63576-1.50086-8 |
0.413 |
|
2015 |
Ortiz-Gutiérrez RA, Giarola S, Shah N, Bezzo F. An approach to optimize multi-enterprise biofuel supply chains including Nash equilibrium models Computer-Aided Chemical Engineering. 37: 2255-2260. DOI: 10.1016/B978-0-444-63576-1.50070-4 |
0.384 |
|
2015 |
Caritte V, Acha S, Shah N. Enhancing Corporate Environmental Performance Through Reporting and Roadmaps Business Strategy and the Environment. 24: 289-308. DOI: 10.1002/Bse.1818 |
0.357 |
|
2014 |
Giarola S, Patel M, Shah N. Biomass supply chain optimisation for Organosolv-based biorefineries. Bioresource Technology. 159: 387-96. PMID 24675398 DOI: 10.1016/J.Biortech.2014.02.109 |
0.331 |
|
2014 |
Chen L, Sharifzadeh M, Mac Dowell N, Welton T, Shah N, Hallett JP. Inexpensive ionic liquids: [HSO4]--based solvent production at bulk scale Green Chemistry. 16: 3098-3106. DOI: 10.1039/C4Gc00016A |
0.303 |
|
2014 |
Boot-Handford ME, Abanades JC, Anthony EJ, Blunt MJ, Brandani S, Mac Dowell N, Fernández JR, Ferrari MC, Gross R, Hallett JP, Haszeldine RS, Heptonstall P, Lyngfelt A, Makuch Z, Mangano E, ... ... Shah N, et al. Carbon capture and storage update Energy and Environmental Science. 7: 130-189. DOI: 10.1039/C3Ee42350F |
0.33 |
|
2014 |
Khor CS, Chachuat B, Shah N. Optimization of Water Network Synthesis for Single-Site and Continuous Processes: Milestones, Challenges, and Future Directions Industrial & Engineering Chemistry Research. 53: 10257-10275. DOI: 10.1021/Ie4039482 |
0.316 |
|
2014 |
Pantaleo A, Candelise C, Bauen A, Shah N. ESCO business models for biomass heating and CHP: Profitability of ESCO operations in Italy and key factors assessment Renewable & Sustainable Energy Reviews. 30: 237-253. DOI: 10.1016/J.Rser.2013.10.001 |
0.341 |
|
2014 |
Khor CS, Chachuat B, Shah N. Fixed-flowrate total water network synthesis under uncertainty with risk management Journal of Cleaner Production. 77: 79-93. DOI: 10.1016/J.Jclepro.2014.01.023 |
0.345 |
|
2014 |
Akgul O, Dowell NM, Papageorgiou LG, Shah N. A mixed integer nonlinear programming (MINLP) supply chain optimisation framework for carbon negative electricity generation using biomass to energy with CCS (BECCS) in the UK International Journal of Greenhouse Gas Control. 28: 189-202. DOI: 10.1016/J.Ijggc.2014.06.017 |
0.339 |
|
2014 |
Dowell NM, Shah N. Dynamic modelling and analysis of a coal-fired power plant integrated with a novel split-flow configuration post-combustion CO2 capture process International Journal of Greenhouse Gas Control. 27: 103-119. DOI: 10.1016/J.Ijggc.2014.05.007 |
0.336 |
|
2014 |
Jennings M, Fisk D, Shah N. Modelling and optimization of retrofitting residential energy systems at the urban scale Energy. 64: 220-233. DOI: 10.1016/J.Energy.2013.10.076 |
0.389 |
|
2014 |
Pantaleo AM, Giarola S, Bauen A, Shah N. Integration of biomass into urban energy systems for heat and power. Part II: sensitivity assessment of main techno-economic factors. Energy Conversion and Management. 83: 362-376. DOI: 10.1016/J.Enconman.2014.03.051 |
0.377 |
|
2014 |
Pantaleo AM, Giarola S, Bauen A, Shah N. Integration of biomass into urban energy systems for heat and power. Part I: An MILP based spatial optimization methodology Energy Conversion and Management. 83: 347-361. DOI: 10.1016/J.Enconman.2014.03.050 |
0.383 |
|
2014 |
Korre A, Nie Z, Durucan S, Elahi N, Shah N, Ahmad S, Goldthorpe W. The Effect of Market and Leasing Conditions on the Techno-economic Performance of Complex CO2 transport and storage value chains☆ Energy Procedia. 63: 7225-7233. DOI: 10.1016/J.Egypro.2014.11.758 |
0.358 |
|
2014 |
Elahi N, Shah N, Korre A, Durucan S. Multi-period Least Cost Optimisation Model of an Integrated Carbon Dioxide Capture Transportation and Storage Infrastructure in the UK Energy Procedia. 63: 2655-2662. DOI: 10.1016/J.Egypro.2014.11.288 |
0.389 |
|
2014 |
Brown S, Martynov S, Mahgerefteh H, Fairweather M, Woolley RM, Wareing CJ, Falle SAEG, Rutters H, Niemi A, Zhang YC, Chen S, Besnebat J, Shah N, Dowell NM, Proust C, et al. CO2QUEST: Techno-economic assessment of CO2 quality effect on its storage and transport Energy Procedia. 63: 2622-2629. DOI: 10.1016/J.Egypro.2014.11.284 |
0.337 |
|
2014 |
Dowell NM, Shah N. Optimisation of Post-combustion CO2 Capture for Flexible Operation Energy Procedia. 63: 1525-1535. DOI: 10.1016/J.Egypro.2014.11.162 |
0.367 |
|
2014 |
Zhang Q, Shah N, Wassick J, Helling R, Egerschot PV. Sustainable supply chain optimisation: An industrial case study Computers & Industrial Engineering. 74: 68-83. DOI: 10.1016/J.Cie.2014.05.002 |
0.367 |
|
2014 |
