Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/128268
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Dynamic, multi-objective optimal design and operation of water-energy systems for small, off-grid islands
Author: Giudici, F.
Castelletti, A.
Garofalo, E.
Giuliani, M.
Maier, H.
Citation: Applied Energy, 2019; 250:605-616
Publisher: Elsevier
Issue Date: 2019
ISSN: 0306-2619
1872-9118
Statement of
Responsibility: 
Federico Giudici, Andrea Castelletti, Elisabetta Garofalo, Matteo Giuliani, Holger R. Maier
Abstract: Small Mediterranean islands are remote, off-grid communities characterized by carbon intensive electricity systems coupled with high energy consuming desalination technologies to produce potable water. The aim of this study is to propose a novel dynamic, multi-objective optimization approach for improving the sustainability of small islands through the introduction of renewable energy sources. The main contributions of our approach include: (i) dynamic modelling of desalination plant operations, (ii) joint optimization of system design and operations, (iii) multi-objective optimization to explore trade-offs between potentially conflicting objectives. We test our approach on the real case study of the Italian Ustica island by means of a comparative analysis with a traditional non-dynamic, least cost optimization approach. Numerical results show the effectiveness of our approach in identifying optimal system configurations, which outperform the traditional design with respect to different sustainability indicators, limiting the structural interventions, the investment costs and the environmental impacts. In particular, the optimal dynamic solutions able to satisfy the whole water demand allow high levels of penetration of renewable energy sources (up to more than 40%) to be reached, reducing the net present cost by about 2–3 M€ and the CO₂ emissions by more than 200 tons/y.
Keywords: Water-energy nexus; small off-grid islands; renewable energy sources; desalination; multi-objective optimization
Rights: © 2019 Elsevier Ltd. All rights reserved.
RMID: 0030117128
DOI: 10.1016/j.apenergy.2019.05.084
Appears in Collections:Civil and Environmental Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.