Evaluating the energy retrofitting strategies of the Swedish building stock for the uncertain future climate
This project addresses one of the most important issues in the building sector, namely how to reduce energy consumption and how to retrofit buildings while facing the uncertain future climate. Impact assessment of climate change on the hygrothermal performance of the Swedish building stock, including residential and non-residential buildings is performed. The work develops the existing models and methods further to evaluate different retrofitting measures. Future conditions and risks for buildings are assessed with the help of numerical simulations using several climate scenarios. Effectiveness of the retrofitting measures are evaluated by assessing their moisture performance, potential for energy saving, potential for CO2 mitigation and economic feasibility. The suitable retrofitting measures should be robust enough against climate change and its extreme conditions. This project will result in a methodology for impact assessment of climate change while different climate uncertainties and retrofitting measures are considered for a building stock. Using Sweden as an example, the developed methodology and the obtained results are expected to encourage other countries for the investments in the building sector in order to overcome the climate change related challenges, and to transform the building sector in a more sustainable direction.
Duration: 2014 - 2016
Financed by Formas
Vahid Nik (Project leader)
Senior Lecturer, Building Physics, Building and Environmental Engineering, Lund University
Post doc, Energy and Environment, Chalmers
Associate Professor, Civil and Environmental Engineering, Building Technology, Chalmers
Gou, Sh., Nik, V. M., Scartezzini, J.-L., Zhao, Q., Li, Zh., “Passive design optimization of newly-built resi-dential buildings in Shanghai for improving indoor thermal comfort while reducing building energy demand”, Energy and Buildings, 2018;169:484–506.
Nik, V. M., “Application of typical and extreme weather data sets in the hygrothermal simulation of building components for future climate – A case study for a wooden frame wall”, Energy Build., vol. 154, pp. 30–45, Nov. 2017.
Nik, V. M., “Making energy simulation easier for future climate - Synthesizing typical and extreme weather data sets out of regional climate models (RCMs)”, Applied Energy, vol. 177, pp. 204–226, Sep. 2016.
Nik, V. M., Mata, E., Sasic Kalagasidisc, A., Scartezzini, J.-L., “Effective and robust energy retrofitting measures for future climatic conditions—Reduced heating demand of Swedish households, Energy Build., vol. 121, pp. 176-187, Jun. 2016.
Nik, V. M., Mata, É., Sasic Kalagasidis, A. , “A statistical method for assessing retrofitting measures of buildings and ranking their robustness against climate change,” Energy Build., vol. 88, pp. 262–275, Feb. 2015.
Nik, Vahid M., and Angela Sasic Kalagasidis. 2013. “Impact Study of Climate Change on the Energy Performance of the Building Stock in Stockholm Considering Four Climate Uncertainties.” Building and Environment (February): 291-304. doi:10.1016/j.buildenv.2012.11.005.