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An interactive planning model for sustainable urban water and energy supply

Vakilifard, Negar; A. Bahri, Parisa; Anda, Martin and Ho, Goen (2019). An interactive planning model for sustainable urban water and energy supply. Applied Energy, 235 pp. 332–345.

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An interactive multi-period planning model is presented for sustainable urban water and energy supply, taking into account surplus output from grid-connected residential photovoltaics as a part of the water-related energy mix. The two-level mixed integer linear model finds the optimal strategic and operational decisions for a desalination-based water supply system driven by hybrid energy sources and determines the evolution of the potential capacity of a renewable energy technology over the planning horizon. It considers demands, supply systems configuration, resources capacities and electricity tariffs as well as economic, subjectivity and technical criteria for uptaking rooftop photovoltaic systems. The model was then applied to Perth (Australia) and solved for alternative scenarios. The results show operational flexibility and decentralised planning of the integrated system lead to USD 251,515,132 less discounted total cost over centralised water supply system operated in fixed mode. They also indicate that decentralised scenario results in 42,765.1 kW higher potential photovoltaics uptake capacity on average in each year over the planning horizon in the case study area compared to centralised scenarios. However, based on the results of the sensitivity analysis, the selection of this scenario as the best alternative highly depends on the parameters values associated with subjectivity criterion and operational and maintenance cost of flexible mode of operation.

Item Type: Journal Item
Copyright Holders: 2018 Elsevier Ltd.
ISSN: 0306-2619
Keywords: Photovoltaic system; Grid electricity; Urban water supply; Short-term scheduling; Long-term planning
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: 59811
Depositing User: Negar Vakilifard
Date Deposited: 15 Jul 2019 09:08
Last Modified: 15 Jul 2019 09:25
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