Technical Papers
Jul 11, 2023

Water Distribution System Optimization Considering Behind-the-Meter Solar Energy with a Hydraulic Power-Based Search-Space Reduction Method

Publication: Journal of Water Resources Planning and Management
Volume 149, Issue 9

Abstract

To meet increasing energy demands, reduce environmental impacts, and increase economic benefits, many water utilities have installed on-site renewable energy generation and storage facilities. These are commonly referred to as behind-the-meter (BTM) energy systems. This paper proposes a systematic optimization approach to the design and evaluation of water distribution systems (WDS) with BTM solar energy. The trade-offs between economic and environmental costs and the benefits these systems can have throughout their design life are demonstrated using a real-world pressurized irrigation system. Due to the large number of decision variables required during the optimization process and the associated high-computational cost, a hydraulic-power-based search-space reduction method has been developed. This method identifies common features of the pipes across a network based on the potential maximum flow and residual pressure head at the outlet of each pipe, so that pipes having similar hydraulic power capacity and thus similar diameters can be grouped together as a single decision variable. This effectively reduces the search space size and significantly increases the optimization efficiency for complex WDS optimization problems such as the optimal pipe design of WDS incorporating BTM solar energy in this study. In this paper, trade-offs between two objective function values [the total life-cycle cost and total life-cycle greenhouse gas (GHG) emissions] are investigated. A reduction in GHG emissions leads to an increase in the total cost and vice versa. It has also been found that the incorporation of BTM solar energy can significantly improve both objective function values. However, the optimal diameters of pipes and therefore the capital costs and GHG emissions are not sensitive to the increase in solar photovoltaic sizes.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions (e.g., anonymized data). Input data, the hydraulic model, and Python codes can be requested from the corresponding author subject to Lower Murray Water approval.

Acknowledgments

We would like to thank Lower Murray Water for supplying data for this paper. Wenyan Wu also acknowledges support from the Australian Research Council via the Discovery Early Career Researcher Award (DE210100117).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 149Issue 9September 2023

History

Received: Jun 1, 2022
Accepted: Apr 16, 2023
Published online: Jul 11, 2023
Published in print: Sep 1, 2023
Discussion open until: Dec 11, 2023

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Ph.D. Candidate, Dept. of Infrastructure Engineering, Univ. of Melbourne, Parkville, VIC 3010, Australia (corresponding author). ORCID: https://orcid.org/0000-0003-3045-476X. Email: [email protected]
Senior Lecturer, Dept. of Infrastructure Engineering, Univ. of Melbourne, Parkville, VIC 3010, Australia. ORCID: https://orcid.org/0000-0003-3907-1570. Email: [email protected]
Emeritus Professor, School of Architecture and Civil Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia. ORCID: https://orcid.org/0000-0003-1633-0111. Email: [email protected]
Ailsa Willis [email protected]
Hydraulic Modelling Engineer, Lower Murray Water, 741-759 Fourteenth St., Mildura, VIC 3500, Australia. Email: [email protected]

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