Jennings MG, Shah N. Workforce planning and technology installation optimisation for utilities Computers & Industrial Engineering. 67: 72-81. DOI: 10.1016/J.Cie.2013.10.008 |
0.353 |
|
2014 |
Pantaleo AM, Camporeale S, Shah N. Natural gas–biomass dual fuelled microturbines: Comparison of operating strategies in the Italian residential sector Applied Thermal Engineering. 71: 686-696. DOI: 10.1016/J.Applthermaleng.2013.10.056 |
0.387 |
|
2014 |
Voll P, Jennings M, Hennen M, Shah N, Bardow A. The Good, the Bad, and Your Real Choices : Decision Support for Energy Systems Synthesis through Near-Optimal Solutions Analysis Computer-Aided Chemical Engineering. 33: 25-30. DOI: 10.1016/B978-0-444-63456-6.50005-3 |
0.351 |
|
2014 |
Al-Ansari T, Korre A, Nie Z, Shah N. Development of a Life Cycle Assessment Model for the Analysis of the Energy, Water and Food Nexus Computer-Aided Chemical Engineering. 33: 1039-1044. DOI: 10.1016/B978-0-444-63455-9.50008-8 |
0.338 |
|
2013 |
Pantaleo A, Gennaro BD, Shah N. Assessment of optimal size of anaerobic co-digestion plants: An application to cattle farms in the province of Bari (Italy) Renewable & Sustainable Energy Reviews. 20: 57-70. DOI: 10.1016/J.Rser.2012.11.068 |
0.361 |
|
2013 |
Dowell NM, Shah N. Identification of the cost-optimal degree of CO2 capture: An optimisation study using dynamic process models International Journal of Greenhouse Gas Control. 13: 44-58. DOI: 10.1016/J.Ijggc.2012.11.029 |
0.418 |
|
2013 |
Zhang D, Samsatli NJ, Hawkes AD, Brett DJL, Shah N, Papageorgiou LG. Fair electricity transfer price and unit capacity selection for microgrids Energy Economics. 36: 581-593. DOI: 10.1016/J.Eneco.2012.11.005 |
0.37 |
|
2013 |
Pantaleo A, Camporeale S, Shah N. Thermo-economic assessment of externally fired micro-gas turbine fired by natural gas and biomass: applications in Italy. Energy Conversion and Management. 75: 202-213. DOI: 10.1016/J.Enconman.2013.06.017 |
0.359 |
|
2013 |
Zhang D, Shah N, Papageorgiou LG. Efficient energy consumption and operation management in a smart building with microgrid Energy Conversion and Management. 74: 209-222. DOI: 10.1016/J.Enconman.2013.04.038 |
0.357 |
|
2013 |
Mavromatidis G, Acha S, Shah N. Diagnostic tools of energy performance for supermarkets using Artificial Neural Network algorithms Energy and Buildings. 62: 304-314. DOI: 10.1016/J.Enbuild.2013.03.020 |
0.343 |
|
2013 |
Alhajaj A, Dowell NM, Shah N. Multiscale Design and Analysis of CO2 Capture, Transport and Storage Networks Energy Procedia. 37: 2552-2561. DOI: 10.1016/J.Egypro.2013.06.138 |
0.363 |
|
2013 |
Kontoravdi C, Samsatli NJ, Shah N. Development and design of bio-pharmaceutical processes Current Opinion in Chemical Engineering. 2: 435-441. DOI: 10.1016/J.Coche.2013.09.007 |
0.358 |
|
2013 |
Giarola S, Bezzo F, Shah N. A risk management approach to the economic and environmental strategic design of ethanol supply chains. Biomass & Bioenergy. 58: 31-51. DOI: 10.1016/J.Biombioe.2013.08.005 |
0.365 |
|
2012 |
Giarola S, Shah N, Bezzo F. A comprehensive approach to the design of ethanol supply chains including carbon trading effects Bioresource Technology. 107: 175-185. PMID 22225607 DOI: 10.1016/J.Biortech.2011.11.090 |
0.411 |
|
2012 |
Liang H, Long WD, Keirstead J, Samsatli N, Shah N. Urban Energy System Planning and Chinese Low-Carbon Eco-City Case Study Advanced Materials Research. 1338-1345. DOI: 10.4028/Www.Scientific.Net/Amr.433-440.1338 |
0.349 |
|
2012 |
McGlashan N, Shah N, Caldecott B, Workman M. High-level techno-economic assessment of negative emissions technologies Process Safety and Environmental Protection. 90: 501-510. DOI: 10.1016/J.Psep.2012.10.004 |
0.329 |
|
2012 |
Almansoori A, Shah N. Design and operation of a stochastic hydrogen supply chain network under demand uncertainty International Journal of Hydrogen Energy. 37: 3965-3977. DOI: 10.1016/J.Ijhydene.2011.11.091 |
0.384 |
|
2012 |
Arce A, Mac Dowell N, Shah N, Vega LF. Flexible operation of solvent regeneration systems for CO2 capture processes using advanced control techniques: Towards operational cost minimisation International Journal of Greenhouse Gas Control. 11: 236-250. DOI: 10.1016/J.Ijggc.2012.09.004 |
0.368 |
|
2012 |
Keirstead J, Samsatli N, Shah N, Weber C. The impact of CHP (combined heat and power) planning restrictions on the efficiency of urban energy systems Energy. 41: 93-103. DOI: 10.1016/J.Energy.2011.06.011 |
0.386 |
|
2012 |
Khor CS, Chachuat B, Shah N. A superstructure optimization approach for water network synthesis with membrane separation-based regenerators Computers & Chemical Engineering. 42: 48-63. DOI: 10.1016/J.Compchemeng.2012.02.020 |
0.345 |
|
2012 |
