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• Journal article
  Limleamthong P, Guillen-Gosalbez G, 2017,

  Rigorous analysis of Pareto fronts in sustainability studies based on bilevel optimization: Application to the redesign of the UK electricity mix

  , Journal of Cleaner Production, Vol: 164, Pages: 1602-1613, ISSN: 0959-6526

  Multi-objective optimization (MOO) is at present widely used in the design and planning of sustainable systems where economic, environmental and social aspects must be considered simultaneously. The solution of a multi-objective model is given by a set of Pareto optimal points that feature the property that they cannot be improved in one objective without necessarily worsening at least another one. Identifying the best Pareto solution from this set is challenging, particularly when many objectives and decision-makers are involved in the analysis. In this work, we propose the first rigorous method (to the authors’ knowledge) based on bilevel optimization to explore Pareto points that allows to: (i) identify in a systematic manner non-dominated solutions which are particularly appealing for decision-makers; (ii) quantify the distance between any (suboptimal) feasible point of a MOO model and its Pareto front (i.e. project suboptimal points onto the Pareto frontier); and (iii) establish improvement targets for suboptimal solutions of a MOO (through projection onto the Pareto front) that if attained would make them optimal. Overall, our method allows analysing Pareto fronts and selecting a final Pareto point to be implemented in practice without the need to define subjective weights in an explicit manner. We illustrate the capabilities of our approach through its application to the optimization of the UK electricity mix according to several economic, environmental and social indicators.

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• Journal article
  Limleamthong P, Gonzalez-Miquel M, Papadokonstantakis S, Papadopoulos AI, Seferlis P, Guillen-Gosalbez Get al., 2016,

  Multi-criteria screening of chemicals considering thermodynamic and life cycle assessment metrics via data envelopment analysis: application to CO2 capture

  , Green Chemistry, Vol: 18, Pages: 6468-6481, ISSN: 1463-9262

  With the growing trend of incorporating sustainability principles in the chemical industry, there is a clear need to develop decision-making tools to quantify and optimise the sustainability level of chemical products and processes. In this study, we propose a systematic approach based on Data Envelopment Analysis (DEA) for the multi-criteria screening of molecules according to techno-economic and environmental aspects. The main advantage of our method is that it does not require any articulation of preferences via subjective weighting of the assessment criteria. Furthermore, our approach identifies the most efficient chemicals (according to some sustainability criteria) and for the ones found to be inefficient it establishes in turn improvement targets that can be used to guide research efforts in green chemistry. Our method was applied to the screening of 125 amine-based solvents for CO2 capture considering 10 different performance indicators, which are relevant to technical, health, safety and environmental aspects, including CO2 solubility, molar volume, surface tension, heat capacity, viscosity, vapour pressure, mobility, fire & explosion, acute toxicity and Eco-indicator 99. Our approach eliminates 36% of the solvents (as they are found to be inefficient), identifies the main sources of inefficiency (e.g., properties displaying poor values that should be improved) and ranks the best chemicals according to an objective criterion that does not rely on weights. Overall, our proposed DEA-based framework offers insightful guidance to make chemicals more sustainable.

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• Journal article
  Cristobal J, Limleamthong P, Manfredi S, Guillen-Gosalbez Get al., 2016,

  Methodology for combined use of data envelopment analysis and life cycle assessment applied to food waste management

  , JOURNAL OF CLEANER PRODUCTION, Vol: 135, Pages: 158-168, ISSN: 0959-6526
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• Journal article
  Cadavid-Giraldo N, Velez-Gallego MC, Guillen-Gosalbez G, 2016,

  Technology Updating Decisions for Improving the Environmental Performance of an Operating Supply Chain: A Multiobjective Optimization Model for the Cement Industry

  , INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, Vol: 55, Pages: 12287-12300, ISSN: 0888-5885
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• Journal article
  Tulus V, Boer D, Cabeza LF, Jimenez L, Guillen-Gosalbez Get al., 2016,

  Enhanced thermal energy supply via central solar heating plants with seasonal storage: A multi-objective optimization approach

  , APPLIED ENERGY, Vol: 181, Pages: 549-561, ISSN: 0306-2619
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• Journal article
  Carreras J, Pozo C, Boer D, Guillen-Gosalbez G, Caballero JA, Ruiz-Femenia R, Jimenez Let al., 2016,

  Systematic approach for the life cycle multi-objective optimization of buildings combining objective reduction and surrogate modeling

  , ENERGY AND BUILDINGS, Vol: 130, Pages: 506-518, ISSN: 0378-7788
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• Journal article
  Pascual-Gonzalez J, Jimenez-Esteller L, Guillen-Gosalbez G, Siirola JJ, Grossmann IEet al., 2016,

  Macro-Economic Multi-Objective Input-Output Model for Minimizing CO2 Emissions: Application to the US Economy

  , AICHE JOURNAL, Vol: 62, Pages: 3639-3656, ISSN: 0001-1541
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• Journal article
  Galan-Martin A, Vaskan P, Anton A, Jimenez Esteller L, Guillen-Gosalbez Get al., 2016,

  Multi-objective optimization of rainfed and irrigated agricultural areas considering production and environmental criteria: a case study of wheat production in Spain

