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Integrating Real-time Operational Constraints in Planning of Water and Energy Supply

Vakilifard, Negar; Bahri, Parisa A.; Anda, Martin and Ho, Goen (2018). Integrating Real-time Operational Constraints in Planning of Water and Energy Supply. In: 28th European Symposium on Computer Aided Process Engineering. Computer Aided Chemical Engineering, 43. Elsevier, pp. 313–318.

DOI (Digital Object Identifier) Link: https://doi.org/10.1016/B978-0-444-64235-6.50058-9
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Abstract

Given increasing urban population, environmental issues and limited natural resources, long-term planning of water supply systems driven by renewable energies is the only way towards affordable secure and sustainable water and energy future. In this context, daily surplus output from grid-connected rooftop photovoltaics (PVs) is a promising clean energy source to be considered in urban water-related energy mix. In this paper, we address the optimal strategic investment decisions of an urban desalination-based water supply system driven by grid electricity and surplus PVs output, considering real-time operational constraints. The model is formulated as a two-level mixed integer linear programming (MILP) problem. The real-time operational constraints associated with water production, storage and transfer are integrated with yearly planning constraints corresponding to desalination plants, storage tanks and pipeline capacities and locations. The optimal decisions are obtained such that the operation of the water supply system has the most compatibility with available renewable energy. The capabilities of the proposed model are tested through a case-study from north-western corridor of Perth, Western Australia.

Item Type: Book Section
ISSN: 1570-7946
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 62540
Depositing User: Negar Vakilifard
Date Deposited: 19 Jul 2019 11:52
Last Modified: 26 Mar 2020 10:24
URI: http://oro.open.ac.uk/id/eprint/62540
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