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Open-source energy planning tool with easy-to-parameterize components for the conception of polygeneration systems

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  • Gopisetty, Satya
  • Treffinger, Peter
  • Reindl, Leonhard Michael

Abstract

Polygeneration systems are a key technology for the reduction of primary energy usage and emissions. High costs, lack of flexibility and effort for parameterization hinder the wide usage of modeling tools during their conceptual design. This paper describes how planning tools can be structured for the conceptual design phase where only little information is available to the planner. A library concept was developed using the principles of object-oriented modeling to address the flexibility issue. With respect to cost and expandability, the open-source modeling language Modelica was chosen. Furthermore, easy-to-parameterize component models were developed. In addition to the improved library concept and novel component models, an easy-to-adapt control concept is proposed. The component models were validated and the applicability of the library was demonstrated by means of an example. It was shown that the data usually obtained from spec sheets are sufficient to parameterize the models. In addition to this, the control concept was approved.

Suggested Citation

  • Gopisetty, Satya & Treffinger, Peter & Reindl, Leonhard Michael, 2017. "Open-source energy planning tool with easy-to-parameterize components for the conception of polygeneration systems," Energy, Elsevier, vol. 126(C), pages 756-765.
    • Handle: RePEc:eee:energy:v:126:y:2017:i:c:p:756-765
    DOI: 10.1016/j.energy.2017.03.013
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    References listed on IDEAS

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    Cited by:

    1. Ferrari, Mario L. & Silvestri, Paolo & Reggio, Federico & Massardo, Aristide F., 2018. "Surge prevention for gas turbines connected with large volume size: Experimental demonstration with a microturbine," Applied Energy, Elsevier, vol. 230(C), pages 1057-1064.
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    3. Jana, Kuntal & Ray, Avishek & Majoumerd, Mohammad Mansouri & Assadi, Mohsen & De, Sudipta, 2017. "Polygeneration as a future sustainable energy solution – A comprehensive review," Applied Energy, Elsevier, vol. 202(C), pages 88-111.
    4. Østergaard, Poul Alberg & Andersen, Anders N. & Sorknæs, Peter, 2022. "The business-economic energy system modelling tool energyPRO," Energy, Elsevier, vol. 257(C).

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