With the Paris Agreement and the EU's commitment to achieving the European Green Deal targets, rating systems are being introduced to help steer investment markets toward responsible investments in all sectors with high environmental impacts. This is crucial for the construction industry, which is responsible for a significant proportion of global emissions but does not yet have a uniform and transparent sustainability rating system based on environmental, social, and governance (ESG) factors.
ESG factors refer to the three key areas in quantifying the sustainability and social impact of an investment. The growing trend toward ESG integration among companies and investors shows that it is not only about making decisions that are economically viable, but also about considering sustainability and social aspects in the construction and real estate industry.
AutoESG stands for the automated sustainability assessment of real estate based on ESG factors. This project aims to develop a novel system for the automatic analysis of the ESG performance of existing and new buildings. This automated assessment system is intended to significantly reduce the high procurement costs for relevant data for assessing risks and benefits in ESG-friendly decisions. This will improve the ESG disclosure of buildings in the city and promote sustainable development in the real estate sector.
This research project is funded by the Bavarian State Ministry of Economic Affairs, Regional Development, and Energy and supported by Bayern Innovativ - Bavarian Society for Innovation and Knowledge Transfer mbH.
Prof. Dr. rer. pol. habil. Bing Zhu
- Tel.: +49 (89) 289 - 25434
- b.zhu@tum.de
M.Sc. Valentin Kaufmann
- Tel.: -
- valentin.kaufmann@tum.de
