@article{FriegeChappin2014,
  author    = {Friege, Jonas and Chappin, Emile Jean Louis},
  title     = {Modelling decisions on energy-efficient renovations : a review},
  journal   = {Renewable and sustainable energy reviews},
  volume    = {39},
  doi       = {10.1016/j.rser.2014.07.091},
  url       = {http://nbn-resolving.de/urn:nbn:de:bsz:wup4-opus-55205},
  pages     = {196 -- 208},
  year      = {2014},
  abstract  = {The buildings sector accounts for more than 30\% of global greenhouse gas emissions. Despite the well-known economic viability of many energy-efficient renovation measures which offer great potential for reducing greenhouse gas emissions and meeting climate protection targets, there is a relatively low level of implementation. We performed a citation network analysis in order to identify papers at the research front and intellectual base on energy-efficient renovation in four areas: technical options, understanding decisions, incentive instruments, and models and simulation. The literature was reviewed in order to understand what is needed to sufficiently increase the number of domestic energy-efficient renovations and to identify potential research gaps. Our findings show that the literature on energy-efficient renovation gained considerable momentum in the last decade, but lacks a deep understanding of the uncertainties surrounding economic aspects and non-economic factors driving renovation decisions of homeowners. The analysis indicates that the (socio-economic) energy saving potential and profitability of energy-efficient renovation measures is lower than generally expected. It is suggested that this can be accounted for by the failure to understand and consider the underpinning influences of energy-consuming behaviour in calculations. Homeowners׳ decisions to renovate are shaped by an alliance of economic and non-economic goals. Therefore, existing incentives, typically targeting the economic viability of measures, have brought little success. A deeper understanding of the decisions of homeowners is needed and we suggest that a simulation model which maps the decision-making processes of homeowners may result in refining existing instruments or developing new innovative mechanisms to tackle the situation.},
  language  = {en}
}