IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i8p2304-d539105.html
   My bibliography  Save this article

Analysis of Changes in the Aggregate Exergy Efficiency of China’s Energy System from 2005 to 2015

Author

Listed:
  • Yuancheng Lin

    (State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Research and Education Centre, Tsinghua University, Beijing 100084, China
    Tsinghua-Rio Tinto Joint Research Centre for Resources, Energy and Sustainable Development, Laboratory for Low Carbon Energy, Tsinghua University, Beijing 100084, China)

  • Chinhao Chong

    (State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Research and Education Centre, Tsinghua University, Beijing 100084, China
    Tsinghua-Rio Tinto Joint Research Centre for Resources, Energy and Sustainable Development, Laboratory for Low Carbon Energy, Tsinghua University, Beijing 100084, China)

  • Linwei Ma

    (State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Research and Education Centre, Tsinghua University, Beijing 100084, China
    Tsinghua-Rio Tinto Joint Research Centre for Resources, Energy and Sustainable Development, Laboratory for Low Carbon Energy, Tsinghua University, Beijing 100084, China)

  • Zheng Li

    (State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Research and Education Centre, Tsinghua University, Beijing 100084, China)

  • Weidou Ni

    (State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Research and Education Centre, Tsinghua University, Beijing 100084, China)

Abstract

Analysis of the change of overall energy efficiency performance of an energy system is a fundamental work for the energy-saving policymaking. However, previous studies seldom focus on energy stages from useful energy to final service, while most attention are paid on stages from energy source to useful energy. In this paper, we develop a high-resolution the Societal Exergy Analysis and Logarithmic Mean Divisia Index (SEA-LMDI) method to analysis changes and driving factors of the aggregate exergy efficiency, in which the boundary of the SEA is extended to passive systems and final services, and a LMDI decomposition method is developed to quantify contributions of efficiency factors and structure factors of all six stages on the aggregate exergy efficiency. A case study of China during 2005–2015 reveals that: (a) the aggregate exergy efficiency from energy source to final service is only from 3.7% to 4.8% during 2005–2015, showing a huge theoretical potential of efficiency improvement. (b) Large passive losses are identified in passive systems and nearly 2/3 of useful energy can be theoretically saved by improving passive systems. (c) Deep analysis of industrial coal-fired boilers indicates that the internal structural adjustments are also important for the aggregate improvement.

