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A systematic process integration framework for the optimal design and techno-economic performance analysis of energy supply and CO2 mitigation strategies

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  • Han, Jee-Hoon
  • Lee, In-Beum

Abstract

Most industries consume a large amount of energy to produce goods and to reduce the resultant CO2 emissions. We develop a systematic process integration framework for the optimal design and techno-economic performance analysis of energy supply and CO2 mitigation strategies. We first generate an Integrated Energy Supply and CO2 Mitigation Network (IESCMN), which includes three processes, each of which consists of a large number of technologies. This model allows identification of energy requirements (sinks) and unused energy sources of the technologies. Developing an optimization model for the IESCMN allows identification of a promising strategy to minimize energy cost, because sources and sinks can be connected to each other to transfer unused energy. Our techno-economic analysis results show that the IESCMN results in a considerable decrease in energy cost, compared to the individual operation of each technology.

Suggested Citation

  • Han, Jee-Hoon & Lee, In-Beum, 2014. "A systematic process integration framework for the optimal design and techno-economic performance analysis of energy supply and CO2 mitigation strategies," Applied Energy, Elsevier, vol. 125(C), pages 136-146.
    • Handle: RePEc:eee:appene:v:125:y:2014:i:c:p:136-146
    DOI: 10.1016/j.apenergy.2014.03.057
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    References listed on IDEAS

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    Cited by:

    1. Hwangbo, Soonho & Lee, In-Beum & Han, Jeehoon, 2017. "Mathematical model to optimize design of integrated utility supply network and future global hydrogen supply network under demand uncertainty," Applied Energy, Elsevier, vol. 195(C), pages 257-267.
    2. Bhowmik, Chiranjib & Bhowmik, Sumit & Ray, Amitava & Pandey, Krishna Murari, 2017. "Optimal green energy planning for sustainable development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 796-813.
    3. Hwangbo, Soonho & Lee, In-Beum & Han, Jeehoon, 2016. "Multi-period stochastic mathematical model for the optimal design of integrated utility and hydrogen supply network under uncertainty in raw material prices," Energy, Elsevier, vol. 114(C), pages 418-430.
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    5. Ahn, Yu-Chan & Lee, In-Beum & Lee, Kun-Hong & Han, Jee-Hoon, 2015. "Strategic planning design of microalgae biomass-to-biodiesel supply chain network: Multi-period deterministic model," Applied Energy, Elsevier, vol. 154(C), pages 528-542.
    6. Atabay, Dennis, 2017. "An open-source model for optimal design and operation of industrial energy systems," Energy, Elsevier, vol. 121(C), pages 803-821.

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