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Analysis of interconnecting energy systems over a synchronized life cycle

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  • Nian, Victor

Abstract

Life cycle analysis (LCA) using the process chain analysis (PCA) approach has been widely applied to energy systems. When applied to an individual energy system, such as coal or nuclear electricity generation, an LCA–PCA methodology can yield relatively accurate results with its detailed process representation based on engineering data. However, there are fundamental issues when applying conventional LCA–PCA methodology to a more complex life cycle, namely, a synchronized life cycle of interconnected energy systems. A synchronized life cycle of interconnected energy systems is established through direct interconnections among the processes of different energy systems, and all interconnecting systems are bounded within the same timeframe. Under such a life cycle formation, there are some major complications when applying conventional LCA–PCA methodology to evaluate the interconnecting energy systems. Essentially, the conventional system and boundary formulations developed for a life cycle of individual energy system cannot be directly applied to a life cycle of interconnected energy systems. To address these inherent issues, a new LCA–PCA methodology is presented in this paper, in which a new concept of partial temporal boundary is introduced to synchronize the interconnecting energy systems. The importance and advantages of these new developments are demonstrated through a case study on the life cycle of the coal–uranium system.

Suggested Citation

  • Nian, Victor, 2016. "Analysis of interconnecting energy systems over a synchronized life cycle," Applied Energy, Elsevier, vol. 165(C), pages 1024-1036.
  • Handle: RePEc:eee:appene:v:165:y:2016:i:c:p:1024-1036
    DOI: 10.1016/j.apenergy.2015.12.006
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    2. Nian, Victor & Jindal, Gautam & Li, Hailong, 2019. "A feasibility study on integrating large-scale battery energy storage systems with combined cycle power generation – Setting the bottom line," Energy, Elsevier, vol. 185(C), pages 396-408.
    3. Yabo Wang & Victor Nian & Hailong Li & Jun Yuan, 2018. "Life Cycle Analysis of Integrated Gasification Combined Cycle Power Generation in the Context of Southeast Asia," Energies, MDPI, vol. 11(6), pages 1-18, June.
    4. Nian, Victor & Mignacca, Benito & Locatelli, Giorgio, 2022. "Policies toward net-zero: Benchmarking the economic competitiveness of nuclear against wind and solar energy," Applied Energy, Elsevier, vol. 320(C).
    5. Nian, Victor, 2016. "Impacts of changing design considerations on the life cycle carbon emissions of solar photovoltaic systems," Applied Energy, Elsevier, vol. 183(C), pages 1471-1487.
    6. Wang, Yabo & Liu, Shengchun & Nian, Victor & Li, Xueqiang & Yuan, Jun, 2019. "Life cycle cost-benefit analysis of refrigerant replacement based on experience from a supermarket project," Energy, Elsevier, vol. 187(C).
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    8. Dong, Haiyan & Fu, Yanbo & Jia, Qingquan & Zhang, Tie & Meng, Dequn, 2023. "Low carbon optimization of integrated energy microgrid based on life cycle analysis method and multi time scale energy storage," Renewable Energy, Elsevier, vol. 206(C), pages 60-71.
    9. Li, Yanjie & Nian, Victor & Li, Hailong & Liu, Shengchun & Wang, Yabo, 2021. "A life cycle analysis techno-economic assessment framework for evaluating future technology pathways – The residential air-conditioning example," Applied Energy, Elsevier, vol. 291(C).
    10. Lulu Qu & Xueyi Shi & Chang Liu & Ye Yuan, 2017. "An Emergy-Based Hybrid Method for Assessing Sustainability of the Resource-Dependent Region," Sustainability, MDPI, vol. 9(1), pages 1-13, January.
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