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Reducing carbon emissions by integrating urban water systems and renewable energy sources at a community scale

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  • Liu, F.
  • Tait, S.
  • Schellart, A.
  • Mayfield, M.
  • Boxall, J.

Abstract

This paper presents a novel take on the energy-water nexus; exploring the coupling of renewable generation sources with drinking water distribution and wastewater collection assets that can store and release energy in response to temporal changes in residential heat demand. The paper presents the development of a simulation tool that uniquely integrates energy storage in drinking water reservoirs, heat recovery from sewers with wind turbine(s), solar photovoltaic panel(s) and a non-renewable source. Simulations at the scale of a 1000 household community and hourly intervals were used to find the optimal energy generation mix that minimises the total annual carbon emissions (embedded and operational). Three different locations in the UK were studied. Results show that the integrated idealised system is able to satisfy the heat demand for up to 63% of the time across a year with no carbon emissions, and reduce the annual associated CO2 by 60% when compared to all heat demand being satisfied by natural gas. This work shows that adopting such an interlinked system at a typical neighbourhood scale could help the UK meet its carbon emission obligations by substantially reducing the 18% of the UK's CO2 emission (currently estimated to be) related to domestic heat use.

Suggested Citation

  • Liu, F. & Tait, S. & Schellart, A. & Mayfield, M. & Boxall, J., 2020. "Reducing carbon emissions by integrating urban water systems and renewable energy sources at a community scale," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
  • Handle: RePEc:eee:rensus:v:123:y:2020:i:c:s1364032120300630
    DOI: 10.1016/j.rser.2020.109767
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    References listed on IDEAS

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    1. Berger, Matthias & Worlitschek, Jörg, 2018. "A novel approach for estimating residential space heating demand," Energy, Elsevier, vol. 159(C), pages 294-301.
    2. Liu, Lanbin & Fu, Lin & Jiang, Yi, 2010. "Application of an exhaust heat recovery system for domestic hot water," Energy, Elsevier, vol. 35(3), pages 1476-1481.
    3. Diaf, S. & Diaf, D. & Belhamel, M. & Haddadi, M. & Louche, A., 2007. "A methodology for optimal sizing of autonomous hybrid PV/wind system," Energy Policy, Elsevier, vol. 35(11), pages 5708-5718, November.
    4. Deshmukh, M.K. & Deshmukh, S.S., 2008. "Modeling of hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 235-249, January.
    5. Voyant, Cyril & Muselli, Marc & Paoli, Christophe & Nivet, Marie-Laure, 2012. "Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation," Energy, Elsevier, vol. 39(1), pages 341-355.
    6. Angela Arpke & Neil Hutzler, 2006. "Domestic Water Use in the United States: A Life‐Cycle Approach," Journal of Industrial Ecology, Yale University, vol. 10(1‐2), pages 169-184, January.
    7. Nadjemi, O. & Nacer, T. & Hamidat, A. & Salhi, H., 2017. "Optimal hybrid PV/wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1352-1365.
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