Imperial College London
Alternate

Professor Nilay Shah OBE FREng

Faculty of Engineering, Department of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6621n.shah

 
 
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Assistant

 

Miss Jessica Baldock +44 (0)20 7594 5699

 
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Location

 

ACEX 522ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

677 results found

Sadhukhan J, Zhao Y, Shah N, Brandon NPet al., 2010, Performance analysis of integrated biomass gasification fuel cell (BGFC) and biomass gasification combined cycle (BGCC) systems, Chemical Engineering Science, Vol: 65, Pages: 1942-1954

Biomass gasification processes are more commonly integrated to gas turbine based combined heat and power (CHP) generation systems. However, efficiency can be greatly enhanced by the use of more advanced power generation technology such as solid oxide fuel cells (SOFC). The key objective of this work is to develop systematic site-wide process integration strategies, based on detailed process simulation in Aspen Plus, in view to improve heat recovery including waste heat, energy efficiency and cleaner operation, of biomass gasification fuel cell (BGFC) systems. The BGFC system considers integration of the exhaust gas as a source of steam and unreacted fuel from the SOFC to the steam gasifier, utilising biomass volatilised gases and tars, which is separately carried out from the combustion of the remaining char of the biomass in the presence of depleted air from the SOFC. The high grade process heat is utilised into direct heating of the process streams, e.g. heating of the syngas feed to the SOFC after cooling, condensation and ultra-cleaning with the Rectisol® process, using the hot product gas from the steam gasifier and heating of air to the SOFC using exhaust gas from the char combustor. The medium to low grade process heat is extracted into excess steam and hot water generation from the BGFC site. This study presents a comprehensive comparison of energetic and emission performances between BGFC and biomass gasification combined cycle (BGCC) systems, based on a 4th generation biomass waste resource, straws. The former integrated system provides as much as twice the power, than the latter. Furthermore, the performance of the integrated BGFC system is thoroughly analysed for a range of power generations, 100–997 kW. Increasing power generation from a BGFC system decreases its power generation efficiency (69–63%), while increasing CHP generation efficiency (80–85%).

Journal article

Juarez-Romero D, Shah N, Phego-Solorzano F, Hernandez JA, Siqueiros J, Huicochea Aet al., 2009, Heat and mass transfer in a horizontal pipe absorber for a heat transformer, 5th EuroMed Conference on Desalination for Clean Water and Energy Cooperation among Mediterranean Countries of Europe and the MENA Region, Publisher: DESALINATION PUBL, Pages: 238-244, ISSN: 1944-3994

Conference paper

Sadhukhan J, Ng KS, Shah N, Simons HJet al., 2009, Heat Integration Strategy for Economic Production of Combined Heat and Power from Biomass Waste, ENERGY & FUELS, Vol: 23, Pages: 5106-5120, ISSN: 0887-0624

Journal article

Almansoori A, Shah N, 2009, Design and operation of a future hydrogen supply chain: Multi-period model, INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, Vol: 34, Pages: 7883-7897, ISSN: 0360-3199

Journal article

Zamboni A, Shah N, Bezzo F, 2009, Spatially Explicit Static Model for the Strategic Design of Future Bioethanol Production Systems. 1. Cost Minimization, ENERGY & FUELS, Vol: 23, Pages: 5121-5133, ISSN: 0887-0624

Journal article

Zamboni A, Bezzo F, Shah N, 2009, Spatially Explicit Static Model for the Strategic Design of Future Bioethanol Production Systems. 2. Multi-Objective Environmental Optimization, ENERGY & FUELS, Vol: 23, Pages: 5134-5143, ISSN: 0887-0624

Journal article

Acha S, Green TC, Shah N, 2009, Impacts of plug-in hybrid vehicles and combined heat and power technologies on electric and gas distribution network losses, 2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE), Publisher: IEEE, Pages: 1-7

Distribution network operators (DNOs) require strategies that can offset the tradeoffs new embedded technologies have on their assets. This paper employs modelling to show that through control device manipulation, gas and electric (G&E) network operators can influence savings in energy losses under the presence of plug-in hybrid vehicles (PHEVs) and combined heat and power technologies (CHPs). An integrated gas and electric optimal power flow (OPF) tool is introduced to undertake various case studies. The OPF tool evaluates the technical impacts experienced in the networks when DNOs apply a "plug and forget" operation strategy and then compares the results against a "loss minimisation" strategy. Results show the benefits in applying different strategies are more considerable in electric networks than in gas networks. The study corroborates that an integrated G&E analysis offers a fresh perspective for stakeholders in evaluating energy service networks performance under different operation strategies.