Akgul O, Shah N, Papageorgiou LG. An optimisation framework for a hybrid first/second generation bioethanol supply chain Computers & Chemical Engineering. 42: 101-114. DOI: 10.1016/J.Compchemeng.2012.01.012 |
0.389 |
|
2012 |
Akgul O, Shah N, Papageorgiou LG. Economic optimisation of a UK advanced biofuel supply chain Biomass & Bioenergy. 41: 57-72. DOI: 10.1016/J.Biombioe.2012.01.040 |
0.36 |
|
2012 |
Keirstead J, Samsatli N, Pantaleo AM, Shah N. Evaluating biomass energy strategies for a UK eco-town with an MILP optimization model Biomass & Bioenergy. 39: 306-316. DOI: 10.1016/J.Biombioe.2012.01.022 |
0.428 |
|
2012 |
Mokhtar M, Ali MT, Khalilpour R, Abbas A, Shah N, Hajaj AA, Armstrong P, Chiesa M, Sgouridis S. Solar-assisted Post-combustion Carbon Capture feasibility study Applied Energy. 92: 668-676. DOI: 10.1016/J.Apenergy.2011.07.032 |
0.373 |
|
2012 |
Mehdizadeh A, Shah N, Raikar N, Bongers PMM. Food supply chain planning and quality optimization approach. Computer-Aided Chemical Engineering. 30: 1172-1176. DOI: 10.1016/B978-0-444-59520-1.50093-2 |
0.364 |
|
2012 |
Khor CS, Chachuat B, Shah N. Optimal water network synthesis with membrane separation-based regenerators Computer-Aided Chemical Engineering. 30: 36-40. DOI: 10.1016/B978-0-444-59519-5.50008-3 |
0.328 |
|
2012 |
Khor CS, Chachuat B, Shah N. Optimal water network synthesis with detailed membrane-based regenerator models Computer-Aided Chemical Engineering. 31: 1457-1461. DOI: 10.1016/B978-0-444-59506-5.50122-X |
0.33 |
|
2012 |
Mehdizadeh A, Shah N, Raikar N, Bongers PMM. An optimization of the food quality products throughout the supply chain Computer-Aided Chemical Engineering. 31: 1025-1029. DOI: 10.1016/B978-0-444-59506-5.50036-5 |
0.367 |
|
2012 |
Khor CS, Shah N, Mahadzir S, Elkamel A. Optimisation of petroleum refinery water network systems retrofit incorporating reuse, regeneration and recycle strategies Canadian Journal of Chemical Engineering. 90: 137-143. DOI: 10.1002/Cjce.20651 |
0.333 |
|
2012 |
Murthy Konda NVSN, Shah N, Brandon NP. Dutch hydrogen economy: Evolution of optimal supply infrastructure and evaluation of key influencing elements Asia-Pacific Journal of Chemical Engineering. 7: 534-546. DOI: 10.1002/Apj.604 |
0.357 |
|
2012 |
Liu S, Shah N, Papageorgiou LG. Multiechelon supply chain planning with sequence‐dependent changeovers and price elasticity of demand under uncertainty Aiche Journal. 58: 3390-3403. DOI: 10.1002/Aic.13732 |
0.385 |
|
2011 |
Hosseini SA, Shah N. Multi-scale process and supply chain modelling: from lignocellulosic feedstock to process and products Interface Focus. 1: 255-262. PMID 22482032 DOI: 10.1098/Rsfs.2010.0013 |
0.407 |
|
2011 |
Zamboni A, Murphy RJ, Woods J, Bezzo F, Shah N. Biofuels carbon footprints: Whole-systems optimisation for GHG emissions reduction. Bioresource Technology. 102: 7457-65. PMID 21641206 DOI: 10.1016/J.Biortech.2011.05.020 |
0.414 |
|
2011 |
Khor CS, Yeoh XQ, Shah N. Optimal Design of Petroleum Refinery Topology using a Discrete Optimization Approach with Logical Constraints Journal of Applied Sciences. 11: 3571-3578. DOI: 10.3923/Jas.2011.3571.3578 |
0.315 |
|
2011 |
Khor CS, Foo DCY, El-Halwagi MM, Tan RR, Shah N. A superstructure optimization approach for membrane separation-based water regeneration network synthesis with detailed nonlinear mechanistic reverse osmosis model Industrial and Engineering Chemistry Research. 50: 13444-13456. DOI: 10.1021/Ie200665G |
0.337 |
|
2011 |
Akgul O, Zamboni A, Bezzo F, Shah N, Papageorgiou LG. Optimization-Based Approaches for Bioethanol Supply Chains Industrial & Engineering Chemistry Research. 50: 4927-4938. DOI: 10.1021/Ie101392Y |
0.417 |
|
2011 |
Zhao Y, Sadhukhan J, Lanzini A, Brandon N, Shah N. Optimal integration strategies for a syngas fuelled SOFC and gas turbine hybrid Journal of Power Sources. 196: 9516-9527. DOI: 10.1016/J.Jpowsour.2011.07.044 |
0.395 |
|
2011 |
Murthy Konda NVSN, Shah N, Brandon NP. Optimal transition towards a large-scale hydrogen infrastructure for the transport sector: The case for the Netherlands International Journal of Hydrogen Energy. 36: 4619-4635. DOI: 10.1016/J.Ijhydene.2011.01.104 |
0.355 |
|
2011 |
Zhao Y, Shah N, Brandon N. Comparison between two optimization strategies for solid oxide fuel cell-gas turbine hybrid cycles International Journal of Hydrogen Energy. 36: 10235-10246. DOI: 10.1016/J.Ijhydene.2010.11.015 |
0.353 |
|
2011 |
Weber C, Shah N. Optimisation based design of a district energy system for an eco-town in the United Kingdom Energy. 36: 1292-1308. DOI: 10.1016/J.Energy.2010.11.014 |
0.366 |
|
2011 |
