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https://hdl.handle.net/2440/139964
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Type: | Journal article |
Title: | Water distribution system design integrating behind-the-meter solar under long-term uncertainty |
Author: | Yao, J. Wu, W. Simpson, A.R. Rismanchi, B. |
Citation: | Sustainable Cities and Society, 2023; 98:104844-1-104844-17 |
Publisher: | Elsevier BV |
Issue Date: | 2023 |
ISSN: | 2210-6707 2210-6715 |
Statement of Responsibility: | Jiayu Yao, Wenyan Wu, Angus R. Simpson, Behzad Rismanchi |
Abstract: | Water distribution systems (WDSs) are important urban water infrastructure supporting a wide range of human activities. Due to the significant amount of energy consumed by the WDS throughout its lifespan, the operation of WDSs may have a significant impact on the environment, affecting the sustainable development of cities into the future. Behind-the-metre (BTM) solar photovoltaic (PV) system integration has been considered an effective way to reduce the impact of WDSs on the environment. However, solar PV technology is developing rapidly. Combined with long-term changes in water demand driven by population growth and urbanisation, the design of a WDS considering BTM solar has become a more challenging task. In this study, the co-design of WDS integrating BTM solar PV systems under changing future conditions in terms of water demand and solar PV technology development is investigated. It has been found that the BTM solar PV system and the potential development in solar PV technology effectively improve the robustness of WDS design under uncertain future water demand. The outcomes of this study can be extended to guide infrastructure design to provide sustainable infrastructure for future cities, and therefore cities can continue to support human activities in deeply uncertain future. |
Keywords: | Water distribution system; Behind-the-meter solar; Water demand uncertainty; Technology development uncertainty |
Rights: | © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/). |
DOI: | 10.1016/j.scs.2023.104844 |
Grant ID: | http://purl.org/au-research/grants/arc/DE210100117 |
Published version: | http://dx.doi.org/10.1016/j.scs.2023.104844 |
Appears in Collections: | Chemical Engineering publications |
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hdl_139964.pdf | Published version | 5.4 MB | Adobe PDF | View/Open |
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