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Technology pathways for industrial cogeneration systems: Optimal investment planning considering long-term trends

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  • Hoettecke, Lukas
  • Schuetz, Thomas
  • Thiem, Sebastian
  • Niessen, Stefan

Abstract

Cogeneration plants appear highly attractive for industrial companies as production sites typically combine demands for electricity, heating, and cooling. However, gas-fired cogeneration might become economically less attractive with further increasing carbon prices and companies’ commitment to decarbonization targets. This paper proposes a methodology to determine technology pathways from an optimization model. Technology pathways describe the evolution of an energy supply system over a multi-decade planning horizon. Therefore, projected long-term trends are integrated into the decision-making process for energy supply infrastructure. Three investment strategies are compared regarding their accuracy and computational complexity. The methodology is illustrated for industrial sites from dairy, pharmaceutical and automotive industry in Southern Germany. Results highlight the advantages of technology pathways compared to optimization approaches based on a representative year. A strategic planning approach identifies optimal decarbonization pathways with economic saving potentials of up to 20 %. For most of the considered case studies, a sequential decision approach with a rolling horizon heuristic yields similar results in 89 % less solving time.

Suggested Citation

  • Hoettecke, Lukas & Schuetz, Thomas & Thiem, Sebastian & Niessen, Stefan, 2022. "Technology pathways for industrial cogeneration systems: Optimal investment planning considering long-term trends," Applied Energy, Elsevier, vol. 324(C).
  • Handle: RePEc:eee:appene:v:324:y:2022:i:c:s0306261922009734
    DOI: 10.1016/j.apenergy.2022.119675
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    1. Stadler, Michael & Cardoso, Gonçalo & Mashayekh, Salman & Forget, Thibault & DeForest, Nicholas & Agarwal, Ankit & Schönbein, Anna, 2016. "Value streams in microgrids: A literature review," Applied Energy, Elsevier, vol. 162(C), pages 980-989.
    2. Philipp, Matthias & Schumm, Gregor & Peesel, Ron-Hendrik & Walmsley, Timothy G. & Atkins, Martin J. & Schlosser, Florian & Hesselbach, Jens, 2018. "Optimal energy supply structures for industrial food processing sites in different countries considering energy transitions," Energy, Elsevier, vol. 146(C), pages 112-123.
    3. Bohlayer, Markus & Bürger, Adrian & Fleschutz, Markus & Braun, Marco & Zöttl, Gregor, 2021. "Multi-period investment pathways - Modeling approaches to design distributed energy systems under uncertainty," Applied Energy, Elsevier, vol. 285(C).
    4. Trotter, Philipp A. & Cooper, Nathanial J. & Wilson, Peter R., 2019. "A multi-criteria, long-term energy planning optimisation model with integrated on-grid and off-grid electrification – The case of Uganda," Applied Energy, Elsevier, vol. 243(C), pages 288-312.
    5. Wei, Jingdong & Zhang, Yao & Wang, Jianxue & Cao, Xiaoyu & Khan, Muhammad Armoghan, 2020. "Multi-period planning of multi-energy microgrid with multi-type uncertainties using chance constrained information gap decision method," Applied Energy, Elsevier, vol. 260(C).
    6. Lopion, Peter & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "A review of current challenges and trends in energy systems modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 156-166.
    7. Pecenak, Zachary K. & Stadler, Michael & Fahy, Kelsey, 2019. "Efficient multi-year economic energy planning in microgrids," Applied Energy, Elsevier, vol. 255(C).
    8. Wallerand, Anna S. & Kermani, Maziar & Kantor, Ivan & Maréchal, François, 2018. "Optimal heat pump integration in industrial processes," Applied Energy, Elsevier, vol. 219(C), pages 68-92.
    9. Thiem, Sebastian & Danov, Vladimir & Metzger, Michael & Schäfer, Jochen & Hamacher, Thomas, 2017. "Project-level multi-modal energy system design - Novel approach for considering detailed component models and example case study for airports," Energy, Elsevier, vol. 133(C), pages 691-709.
    10. Chang, Miguel & Thellufsen, Jakob Zink & Zakeri, Behnam & Pickering, Bryn & Pfenninger, Stefan & Lund, Henrik & Østergaard, Poul Alberg, 2021. "Trends in tools and approaches for modelling the energy transition," Applied Energy, Elsevier, vol. 290(C).
    11. Prina, Matteo Giacomo & Lionetti, Matteo & Manzolini, Giampaolo & Sparber, Wolfram & Moser, David, 2019. "Transition pathways optimization methodology through EnergyPLAN software for long-term energy planning," Applied Energy, Elsevier, vol. 235(C), pages 356-368.
    12. Mavromatidis, Georgios & Petkov, Ivalin, 2021. "MANGO: A novel optimization model for the long-term, multi-stage planning of decentralized multi-energy systems," Applied Energy, Elsevier, vol. 288(C).
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