Stefansson H, Sigmarsdottir S, Jensson P, Shah N. Discrete and continuous time representations and mathematical models for large production scheduling problems: A case study from the pharmaceutical industry European Journal of Operational Research. 215: 383-392. DOI: 10.1016/J.Ejor.2011.06.021 |
0.339 |
|
2011 |
Keirstead J, Shah N. Calculating minimum energy urban layouts with mathematical programming and Monte Carlo analysis techniques Computers, Environment and Urban Systems. 35: 368-377. DOI: 10.1016/J.Compenvurbsys.2010.12.005 |
0.361 |
|
2011 |
Sousa RT, Liu S, Papageorgiou LG, Shah N. Global supply chain planning for pharmaceuticals Chemical Engineering Research & Design. 89: 2396-2409. DOI: 10.1016/J.Cherd.2011.04.005 |
0.371 |
|
2011 |
Hosseini SA, Shah N. Modelling enzymatic hydrolysis of cellulose part I: Population balance modelling of hydrolysis by endoglucanase Biomass & Bioenergy. 35: 3841-3848. DOI: 10.1016/J.Biombioe.2011.04.026 |
0.311 |
|
2011 |
Akgul O, Shah N, Papageorgiou LG. An MILP Model for the Strategic Design of the UK Bioethanol Supply Chain Computer-Aided Chemical Engineering. 29: 1799-1803. DOI: 10.1016/B978-0-444-54298-4.50138-0 |
0.381 |
|
2011 |
Hosseini SA, Shah N. Multiscale Modeling of Biorefineries Computer-Aided Chemical Engineering. 29: 1688-1692. DOI: 10.1016/B978-0-444-54298-4.50116-1 |
0.349 |
|
2011 |
Dowell NM, Alhajaj A, Konda M, Shah N. Multiscale whole-systems design and analysis of CO2 capture and transport networks Computer-Aided Chemical Engineering. 29: 1205-1209. DOI: 10.1016/B978-0-444-54298-4.50020-9 |
0.371 |
|
2011 |
Mehdizadeh A, Shah N, Bongers PMM, Almeida-Rivera C. Complex Network Optimization in FMCG Computer-Aided Chemical Engineering. 29: 890-894. DOI: 10.1016/B978-0-444-53711-9.50178-4 |
0.371 |
|
2011 |
Patel MP, Shah N, Ashe R. Plant-wide optimisation and control of a multi-scale pharmaceutical process Computer-Aided Chemical Engineering. 29: 713-717. DOI: 10.1016/B978-0-444-53711-9.50143-7 |
0.347 |
|
2011 |
Khor CS, Shah N. A superstructure optimization approach for optimal refinery water network systems synthesis with membrane-based regenerators Computer-Aided Chemical Engineering. 29: 361-365. DOI: 10.1016/B978-0-444-53711-9.50073-0 |
0.356 |
|
2011 |
Patel MP, Shah N, Ashe R. Robust optimisation methodology for the process synthesis of continuous technologies Computer-Aided Chemical Engineering. 29: 351-355. DOI: 10.1016/B978-0-444-53711-9.50071-7 |
0.368 |
|
2010 |
MacDowell N, Florin N, Buchard A, Hallett J, Galindo A, Jackson G, Adjiman CS, Williams CK, Shah N, Fennell P. An overview of CO2 capture technologies Energy and Environmental Science. 3: 1645-1669. DOI: 10.1039/C004106H |
0.319 |
|
2010 |
Sadhukhan J, Zhao Y, Leach M, Brandon NP, Shah N. Energy Integration and Analysis of Solid Oxide Fuel Cell Based Microcombined Heat and Power Systems and Other Renewable Systems Using Biomass Waste Derived Syngas Industrial & Engineering Chemistry Research. 49: 11506-11516. DOI: 10.1021/Ie1011855 |
0.319 |
|
2010 |
Hosseini SA, Lambert R, Kucherenko S, Shah N. Multiscale Modeling of Hydrothermal Pretreatment: From Hemicellulose Hydrolysis to Biomass Size Optimization† Energy & Fuels. 24: 4673-4680. DOI: 10.1021/Ef9012246 |
0.333 |
|
2010 |
Lambert RSC, Shah N, Kucherenko SS. Quasi-random-sampling high dimensional model representations for the construction of reduced discrete time state space dynamic models Procedia - Social and Behavioral Sciences. 2: 7696-7697. DOI: 10.1016/J.Sbspro.2010.05.184 |
0.308 |
|
2010 |
Sadhukhan J, Zhao Y, Shah N, Brandon NP. Performance analysis of integrated biomass gasification fuel cell (BGFC) and biomass gasification combined cycle (BGCC) systems Chemical Engineering Science. 65: 1942-1954. DOI: 10.1016/J.Ces.2009.11.022 |
0.35 |
|
2009 |
Hosseini SA, Shah N. Multiscale modelling of hydrothermal biomass pretreatment for chip size optimization Bioresource Technology. 100: 2621-2628. PMID 19136256 DOI: 10.1016/J.Biortech.2008.11.030 |
0.358 |
|
2009 |
Stefansson H, Jensson P, Shah N. Procedure for reducing the risk of delayed deliveries in make-to-order production Production Planning & Control. 20: 332-342. DOI: 10.1080/09537280902843698 |
0.342 |
|
2009 |
Zamboni A, Bezzo F, Shah N. Spatially Explicit Static Model for the Strategic Design of Future Bioethanol Production Systems. 2. Multi-Objective Environmental Optimization Energy & Fuels. 23: 5134-5143. DOI: 10.1021/Ef9004779 |
0.42 |
|
2009 |
Sadhukhan J, Ng KS, Shah N, Simons HJ. Heat Integration Strategy for Economic Production of Combined Heat and Power from Biomass Waste Energy & Fuels. 23: 5106-5120. DOI: 10.1021/Ef900472S |
0.386 |
|
2009 |
