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Spatial distribution of the theoretical potential of waste heat from sewage: A statistical approach

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  • Pelda, Johannes
  • Holler, Stefan

Abstract

This paper statistically validates a novel methodology that quantifies, qualifies and spatially allocates the waste heat potential of sewage systems on an urban district level, in all cases in which real data from the sewage system does not exist or is not publicly available. The methodology is based on open data and open source technology and can be adapted to various types of cities. The results, from the application of the methodology for an example city, show that the methodology robustly calculated the paths and waste water volumetric flow from waste water sources to the waste water treatment plant. The modelled system maps the sewage system accurately within areas that have a population density close to the average. Despite small inaccuracies in the overall mapping, the methodology is able to present a good estimation of spatially distributed waste heat from water flows of the sewage system in the example city.

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  • Pelda, Johannes & Holler, Stefan, 2019. "Spatial distribution of the theoretical potential of waste heat from sewage: A statistical approach," Energy, Elsevier, vol. 180(C), pages 751-762.
    • Handle: RePEc:eee:energy:v:180:y:2019:i:c:p:751-762
    DOI: 10.1016/j.energy.2019.05.133
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    1. Rämä, Miika & Wahlroos, Mikko, 2018. "Introduction of new decentralised renewable heat supply in an existing district heating system," Energy, Elsevier, vol. 154(C), pages 68-79.
    2. Ziemele, Jelena & Cilinskis, Einars & Blumberga, Dagnija, 2018. "Pathway and restriction in district heating systems development towards 4th generation district heating," Energy, Elsevier, vol. 152(C), pages 108-118.
    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Werner, S. & Möller, B. & Persson, U. & Boermans, T. & Trier, D. & Østergaard, P.A. & Nielsen, S., 2014. "Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system," Energy Policy, Elsevier, vol. 65(C), pages 475-489.
    4. Bertrand, Alexandre & Aggoune, Riad & Maréchal, François, 2017. "In-building waste water heat recovery: An urban-scale method for the characterisation of water streams and the assessment of energy savings and costs," Applied Energy, Elsevier, vol. 192(C), pages 110-125.
    5. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    6. Möller, Bernd & Wiechers, Eva & Persson, Urban & Grundahl, Lars & Connolly, David, 2018. "Heat Roadmap Europe: Identifying local heat demand and supply areas with a European thermal atlas," Energy, Elsevier, vol. 158(C), pages 281-292.
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    5. Ieva Pakere & Dagnija Blumberga & Anna Volkova & Kertu Lepiksaar & Agate Zirne, 2023. "Valorisation of Waste Heat in Existing and Future District Heating Systems," Energies, MDPI, vol. 16(19), pages 1-22, September.
    6. Meibodi, Saleh S. & Loveridge, Fleur, 2022. "The future role of energy geostructures in fifth generation district heating and cooling networks," Energy, Elsevier, vol. 240(C).
    7. Revesz, Akos & Jones, Phil & Dunham, Chris & Davies, Gareth & Marques, Catarina & Matabuena, Rodrigo & Scott, Jim & Maidment, Graeme, 2020. "Developing novel 5th generation district energy networks," Energy, Elsevier, vol. 201(C).
    8. Horak, Daniel & Hainoun, Ali & Neugebauer, Georg & Stoeglehner, Gernot, 2022. "A review of spatio-temporal urban energy system modeling for urban decarbonization strategy formulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    9. Grzegorz Bartnicki & Piotr Ziembicki & Marcin Klimczak & Agnieszka Kalitka, 2022. "The Potential of Heat Recovery from Wastewater Considering the Protection of Wastewater Treatment Plant Technology," Energies, MDPI, vol. 16(1), pages 1-15, December.

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