Multi-Objective Optimization of Renewable Energy-Driven Desalination Systems
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Title: | Multi-Objective Optimization of Renewable Energy-Driven Desalination Systems |
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Authors: | Onishi, Viviani C. | Ruiz-Femenia, Rubén | Salcedo Díaz, Raquel | Carrero-Parreño, Alba | Labarta, Juan A. | Caballero, José A. |
Research Group/s: | Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT) | Estudios de Transferencia de Materia y Control de Calidad de Aguas (ETMyCCA) |
Center, Department or Service: | Universidad de Alicante. Departamento de Ingeniería Química |
Keywords: | Multi-objective | Optimization | Zero-liquid discharge | ZLD | Solar energy | Rankine cycle | Life cycle assessment | LCA |
Knowledge Area: | Ingeniería Química |
Date Created: | 2-Sep-2017 |
Issue Date: | 2-Oct-2017 |
Publisher: | Elsevier |
Citation: | Computer Aided Chemical Engineering. 2017, 40: 499-504. doi:10.1016/B978-0-444-63965-3.50085-4 |
Abstract: | Environmental impacts related to increasing greenhouse gas emissions and depletion of fossil-fuel reserves and water resources are major global concerns. In this work, we introduce a new multi-objective optimization model for simultaneous synthesis of zero-emission desalination plants driven by renewable energy. The system is particularly developed for zero-liquid discharge (ZLD) desalination of high-salinity shale gas wastewater, aiming to enhance economic and environmental system performance. The mathematical model is based on a multistage superstructure, which integrates a solar assisted Rankine cycle to a multiple-effect evaporation with mechanical vapor recompression (MEE-MVR) plant. For achieving the goal of more sustainable ZLD process, we specify the discharge brine salinity near to salt saturation conditions. The model is formulated as a multi-objective multiperiod non-linear programming (NLP) problem. The model is implemented in GAMS and solved via epsilon-constraint method, through the minimization of total annualized cost and environmental impacts. The economic objective function accounts for capital cost of investment and operational expenses, while environmental criteria are quantified by the life cycle assessment (LCA)-based ReCiPe methodology. A case study is performed to demonstrate the capabilities of the developed model. The obtained set of trade-off Pareto-optimal solutions reveals that integration of renewable energy generation to ZLD desalination plants can lead to significant cost and environmental savings for shale gas industry. |
Description: | 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27), Barcelona, 1st-5th October, 2017. |
Sponsor: | European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No. 640979. |
URI: | http://hdl.handle.net/10045/70021 |
ISBN: | 978-0-444-64078-9 |
ISSN: | 1570-7946 |
DOI: | 10.1016/B978-0-444-63965-3.50085-4 |
Language: | eng |
Type: | info:eu-repo/semantics/conferenceObject |
Rights: | Licencia Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 |
Peer Review: | si |
Publisher version: | https://doi.org/10.1016/B978-0-444-63965-3.50085-4 |
Appears in Collections: | INV - CONCEPT - Comunicaciones a Congresos, Conferencias, etc. Research funded by the EU INV - ETMyCCA - Comunicaciones a Congresos, Conferencias, etc. |
Files in This Item:
File | Description | Size | Format | |
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Poster_ESCAPE27_3076_MOsolar.pdf | Póster | 1,44 MB | Adobe PDF | Open Preview |
3076_preprint_ESCAPE27_MO_MEE_ER.pdf | Preprint (acceso abierto) | 258,53 kB | Adobe PDF | Open Preview |
3076_final_ESCAPE27_MO_MEE_ER.pdf | Versión final (acceso restringido) | 621,7 kB | Adobe PDF | Open Request a copy |
This item is licensed under a Creative Commons License