IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v88y2015icp885-896.html
   My bibliography  Save this article

Utilization efficiency of electrical equipment within life cycle assessment: Indexes, analysis and a case

Author

Listed:
  • Hu, Zhuangli
  • Zhang, Yongjun
  • Li, Canbing
  • Li, Jing
  • Cao, Yijia
  • Luo, Diansheng
  • Cao, Huazhen

Abstract

As power system requires huge assets investment and consumes massive fossil fuels, evaluating and increasing utilization efficiency of electrical equipment helps to improve the economy of power system, save energy, and reduce pollutant emissions. In this paper, the concept of electrical equipment utilization efficiency within LCA (life cycle assessment), which combines both supply-side and demand-side, is proposed to fully reflect actual utilization of electrical equipment. Based on this concept, the indexes for calculating electrical equipment utilization efficiency within LCA are proposed. The main factors that influence utilization efficiency are presented, and then the contributions of these influence factors to electrical equipment utilization efficiency within LCA are also analyzed. Furthermore, the electrical equipment utilization efficiency within LCA of the distribution network in Shaoguan, which is a typical case in China, is investigated. The results show that the electrical equipment utilization efficiency within LCA is mostly below 20%, indicating that there is a huge potential for improvement.

Suggested Citation

  • Hu, Zhuangli & Zhang, Yongjun & Li, Canbing & Li, Jing & Cao, Yijia & Luo, Diansheng & Cao, Huazhen, 2015. "Utilization efficiency of electrical equipment within life cycle assessment: Indexes, analysis and a case," Energy, Elsevier, vol. 88(C), pages 885-896.
    • Handle: RePEc:eee:energy:v:88:y:2015:i:c:p:885-896
    DOI: 10.1016/j.energy.2015.07.041
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215009366
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2015.07.041?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Barros, Carlos Pestana, 2008. "Efficiency analysis of hydroelectric generating plants: A case study for Portugal," Energy Economics, Elsevier, vol. 30(1), pages 59-75, January.
    2. He, Yongxiu & Wang, Bing & Wang, Jianhui & Xiong, Wei & Xia, Tian, 2012. "Residential demand response behavior analysis based on Monte Carlo simulation: The case of Yinchuan in China," Energy, Elsevier, vol. 47(1), pages 230-236.
    3. Li, Canbing & Shi, Haiqing & Cao, Yijia & Wang, Jianhui & Kuang, Yonghong & Tan, Yi & Wei, Jing, 2015. "Comprehensive review of renewable energy curtailment and avoidance: A specific example in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1067-1079.
    4. Wang, Yi-Shu & Xie, Bai-Chen & Shang, Li-Feng & Li, Wen-Hua, 2013. "Measures to improve the performance of China’s thermal power industry in view of cost efficiency," Applied Energy, Elsevier, vol. 112(C), pages 1078-1086.
    5. Kohler, Marcel, 2014. "Differential electricity pricing and energy efficiency in South Africa," Energy, Elsevier, vol. 64(C), pages 524-532.
    6. Wada, Kenichi & Akimoto, Keigo & Sano, Fuminori & Oda, Junichiro & Homma, Takashi, 2012. "Energy efficiency opportunities in the residential sector and their feasibility," Energy, Elsevier, vol. 48(1), pages 5-10.
    7. Vera, Sonia & Bernal, Felipe & Sauma, Enzo, 2013. "Do distribution companies loose money with an electricity flexible tariff?: A review of the Chilean case," Energy, Elsevier, vol. 55(C), pages 295-303.
    8. 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.
    9. Harrison, Gareth P. & Maclean, Edward (Ned). J. & Karamanlis, Serafeim & Ochoa, Luis F., 2010. "Life cycle assessment of the transmission network in Great Britain," Energy Policy, Elsevier, vol. 38(7), pages 3622-3631, July.
    10. Miller, Peter M. & Geller, Howard S. & de Almeida, Anibal T., 1992. "An example of energy savings in LDCS: Improving electrical equipment in Pakistan," Energy, Elsevier, vol. 17(10), pages 969-982.
    11. Declan Butler, 2007. "Super savers: Meters to manage the future," Nature, Nature, vol. 445(7128), pages 586-588, February.
    12. Wang, Jiangjiang & Sui, Jun & Jin, Hongguang, 2015. "An improved operation strategy of combined cooling heating and power system following electrical load," Energy, Elsevier, vol. 85(C), pages 654-666.
    13. Dashti, Reza & Yousefi, Shaghayegh & Parsa Moghaddam, Mohsen, 2013. "Comprehensive efficiency evaluation model for electrical distribution system considering social and urban factors," Energy, Elsevier, vol. 60(C), pages 53-61.
    14. Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
    15. Sousa, José Luís & Martins, António Gomes & Jorge, Humberto, 2013. "Dealing with the paradox of energy efficiency promotion by electric utilities," Energy, Elsevier, vol. 57(C), pages 251-258.
    16. Chang, XiaoLin & Liu, Xinghong & Zhou, Wei, 2010. "Hydropower in China at present and its further development," Energy, Elsevier, vol. 35(11), pages 4400-4406.
    Full references (including those not matched with items on IDEAS)

