Demand Modeling for Low Carbon Investments of the Real Estate Sector in Post-Disaster Settlements

Kerem Yavuz Arslanli, Ayse Buket Onem, Cemre Ozipek, Maide Donmez, Belinay Hira Guney and Maral Tascilar

ERES from European Real Estate Society (ERES)

Abstract: The research focuses on creating an estimation tool designed to automatically evaluate both environmental and economic benefits arising from low-carbon investments in the real estate sector, with a particular emphasis on large building stocks. The tool offers a swift and dependable assessment of energy consumption related to heating, hot water, cooling, and electricity in buildings, considering specific features like building geometry and orientation.Assessing a building's energy demand involves comparing the existing state (pre-retrofit) and the proposed design (post-retrofit). The annual energy savings and net monetary gains achieved over the entire investment cost will be attributed to the renovation investment after a predefined period. This tool is poised to streamline the evaluation process for the impact of low-carbon initiatives in real estate, providing valuable insights into the potential environmental and economic advantages of such investments. Ultimately, it aims to facilitate informed decision-making for stakeholders involved in large-scale building renovations, contributing to a more sustainable and economically viable real estate sector.

Keywords: Energy Demand Modelling; low carbon; Post-Disaster Settlements (search for similar items in EconPapers)
JEL-codes: R3 (search for similar items in EconPapers)
Date: 2024-01-01
New Economics Papers: this item is included in nep-ene, nep-env and nep-ure
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