Zamboni A, Shah N, Bezzo F. Spatially Explicit Static Model for the Strategic Design of Future Bioethanol Production Systems. 1. Cost Minimization Energy & Fuels. 23: 5121-5133. DOI: 10.1021/Ef900456W |
0.431 |
|
2009 |
Zamboni A, Bezzo F, Shah N. Supply Chain Optimization for Bioethanol Production System in Northern Italy: Environmentally Conscious Strategic Design Computer-Aided Chemical Engineering. 27: 2037-2042. DOI: 10.1016/S1570-7946(09)70730-8 |
0.418 |
|
2009 |
Patel MP, Shah N, Ashe R. Modelling and Control of the Variable Channel Reactor Computer-Aided Chemical Engineering. 27: 1263-1268. DOI: 10.1016/S1570-7946(09)70601-7 |
0.344 |
|
2009 |
Kucherenko S, Rodriguez-Fernandez M, Pantelides C, Shah N. Monte Carlo evaluation of derivative-based global sensitivity measures Reliability Engineering and System Safety. 94: 1135-1148. DOI: 10.1016/J.Ress.2008.05.006 |
0.512 |
|
2009 |
Almansoori A, Shah N. Design and operation of a future hydrogen supply chain: Multi-period model International Journal of Hydrogen Energy. 34: 7883-7897. DOI: 10.1016/J.Ijhydene.2009.07.109 |
0.385 |
|
2009 |
Hosseini SA, Shah N. Multiscale modelling of biomass pretreatment for biofuels production Chemical Engineering Research & Design. 87: 1251-1260. DOI: 10.1016/J.Cherd.2009.04.018 |
0.316 |
|
2009 |
Feil B, Kucherenko S, Shah N. Volatility calibration using spline and high dimensional model representation models Wilmott Journal. 1: 179-195. DOI: 10.1002/Wilj.18 |
0.313 |
|
2009 |
Zhao Y, Shah N, Brandon N. The Development and Application of a Novel Optimisation Strategy for Solid Oxide Fuel Cell‐Gas Turbine Hybrid Cycles Fuel Cells. 10: 181-193. DOI: 10.1002/Fuce.200900127 |
0.399 |
|
2008 |
Dunnett AJ, Adjiman CS, Shah N. A spatially explicit whole-system model of the lignocellulosic bioethanol supply chain: an assessment of decentralised processing potential. Biotechnology For Biofuels. 1: 13. PMID 18662392 DOI: 10.1186/1754-6834-1-13 |
0.395 |
|
2008 |
Sousa R, Shah N, Papageorgiou LG. Supply chain design and multilevel planning—An industrial case Computers & Chemical Engineering. 32: 2643-2663. DOI: 10.1016/J.Compchemeng.2007.09.005 |
0.362 |
|
2008 |
Al-Ameri TA, Shah N, Papageorgiou LG. Optimization of vendor-managed inventory systems in a rolling horizon framework Computers & Industrial Engineering. 54: 1019-1047. DOI: 10.1016/J.Cie.2007.12.003 |
0.402 |
|
2007 |
Dunnett A, Adjiman C, Shah N. Biomass to Heat Supply Chains: Applications of Process Optimization Process Safety and Environmental Protection. 85: 419-429. DOI: 10.1205/Psep07022 |
0.428 |
|
2007 |
Tsang KH, Samsatli NJ, Shah N. Capacity Investment Planning for Multiple Vaccines Under Uncertainty: 1: Capacity Planning Food and Bioproducts Processing. 85: 120-128. DOI: 10.1205/Fbp06001 |
0.334 |
|
2007 |
Meepetchdee Y, Shah N. Logistical network design with robustness and complexity considerations International Journal of Physical Distribution & Logistics Management. 37: 201-222. DOI: 10.1108/09600030710742425 |
0.327 |
|
2007 |
Margono E, Samsatli N, Shah N. Generic modelling and simulation of stock levels in supply chains Computer-Aided Chemical Engineering. 24: 775-780. DOI: 10.1016/S1570-7946(07)80152-0 |
0.332 |
|
2007 |
Rodriguez-Fernandez M, Kucherenko S, Pantelides C, Shah N. Optimal experimental design based on global sensitivity analysis Computer Aided Chemical Engineering. 24: 63-68. DOI: 10.1016/S1570-7946(07)80034-4 |
0.517 |
|
2006 |
Tsang KH, Samsatli NJ, Shah N. Modelling and planning optimization of a complex flu vaccine facility Food and Bioproducts Processing. 84: 123-134. DOI: 10.1205/Fbp.05001 |
0.372 |
|
2006 |
Almansoori A, Shah N. Design and operation of a future hydrogen supply chain Chemical Engineering Research & Design. 84: 423-438. DOI: 10.1205/Cherd.05193 |
0.373 |
|
2006 |
Stefansson H, Jensson P, Shah N. Integration of multi-scale planning and scheduling problems Computer-Aided Chemical Engineering. 21: 2111-2116. DOI: 10.1016/S1570-7946(06)80360-3 |
0.359 |
|
2006 |
See-Toh YC, Walsh SPK, Shah N. Multi-period capacitated lot sizing with variable batch sizes Computer-Aided Chemical Engineering. 21: 1949-1954. DOI: 10.1016/S1570-7946(06)80333-0 |
0.38 |
|
2006 |
Hung WY, Samsatli NJ, Shah N. Object-oriented dynamic supply-chain modelling incorporated with production scheduling European Journal of Operational Research. 169: 1064-1076. DOI: 10.1016/J.Ejor.2005.02.009 |
0.344 |
|
2006 |
Stefansson H, Shah N, Jensson P. Multiscale planning and scheduling in the secondary pharmaceutical industry Aiche Journal. 52: 4133-4149. DOI: 10.1002/Aic.10989 |
0.361 |
|
2005 |
Gjerdrum J, Samsatli NJ, Shah N, Papageorgiou LG. Optimisation of policy parameters in supply chain applications International Journal of Logistics-Research and Applications. 8: 15-36. DOI: 10.1080/13675560500092184 |
