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Cost optimal energy performance renovation measures in a municipal service building in a cold climate

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationCLIMA 2019 Congress
Subtitle of host publicationBucharest, Romania, May 26-29, 2019
PublisherEDP Sciences
DOIs
Publication statusPublished - 13 Aug 2019
Publication typeA4 Article in a conference publication
EventREHVA World Congress - Bucharest, Romania
Duration: 26 May 201929 May 2019

Publication series

NameE3S Web of Conferences
Volume111
ISSN (Print)2555-0403

Conference

ConferenceREHVA World Congress
CountryRomania
CityBucharest
Period26/05/1929/05/19

Abstract

The energy saving potential of existing buildings is significant compared to new buildings in the EU region. To reduce significantly the CO2 emissions of buildings, energy efficiency of old buildings need to be improved. Aim of this study is to determine cost-optimal solutions for energy renovation and renewable energy production systems for an old existing service building. The example building of this study is a residence for elderly people, which was built in 1955 and located in Finland. This study was carried out by a dynamic building simulation tool IDA-ICE and multi objective optimization tool MOBO. The cost-optimal renovation concepts were determined from over 2.6 billion renovation measure combinations to minimize both target energy consumption and life-cycle costs over 20 years. The results show that air-to-water heat pump is more cost effective heating system for the studied building than district heating from the building owner point of view. Improving thermal insulation level of the external walls from the original level is not the most cost-effective option to improve the energy efficiency of the building. Instead of that, for example, installation of PV and solar thermal systems are recommended in all the cost-optimal solutions regardless of the target energy consumption level.

Publication forum classification

Field of science, Statistics Finland

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