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Proposing Multiple-Criteria Ranking to Simulate Building Renovation in Cities

EasyChair Preprint no. 725

4 pagesDate: January 10, 2019


Building renovation plays a huge role in reducing CO2 emissions and energy demand. To understand the effects of different renova-tion strategies, expert users and decision makers need to explore renovation scenarios both spatially and temporally. The ongoing GEWISS project aims to do this by providing a GIS (Geographical Information System) to visualize energy demand per building as well as an interface to simulate possible renovation paths to its users. This white paper presents a novel proposal to simulate future renovation paths by utilizing different user scenarios containing multiple selection criteria to rank current building stock and con-sequently use optimization to pass them through the user selected renovation strategy in the most optimal way.

Keyphrases: Building renovation, district heating, simulation, urban energy planning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Arjun Jamil and Nils Weiss and Thomas Preisler and Wolfgang Renz},
  title = {Proposing Multiple-Criteria Ranking to  Simulate Building Renovation in Cities},
  howpublished = {EasyChair Preprint no. 725},
  doi = {10.29007/xwqz},
  year = {EasyChair, 2019}}
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