Suggested Citation

  • Yuancheng Lin & Chinhao Chong & Linwei Ma & Zheng Li & Weidou Ni, 2021. "Analysis of Changes in the Aggregate Exergy Efficiency of China’s Energy System from 2005 to 2015," Energies, MDPI, vol. 14(8), pages 1-27, April.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2304-:d:539105
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/8/2304/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/8/2304/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
    3. Utlu, Zafer & Hepbasli, Arif, 2007. "A review on analyzing and evaluating the energy utilization efficiency of countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(1), pages 1-29, January.
    4. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    5. Serrenho, André Cabrera & Sousa, Tânia & Warr, Benjamin & Ayres, Robert U. & Domingos, Tiago, 2014. "Decomposition of useful work intensity: The EU (European Union)-15 countries from 1960 to 2009," Energy, Elsevier, vol. 76(C), pages 704-715.
    6. Sousa, Tânia & Brockway, Paul E. & Cullen, Jonathan M. & Henriques, Sofia Teives & Miller, Jack & Serrenho, André Cabrera & Domingos, Tiago, 2017. "The Need for Robust, Consistent Methods in Societal Exergy Accounting," Ecological Economics, Elsevier, vol. 141(C), pages 11-21.
    7. Chong, ChinHao & Ma, Linwei & Li, Zheng & Ni, Weidou & Song, Shizhong, 2015. "Logarithmic mean Divisia index (LMDI) decomposition of coal consumption in China based on the energy allocation diagram of coal flows," Energy, Elsevier, vol. 85(C), pages 366-378.
    8. B. W. Ang & Ki-Hong Choi, 1997. "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-73.
    9. Liao, Hua & Fan, Ying & Wei, Yi-Ming, 2007. "What induced China's energy intensity to fluctuate: 1997-2006?," Energy Policy, Elsevier, vol. 35(9), pages 4640-4649, September.
    10. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    11. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    12. Yunlong Zhao & Geng Kong & Chin Hao Chong & Linwei Ma & Zheng Li & Weidou Ni, 2021. "How to Effectively Control Energy Consumption Growth in China’s 29 Provinces: A Paradigm of Multi-Regional Analysis Based on EAALMDI Method," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    13. Chong, Chin Hao & Tan, Wei Xin & Ting, Zhao Jia & Liu, Pei & Ma, Linwei & Li, Zheng & Ni, Weidou, 2019. "The driving factors of energy-related CO2 emission growth in Malaysia: The LMDI decomposition method based on energy allocation analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    14. Ma, Linwei & Allwood, Julian M. & Cullen, Jonathan M. & Li, Zheng, 2012. "The use of energy in China: Tracing the flow of energy from primary source to demand drivers," Energy, Elsevier, vol. 40(1), pages 174-188.
    15. Mei Gong & Göran Wall, 2016. "Exergy Analysis of the Supply of Energy and Material Resources in the Swedish Society," Energies, MDPI, vol. 9(9), pages 1-16, September.
    16. Chong, ChinHao & Liu, Pei & Ma, Linwei & Li, Zheng & Ni, Weidou & Li, Xu & Song, Shizhong, 2017. "LMDI decomposition of energy consumption in Guangdong Province, China, based on an energy allocation diagram," Energy, Elsevier, vol. 133(C), pages 525-544.
    17. Chinhao Chong & Weidou Ni & Linwei Ma & Pei Liu & Zheng Li, 2015. "The Use of Energy in Malaysia: Tracing Energy Flows from Primary Source to End Use," Energies, MDPI, vol. 8(4), pages 1-39, April.
    18. Rosen, Marc A. & Dincer, Ibrahim & Kanoglu, Mehmet, 2008. "Role of exergy in increasing efficiency and sustainability and reducing environmental impact," Energy Policy, Elsevier, vol. 36(1), pages 128-137, January.
    19. Paoli, Leonardo & Cullen, Jonathan, 2020. "Technical limits for energy conversion efficiency," Energy, Elsevier, vol. 192(C).
    20. Valero, Alicia & Valero, Antonio & Calvo, Guiomar & Ortego, Abel & Ascaso, Sonia & Palacios, Jose-Luis, 2018. "Global material requirements for the energy transition. An exergy flow analysis of decarbonisation pathways," Energy, Elsevier, vol. 159(C), pages 1175-1184.
    21. Ricardo Manso & Tânia Sousa & Tiago Domingos, 2017. "Do the Different Exergy Accounting Methodologies Provide Consistent or Contradictory Results? A Case Study with the Portuguese Agricultural, Forestry and Fisheries Sector," Energies, MDPI, vol. 10(8), pages 1-31, August.
    22. Haas, Reinhard & Nakicenovic, Nebojsa & Ajanovic, Amela & Faber, Thomas & Kranzl, Lukas & Müller, Andreas & Resch, Gustav, 2008. "Towards sustainability of energy systems: A primer on how to apply the concept of energy services to identify necessary trends and policies," Energy Policy, Elsevier, vol. 36(11), pages 4012-4021, November.
