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Techno-economic optimization model for polygeneration hybrid energy storage systems using biogas and batteries

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  • Wegener, Moritz
  • Villarroel Schneider, J.
  • Malmquist, Anders
  • Isalgue, Antonio
  • Martin, Andrew
  • Martin, Viktoria

Abstract

Renewable energy polygeneration systems are a viable alternative to fossil-fuel based systems, but storage solutions may be necessary when aiming for high sustainability and autonomy. As each storage technology has different strengths and weaknesses, combinations of various storage solutions may lead to better techno-economic performance than singular approaches. To this purpose, an optimization model including a novel dispatch control strategy for a hybrid energy storage system (HESS) is proposed, which uses biogas for long-term and batteries for short-term storage. The model optimizes for minimum lifetime costs while exploiting the biomass resources with maximum efficiency and quantifying the additional solar and battery capacities needed. It is applied in a case study with an innovative biomass-based polygeneration system in a rural locality of Bolivia to serve electricity, potable water, and bio-slurry as fertilizer. The results indicate that even with maximized efficiency of the biomass resource conversion, large PV and battery capacities are necessary to satisfy the electricity demand of the locality. Despite of the high investment costs, the biomass-based polygeneration system would cost 22% less over the project lifetime than the fossil-fuel based reference system while being less dependent on fuel price changes. It would also reduce CO2-emissions by over 98%.

Suggested Citation

  • Wegener, Moritz & Villarroel Schneider, J. & Malmquist, Anders & Isalgue, Antonio & Martin, Andrew & Martin, Viktoria, 2021. "Techno-economic optimization model for polygeneration hybrid energy storage systems using biogas and batteries," Energy, Elsevier, vol. 218(C).
    • Handle: RePEc:eee:energy:v:218:y:2021:i:c:s0360544220326517
    DOI: 10.1016/j.energy.2020.119544
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    4. Younessi, Hiva Seyed & Bahramara, Salah & Adabi, Farid & Golpîra, Hêmin, 2023. "Modeling the optimal sizing problem of the biogas-based electrical generator in a livestock farm considering a gas storage tank and the anaerobic digester process under the uncertainty of cow dung," Energy, Elsevier, vol. 270(C).
    5. Renata Rodrigues Lautert & Wagner da Silva Brignol & Luciane Neves Canha & Olatunji Matthew Adeyanju & Vinícius Jacques Garcia, 2022. "A Flexible-Reliable Operation Model of Storage and Distributed Generation in a Biogas Power Plant," Energies, MDPI, vol. 15(9), pages 1-21, April.
    6. Huang, Xianlei & Wang, Shu & Shi, Zuliang & Fang, Linna & Yin, Changbin, 2022. "Challenges and strategies for biogas production in the circular agricultural waste utilization model: A case study in rural China," Energy, Elsevier, vol. 241(C).
    7. Mohammadpour, Mohammadreza & Ashjaee, Mehdi & Houshfar, Ehsan, 2022. "Thermal performance and heat transfer characteristics analyses of oxy-biogas combustion in a swirl stabilized boiler under various oxidizing environments," Energy, Elsevier, vol. 261(PA).

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