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Is on-property heat and greywater recovery a sustainable option?: A quantitative and qualitative assessment up to 2050
KTH Royal Institute of Technology, Department of Philosophy and History, WaterCentre@KTH, Sweden.
KTH Royal Institute of Technology, Department of Philosophy and History, WaterCentre@KTH, Sweden.
KTH Royal Institute of Technology, Department of Energy Technology, Sweden.
Mälardalen University, School of Business, Society and Engineering, Industrial Economics and Organisation.ORCID iD: 0000-0003-3865-7609
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2023 (English)In: Energy Policy, ISSN 0301-4215, E-ISSN 1873-6777, Vol. 182, article id 113727Article in journal (Refereed) Published
Abstract [en]

This article deals with ongoing attempts to recover heat and greywater at property level, based on an in-depth study of Stockholm, Sweden. We explore different socio-technical development paths from now up until 2050 using a novel combination of on-property technology case-studies, actor studies and system-level scenario evaluation, based on Artificial Neural Networks modelling. Our results show that the more conservative scenarios work in favour of large-scale actors while the more radical scenarios benefit the property owners. However, in the radical scenarios we identify disruptive effects on a system level due to disturbance on wastewater treatment plants, where incoming wastewater can be critically low for up to 120 days per year. At the same time, net energy savings are relatively modest (7.5% of heat demand) and economic gains for property owners small or uncertain. Current policies at EU and national level around energy-efficient buildings risk being counter-productive in cases when they push property owners to install wastewater heat recovery technology which, in places like Stockholm, can create suboptimal outcomes at the system level. 

Place, publisher, year, edition, pages
Elsevier Ltd , 2023. Vol. 182, article id 113727
Keywords [en]
Actor-driven disruption, Future scenarios, Heat and water recovery, System modelling, Urban energy policy, Energy efficiency, Recovery, Waste heat, Wastewater treatment, Future scenario, Property, Property owners, System levels, System models, Urban energy, Water recovery, Neural networks
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:mdh:diva-63983DOI: 10.1016/j.enpol.2023.113727ISI: 001051815500001Scopus ID: 2-s2.0-85166184740OAI: oai:DiVA.org:mdh-63983DiVA, id: diva2:1788626
Available from: 2023-08-16 Created: 2023-08-16 Last updated: 2023-09-06Bibliographically approved

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Blomkvist, Pär

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