    23. Proskuryakova, L. & Kovalev, A., 2015. "Measuring energy efficiency: Is energy intensity a good evidence base?," Applied Energy, Elsevier, vol. 138(C), pages 450-459.
    24. Warr, Benjamin & Ayres, Robert & Eisenmenger, Nina & Krausmann, Fridolin & Schandl, Heinz, 2010. "Energy use and economic development: A comparative analysis of useful work supply in Austria, Japan, the United Kingdom and the US during 100Â years of economic growth," Ecological Economics, Elsevier, vol. 69(10), pages 1904-1917, August.
    25. Hardt, Lukas & Owen, Anne & Brockway, Paul & Heun, Matthew K. & Barrett, John & Taylor, Peter G. & Foxon, Timothy J., 2018. "Untangling the drivers of energy reduction in the UK productive sectors: Efficiency or offshoring?," Applied Energy, Elsevier, vol. 223(C), pages 124-133.
    26. Nakićenović, Nebojsa & Gilli, Paul Viktor & Kurz, Rainer, 1996. "Regional and global exergy and energy efficiencies," Energy, Elsevier, vol. 21(3), pages 223-237.
    27. Cullen, Jonathan M. & Allwood, Julian M., 2010. "Theoretical efficiency limits for energy conversion devices," Energy, Elsevier, vol. 35(5), pages 2059-2069.
    28. Jørgensen, S.E. & Nors Nielsen, Søren, 2007. "Application of exergy as thermodynamic indicator in ecology," Energy, Elsevier, vol. 32(5), pages 673-685.
    29. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    30. Motasemi, F. & Afzal, Muhammad T. & Salema, Arshad Adam & Moghavvemi, M. & Shekarchian, M. & Zarifi, F. & Mohsin, R., 2014. "Energy and exergy utilization efficiencies and emission performance of Canadian transportation sector, 1990–2035," Energy, Elsevier, vol. 64(C), pages 355-366.
    31. Zhang, Ping & Shi, XunPeng & Sun, YongPing & Cui, Jingbo & Shao, Shuai, 2019. "Have China's provinces achieved their targets of energy intensity reduction? Reassessment based on nighttime lighting data," Energy Policy, Elsevier, vol. 128(C), pages 276-283.
    32. Honghua Yang & Linwei Ma & Zheng Li, 2020. "A Method for Analyzing Energy-Related Carbon Emissions and the Structural Changes: A Case Study of China from 2005 to 2015," Energies, MDPI, vol. 13(8), pages 1-24, April.
    33. Cullen, Jonathan M. & Allwood, Julian M., 2010. "The efficient use of energy: Tracing the global flow of energy from fuel to service," Energy Policy, Elsevier, vol. 38(1), pages 75-81, January.
    34. Rosen, M.A., 1992. "Evaluation of energy utilization efficiency in Canada using energy and exergy analyses," Energy, Elsevier, vol. 17(4), pages 339-350.
    35. Li, Yi & Sun, Linyan & Feng, Taiwen & Zhu, Chunyan, 2013. "How to reduce energy intensity in China: A regional comparison perspective," Energy Policy, Elsevier, vol. 61(C), pages 513-522.
    36. Dincer, Ibrahim, 2002. "The role of exergy in energy policy making," Energy Policy, Elsevier, vol. 30(2), pages 137-149, January.
    37. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    38. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    39. Saidur, R. & Masjuki, H.H. & Jamaluddin, M.Y., 2007. "An application of energy and exergy analysis in residential sector of Malaysia," Energy Policy, Elsevier, vol. 35(2), pages 1050-1063, February.
    40. Wang, Juan & Hu, Mingming & Rodrigues, João F.D., 2018. "The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis," Applied Energy, Elsevier, vol. 228(C), pages 2195-2206.
    41. Zhao, Xiaoli & Ma, Chunbo & Hong, Dongyue, 2010. "Why did China's energy intensity increase during 1998-2006: Decomposition and policy analysis," Energy Policy, Elsevier, vol. 38(3), pages 1379-1388, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qiucheng Li & Jiang Hu & Bolin Yu, 2021. "Spatiotemporal Patterns and Influencing Mechanism of Urban Residential Energy Consumption in China," Energies, MDPI, vol. 14(13), pages 1-17, June.
    2. Lin, Yuancheng & Ma, Linwei & Li, Zheng & Ni, Weidou, 2023. "The carbon reduction potential by improving technical efficiency from energy sources to final services in China: An extended Kaya identity analysis," Energy, Elsevier, vol. 263(PE).
    3. Chinhao Chong & Xi Zhang & Geng Kong & Linwei Ma & Zheng Li & Weidou Ni & Eugene-Hao-Chen Yu, 2021. "A Visualization Method of the Economic Input–Output Table: Mapping Monetary Flows in the Form of Sankey Diagrams," Sustainability, MDPI, vol. 13(21), pages 1-56, November.
    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.
    5. Yun-Hsun Huang & Jung-Hua Wu & Hao-Syuan Huang, 2021. "Analyzing the Driving Forces behind CO 2 Emissions in Energy-Resource-Poor and Fossil-Fuel-Centered Economies: Case Studies from Taiwan, Japan, and South Korea," Energies, MDPI, vol. 14(17), pages 1-14, August.
