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

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

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.

Suggested Citation

  • Shafiee Roudbari, Erfan & Kantor, Ivan & Menon, Ramanunni Parakkal & Eicker, Ursula, 2024. "Optimization-based decision support for designing industrial symbiosis district energy systems under uncertainty," Applied Energy, Elsevier, vol. 367(C).
    • Handle: RePEc:eee:appene:v:367:y:2024:i:c:s0306261924008018
    DOI: 10.1016/j.apenergy.2024.123418
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