Mesoscale Modeling of Distributed Water Systems Enables Policy Search

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dc.citation.articleNumbere2022WR033758en_US
dc.citation.issueNumber5en_US
dc.citation.journalTitleWater Resources Researchen_US
dc.citation.volumeNumber59en_US
dc.contributor.authorZhou, Xiangnanen_US
dc.contributor.authorDuenas-Osorio, Leonardoen_US
dc.contributor.authorDoss-Gollin, Jamesen_US
dc.contributor.authorLiu, Luen_US
dc.contributor.authorStadler, Laurenen_US
dc.contributor.authorLi, Qilinen_US
dc.contributor.orgNanosystems Engineering Research Center for Nanotechnology-Enabled Water Treatmenten_US
dc.date.accessioned2023-07-17T20:44:48Zen_US
dc.date.available2023-07-17T20:44:48Zen_US
dc.date.issued2023en_US
dc.description.abstractIt is widely acknowledged that distributed water systems (DWSs), which integrate distributed water supply and treatment with existing centralized infrastructure, can mitigate challenges to water security from extreme events, climate change, and aged infrastructure. However, it is unclear which are beneficial DWS configurations, i.e., where and at what scale to implement distributed water supply. We develop a mesoscale representation model that approximates DWSs with reduced backbone networks to enable efficient system emulation while preserving key physical realism. Moreover, system emulation allows us to build a multiobjective optimization model for computational policy search that addresses energy utilization and economic impacts. We demonstrate our models on a hypothetical DWS with distributed direct potable reuse (DPR) based on the City of Houston's water and wastewater infrastructure. The backbone DWS with greater than 92% link and node reductions achieves satisfactory approximation of global flows and water pressures, to enable configuration optimization analysis. Results from the optimization model reveal case-specific as well as general opportunities, constraints, and their interactions for DPR allocation. Implementing DPR can be beneficial in areas with high energy intensities of water distribution, considerable local water demands, and commensurate wastewater reuse capacities. The mesoscale modeling approach and the multiobjective optimization model developed in this study can serve as practical decision-support tools for stakeholders to search for alternative DWS options in urban settings.en_US
dc.identifier.citationZhou, Xiangnan, Duenas-Osorio, Leonardo, Doss-Gollin, James, et al.. "Mesoscale Modeling of Distributed Water Systems Enables Policy Search." <i>Water Resources Research,</i> 59, no. 5 (2023) Wiley: https://doi.org/10.1029/2022WR033758.en_US
dc.identifier.doihttps://doi.org/10.1029/2022WR033758en_US
dc.identifier.urihttps://hdl.handle.net/1911/114932en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsThis work is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the work beyond the bounds of Fair Use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.titleMesoscale Modeling of Distributed Water Systems Enables Policy Searchen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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