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Optimal Design on Fossil-to-Renewable Energy Transition of Regional Integrated Energy Systems under CO 2 Emission Abatement Control: A Case Study in Dalian, China

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  • Xinxin Liu

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116024, China)

  • Nan Li

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116024, China)

  • Feng Liu

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116024, China)

  • Hailin Mu

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116024, China)

  • Longxi Li

    (School of Economics and Management, China University of Geosciences, Wuhan 430074, China)

  • Xiaoyu Liu

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116024, China)

Abstract

Optimal design of regional integrated energy systems (RIES) offers great potential for better managing energy sources, lower costs and reducing environmental impact. To capture the transition process from fossil fuel to renewable energy, a flexible RIES, including the traditional energy system (TES) based on the coal and biomass based distributed energy system (BDES), was designed to meet a regional multiple energy demand. In this paper, we analyze multiple scenarios based on a new rural community in Dalian (China) to capture the relationship among the energy supply cost, increased share of biomass, system configuration transformation, and renewable subsidy according to regional CO 2 emission abatement control targets. A mixed integer linear programming (MILP) model was developed to find the optimal solutions. The results indicated that a 40.58% increase in the share of biomass in the RIES was the most cost-effective way as compared to the separate TES and BDES. Based on the RIES with minimal cost, by setting a CO 2 emission reduction control within 40%, the RIES could ensure a competitive total annual cost as compared to the TES. In addition, when the reduction control exceeds 40%, a subsidy of 53.83 to 261.26 RMB/t of biomass would be needed to cover the extra cost to further increase the share of biomass resource and decrease the CO 2 emission.