0.362 |
|
2005 |
Sousa RT, Shah N, Papageorgiou LG. Global supply chain network optimisation for pharmaceuticals Computer-Aided Chemical Engineering. 20: 1189-1194. DOI: 10.1016/S1570-7946(05)80040-9 |
0.35 |
|
2005 |
Stefansson H, Shah N. Multi-scale planning and scheduling in the pharmaceutical industry Computer-Aided Chemical Engineering. 20: 1003-1008. DOI: 10.1016/S1570-7946(05)80009-4 |
0.358 |
|
2005 |
Shah N. Process industry supply chains: Advances and challenges Computers and Chemical Engineering. 29: 1225-1235. DOI: 10.1016/S1570-7946(04)80088-9 |
0.35 |
|
2005 |
Roe B, Papageorgiou LG, Shah N. A hybrid MILP/CLP algorithm for multipurpose batch process scheduling Computers & Chemical Engineering. 29: 1277-1291. DOI: 10.1016/J.Compchemeng.2005.02.024 |
0.326 |
|
2004 |
Hung WY, Kucherenko SS, Samsatli NJ, Shah N. A flexible and generic approach to dynamic modelling of supply chains Journal of the Operational Research Society. 55: 801-813. DOI: 10.1057/Palgrave.Jors.2601740 |
0.346 |
|
2004 |
Roe B, Papageorgiou LG, Shah N. A hybrid formulation for multipurpose batch process scheduling Computer-Aided Chemical Engineering. 18: 985-990. DOI: 10.1016/S1570-7946(04)80230-X |
0.335 |
|
2004 |
Shah N. Pharmaceutical supply chains: Key issues and strategies for optimisation Computers and Chemical Engineering. 28: 929-941. DOI: 10.1016/J.Compchemeng.2003.09.022 |
0.381 |
|
2003 |
Gatica G, Papageorgiou LG, Shah N. Capacity Planning Under Uncertainty for the Pharmaceutical Industry Chemical Engineering Research & Design. 81: 665-678. DOI: 10.1205/026387603322150516 |
0.374 |
|
2003 |
Roe B, Shah N, Papageorgiou LG. A hybrid CLP and MILP approach to batch process scheduling Computer-Aided Chemical Engineering. 15: 582-587. DOI: 10.1016/S1570-7946(03)80608-9 |
0.331 |
|
2002 |
Feord D, Jakeman C, Shah N. Modelling Multi-site Production to Optimise Customer Orders Computer-Aided Chemical Engineering. 10: 661-666. DOI: 10.1016/S1570-7946(02)80138-9 |
0.346 |
|
2002 |
Gjerdrum J, Shah N, Papageorgiou LG. Fair transfer price and inventory holding policies in two-enterprise supply chains European Journal of Operational Research. 143: 582-599. DOI: 10.1016/S0377-2217(01)00349-6 |
0.388 |
|
2002 |
Huang H, Adjiman CS, Shah N. Quantitative framework for reliable safety analysis Aiche Journal. 48: 78-96. DOI: 10.1002/Aic.690480110 |
0.335 |
|
2001 |
Gjerdrum J, Shah N, Papageorgiou LG. A combined optimization and agent-based approach to supply chain modelling and performance assessment Production Planning & Control. 12: 81-88. DOI: 10.1080/09537280150204013 |
0.372 |
|
2001 |
Papageorgiou LG, Rotstein GE, Shah N. Strategic Supply Chain Optimization for the Pharmaceutical Industries Industrial & Engineering Chemistry Research. 40: 275-286. DOI: 10.1021/Ie990870T |
0.382 |
|
2001 |
Tsiakis P, Shah N, Pantelides CC. Design of Multi-echelon Supply Chain Networks under Demand Uncertainty Industrial & Engineering Chemistry Research. 40: 3585-3604. DOI: 10.1021/Ie0100030 |
0.381 |
|
2001 |
Gjerdrum J, Shah N, Papageorgiou LG. Transfer Prices for Multienterprise Supply Chain Optimization Industrial & Engineering Chemistry Research. 40: 1650-1660. DOI: 10.1021/Ie000668M |
0.315 |
|
2001 |
Gatica G, Shah N, Papageorgiou LG. Capacity planning under clinical trials uncertainty for the pharmaceutical industry Computer-Aided Chemical Engineering. 9: 865-870. DOI: 10.1016/S1570-7946(01)80138-3 |
0.404 |
|
2001 |
Samsatli NJ, Sharif M, Shah N, Papageorgiou LG. Operational envelopes for batch processes Aiche Journal. 47: 2277-2288. DOI: 10.1002/Aic.690471013 |
0.34 |
|
2000 |
Das BP, Shah N, Dimitriadis AD. Short term product distribution plan for multisite batch production, warehousing and distribution operations: solutions through Supply-Demand Network and Resource-Task Network optimisation approaches Computer-Aided Chemical Engineering. 8: 1171-1176. DOI: 10.1016/S1570-7946(00)80197-2 |
0.361 |
|
2000 |
Huang H, Adjiman CS, Shah N. Model-based safety verification under uncertainty Computer-Aided Chemical Engineering. 8: 793-798. DOI: 10.1016/S1570-7946(00)80134-0 |
0.304 |
|
2000 |
Sharif M, Samsatli NJ, Shah N. Abstract design in the development of pharmaceutical processes Computer-Aided Chemical Engineering. 8: 685-690. DOI: 10.1016/S1570-7946(00)80116-9 |
0.347 |
|
2000 |
Kong M, Shah N. Integer-programming based algorithms and computational performance for terminal-drop zone assignment problems Computer-Aided Chemical Engineering. 8: 613-618. DOI: 10.1016/S1570-7946(00)80104-2 |
0.35 |
|
2000 |
