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Optimization of a flexible multi-generation system based on wood chip gasification and methanol production

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  • Lythcke-Jørgensen, Christoffer
  • Clausen, Lasse Røngaard
  • Algren, Loui
  • Hansen, Anders Bavnhøj
  • Münster, Marie
  • Gadsbøll, Rasmus Østergaard
  • Haglind, Fredrik

Abstract

Flexible multi-generation systems (FMGs) consist of integrated and flexibly operated facilities that provide multiple links between the different sectors of the energy system. The present study treated the design optimization of a conceptual FMG which integrated a methanol-producing biorefinery with an existing combined heat and power (CHP) unit and industrial energy utility supply in the Danish city of Horsens. The objective was to optimize economic performance and minimize total CO2 emission of the FMG while it was required to meet the local district heating demand plus the thermal utility demand of the butchery. The design optimization considered: Selection, dimensioning, location and integration of processes; operation optimization with respect to both hourly variations in operating conditions over the year as well as expected long term energy system development; and uncertainty analysis considering both investment costs and operating conditions.

Suggested Citation

  • Lythcke-Jørgensen, Christoffer & Clausen, Lasse Røngaard & Algren, Loui & Hansen, Anders Bavnhøj & Münster, Marie & Gadsbøll, Rasmus Østergaard & Haglind, Fredrik, 2017. "Optimization of a flexible multi-generation system based on wood chip gasification and methanol production," Applied Energy, Elsevier, vol. 192(C), pages 337-359.
    • Handle: RePEc:eee:appene:v:192:y:2017:i:c:p:337-359
    DOI: 10.1016/j.apenergy.2016.08.092
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    2. Tan, Qinliang & Wang, Tingran & Zhang, Yimei & Miao, Xinyan & Zhu, Jun, 2017. "Nonlinear multi-objective optimization model for a biomass direct-fired power generation supply chain using a case study in China," Energy, Elsevier, vol. 139(C), pages 1066-1079.
    3. Calise, Francesco & de Notaristefani di Vastogirardi, Giulio & Dentice d'Accadia, Massimo & Vicidomini, Maria, 2018. "Simulation of polygeneration systems," Energy, Elsevier, vol. 163(C), pages 290-337.
    4. Yifan Wang & Laurence A. Wright, 2021. "A Comparative Review of Alternative Fuels for the Maritime Sector: Economic, Technology, and Policy Challenges for Clean Energy Implementation," World, MDPI, vol. 2(4), pages 1-26, October.
    5. Kim, Dongin & Han, Jeehoon, 2020. "Techno-economic and climate impact analysis of carbon utilization process for methanol production from blast furnace gas over Cu/ZnO/Al2O3 catalyst," Energy, Elsevier, vol. 198(C).
    6. Sveinbjörnsson, Dadi & Ben Amer-Allam, Sara & Hansen, Anders Bavnhøj & Algren, Loui & Pedersen, Allan Schrøder, 2017. "Energy supply modelling of a low-CO2 emitting energy system: Case study of a Danish municipality," Applied Energy, Elsevier, vol. 195(C), pages 922-941.
    7. Sigurjonsson, Hafthor Ægir & Clausen, Lasse R., 2018. "Solution for the future smart energy system: A polygeneration plant based on reversible solid oxide cells and biomass gasification producing either electrofuel or power," Applied Energy, Elsevier, vol. 216(C), pages 323-337.

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