Conference paper

Hosseini SA, Shah N, 2009, Multiscale modelling of biomass pretreatment for biofuels production, CHEMICAL ENGINEERING RESEARCH & DESIGN, Vol: 87, Pages: 1251-1260, ISSN: 0263-8762

Journal article

Slade R, Bauen A, Shah N, 2009, The greenhouse gas emissions performance of cellulosic ethanol supply chains in Europe, BIOTECHNOLOGY FOR BIOFUELS, Vol: 2

Journal article

Kucherenko S, Rodriguez-Fernandez M, Pantelides C, Shah Net al., 2009, Monte Carlo evaluation of derivative-based global sensitivity measures, 5th International Conference on Sensitivity Analysis of Model Output (SAMO 2007), Publisher: ELSEVIER SCI LTD, Pages: 1135-1148, ISSN: 0951-8320

Conference paper

Hosseini SA, Shah N, 2009, Multiscale modelling of hydrothermal biomass pretreatment for chip size optimization, BIORESOURCE TECHNOLOGY, Vol: 100, Pages: 2621-2628, ISSN: 0960-8524

Journal article

Zhao Y, Shah N, Brandon NP, 2009, Comparison of Two Novel Optimization Strategies for Solid Oxide Fuel Cell-Gas Turbine Hybrid Systems, Third European Fuel Cell Technology & Applications Conference - Piero Lunghi Conference

Conference paper

Stefansson H, Jensson P, Shah N, 2009, Procedure for reducing the risk of delayed deliveries in make-to-order production, PRODUCTION PLANNING & CONTROL, Vol: 20, Pages: 332-342, ISSN: 0953-7287

Journal article

Feil B, Kucherenko S, Shah N, 2009, Comparison of Monte Carlo and Quasi Monte Carlo Sampling Methods in High Dimensional Model Representation, 1st International Conference on Advances in System Simulation, Publisher: IEEE, Pages: 12-+

Conference paper

Zamboni A, Bezzo F, Shah N, 2009, Supply Chain Optimization for Bioethanol Production System in Northern Italy: Environmentally Conscious Strategic Design, 10th International Symposium on Process Systems Engineering, Publisher: ELSEVIER SCIENCE BV, Pages: 2037-2042, ISSN: 1570-7946

Conference paper

Slade R, Shah N, Bauen A, 2009, The commercial performance of cellulosic ethanol supply-chains in Europe, Biotechnology for Biofuels, Vol: 2, ISSN: 1754-6834

BackgroundThe production of fuel-grade ethanol from lignocellulosic biomass resources has the potential to increase biofuel production capacity whilst minimising the negative environmental impacts. These benefits will only be realised if lignocellulosic ethanol production can compete on price with conventional fossil fuels and if it can be produced commercially at scale. This paper focuses on lignocellulosic ethanol production in Europe. The hypothesis is that the eventual cost of production will be determined not only by the performance of the conversion process but by the performance of the entire supply-chain from feedstock production to consumption. To test this, a model for supply-chain cost comparison is developed, the components of representative ethanol supply-chains are described, the factors that are most important in determining the cost and profitability of ethanol production are identified, and a detailed sensitivity analysis is conducted.ResultsThe most important cost determinants are the cost of feedstocks, primarily determined by location and existing markets, and the value obtained for ethanol, primarily determined by the oil price and policy incentives. Both of these factors are highly uncertain. The best performing chains (ethanol produced from softwood and sold as a low percentage blend with gasoline) could ultimately be cost competitive with gasoline without requiring subsidy, but production from straw would generally be less competitive.ConclusionSupply-chain design will play a critical role in determining commercial viability. The importance of feedstock supply highlights the need for location-specific assessments of feedstock availability and price. Similarly, the role of subsidies and policy incentives in creating and sustaining the ethanol market highlights the importance of political engagement and the need to include political risks in investment appraisal. For the supply-chains described here, and with the cost and market parameters sele

Journal article

Keirstead J, Samsatli N, Shah N, 2009, SynCity: an integrated tool kit for urban energy systems modelling, Urban Research Symposium