Das BP, Rickard JG, Shah N, Macchietto S. An investigation on integration of aggregate production planning, master production scheduling and short-term production scheudling of batch process operations through a common data model Computers & Chemical Engineering. 24: 1625-1631. DOI: 10.1016/S0098-1354(00)80014-9 |
0.381 |
|
2000 |
Viswanathan S, Shah N, Venkatasubramanian V. A hybrid strategy for batch process hazards analysis Computers and Chemical Engineering. 24: 545-549. DOI: 10.1016/S0098-1354(00)00385-9 |
0.334 |
|
2000 |
Rickard JG, Colantonio MC, Macchietto S, Shah N. Integration in hierarchical structures for batch process operations Computers & Chemical Engineering. 24: 1159-1165. DOI: 10.1016/S0098-1354(00)00348-3 |
0.361 |
|
1999 |
Samsatli NJ, Papageorgiou LG, Shah N. Batch process design and operation using operational envelopes Computers & Chemical Engineering. 23. DOI: 10.1016/S0098-1354(99)80218-X |
0.332 |
|
1999 |
Rotstein GE, Papageorgiou LG, Shah N, Murphy DC, Mustafa R. A Product Portfolio Approach in the Pharmaceutical Industry Computers and Chemical Engineering. 23. DOI: 10.1016/S0098-1354(99)80217-8 |
0.321 |
|
1999 |
Rickard JG, Macchietto S, Shah N. Integrated decision support in flexible multipurpose plants Computers & Chemical Engineering. 23. DOI: 10.1016/S0098-1354(99)80135-5 |
0.343 |
|
1999 |
Avraam MP, Shah N, Pantelides CC. A decomposition algorithm for the optimisation of hybrid dynamic processes Computers and Chemical Engineering. 23. DOI: 10.1016/S0098-1354(99)80111-2 |
0.58 |
|
1999 |
Sharif M, Shah N, Pantelides CC. Design of integrated batch processes with discrete and continuous equipment sizes Computers and Chemical Engineering. 23. DOI: 10.1016/S0098-1354(99)80030-1 |
0.558 |
|
1998 |
Das BP, Shah N, Chung PWH. Off-line scheduling a simple chemical batch process production plan using the ILOG scheduler Computers & Chemical Engineering. 22: 947-950. DOI: 10.1016/S0098-1354(98)00187-2 |
0.375 |
|
1998 |
Dimitriadis AD, Shah N, Pantelides CC. Efficient modelling of partial resource equivalence in resource-task networks Computers & Chemical Engineering. 22: 563-570. DOI: 10.1016/S0098-1354(98)00101-X |
0.372 |
|
1998 |
Yee KL, Shah N. Improving the efficiency of discrete time scheduling formulation Computers & Chemical Engineering. 22: 403-410. DOI: 10.1016/S0098-1354(98)00081-7 |
0.35 |
|
1998 |
Rotstein G, Shah N, Sorensen E, Macchietto S, Weiss RA. Analysis and design of paint manufacturing processes Computers & Chemical Engineering. 22: 279-282. DOI: 10.1016/S0098-1354(98)00065-9 |
0.379 |
|
1998 |
Uesbeck F, Samsatli NJ, Papageorgiou LG, Shah N. Robust optimal fermentation operating policies Computers & Chemical Engineering. 22: 167-174. DOI: 10.1016/S0098-1354(98)00051-9 |
0.406 |
|
1998 |
Sharif M, Shah N, Pantelides CC. On the design of multicomponent batch distillation columns Computers & Chemical Engineering. 22: 69-76. DOI: 10.1016/S0098-1354(98)00040-4 |
0.361 |
|
1998 |
Samsatli NJ, Papageorgiou LG, Shah N. Robustness metrics for dynamic optimization models under parameter uncertainty Aiche Journal. 44: 1993-2006. DOI: 10.1002/Aic.690440907 |
0.358 |
|
1998 |
Srinivasan R, Dimitriadis VD, Shah N, Venkatasubramanian V. Safety verification using a hybrid knowledge-based mathematical programming framework Aiche Journal. 44: 361-371. DOI: 10.1002/Aic.690440213 |
0.344 |
|
1997 |
Yee KL, Shah N. Scheduling of multistage fast-moving consumer goods plants Journal of the Operational Research Society. 48: 1201-1214. DOI: 10.1057/Palgrave.Jors.2600482 |
0.345 |
|
1997 |
Pantelides CC, Realff MJ, Shah N. Short-term scheduling of pipeless batch plants Chemical Engineering Research & Design. 75: 431-444. DOI: 10.1016/S0263-8762(97)80013-5 |
0.37 |
|
1997 |
Dimitriadis AD, Shah N, Pantelides CC. RTN-based rolling horizon algorithms for medium term scheduling of multipurpose plants Computers & Chemical Engineering. 21. DOI: 10.1016/S0098-1354(97)87643-0 |
0.349 |
|
1997 |
Srinivasan R, Dimitriadis VD, Shah N, Venkatasubramanian V. Integrating knowledge-based and mathematical programming approaches for process safety verification Computers & Chemical Engineering. 21. DOI: 10.1016/S0098-1354(97)87617-X |
0.342 |
|
1997 |
Rotstein GE, Sorensen S, Voudouris VT, Sorensen E, Sanchez A, Shah N, Macchietto S, Weiss RA. Process Concept Studio: An experiment in academic/industrial collaboration Computers & Chemical Engineering. 21. DOI: 10.1016/S0098-1354(97)87521-7 |
0.303 |
|
1997 |
Dimitriadis VD, Shah N, Pantelides CC. Modeling and safety verification of discrete/continuous processing systems Aiche Journal. 43: 1041-1059. DOI: 10.1002/Aic.690430418 |
0.373 |
|
1996 |
