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Optimal planning of local biomass-based integrated energy system considering anaerobic co-digestion

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  • Yang, Hanyu
  • Dou, Xun
  • Pan, Feng
  • Wu, Qiuwei
  • Li, Canbing
  • Zhou, Bin
  • Hao, Lili

Abstract

The biomass resource is very abundant in rural areas because of diverse agricultural activities, which enables the biogas to substitute the natural gas for the energy supply in where the natural gas network cannot extend. Thanks to the flexibility of biogas whose physical characteristic is similar to natural gas, it can not only power the biogas-based generators in the power distribution system but also meet the local biogas demand through a local biogas grid, finally formulating a distributed local biomass-based integrated energy system (IES). In such a system, proper anaerobic digestion (AD) plants planning is of great importance as the cost of transporting biomass feedstock is costly due to its high weight per unit of energy generated. Conventional AD plants planning is usually formulated as optimization problems of biomass supply chain whose focus is the planning of the transportation routes from biomass supply node to the AD plants, neglecting the downstream of the supply chain from the AD plants to the end-users. In this paper, a novel comprehensive optimization model formulated as a mixed-integer second-order-cone problem (MISOCP) is proposed to minimize the total investment and energy supply costs of the local biomass-based IES and to determine the networks of local biogas grid, to plan facilities, e.g., biogas-based generators and AD plants, and to optimize biomass transportation routes. with consideration of the network physical characteristics. Additionally, considering the anaerobic co-digestion (AcoD) technology has better performance on biogas yield compared to anaerobic mono-digestion (AmoD), a strategy is developed to choose mono-digestion or co-digestion system for AD plants as well. This model is demonstrated with a real-world test system, and an environmental and economic assessment for evaluating the profitability of each AD plant is presented. The planning results showed that AcoD plant is most cost-competitive when the food waste and animal manure are locally-sufficient.

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  • Yang, Hanyu & Dou, Xun & Pan, Feng & Wu, Qiuwei & Li, Canbing & Zhou, Bin & Hao, Lili, 2022. "Optimal planning of local biomass-based integrated energy system considering anaerobic co-digestion," Applied Energy, Elsevier, vol. 316(C).
    • Handle: RePEc:eee:appene:v:316:y:2022:i:c:s0306261922004652
    DOI: 10.1016/j.apenergy.2022.119075
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    1. Jensen, Ida Græsted & Münster, Marie & Pisinger, David, 2017. "Optimizing the supply chain of biomass and biogas for a single plant considering mass and energy losses," European Journal of Operational Research, Elsevier, vol. 262(2), pages 744-758.
    2. Bramstoft, Rasmus & Pizarro-Alonso, Amalia & Jensen, Ida Græsted & Ravn, Hans & Münster, Marie, 2020. "Modelling of renewable gas and renewable liquid fuels in future integrated energy systems," Applied Energy, Elsevier, vol. 268(C).
    3. Chen, Qiu & Liu, Tianbiao, 2017. "Biogas system in rural China: Upgrading from decentralized to centralized?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 933-944.
    4. O'Shea, Richard & Wall, David M. & Kilgallon, Ian & Browne, James D. & Murphy, Jerry D., 2017. "Assessing the total theoretical, and financially viable, resource of biomethane for injection to a natural gas network in a region," Applied Energy, Elsevier, vol. 188(C), pages 237-256.
    5. Valenti, Francesca & Porto, Simona M.C. & Dale, Bruce E. & Liao, Wei, 2018. "Spatial analysis of feedstock supply and logistics to establish regional biogas power generation: A case study in the region of Sicily," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 50-63.
    6. Soltero, V.M. & Chacartegui, R. & Ortiz, C. & Velázquez, R., 2018. "Potential of biomass district heating systems in rural areas," Energy, Elsevier, vol. 156(C), pages 132-143.
    7. Conrado Borraz-Sánchez & Russell Bent & Scott Backhaus & Hassan Hijazi & Pascal Van Hentenryck, 2016. "Convex Relaxations for Gas Expansion Planning," INFORMS Journal on Computing, INFORMS, vol. 28(4), pages 645-656, November.
    8. Akhtari, Shaghaygh & Sowlati, Taraneh & Griess, Verena C., 2018. "Integrated strategic and tactical optimization of forest-based biomass supply chains to consider medium-term supply and demand variations," Applied Energy, Elsevier, vol. 213(C), pages 626-638.
    9. Picardo, Alberto & Soltero, Victor M. & Peralta, M. Estela & Chacartegui, Ricardo, 2019. "District heating based on biogas from wastewater treatment plant," Energy, Elsevier, vol. 180(C), pages 649-664.
    10. Samsatli, Sheila & Samsatli, Nouri J. & Shah, Nilay, 2015. "BVCM: A comprehensive and flexible toolkit for whole system biomass value chain analysis and optimisation – Mathematical formulation," Applied Energy, Elsevier, vol. 147(C), pages 131-160.
    11. Zhang, Fengli & Johnson, Dana & Johnson, Mark & Watkins, David & Froese, Robert & Wang, Jinjiang, 2016. "Decision support system integrating GIS with simulation and optimisation for a biofuel supply chain," Renewable Energy, Elsevier, vol. 85(C), pages 740-748.
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    1. Ju, Liwei & Lu, Xiaolong & Yang, Shenbo & Li, Gen & Fan, Wei & Pan, Yushu & Qiao, Huiting, 2022. "A multi-time scale dispatching optimal model for rural biomass waste energy conversion system-based micro-energy grid considering multi-energy demand response," Applied Energy, Elsevier, vol. 327(C).
    2. Yang, Shenbo & Fang, Jiangpeng & Zhang, Zheyu & Lv, ShuoShuo & Lin, Hongyu & Ju, Liwei, 2024. "Two-stage coordinated optimal dispatching model and benefit allocation strategy for rural new energy microgrid," Energy, Elsevier, vol. 292(C).
    3. Ronei de Almeida & Claudinei de Souza Guimarães, 2023. "A Short Review on Dye-Wastewater Valorization Using Up-Flow Anaerobic Sludge Blanket Reactors," Waste, MDPI, vol. 1(4), pages 1-17, November.
    4. Yunusoglu, Pinar & Ozsoydan, Fehmi Burcin & Bilgen, Bilge, 2024. "A machine learning-based two-stage approach for the location of undesirable facilities in the biomass-to-bioenergy supply chain," Applied Energy, Elsevier, vol. 362(C).
    5. Wang, Pengya & Wang, Jianxiao & Jin, Ruiyang & Li, Gengyin & Zhou, Ming & Xia, Qing, 2022. "Integrating biogas in regional energy systems to achieve near-zero carbon emissions," Applied Energy, Elsevier, vol. 322(C).
    6. Akter, Mst. Mahmoda & Surovy, Israt Zahan & Sultana, Nazmin & Faruk, Md. Omar & Gilroyed, Brandon H. & Tijing, Leonard & Arman, & Didar-ul-Alam, Md. & Shon, Ho Kyong & Nam, Sang Yong & Kabir, Mohammad, 2024. "Techno-economics and environmental sustainability of agricultural biomass-based energy potential," Applied Energy, Elsevier, vol. 359(C).

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