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Optimization of energy system retrofitting in urban industrial symbiosis: A case study of heat recovery from a data center

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  • Shafiee Roudbari, Erfan
  • Kantor, Ivan
  • Parakkal Menon, Ramanunni
  • Eicker, Ursula

Abstract

As the effects of climate change increase, building energy system retrofits become increasingly essential for reducing global emissions. This study introduces an optimization tool designed to assist energy system designers in selecting the most efficient heating options for retrofitting buildings, while also enabling decision-makers to understand the financial and environmental implications of various solutions. The methodology employs a series of mathematical models optimized sequentially to determine optimal design parameters, including system type, sizing, and the design of heat recovery networks.

Suggested Citation

  • Shafiee Roudbari, Erfan & Kantor, Ivan & Parakkal Menon, Ramanunni & Eicker, Ursula, 2025. "Optimization of energy system retrofitting in urban industrial symbiosis: A case study of heat recovery from a data center," Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225035443
    DOI: 10.1016/j.energy.2025.137902
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    References listed on IDEAS

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