Samsatli NJ, Shah N. An Optimization Based Design Procedure for Biochemical Processes: Part II: Detailed Scheduling Food and Bioproducts Processing. 74: 232-242. DOI: 10.1205/096030896531235 |
0.35 |
|
1996 |
Samsatli NJ, Shah N. An Optimization Based Design Procedure for Biochemical Processes: Part I: Preliminary Design and Operation Food and Bioproducts Processing. 74: 221-231. DOI: 10.1205/096030896531226 |
0.331 |
|
1996 |
Wilkinson SJ, Cortier A, Shah N, Pantelides CC. Integrated production and distribution scheduling on a Europe-wide basis Computers & Chemical Engineering. 20. DOI: 10.1016/0098-1354(96)00220-7 |
0.381 |
|
1996 |
Meister B, Clark JMC, Shah N. Optimisation of oilfield exploitation under uncertainty Computers & Chemical Engineering. 20. DOI: 10.1016/0098-1354(96)00216-5 |
0.339 |
|
1996 |
Shah N, Liberis L, Izumoto E, Henson R. Integrated batch plant design : A polymer plant case study Computers & Chemical Engineering. 20. DOI: 10.1016/0098-1354(96)00213-X |
0.349 |
|
1996 |
Shah N. Mathematical programming techniques for crude oil scheduling Computers and Chemical Engineering. 20. DOI: 10.1016/0098-1354(96)00212-8 |
0.311 |
|
1996 |
Dimitriadis VD, Hackenberg J, Shah N, Pantelides CC. A case study in hybrid process safety verification Computers & Chemical Engineering. 20. DOI: 10.1016/0098-1354(96)00093-2 |
0.317 |
|
1996 |
Samsatli NJ, Shah N. Optimal integrated design of biochemical processes Computers & Chemical Engineering. 20. DOI: 10.1016/0098-1354(96)00063-4 |
0.365 |
|
1996 |
Boyadjiev C, Ivanov B, Vaklieva-Bancheva N, Pantelides CC, Shah N. Optimal energy integration in batch antibiotics manufacture Computers & Chemical Engineering. 20. DOI: 10.1016/0098-1354(96)00016-6 |
0.365 |
|
1996 |
Vaklieva-Bancheva N, Ivanov B, Shah N, Pantelides C. Heat exchanger network design for multipurpose batch plants Computers & Chemical Engineering. 20: 989-1001. DOI: 10.1016/0098-1354(95)00217-0 |
0.575 |
|
1996 |
Realff MJ, Shah N, Pantelides CC. Simultaneous design, layout and scheduling of pipeless batch plants Computers & Chemical Engineering. 20: 869-883. DOI: 10.1016/0098-1354(95)00181-6 |
0.336 |
|
1995 |
Dedopoulos IT, Shah N. Optimal Short-Term Scheduling of Maintenance and Production for Multipurpose Plants Industrial & Engineering Chemistry Research. 34: 192-201. DOI: 10.1021/Ie00040A019 |
0.344 |
|
1995 |
Shah N, Kuriyan K, Liberis L, Pantelides C, Papageorgiou L, Riminucci P. User interfaces for mathematical programming based multipurpose plant optimisation systems Computers & Chemical Engineering. 19: 765-772. DOI: 10.1016/0098-1354(95)87127-6 |
0.591 |
|
1995 |
Dedopoulos IT, Shah N. Preventive maintenance policy optimisation for multipurpose plant equipment Computers & Chemical Engineering. 19: 693-698. DOI: 10.1016/0098-1354(95)87116-0 |
0.342 |
|
1995 |
Wilkinson SJ, Shah N, Pantelides CC. Aggregate modelling of multipurpose plant operation Computers and Chemical Engineering. 19: 583-588. DOI: 10.1016/0098-1354(95)87098-9 |
0.571 |
|
1995 |
Charalambides MS, Shah N, Pantelides CC. Synthesis of batch reaction/distillation processes using detailed dynamic models Computers and Chemical Engineering. 19: 167-174. DOI: 10.1016/0098-1354(95)87033-4 |
0.572 |
|
1995 |
Samsatli NJ, Shah N. Optimal design of continuous sterilisation networks Computers & Chemical Engineering. 19: 95-100. DOI: 10.1016/0098-1354(95)87021-0 |
0.356 |
|
1994 |
Papageorgiou LG, Shah N, Pantelides CC. Optimal scheduling of heat-integrated multipurpose plants Industrial & Engineering Chemistry Research. 33: 3168-3186. DOI: 10.1021/Ie00036A036 |
0.335 |
|
1993 |
Kondili E, Shah N, Pantelides CC. Production planning for the rational use of energy in multiproduct continuous plants Computers & Chemical Engineering. 17. DOI: 10.1016/0098-1354(93)80217-B |
0.413 |
|
1993 |
Shah N, Pantelides CC, Sargent RWH. A general algorithm for short-term scheduling of batch operations-II. Computational issues Computers and Chemical Engineering. 17: 229-244. DOI: 10.1016/0098-1354(93)80016-G |
0.623 |
|
1993 |
Shah N, Pantelides CC, Sargent RWH. Optimal periodic scheduling of multipurpose batch plants Annals of Operations Research. 42: 193-228. DOI: 10.1007/Bf02023176 |
0.629 |
|
1992 |
Shah N, Pantelides CC. Design of multipurpose batch plants with uncertain production requirements Industrial & Engineering Chemistry Research. 31: 1325-1337. DOI: 10.1021/Ie00005A013 |
0.356 |
|
1992 |
Shah N, Pantelides C, Sargent R. The Design and Scheduling of Multipurpose Batch Plants Ifac Proceedings Volumes. 25: 203-208. DOI: 10.1016/S1474-6670(17)54032-X |
0.6 |
|
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