Conference paper

Patel MP, Shah N, Ashe R, 2009, Modelling and Control of the Variable Channel Reactor, 10th International Symposium on Process Systems Engineering, Publisher: ELSEVIER SCIENCE BV, Pages: 1263-1268, ISSN: 1570-7946

Conference paper

Keirstead J, Samsatli N, Pantaleo AM, Shah Net al., 2009, Evaluating integrated urban biomass strategies for a UK eco-town, European Biomass Conference

Conference paper

Sousa R, Shah N, Papageorgiou LG, 2008, Supply chain design and multilevel planning - An industrial case, COMPUTERS & CHEMICAL ENGINEERING, Vol: 32, Pages: 2643-2663, ISSN: 0098-1354

Journal article

Dunnett AJ, Adjiman CS, Shah N, 2008, A spatially explicit whole-system model of the lignocellulosic bioethanol supply chain: an assessment of decentralised processing potential, BIOTECHNOLOGY FOR BIOFUELS, Vol: 1

Journal article

Shah N, 2008, Production Scheduling, Vol: 2, Pages: 481-516

Journal article

Al-Ameri TA, Shah N, Papageorgiou LG, 2008, Optimization of vendor-managed inventory systems in a rolling horizon framework, COMPUTERS & INDUSTRIAL ENGINEERING, Vol: 54, Pages: 1019-1047, ISSN: 0360-8352

Journal article

Dunnett A, Adjiman C, Shah N, 2007, Biomass to heat supply chains applications of process optimization, PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, Vol: 85, Pages: 419-429, ISSN: 0957-5820

Journal article

Tsang KH, Samsatli NJ, Shah N, 2007, Capacity investment planning for multiple vaccines under uncertainty 2: Financial risk analysis, FOOD AND BIOPRODUCTS PROCESSING, Vol: 85, Pages: 129-140, ISSN: 0960-3085

Journal article

Tsang KH, Samsatli NI, Shah N, 2007, Capacity investment planning for multiple vaccines under uncertainty 1: Capacity planning., FOOD AND BIOPRODUCTS PROCESSING, Vol: 85, Pages: 120-128, ISSN: 0960-3085

Journal article

Meepetchdee Y, Shah N, 2007, Logistical network design with robustness and complexity considerations, International Journal of Physical Distribution and Logistics Management, Vol: 37, Pages: 201-222, ISSN: 0960-0035

Purpose - This paper aims to propose a logistical network design framework with robustness and complexity considerations. Design/methodology/approach - The paper defines robustness, complexity, and normalised efficiency of a logistical network. A mathematical model is then constructed based on the conceptual framework and applied to a hypothetical case study with varying robustness requirements. The mathematical model is formulated as an Mixed-Integer Linear Programming problem. Furthermore, the paper introduces a graph-theoretic view of the logistical network and presents its topological properties such as average path length, clustering coefficient, and degree distribution. Findings - The results show that logistical network configurations can be obtained with desirable robustness levels whilst minimising cost. The relationships of robustness versus normalised efficiency and complexity are also presented. The results show that relationships between logistical network topological properties and robustness exist, as in other real world natural and man-made complex networks. Practical implications - Logistical network design is one of the earliest strategic decisions in supply chain management that supply chain managers have to make. Practitioners and researchers typically focus on optimising efficiency and/or responsiveness of logistical networks. It is argued that logistical network designers should also consider robustness and complexity as they are important characteristics of logistical network functionality. The logistical network design frame work successfully incorporates robustness and complexity into design considerations. Originality/value - This paper newly introduces other important performance measures, robustness and complexity, into the logistical network design objective. The design framework is highly relevant and adds value to logistical network designers and managers. © Emerald Group Publishing Limited.

Journal article

Dunnett AJ, Shah N, 2007, Prospects for bioenergy, JOURNAL OF BIOBASED MATERIALS AND BIOENERGY, Vol: 1, Pages: 1-18, ISSN: 1556-6560

Journal article

Hall H, Shah N, 2007, Boost your career - get chartered, TCE, Pages: 57-57, ISSN: 0302-0797

Journal article

Stefansson H, Shah N, Jennsson P, 2007, Multiscale planning and scheduling in the secondary pharmaceutical industry (vol 52, pg 4133, 2006), AICHE JOURNAL, Vol: 53, Pages: 540-540, ISSN: 0001-1541

Journal article

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