Suggested Citation

  • Xinxin Liu & Nan Li & Feng Liu & Hailin Mu & Longxi Li & Xiaoyu Liu, 2021. "Optimal Design on Fossil-to-Renewable Energy Transition of Regional Integrated Energy Systems under CO 2 Emission Abatement Control: A Case Study in Dalian, China," Energies, MDPI, vol. 14(10), pages 1-25, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2879-:d:556064
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    as
    1. Li, Longxi & Mu, Hailin & Gao, Weijun & Li, Miao, 2014. "Optimization and analysis of CCHP system based on energy loads coupling of residential and office buildings," Applied Energy, Elsevier, vol. 136(C), pages 206-216.
    2. 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.
    3. Remus Creţan & Lucian Vesalon, 2017. "The Political Economy of Hydropower in the Communist Space: Iron Gates Revisited," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 108(5), pages 688-701, October.
    4. Tang, Maogang & Li, Xiuzhen & Zhang, Yun & Wu, Yingtao & Wu, Baijun, 2020. "From command-and-control to market-based environmental policies: Optimal transition timing and China’s heterogeneous environmental effectiveness," Economic Modelling, Elsevier, vol. 90(C), pages 1-10.
    5. Wang, Chengshan & Lv, Chaoxian & Li, Peng & Song, Guanyu & Li, Shuquan & Xu, Xiandong & Wu, Jianzhong, 2018. "Modeling and optimal operation of community integrated energy systems: A case study from China," Applied Energy, Elsevier, vol. 230(C), pages 1242-1254.
    6. Soudan, Bassel, 2019. "Community-scale baseload generation from marine energy," Energy, Elsevier, vol. 189(C).
    7. Zhang, Zhihui & Jing, Rui & Lin, Jian & Wang, Xiaonan & van Dam, Koen H. & Wang, Meng & Meng, Chao & Xie, Shan & Zhao, Yingru, 2020. "Combining agent-based residential demand modeling with design optimization for integrated energy systems planning and operation," Applied Energy, Elsevier, vol. 263(C).
    8. Shen, Neng & Deng, Rumeng & Liao, Haolan & Shevchuk, Oleksandr, 2020. "Mapping renewable energy subsidy policy research published from 1997 to 2018: A scientometric review," Utilities Policy, Elsevier, vol. 64(C).
    9. Dong, Ruifeng & Yu, Yunsong & Zhang, Zaoxiao, 2014. "Simultaneous optimization of integrated heat, mass and pressure exchange network using exergoeconomic method," Applied Energy, Elsevier, vol. 136(C), pages 1098-1109.
    10. Sadi, Meisam & Chakravarty, Krishna Hara & Behzadi, Amirmohammad & Arabkoohsar, Ahmad, 2021. "Techno-economic-environmental investigation of various biomass types and innovative biomass-firing technologies for cost-effective cooling in India," Energy, Elsevier, vol. 219(C).
    11. Li, Longxi & Mu, Hailin & Li, Nan & Li, Miao, 2016. "Economic and environmental optimization for distributed energy resource systems coupled with district energy networks," Energy, Elsevier, vol. 109(C), pages 947-960.
    12. Li, Miao & Mu, Hailin & Li, Nan & Ma, Baoyu, 2016. "Optimal design and operation strategy for integrated evaluation of CCHP (combined cooling heating and power) system," Energy, Elsevier, vol. 99(C), pages 202-220.
    13. Oshiro, Ken & Fujimori, Shinichiro & Ochi, Yuki & Ehara, Tomoki, 2021. "Enabling energy system transition toward decarbonization in Japan through energy service demand reduction," Energy, Elsevier, vol. 227(C).
    14. Ren, Hongbo & Zhou, Weisheng & Nakagami, Ken'ichi & Gao, Weijun, 2010. "Integrated design and evaluation of biomass energy system taking into consideration demand side characteristics," Energy, Elsevier, vol. 35(5), pages 2210-2222.
    15. Li, Tianxiao & Liu, Pei & Li, Zheng, 2020. "Quantitative relationship between low-carbon pathways and system transition costs based on a multi-period and multi-regional energy infrastructure planning approach: A case study of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    16. Zhang, Weishi & Wang, Can & Zhang, Long & Xu, Ying & Cui, Yuanzheng & Lu, Zifeng & Streets, David G., 2018. "Evaluation of the performance of distributed and centralized biomass technologies in rural China," Renewable Energy, Elsevier, vol. 125(C), pages 445-455.
    17. Murugan, S. & Horák, Bohumil, 2016. "Tri and polygeneration systems - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1032-1051.
    18. Yang, Yun & Zhang, Shijie & Xiao, Yunhan, 2015. "Optimal design of distributed energy resource systems coupled with energy distribution networks," Energy, Elsevier, vol. 85(C), pages 433-448.
    19. Lei, Yunkai & Hou, Kai & Wang, Yue & Jia, Hongjie & Zhang, Pei & Mu, Yunfei & Jin, Xiaolong & Sui, Bingyan, 2018. "A new reliability assessment approach for integrated energy systems: Using hierarchical decoupling optimization framework and impact-increment based state enumeration method," Applied Energy, Elsevier, vol. 210(C), pages 1237-1250.
    20. Robertson Munro, Fiona & Cairney, Paul, 2020. "A systematic review of energy systems: The role of policymaking in sustainable transitions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    21. Wang, Hairong & Yan, Jianbo & Dong, Liang, 2016. "Simulation and economic evaluation of biomass gasification with sets for heating, cooling and power production," Renewable Energy, Elsevier, vol. 99(C), pages 360-368.
    22. Awasthi, Mukesh Kumar & Sarsaiya, Surendra & Patel, Anil & Juneja, Ankita & Singh, Rajendra Prasad & Yan, Binghua & Awasthi, Sanjeev Kumar & Jain, Archana & Liu, Tao & Duan, Yumin & Pandey, Ashok & Zh, 2020. "Refining biomass residues for sustainable energy and bio-products: An assessment of technology, its importance, and strategic applications in circular bio-economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    23. Wang, Qiang & Li, Shuyu & Pisarenko, Zhanna, 2020. "Heterogeneous effects of energy efficiency, oil price, environmental pressure, R&D investment, and policy on renewable energy -- evidence from the G20 countries," Energy, Elsevier, vol. 209(C).
    24. Molavi, Anahita & Lim, Gino J. & Shi, Jian, 2020. "Stimulating sustainable energy at maritime ports by hybrid economic incentives: A bilevel optimization approach," Applied Energy, Elsevier, vol. 272(C).
    25. Ellabban, Omar & Abu-Rub, Haitham & Blaabjerg, Frede, 2014. "Renewable energy resources: Current status, future prospects and their enabling technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 748-764.
    26. Saber, Hossein & Mazaheri, Hesam & Ranjbar, Hossein & Moeini-Aghtaie, Moein & Lehtonen, Matti, 2021. "Utilization of in-pipe hydropower renewable energy technology and energy storage systems in mountainous distribution networks," Renewable Energy, Elsevier, vol. 172(C), pages 789-801.
    27. Fragkos, Panagiotis & Laura van Soest, Heleen & Schaeffer, Roberto & Reedman, Luke & Köberle, Alexandre C. & Macaluso, Nick & Evangelopoulou, Stavroula & De Vita, Alessia & Sha, Fu & Qimin, Chai & Kej, 2021. "Energy system transitions and low-carbon pathways in Australia, Brazil, Canada, China, EU-28, India, Indonesia, Japan, Republic of Korea, Russia and the United States," Energy, Elsevier, vol. 216(C).
    28. Elkinton, Melissa R. & McGowan, Jon G. & Manwell, James F., 2009. "Wind power systems for zero net energy housing in the United States," Renewable Energy, Elsevier, vol. 34(5), pages 1270-1278.
    29. Wang, Jiang-Jiang & Xu, Zi-Long & Jin, Hong-Guang & Shi, Guo-hua & Fu, Chao & Yang, Kun, 2014. "Design optimization and analysis of a biomass gasification based BCHP system: A case study in Harbin, China," Renewable Energy, Elsevier, vol. 71(C), pages 572-583.
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