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Site selection and system sizing of desalination plants powered with renewable energy sources based on a web-GIS platform

Eftichios Koutroulis (School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece)
George Petrakis (Technical University of Crete, Chania, Greece)
Vicky Agou (Technical University of Crete, Chania, Greece)
Athanassios Malisovas (Technical University of Crete, Chania, Greece)
Dionissios Hristopulos (Technical University of Crete, Chania, Greece)
Panagiotis Partsinevelos (Technical University of Crete, Chania, Greece)
Achilleas Tripolitsiotis (Space Geomatica P.C, Chania, Greece)
Nabila Halouani (University of Tunis El Manar, Tunis, Tunisia)
Pierre Ailliot (University of Brest, Brest, France)
Marrie Boutigny (University of Brest, Brest, France)
Valerie Monbet (University Rennes 1, Rennes, France)
Denis Allard (Biostatistics and Spatial Processes (BioSP), INRA PACA, Avignon, France)
Anne Cuzol (Université de Bretagne Sud, Vannes, France)
Denia Kolokotsa (Technical University of Crete, Chania, Greece)
Emmanouil Varouchakis (Technical University of Crete, Chania, Greece)
Konstantinos Kokolakis (Space Geomatica P.C, Chania, Greece)
Stelios Mertikas (Technical University of Crete, Chania, Greece)

International Journal of Energy Sector Management

ISSN: 1750-6220

Article publication date: 9 August 2021

Issue publication date: 25 March 2022

351

Abstract

Purpose

The combination of desalination technology with renewable energy sources (RES) provides a sustainable approach for increasing potable water availability without imposing negative environmental effects. This paper aims to present the development of a platform, which is an internet-based tool integrating the design optimization of desalination systems with spatial modeling based on a geographic information system (GIS).

Design/methodology/approach

The proposed platform assists decision-makers to select the optimal location and configuration of both the energy- and water-related subsystems of desalination plants that are power-supplied by RES, such that the lifetime cost of the overall desalination plant is minimized. It enables to optimize the desalination plant site selection and sizing with various hybrid power supply (solar, wind, wave and electrical grid power systems) and desalination technologies combinations, while simultaneously exploiting spatial technologies in an internet-based GIS platform.

Findings

A pilot study for the optimal design of stand-alone and grid-connected desalination plants powered by RES is presented, which demonstrates the functionality and features of the proposed platform. It is also shown that a grid-connected desalination plant designed by the proposed software design tool exhibits significantly lower lifetime installation and maintenance costs compared to its stand-alone counterpart.

Originality/value

The proposed platform combines technological, scientific and industrial knowledge with information about societal/political conditions and geo-spatial technologies in a user-friendly graphical interface. Therefore, it provides a design tool enabling its users to secure water supply in a sustainable and economically viable manner.

Keywords

Acknowledgements

The work presented in this paper has been implemented within the framework of the research project DES2iRES: DESign of DESalination systems based on optimal usage of multiple RES (ERANETMED NEXUS-14–049) supported by the ERA-NET Initiative EUROMEDITERRANEAN Cooperation through ERANET joint activities and beyond (ERANETMED) under the topic ERANETMED Energy-Water nexus. In Greece, this work was funded by the Operational Program Competitiveness, Entrepreneur-ship and Innovation 2014–2020 (co-funded by the European Regional Development Fund) and managed by the Greek General Secretariat of Research and Technology, Ministry of Education, Research and Religious Affairs of Greece under the project DES2iRES (T3EPA-00017) of the ERANET action. In France, the research was funded by the National Research Agency (ANR). In Tunisia, the research was funded by the Ministry of Higher Education and Scientific Research (MESRS). These supports are gratefully acknowledged.

Citation

Koutroulis, E., Petrakis, G., Agou, V., Malisovas, A., Hristopulos, D., Partsinevelos, P., Tripolitsiotis, A., Halouani, N., Ailliot, P., Boutigny, M., Monbet, V., Allard, D., Cuzol, A., Kolokotsa, D., Varouchakis, E., Kokolakis, K. and Mertikas, S. (2022), "Site selection and system sizing of desalination plants powered with renewable energy sources based on a web-GIS platform", International Journal of Energy Sector Management, Vol. 16 No. 3, pp. 469-492. https://doi.org/10.1108/IJESM-04-2021-0018

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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