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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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    1. Mirakyan, Atom & De Guio, Roland, 2013. "Integrated energy planning in cities and territories: A review of methods and tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 289-297.
    2. Yun, Kyung Tae & Cho, Heejin & Luck, Rogelio & Mago, Pedro J., 2013. "Modeling of reciprocating internal combustion engines for power generation and heat recovery," Applied Energy, Elsevier, vol. 102(C), pages 327-335.
    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    4. Ferrari, Mario L. & Traverso, Alberto & Massardo, Aristide F., 2016. "Smart polygeneration grids: experimental performance curves of different prime movers," Applied Energy, Elsevier, vol. 162(C), pages 622-630.
    5. Manfren, Massimiliano & Caputo, Paola & Costa, Gaia, 2011. "Paradigm shift in urban energy systems through distributed generation: Methods and models," Applied Energy, Elsevier, vol. 88(4), pages 1032-1048, April.
    6. Prasad, Ravita D. & Bansal, R.C. & Raturi, Atul, 2014. "Multi-faceted energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 686-699.
    7. Huang, Zishuo & Yu, Hang & Peng, Zhenwei & Zhao, Mei, 2015. "Methods and tools for community energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1335-1348.
    8. W. D. Steinmann, 2006. "Development and application of the Modelica library TechThermo," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 12(1), pages 51-72, February.
    9. Serra, Luis M. & Lozano, Miguel-Angel & Ramos, Jose & Ensinas, Adriano V. & Nebra, Silvia A., 2009. "Polygeneration and efficient use of natural resources," Energy, Elsevier, vol. 34(5), pages 575-586.
    10. Mendes, Gonçalo & Ioakimidis, Christos & Ferrão, Paulo, 2011. "On the planning and analysis of Integrated Community Energy Systems: A review and survey of available tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4836-4854.
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    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. Østergaard, Poul Alberg & Andersen, Anders N. & Sorknæs, Peter, 2022. "The business-economic energy system modelling tool energyPRO," Energy, Elsevier, vol. 257(C).
    4. 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.

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