    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. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "Residential demand response scheme based on adaptive consumption level pricing," Energy, Elsevier, vol. 113(C), pages 301-308.
    2. Dashti, Reza & Yousefi, Shaghayegh & Parsa Moghaddam, Mohsen, 2013. "Comprehensive efficiency evaluation model for electrical distribution system considering social and urban factors," Energy, Elsevier, vol. 60(C), pages 53-61.
    3. Wang, Yong & Li, Lin, 2015. "Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities," Applied Energy, Elsevier, vol. 149(C), pages 89-103.
    4. Li, Lanlan & Gong, Chengzhu & Wang, Deyun & Zhu, Kejun, 2013. "Multi-agent simulation of the time-of-use pricing policy in an urban natural gas pipeline network: A case study of Zhengzhou," Energy, Elsevier, vol. 52(C), pages 37-43.
    5. Venizelou, Venizelos & Philippou, Nikolas & Hadjipanayi, Maria & Makrides, George & Efthymiou, Venizelos & Georghiou, George E., 2018. "Development of a novel time-of-use tariff algorithm for residential prosumer price-based demand side management," Energy, Elsevier, vol. 142(C), pages 633-646.
    6. Katz, Jonas & Andersen, Frits Møller & Morthorst, Poul Erik, 2016. "Load-shift incentives for household demand response: Evaluation of hourly dynamic pricing and rebate schemes in a wind-based electricity system," Energy, Elsevier, vol. 115(P3), pages 1602-1616.
    7. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "A review of residential demand response of smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 166-178.
    8. Yang, Changhui & Meng, Chen & Zhou, Kaile, 2018. "Residential electricity pricing in China: The context of price-based demand response," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2870-2878.
    9. Cortés-Arcos, Tomás & Bernal-Agustín, José L. & Dufo-López, Rodolfo & Lujano-Rojas, Juan M. & Contreras, Javier, 2017. "Multi-objective demand response to real-time prices (RTP) using a task scheduling methodology," Energy, Elsevier, vol. 138(C), pages 19-31.
    10. Gong, Chengzhu & Tang, Kai & Zhu, Kejun & Hailu, Atakelty, 2016. "An optimal time-of-use pricing for urban gas: A study with a multi-agent evolutionary game-theoretic perspective," Applied Energy, Elsevier, vol. 163(C), pages 283-294.
    11. Li, Lanlan & Gong, Chengzhu & Tian, Shizhong & Jiao, Jianling, 2016. "The peak-shaving efficiency analysis of natural gas time-of-use pricing for residential consumers: Evidence from multi-agent simulation," Energy, Elsevier, vol. 96(C), pages 48-58.
    12. Jordehi, A. Rezaee, 2019. "Optimisation of demand response in electric power systems, a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 308-319.
    13. Ünal, Berat Berkan & Onaygil, Sermin & Acuner, Ebru & Cin, Rabia, 2022. "Application of energy efficiency obligation scheme for electricity distribution companies in Turkey," Energy Policy, Elsevier, vol. 163(C).
    14. Weiss, Mariana & Chueca, J. Enrique & Jacob, Jorge & Gonçalves, Felipe & Azevedo, Marina & Gouvêa, Adriana & Ravillard, Pauline & Carvalho Metanias Hallack, Michelle, 2022. "Empowering Electricity Consumers through Demand Response Approach: Why and How," IDB Publications (Working Papers) 12133, Inter-American Development Bank.
    15. Stua, Michele, 2013. "Evidence of the clean development mechanism impact on the Chinese electric power system's low-carbon transition," Energy Policy, Elsevier, vol. 62(C), pages 1309-1319.
    16. Aparicio, Juan & Pastor, Jesus T. & Zofio, Jose L., 2013. "On the inconsistency of the Malmquist–Luenberger index," European Journal of Operational Research, Elsevier, vol. 229(3), pages 738-742.
    17. Liton Chandra Voumik & Md. Azharul Islam & Abidur Rahaman & Md. Maznur Rahman, 2022. "Emissions of carbon dioxide from electricity production in ASEAN countries: GMM and quantile regression analysis," SN Business & Economics, Springer, vol. 2(9), pages 1-20, September.
    18. Zhou, Yuan & Wang, Jiangjiang & Dong, Fuxiang & Qin, Yanbo & Ma, Zherui & Ma, Yanpeng & Li, Jianqiang, 2021. "Novel flexibility evaluation of hybrid combined cooling, heating and power system with an improved operation strategy," Applied Energy, Elsevier, vol. 300(C).
    19. Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
    20. Zheng, Yingying & Jenkins, Bryan M. & Kornbluth, Kurt & Kendall, Alissa & Træholt, Chresten, 2018. "Optimization of a biomass-integrated renewable energy microgrid with demand side management under uncertainty," Applied Energy, Elsevier, vol. 230(C), pages 836-844.

    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:eee:energy:v:88:y:2015:i:c:p:885-896. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.