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

Author

Listed:
  • Kerem Yavuz Arslanli
  • Ayse Buket Onem
  • Cemre Ozipek
  • Maide Donmez
  • Belinay Hira Guney
  • Maral Tascilar

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.

Suggested Citation

  • Kerem Yavuz Arslanli & Ayse Buket Onem & Cemre Ozipek & Maide Donmez & Belinay Hira Guney & Maral Tascilar, 2024. "Demand Modeling for Low Carbon Investments of the Real Estate Sector in Post-Disaster Settlements," ERES eres2024-051, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2024-051
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    More about this item

    Keywords

    Energy Demand Modelling; low carbon; Post-Disaster Settlements;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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