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Towards low carbon business park energy systems: Classification of techno-economic energy models

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  • Timmerman, Jonas
  • Vandevelde, Lieven
  • Van Eetvelde, Greet

Abstract

To mitigate climate destabilisation, human-induced greenhouse gas emissions urgently need to be curbed. A major share of these emissions originates from the industry and energy sectors. Hence, a low carbon shift in industrial and business park energy systems is called for. Low carbon business parks minimise energy-related carbon dioxide emissions by maximal exploitation of local renewable energy production, enhanced energy efficiency, and inter-firm heat exchange, combined in a collective energy system. The holistic approach of techno-economic energy models facilitates the design of such systems, while yielding an optimal trade-off between energetic, economic and environmental performances. However, no models custom-tailored for industrial park energy systems are detected in literature. In this paper, existing energy model classifications are scanned for adequate model characteristics and accordingly, a confined number of models are selected and described. Subsequently, a practical typology is proposed, existing of energy system evolution, optimisation, simulation, accounting and integration models, and key model features are compared. Finally, important features for a business park energy model are identified.

Suggested Citation

  • Timmerman, Jonas & Vandevelde, Lieven & Van Eetvelde, Greet, 2014. "Towards low carbon business park energy systems: Classification of techno-economic energy models," Energy, Elsevier, vol. 75(C), pages 68-80.
  • Handle: RePEc:eee:energy:v:75:y:2014:i:c:p:68-80
    DOI: 10.1016/j.energy.2014.05.092
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    6. Lukáš Rečka & Milan Ščasný, 2017. "Impacts of Reclassified Brown Coal Reserves on the Energy System and Deep Decarbonisation Target in the Czech Republic," Energies, MDPI, vol. 10(12), pages 1-27, November.
    7. Dennis Dreier & Mark Howells, 2019. "OSeMOSYS-PuLP: A Stochastic Modeling Framework for Long-Term Energy Systems Modeling," Energies, MDPI, vol. 12(7), pages 1-26, April.
    8. Hall, Lisa M.H. & Buckley, Alastair R., 2016. "A review of energy systems models in the UK: Prevalent usage and categorisation," Applied Energy, Elsevier, vol. 169(C), pages 607-628.
    9. Nadia S. Ouedraogo, 2017. "Modeling sustainable long-term electricity supply-demand in Africa," WIDER Working Paper Series wp-2017-23, World Institute for Development Economic Research (UNU-WIDER).
    10. Talaei, Alireza & Pier, David & Iyer, Aishwarya V. & Ahiduzzaman, Md & Kumar, Amit, 2019. "Assessment of long-term energy efficiency improvement and greenhouse gas emissions mitigation options for the cement industry," Energy, Elsevier, vol. 170(C), pages 1051-1066.
    11. Timmerman, Jonas & Hennen, Maike & Bardow, André & Lodewijks, Pieter & Vandevelde, Lieven & Van Eetvelde, Greet, 2017. "Towards low carbon business park energy systems: A holistic techno-economic optimisation model," Energy, Elsevier, vol. 125(C), pages 747-770.
    12. Rečka, L. & Ščasný, M., 2016. "Impacts of carbon pricing, brown coal availability and gas cost on Czech energy system up to 2050," Energy, Elsevier, vol. 108(C), pages 19-33.
    13. Ouedraogo, Nadia S., 2017. "Modeling sustainable long-term electricity supply-demand in Africa," Applied Energy, Elsevier, vol. 190(C), pages 1047-1067.

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