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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

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  • Li, Tianxiao
  • Liu, Pei
  • Li, Zheng

Abstract

Low-carbon transition would trigger huge costs from reshaping complex energy systems due to large-scale renewable energy investment and early retirement of fossil-energy infrastructure. Reducing costs is challenging, because multiple transition pathways, comprised of massive transition policies and their schedule and pace, would lead to variation on system transition costs, despite achieving the same transition degree. In this paper, we aim to explore a proper pathway with lower costs towards the same transition degree, whilst previous studies focus on impacts of achieving different transition targets. A multi-regional, multi-period, infrastructure-based model is applied to quantify system transition costs, and China is taken as a case study. Scenarios, describing representative pathways to the same transition degree, are designed to establish quantitative relationship between pathways and costs. Results show that, for coal-dominated countries, approaching marginal cost balance of deep electrification and intensive non-fossil power penetration would lead to lower costs. An improper pathway would raise system transition costs up by 17% than a proper pathway we present, whilst this proper pathway would still lead to 35% more costs than the reference scenario. Furthermore, specific infrastructure deployment recommendations are discussed to make the pathway feasible and executive.

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  • 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).
  • Handle: RePEc:eee:rensus:v:134:y:2020:i:c:s1364032120304500
    DOI: 10.1016/j.rser.2020.110159
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    as
    1. Komiyama, Ryoichi & Otsuki, Takashi & Fujii, Yasumasa, 2015. "Energy modeling and analysis for optimal grid integration of large-scale variable renewables using hydrogen storage in Japan," Energy, Elsevier, vol. 81(C), pages 537-555.
    2. Emodi, Nnaemeka Vincent & Emodi, Chinenye Comfort & Murthy, Girish Panchakshara & Emodi, Adaeze Saratu Augusta, 2017. "Energy policy for low carbon development in Nigeria: A LEAP model application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 247-261.
    3. Mou, Dunguo & Li, Zhi, 2012. "A spatial analysis of China's coal flow," Energy Policy, Elsevier, vol. 48(C), pages 358-368.
    4. Zhang, Hongjun & Chen, Wenying & Huang, Weilong, 2016. "TIMES modelling of transport sector in China and USA: Comparisons from a decarbonization perspective," Applied Energy, Elsevier, vol. 162(C), pages 1505-1514.
    5. Liu, Lirong & Huang, Charley Z. & Huang, Guohe & Baetz, Brian & Pittendrigh, Scott M., 2018. "How a carbon tax will affect an emission-intensive economy: A case study of the Province of Saskatchewan, Canada," Energy, Elsevier, vol. 159(C), pages 817-826.
    6. Wang, Peng & Dai, Han-cheng & Ren, Song-yan & Zhao, Dai-qing & Masui, Toshihiko, 2015. "Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China," Energy, Elsevier, vol. 79(C), pages 212-227.
    7. Sadiqa, Ayesha & Gulagi, Ashish & Breyer, Christian, 2018. "Energy transition roadmap towards 100% renewable energy and role of storage technologies for Pakistan by 2050," Energy, Elsevier, vol. 147(C), pages 518-533.
    8. Reuß, Markus & Grube, Thomas & Robinius, Martin & Stolten, Detlef, 2019. "A hydrogen supply chain with spatial resolution: Comparative analysis of infrastructure technologies in Germany," Applied Energy, Elsevier, vol. 247(C), pages 438-453.
    9. Zhang, Ning & Hu, Zhaoguang & Shen, Bo & He, Gang & Zheng, Yanan, 2017. "An integrated source-grid-load planning model at the macro level: Case study for China's power sector," Energy, Elsevier, vol. 126(C), pages 231-246.
    10. Guo, Zheng & Ma, Linwei & Liu, Pei & Jones, Ian & Li, Zheng, 2016. "A multi-regional modelling and optimization approach to China's power generation and transmission planning," Energy, Elsevier, vol. 116(P2), pages 1348-1359.
    11. Li, Tianxiao & Li, Zheng & Li, Weiqi, 2020. "Scenarios analysis on the cross-region integrating of renewable power based on a long-period cost-optimization power planning model," Renewable Energy, Elsevier, vol. 156(C), pages 851-863.
    12. Wesseh, Presley K. & Lin, Boqiang & Atsagli, Philip, 2017. "Carbon taxes, industrial production, welfare and the environment," Energy, Elsevier, vol. 123(C), pages 305-313.
    13. Kumar Biswajit Debnath & Monjur Mourshed, 2018. "Challenges and gaps for energy planning models in the developing-world context," Nature Energy, Nature, vol. 3(3), pages 172-184, March.
    14. Jaramillo, Paulina & Samaras, Constantine & Wakeley, Heather & Meisterling, Kyle, 2009. "Greenhouse gas implications of using coal for transportation: Life cycle assessment of coal-to-liquids, plug-in hybrids, and hydrogen pathways," Energy Policy, Elsevier, vol. 37(7), pages 2689-2695, July.
    15. Becker, S. & Rodriguez, R.A. & Andresen, G.B. & Schramm, S. & Greiner, M., 2014. "Transmission grid extensions during the build-up of a fully renewable pan-European electricity supply," Energy, Elsevier, vol. 64(C), pages 404-418.
    16. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Kopanos, Georgios M. & Pistikopoulos, Efstratios N. & Georgiadis, Michael C., 2014. "A spatial multi-period long-term energy planning model: A case study of the Greek power system," Applied Energy, Elsevier, vol. 115(C), pages 456-482.
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    4. Yuancheng Lin & Honghua Yang & Linwei Ma & Zheng Li & Weidou Ni, 2021. "Low-Carbon Development for the Iron and Steel Industry in China and the World: Status Quo, Future Vision, and Key Actions," Sustainability, MDPI, vol. 13(22), pages 1-28, November.

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