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A systematic approach to predict the economic and environmental effects of the cost-optimal energy renovation of a historic building district on the district heating system
Linköpings universitet.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Energy Systems and Building Technology. Linköpings universitet.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Energy Systems and Building Technology. Linköpings universitet.ORCID iD: 0000-0003-3472-4210
2020 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 13, no 1, article id 276Article in journal (Refereed) Published
Abstract [en]

The economic and environmental performance of a district heating (DH) system is to a great extent affected by the size and dynamic behavior of the DH load. By implementing energy efficiency measures (EEMs) to increase a building’s thermal performance and by performing cost-optimal energy renovation, the operation of the DH system will be altered. This study presents a systematic approach consisting of building categorization, life cycle cost (LCC) optimization, building energy simulation and energy system optimization procedures, investigating the profitability and environmental performance of cost-optimal energy renovation of a historic building district on the DH system. The results show that the proposed approach can successfully be used to predict the economic and environmental effects of cost-optimal energy renovation of a building district on the local DH system. The results revealed that the financial gains of the district are between 186 MSEK (23%) and 218 MSEK (27%) and the financial losses for the DH system vary between 117–194 MSEK (5–8%). However, the suggested renovation measures decrease the local and global CO2 emissions by 71–75 metric ton of CO2eq./year (4%) and 3545–3727 metric ton of CO2eq./year (41–43%), respectively. Total primary energy use was decreased from 57.2 GWh/year to 52.0–52.2 GWh/year.

Place, publisher, year, edition, pages
MDPI, 2020. Vol. 13, no 1, article id 276
Keywords [en]
LCC optimization, building energy simulation, energy system optimization, energy renovation, historic building district, district heating system
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:hig:diva-31598DOI: 10.3390/en13010276Scopus ID: 2-s2.0-85077997830OAI: oai:DiVA.org:hig-31598DiVA, id: diva2:1389458
Available from: 2020-01-30 Created: 2020-01-30 Last updated: 2020-03-05Bibliographically approved

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Amiri, ShahnazMoshfegh, Bahram

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