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Cost-optimum analysis of building fabric renovation in a Swedish multi-story residential building
Linnaeus University, Faculty of Technology, Department of Built Environment and Energy Technology. (SBER)
Linnaeus University, Faculty of Technology, Department of Built Environment and Energy Technology. (SBER)
Linnaeus University, Faculty of Technology, Department of Built Environment and Energy Technology. (SBER)
2014 (English)In: Energy and Buildings, ISSN 0378-7788, E-ISSN 1872-6178, Vol. 84, p. 662-673Article in journal (Refereed) Published
Abstract [en]

In this study, we analysed the cost-optimum level of building fabric elements renovation in a multi-story residential building. We calculated final energy use for space heating of the building considering a wide range of energy efficiency measures, for exterior walls, basement walls, attic floor and windows. Different extra insulation thicknesses for considered opaque elements and different U-values for new windows were used as energy efficiency measures. We calculated difference between the marginal saving of energy cost for space heating and the investment cost of implemented energy efficiency measures, in order to find the cost-optimum measure for each element. The implications of building lifespans, annual energy price increase and discount rate on the optimum measure were also analysed. The results of the analysis indicate that the contribution of energy efficiency measures to the final energy use reduces, significantly, by increasing the thickness of extra insulation and by reducing the U-value of new windows. We considered three scenarios of business as usual (BAU), intermediate and sustainability, considering different discount rates and energy price increase. The results of this analysis suggest that the sustainability scenario may offer, approximately, 100% increase in the optimum thickness of extra insulation compare to BAU scenario. However, the implication of different lifespans of 40, 50 or 60 years, on the optimum measure appears to be either negligible or very small, depending on the chosen scenario. We also calculated the corresponding U-value of the optimum measures in order to compare them with the current Swedish building code requirements and passive house criteria. The results indicate that all optimum measures meet the Swedish building code. None of the optimum measures, however, meet the passive house criteria in BAU scenario. This study suggests that the employed method of building renovation cost-optimum analyses can be also applied on new building construction to find the cost-optimum design from energy conservation point of view.

Place, publisher, year, edition, pages
Elsevier, 2014. Vol. 84, p. 662-673
Keywords [en]
Energy renovation, Building refurbishment, cost-optimisation
National Category
Civil Engineering Building Technologies Energy Systems
Research subject
Environmental Science, Environmental technology; Technology (byts ev till Engineering), Civil engineering
Identifiers
URN: urn:nbn:se:lnu:diva-37137DOI: 10.1016/j.enbuild.2014.09.003ISI: 000345182000066Scopus ID: 2-s2.0-84907485527OAI: oai:DiVA.org:lnu-37137DiVA, id: diva2:748605
Available from: 2014-09-19 Created: 2014-09-19 Last updated: 2018-09-28Bibliographically approved
In thesis
1. Cost-optimality approach for prioritisation of buildings envelope energy renovation: A techno-economic perspective
Open this publication in new window or tab >>Cost-optimality approach for prioritisation of buildings envelope energy renovation: A techno-economic perspective
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The existing residential buildings in the European countries are rather old and often fail to meet the current energy performance criteria. In Sweden, about 45% of the existing residential buildings have been constructed before 1960. Considering the significant contribution of existing buildings to Greenhouse Gas emissions, improving buildings energy performance could considerably help to achieve the national targets. Sweden’s fourth national action plan calls for 45% reduction in final energy use for heating of buildings by 2050, compared to 1995. Deep energy renovation of buildings envelope would significantly contribute to heat demand reduction. However, it is often subject to complex challenges from economic perspectives.

In this thesis, the cost-effectiveness and cost-optimality of building energy renovation have been studied in order to provide knowledge on where to start building renovation, in which order and to what extent. It aims at suggesting cost-effective approaches for prioritising the implementation of energy renovation measures in residential buildings, considering different techno- economic scenarios. An extensive building energy simulation work and analytical analysis were performed on a multi-family building and single- family houses.

The findings suggest how to prioritise the energy renovation of different envelope components in buildings located in different outdoor climates from energy saving and cost-effective perspectives. The findings indicate that the energy renovation of older buildings in northern climate zones are more cost- effective, compared to less old buildings in southern zones, when renovated to a cost-optimal level. The older buildings offer more energy saving when renovated to a cost-optimal level, compared to less old buildings or those in southern zones. The contribution of climate zones to the cost-effectiveness of energy renovation varies significantly in different components, depending on their level of exposure to outdoor climate.

An optimisation exercise was done in order to maximise energy saving by renovation of building envelope components under budget constraint condition. The enumerative algorithm of Brute-force was employed for this optimisation problem. The results suggest optimum renovation packages which could offer as much energy saving as a limited budget allows. It helps to develop a forward-thinking perspective that would guide individuals and financial institutions in their investment plans and incentives allocation policy.

Place, publisher, year, edition, pages
Växjö: Linnaeus University Press, 2018. p. 90
Series
Linnaeus University Dissertations ; 311
Keywords
Building renovation, Energy efficiency, Cost-optimality, costeffectiveness, Building envelope, Residential buildings, Building energy simulation, Brute-force algorithm
National Category
Civil Engineering Building Technologies Environmental Engineering
Research subject
Technology (byts ev till Engineering), Sustainable Built Environment
Identifiers
urn:nbn:se:lnu:diva-78059 (URN)978-91-88761-33-0 (ISBN)978-91-88761-34-7 (ISBN)
Public defence
2018-03-08, Södrasalen, Hus M, Växjö, 12:00
Opponent
Supervisors
Available from: 2018-09-28 Created: 2018-09-27 Last updated: 2018-09-28Bibliographically approved

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Bonakdar, FarshidDodoo, AmbroseGustavsson, Leif

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