Literature DB >> 28728971

A multi-objective optimization approach for the selection of working fluids of geothermal facilities: Economic, environmental and social aspects.

Juan Martínez-Gomez1, Javier Peña-Lamas2, Mariano Martín3, José María Ponce-Ortega1.   

Abstract

The selection of the working fluid for Organic Rankine Cycles has traditionally been addressed from systematic heuristic methods, which perform a characterization and prior selection considering mainly one objective, thus avoiding a selection considering simultaneously the objectives related to sustainability and safety. The objective of this work is to propose a methodology for the optimal selection of the working fluid for Organic Rankine Cycles. The model is presented as a multi-objective approach, which simultaneously considers the economic, environmental and safety aspects. The economic objective function considers the profit obtained by selling the energy produced. Safety was evaluated in terms of individual risk for each of the components of the Organic Rankine Cycles and it was formulated as a function of the operating conditions and hazardous properties of each working fluid. The environmental function is based on carbon dioxide emissions, considering carbon dioxide mitigation, emission due to the use of cooling water as well emissions due material release. The methodology was applied to the case of geothermal facilities to select the optimal working fluid although it can be extended to waste heat recovery. The results show that the hydrocarbons represent better solutions, thus among a list of 24 working fluids, toluene is selected as the best fluid.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Economic and environmental objectives; Geothermal facilities; Multi-objective optimization; Optimal selection; Safety

Mesh:

Substances:

Year:  2017        PMID: 28728971     DOI: 10.1016/j.jenvman.2017.07.001

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  Multi-Objective Optimization of the Basic and Regenerative ORC Integrated with Working Fluid Selection.

Authors:  Yuhao Zhou; Jiongming Ruan; Guotong Hong; Zheng Miao
Journal:  Entropy (Basel)       Date:  2022-06-29       Impact factor: 2.738

2.  A preface to the special issue of optimization and engineering dedicated to SDEWES 2020 conferences.

Authors:  Marian Trafczyński; Krzysztof Urbaniec; Hrvoje Mikulčič; Neven Duić
Journal:  Optim Eng       Date:  2021-07-31       Impact factor: 2.760

  2 in total

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