Optimization-based decision support for designing industrial symbiosis district energy systems under uncertainty

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

Applied Energy, 2024, vol. 367, issue C, No S0306261924008018

Abstract: In the face of climate change, energy efficiency has become an urgent global concern. Exchanging energy between industrial sectors and urban buildings offers a promising avenue to enhance efficiency, mainly through energy exchange. This study establishes a generic method to facilitate designing optimal energy usage for districts with residential and industrial/commercial stakeholders in close proximity. Specifically, it focuses on harnessing industrial excess heat to meet the space heating needs of neighboring buildings. Given pervasive uncertainty in numerous parameters, a thorough global sensitivity analysis demonstrates the significant influence of specific factors, enabling the selection of more robust solutions by considering uncertainty in the most impactful parameters.

Keywords: Sustainable energy consumption; Urban industrial symbiosis; Excess heat recovery; Mathematical optimization; Global sensitivity analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2024.123418

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