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

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

Energy, 2025, vol. 335, issue C

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.

Keywords: Urban industrial symbiosis; Mathematical programming; Data centre; Heat recovery; Heating network; Optimisation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:335:y:2025:i:c:s0360544225035443

DOI: 10.1016/j.energy.2025.137902

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