    6. Lin, Yuancheng & Chong, Chin Hao & Ma, Linwei & Li, Zheng & Ni, Weidou, 2022. "Quantification of waste heat potential in China: A top-down Societal Waste Heat Accounting Model," Energy, Elsevier, vol. 261(PB).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lin, Yuancheng & Ma, Linwei & Li, Zheng & Ni, Weidou, 2023. "The carbon reduction potential by improving technical efficiency from energy sources to final services in China: An extended Kaya identity analysis," Energy, Elsevier, vol. 263(PE).
    2. Chong, Chin Hao & Zhou, Xiaoyong & Zhang, Yongchuang & Ma, Linwei & Bhutta, Muhammad Shoaib & Li, Zheng & Ni, Weidou, 2023. "LMDI decomposition of coal consumption in China based on the energy allocation diagram of coal flows: An update for 2005–2020 with improved sectoral resolutions," Energy, Elsevier, vol. 285(C).
    3. Linwei Ma & Chinhao Chong & Xi Zhang & Pei Liu & Weiqi Li & Zheng Li & Weidou Ni, 2018. "LMDI Decomposition of Energy-Related CO 2 Emissions Based on Energy and CO 2 Allocation Sankey Diagrams: The Method and an Application to China," Sustainability, MDPI, vol. 10(2), pages 1-37, January.
    4. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    5. Heun, Matthew Kuperus & Owen, Anne & Brockway, Paul E., 2018. "A physical supply-use table framework for energy analysis on the energy conversion chain," Applied Energy, Elsevier, vol. 226(C), pages 1134-1162.
    6. Chinhao Chong & Xi Zhang & Geng Kong & Linwei Ma & Zheng Li & Weidou Ni & Eugene-Hao-Chen Yu, 2021. "A Visualization Method of the Economic Input–Output Table: Mapping Monetary Flows in the Form of Sankey Diagrams," Sustainability, MDPI, vol. 13(21), pages 1-56, November.
    7. Chong, Chin Hao & Tan, Wei Xin & Ting, Zhao Jia & Liu, Pei & Ma, Linwei & Li, Zheng & Ni, Weidou, 2019. "The driving factors of energy-related CO2 emission growth in Malaysia: The LMDI decomposition method based on energy allocation analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    8. Yunlong Zhao & Geng Kong & Chin Hao Chong & Linwei Ma & Zheng Li & Weidou Ni, 2021. "How to Effectively Control Energy Consumption Growth in China’s 29 Provinces: A Paradigm of Multi-Regional Analysis Based on EAALMDI Method," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    9. Román-Collado, Rocío & Colinet, María José, 2018. "Are labour productivity and residential living standards drivers of the energy consumption changes?," Energy Economics, Elsevier, vol. 74(C), pages 746-756.
    10. Sousa, Tânia & Brockway, Paul E. & Cullen, Jonathan M. & Henriques, Sofia Teives & Miller, Jack & Serrenho, André Cabrera & Domingos, Tiago, 2017. "The Need for Robust, Consistent Methods in Societal Exergy Accounting," Ecological Economics, Elsevier, vol. 141(C), pages 11-21.
    11. Duran, Elisa & Aravena, Claudia & Aguilar, Renato, 2015. "Analysis and decomposition of energy consumption in the Chilean industry," Energy Policy, Elsevier, vol. 86(C), pages 552-561.
    12. Chong, ChinHao & Ma, Linwei & Li, Zheng & Ni, Weidou & Song, Shizhong, 2015. "Logarithmic mean Divisia index (LMDI) decomposition of coal consumption in China based on the energy allocation diagram of coal flows," Energy, Elsevier, vol. 85(C), pages 366-378.
    13. Yang, Guangfei & Li, Wenli & Wang, Jianliang & Zhang, Dongqing, 2016. "A comparative study on the influential factors of China's provincial energy intensity," Energy Policy, Elsevier, vol. 88(C), pages 74-85.
    14. Wang, Wenchao & Mu, Hailin & Kang, Xudong & Song, Rongchen & Ning, Yadong, 2010. "Changes in industrial electricity consumption in china from 1998 to 2007," Energy Policy, Elsevier, vol. 38(7), pages 3684-3690, July.
    15. Lin, Yuancheng & Chong, Chin Hao & Ma, Linwei & Li, Zheng & Ni, Weidou, 2022. "Quantification of waste heat potential in China: A top-down Societal Waste Heat Accounting Model," Energy, Elsevier, vol. 261(PB).
    16. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.
    17. Román-Collado, Rocío & Cansino, José M. & Botia, Camilo, 2018. "How far is Colombia from decoupling? Two-level decomposition analysis of energy consumption changes," Energy, Elsevier, vol. 148(C), pages 687-700.
    18. Patiño, Lourdes Isabel & Alcántara, Vicent & Padilla, Emilio, 2021. "Driving forces of CO2 emissions and energy intensity in Colombia," Energy Policy, Elsevier, vol. 151(C).
    19. Aramendia, Emmanuel & Brockway, Paul E. & Pizzol, Massimo & Heun, Matthew K., 2021. "Moving from final to useful stage in energy-economy analysis: A critical assessment," Applied Energy, Elsevier, vol. 283(C).
    20. Yang Yu & Qiuyue Kong, 2017. "Analysis on the influencing factors of carbon emissions from energy consumption in China based on LMDI method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1691-1707, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2304-:d:539105. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.