Environmental and Economic Water Management in Shale Gas Extraction

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Título: Environmental and Economic Water Management in Shale Gas Extraction
Autor/es: Caballero, José A. | Labarta, Juan A. | Quirante, Natalia | Carrero-Parreño, Alba | Grossmann, Ignacio E.
Grupo/s de investigación o GITE: Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Ingeniería Química | Universidad de Alicante. Instituto Universitario de Ingeniería de los Procesos Químicos
Palabras clave: Life cycle assessment (LCA) | Shale gas | Wastewater treatment | Thermal-based technology | Membrane distillation
Área/s de conocimiento: Ingeniería Química
Fecha de publicación: 24-feb-2020
Editor: MDPI
Cita bibliográfica: Caballero JA, Labarta JA, Quirante N, Carrero-Parreño A, Grossmann IE. Environmental and Economic Water Management in Shale Gas Extraction. Sustainability. 2020; 12(4):1686. doi:10.3390/su12041686
Resumen: This paper introduces a comprehensive study of the Life Cycle Impact Assessment (LCIA) of water management in shale gas exploitation. First, we present a comprehensive study of wastewater treatment in the shale gas extraction, including the most common technologies for the pretreatment and three different desalination technologies of recent interest: Single and Multiple-Effect Evaporation with Mechanical Vapor Recompression and Membrane Distillation. The analysis has been carried out through a generic Life Cycle Assessment (LCA) and the ReCiPe metric (at midpoint and endpoint levels), considering a wide range of environmental impacts. The results show that among these technologies Multiple-Effect Evaporation with Mechanical Vapor Recompression (MEE-MVR) is the most suitable technology for the wastewater treatment in shale gas extraction, taking into account its reduced environmental impact, the high water recovery compared to other alternatives as well as the lower cost of this technology. We also use a comprehensive water management model that includes previous results that takes the form of a new Mixed-Integer Linear Programming (MILP) bi-criterion optimization model to address the profit maximization and the minimization Life Cycle Impact Assessment (LCIA), based on its results we discuss the main tradeoffs between optimal operation from the economic and environmental points of view.
Patrocinador/es: This project has received funding from the Spanish «Ministerio de Economía, Industria y Competitividad» under the projects CTQ2016-77968-C3-1-P and CTQ2016-77968-C3-2-P (FEDER, UE).
URI: http://hdl.handle.net/10045/103412
ISSN: 2071-1050
DOI: 10.3390/su12041686
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Revisión científica: si
Versión del editor: https://doi.org/10.3390/su12041686
Aparece en las colecciones:INV - CONCEPT - Artículos de Revistas

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