Evaluation of energy renovation strategies for 12 historic building types using LCC optimization

Abstract The life cycle cost (LCC) optimization is a vital method when performing building energy renovation. The present paper provides an evaluation of cost-optimal energy renovation strategies for historic buildings using LCC optimization software OPERA-MILP. The evaluation is performed based on preset targets depending on LCC (LCC optimum) and energy use (decrease by 50%), where the environmental performance is also addressed. Twelve building types, which are typical of the historic building stock in Visby, Sweden, are used as the study object. The results show possible decreases of 12–38% in LCC when targeting LCC optimum. When targeting a 50% decrease in energy use, the LCC is decreased in 21 of 26 cases compared to before energy renovation. Cost-efficient EEMs on the building envelope are characterized by low renovation costs and additional insulation of building components with poor thermal properties. Furthermore, the environmental performance from the energy renovations is highly dependent on the chosen energy system boundary.

[1]  Maurizio Cellura,et al.  Embodied energy and environmental impacts of a biomass boiler: a life cycle approach , 2015 .

[2]  Maria T. Johansson Effects on global CO2 emissions when substituting LPG with bio-SNG as fuel in steel industry reheating furnaces—the impact of different perspectives on CO2 assessment , 2016 .

[3]  Targo Kalamees,et al.  Analysis of energy economic renovation for historic wooden apartment buildings in cold climates , 2014 .

[4]  Stig-Inge Gustafsson,et al.  Mixed integer linear programming and building retrofits , 1998 .

[5]  Fausto Freire,et al.  Energy retrofit of historic buildings: Environmental assessment of cost-optimal solutions , 2015 .

[6]  Bahram Moshfegh,et al.  Investigating cost-optimal refurbishment strategies for the medieval district of Visby in Sweden , 2018 .

[7]  Juha Jokisalo,et al.  Cost-effectiveness of energy performance renovation measures in Finnish brick apartment buildings , 2017 .

[8]  Bahram Moshfegh,et al.  On the performance of LCC optimization software OPERA-MILP by comparison with building energy simulation software IDA ICE , 2018 .

[9]  Moncef Krarti,et al.  Optimization of energy efficiency and thermal comfort measures for residential buildings in Salamanca, Mexico , 2012 .

[10]  Tor Broström,et al.  A Method to Assess the Potential for and Consequences of Energy Retrofits in Swedish Historic Buildings , 2014 .

[11]  Bahram Moshfegh,et al.  LCC assessments and environmental impacts on the energy renovation of a multi-family building from the 1890s , 2016 .

[12]  Alessandro Prada,et al.  Multi-objectives optimization of Energy Efficiency Measures in existing buildings , 2015 .

[13]  Targo Kalamees,et al.  Renovation alternatives to improve energy performance of historic rural houses in the Baltic Sea region , 2014 .

[14]  Tor Broström,et al.  For the categorisation of historic buildings to determine energy saving , 2017 .

[15]  Tomas Ekström,et al.  Cost-effective Passive House renovation packages for Swedish single-family houses from the 1960s and 1970s , 2018 .

[16]  Stig-Inge Gustafsson Optimal fenestration retrofits by use of MILP programming technique , 2001 .