Proposing Multiple-Criteria Ranking to Simulate Building Renovation in Cities

EasyChair Preprint 725

Abstract

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

@booklet{EasyChair:725,
  author    = {Arjun Jamil and Nils Weiss and Thomas Preisler and Wolfgang Renz},
  title     = {Proposing Multiple-Criteria Ranking to  Simulate Building Renovation in Cities},
  doi       = {10.29007/xwqz},
  howpublished = {EasyChair Preprint 725},
  year      = {EasyChair, 2019}}