  , JOURNAL OF CLEANER PRODUCTION, Vol: 140, Pages: 816-830, ISSN: 0959-6526
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• Journal article
  Ezequiel Santibanez-Aguilar J, Guillen-Gosalbez G, Morales-Rodriguez R, Jimenez-Esteller L, Jaime Castro-Montoya A, Maria Ponce-Ortega Jet al., 2016,

  Financial Risk Assessment and Optimal Planning of Biofuels Supply Chains under Uncertainty

  , BioEnergy Research, Vol: 9, Pages: 1053-1069, ISSN: 1939-1234
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• Journal article
  Guillen Gosalbez G, Galán-Martín A, Stamford L, Azapagic Aet al., 2016,

  Enhanced data envelopment analysis for sustainability assessment: a novel methodology and application to electricity technologies

  , Computers & Chemical Engineering, Vol: 90, Pages: 188-200, ISSN: 0098-1354

  Quantifying the level of sustainability attained by a system is a challenging task due to the need to consider a wide range of economic, environmental and social aspects simultaneously. This work explores the application of data envelopment analysis (DEA) to evaluate the sustainability ‘efficiency’ of a system. We propose an enhanced DEA methodology that uses the concept of ‘order of efficiency’ to compare and rank alternatives according to the extent to which they adhere to sustainability principles. The capabilities of the proposed approach are illustrated through a sustainability assessment of different technologies for electricity generation in United Kingdom. In addition to screening the alternatives based on sustainability principles, enhanced DEA provides improvement targets for the least sustainable alternatives that, if achieved, would make them more sustainable. The enhanced DEA shows clearly the ultimate distance to sustainability, helping industry and policy makers to improve the efficiency of technologies, products and policies.

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• Journal article
  Carreras J, Boer D, Cabeza LF, Jimenez L, Guillen-Gosalbez Get al., 2016,

  Eco-costs evaluation for the optimal design of buildings with lower environmental impact

  , ENERGY AND BUILDINGS, Vol: 119, Pages: 189-199, ISSN: 0378-7788
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• Journal article
  Ewertowska A, Galan-Martin A, Guillen-Gosalbez G, Gavalda J, Jimenez Let al., 2016,

  Assessment of the environmental efficiency of the electricity mix of the top European economies via data envelopment analysis

  , JOURNAL OF CLEANER PRODUCTION, Vol: 116, Pages: 13-22, ISSN: 0959-6526
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  • Citations: 49
• Journal article
  Fernando Lira-Barragan L, Maria Ponce-Ortega J, Guillen-Gosalbez G, El-Halwagi MMet al., 2016,

  Optimal Water Management under Uncertainty for Shale Gas Production

  , INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, Vol: 55, Pages: 1322-1335, ISSN: 0888-5885
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  • Citations: 75
• Journal article
  Copado-Mendez PJ, Pozo C, Guillen-Gosalbez G, Jimenez Let al., 2015,

  Enhancing the is an element of-constraint method through the use of objective reduction and random sequences: Application to environmental problems

  , COMPUTERS & CHEMICAL ENGINEERING, Vol: 87, Pages: 36-48, ISSN: 0098-1354
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• Journal article
  Guillen-Gosalbez G, Miro A, Alves R, Sorribas A, Jimenez Let al., 2013,

  Identification of regulatory structure and kinetic parameters of biochemical networks via mixed-integer dynamic optimization

  , BMC SYSTEMS BIOLOGY, Vol: 7, ISSN: 1752-0509
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  • Citations: 19
• Journal article
  Pozo C, Guillen-Gosalbez G, Sorribas A, Jimenez Let al., 2012,

  Identifying the Preferred Subset of Enzymatic Profiles in Nonlinear Kinetic Metabolic Models via Multiobjective Global Optimization and Pareto Filters

  , PLOS ONE, Vol: 7, ISSN: 1932-6203
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  • Citations: 12
• Journal article
  Miro A, Pozo C, Guillen-Gosalbez G, Egea JA, Jimenez Let al., 2012,

  Deterministic global optimization algorithm based on outer approximation for the parameter estimation of nonlinear dynamic biological systems

  , BMC BIOINFORMATICS, Vol: 13, ISSN: 1471-2105
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  • Citations: 25
• Journal article
  Pozo C, Marin-Sanguino A, Alves R, Guillen-Gosalbez G, Jimenez L, Sorribas Aet al., 2011,

  Steady-state global optimization of metabolic non-linear dynamic models through recasting into power-law canonical models

  , BMC SYSTEMS BIOLOGY, Vol: 5
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  • Citations: 17
• Journal article
  Sorribas A, Pozo C, Vilaprinyo E, Guillen-Gosalbez G, Jimenez L, Alves Ret al., 2010,

  Optimization and evolution in metabolic pathways: Global optimization techniques in Generalized Mass Action models

  , JOURNAL OF BIOTECHNOLOGY, Vol: 149, Pages: 141-153, ISSN: 0168-1656
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  • Citations: 25
• Journal article
  Guillen-Gosalbez G, Sorribas A, 2009,

  Identifying quantitative operation principles in metabolic pathways: a systematic method for searching feasible enzyme activity patterns leading to cellular adaptive responses

  , BMC BIOINFORMATICS, Vol: 10, ISSN: 1471-2105
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  • Citations: 27

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