Grid Impact of Wastewater Resource Recovery Facilities-Based Community Microgrids

The overarching goal of this paper is to explore innovative ways to adapt existing urban infrastructure to achieve a greener and more resilient city, specifically on synergies between the power grid, the wastewater treatment system, and community development in low-lying coastal areas. This study ad...

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Bibliographic Details
Published in:Smart cities (Basel) 2023-12, Vol.6 (6), p.3427-3453
Main Authors: Mohamed, Ahmed Ali A., Zafar, Kirn, Vaidya, Dhavalkumar, Salmeron, Lizzette, Kanwhen, Ondrea, Esa, Yusef, Kamaludeen, Mohamed
Format: Article
Language:English
Subjects:
Alternative energy sources
Blackouts
Case studies
Coastal zone
Community development
community microgrids
Distributed generation
Electricity
Electricity distribution
Emissions
Energy consumption
Energy efficiency
Energy resources
Energy sources
Energy storage
Feasibility studies
GHG
Greenhouse gases
Infrastructure
Literature reviews
renewable energy
Renewable resources
Resilience
Resource recovery
Sustainability
Technology assessment
Wastewater treatment
Water treatment
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Summary:The overarching goal of this paper is to explore innovative ways to adapt existing urban infrastructure to achieve a greener and more resilient city, specifically on synergies between the power grid, the wastewater treatment system, and community development in low-lying coastal areas. This study addresses the technical feasibility, benefits, and barriers of using wastewater resource recovery facilities (WRRFs) as community-scale microgrids. These microgrids will act as central resilience and community development hubs, enabling the adoption of renewable energy and the provision of ongoing services under emergency conditions. Load flow modeling and analysis were carried out using real network data for a case study in New York City (NYC). The results validate the hypothesis that distributed energy resources (DERs) at WRRFs can play a role in improving grid operation and resiliency.
ISSN:2624-6511
2624-6511
DOI:10.3390/smartcities6060152