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An emergy based sustainability evaluation on a combined landfill and LFG power generation system

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  • Pan, Hengyu
  • Geng, Yong
  • Jiang, Ping
  • Dong, Huijuan
  • Sun, Lu
  • Wu, Rui

Abstract

Recovering the landfill gas from municipal solid wastes for power generation is one feasible approach to respond both climate change and resource depletion issues. Under such a circumstance, it is important to evaluate the overall performance of its production process. This study proposes an integrated evaluation method by integrating emergy analysis and eco-indicator 99 method. Key impact factors influencing the sustainability are uncovered by adopting Kaya identity and index decomposition analysis (IDA). One MSW treatment plant in Yunnan province of China was selected as one case study site. The results indicate that the overall performance of the MSW treatment plant has been improved after operating a power generation system. The emissions' impact has been reduced by 56.85% and 2.44gCO2eq has been offset when generating 109sej of electricity. However, the low economic benefit, the increase of nonrenewable empower density and the low investment effectiveness are still key factors that hinder its sustainability. In order to address these issues, several suggestions are raised by considering the local realities.

Suggested Citation

  • Pan, Hengyu & Geng, Yong & Jiang, Ping & Dong, Huijuan & Sun, Lu & Wu, Rui, 2018. "An emergy based sustainability evaluation on a combined landfill and LFG power generation system," Energy, Elsevier, vol. 143(C), pages 310-322.
    • Handle: RePEc:eee:energy:v:143:y:2018:i:c:p:310-322
    DOI: 10.1016/j.energy.2017.10.144
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    as
    1. Yang, Jin & Chen, Bin, 2014. "Emergy analysis of a biogas-linked agricultural system in rural China – A case study in Gongcheng Yao Autonomous County," Applied Energy, Elsevier, vol. 118(C), pages 173-182.
    2. Ribeiro, Fernando & Ferreira, Paula & Araújo, Madalena, 2013. "Evaluating future scenarios for the power generation sector using a Multi-Criteria Decision Analysis (MCDA) tool: The Portuguese case," Energy, Elsevier, vol. 52(C), pages 126-136.
    3. Huopana, Tuomas & Song, Han & Kolehmainen, Mikko & Niska, Harri, 2013. "A regional model for sustainable biogas electricity production: A case study from a Finnish province," Applied Energy, Elsevier, vol. 102(C), pages 676-686.
    4. Wang, Can & Chen, Jining & Zou, Ji, 2005. "Decomposition of energy-related CO2 emission in China: 1957–2000," Energy, Elsevier, vol. 30(1), pages 73-83.
    5. Zhang, Ming & Li, Huanan & Zhou, Min & Mu, Hailin, 2011. "Decomposition analysis of energy consumption in Chinese transportation sector," Applied Energy, Elsevier, vol. 88(6), pages 2279-2285, June.
    6. Campbell, Daniel E. & Lu, Hongfang & Lin, Bin-Le, 2014. "Emergy evaluations of the global biogeochemical cycles of six biologically active elements and two compounds," Ecological Modelling, Elsevier, vol. 271(C), pages 32-51.
    7. Ang, B.W., 2006. "Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index," Energy Policy, Elsevier, vol. 34(5), pages 574-582, March.
    8. Yang, Jin & Chen, Bin, 2016. "Emergy-based sustainability evaluation of wind power generation systems," Applied Energy, Elsevier, vol. 177(C), pages 239-246.
    9. Shao, Ling & Chen, G.Q., 2016. "Renewability assessment of a production system: Based on embodied energy as emergy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 380-392.
    10. Song, Ho-Jun & Lee, Seungmoon & Maken, Sanjeev & Ahn, Se-Woong & Park, Jin-Won & Min, Byoungryul & Koh, Wongun, 2007. "Environmental and economic assessment of the chemical absorption process in Korea using the LEAP model," Energy Policy, Elsevier, vol. 35(10), pages 5109-5116, October.
    11. Gengyuan Liu & Zhifeng Yang & Bin Chen & Yan Zhang & Meirong Su & Lixiao Zhang, 2013. "Emergy Evaluation of the Urban Solid Waste Handling in Liaoning Province, China," Energies, MDPI, vol. 6(10), pages 1-21, October.
    12. Zhang, Binyue & Chen, Bin, 2017. "Sustainability accounting of a household biogas project based on emergy," Applied Energy, Elsevier, vol. 194(C), pages 819-831.
    13. Ghisellini, Patrizia & Zucaro, Amalia & Viglia, Silvio & Ulgiati, Sergio, 2014. "Monitoring and evaluating the sustainability of Italian agricultural system. An emergy decomposition analysis," Ecological Modelling, Elsevier, vol. 271(C), pages 132-148.
    14. Cherubini, Francesco & Bargigli, Silvia & Ulgiati, Sergio, 2009. "Life cycle assessment (LCA) of waste management strategies: Landfilling, sorting plant and incineration," Energy, Elsevier, vol. 34(12), pages 2116-2123.
    15. 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.
    16. Lou, Bo & Ulgiati, Sergio, 2013. "Identifying the environmental support and constraints to the Chinese economic growth—An application of the Emergy Accounting method," Energy Policy, Elsevier, vol. 55(C), pages 217-233.
    17. Chen, Shaoqing & Chen, Bin, 2012. "Sustainability and future alternatives of biogas-linked agrosystem (BLAS) in China: An emergy synthesis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3948-3959.
    18. Zhang, Gaijing & Long, Weiding, 2010. "A key review on emergy analysis and assessment of biomass resources for a sustainable future," Energy Policy, Elsevier, vol. 38(6), pages 2948-2955, June.
    19. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    20. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    21. Brown, Mark T. & Ulgiati, Sergio, 2016. "Assessing the global environmental sources driving the geobiosphere: A revised emergy baseline," Ecological Modelling, Elsevier, vol. 339(C), pages 126-132.
    22. Chen, Shaoqing & Chen, Bin, 2014. "Energy efficiency and sustainability of complex biogas systems: A 3-level emergetic evaluation," Applied Energy, Elsevier, vol. 115(C), pages 151-163.
    23. Lee, Kihoon & Oh, Wankeun, 2006. "Analysis of CO2 emissions in APEC countries: A time-series and a cross-sectional decomposition using the log mean Divisia method," Energy Policy, Elsevier, vol. 34(17), pages 2779-2787, November.
    24. Liu, Zhe & Geng, Yong & Adams, Michelle & Dong, Liang & Sun, Lina & Zhao, Jingjing & Dong, Huijuan & Wu, Jiao & Tian, Xu, 2016. "Uncovering driving forces on greenhouse gas emissions in China’ aluminum industry from the perspective of life cycle analysis," Applied Energy, Elsevier, vol. 166(C), pages 253-263.
    25. Torchio, Marco F. & Genon, Giuseppe & Poggio, Alberto & Poggio, Marco, 2009. "Merging of energy and environmental analyses for district heating systems," Energy, Elsevier, vol. 34(3), pages 220-227.
    26. Kaya, Yoichi, 1990. "1.4. Credibility of models," Energy, Elsevier, vol. 15(3), pages 163-170.
    27. Brown, Mark T. & Ulgiati, Sergio, 2010. "Updated evaluation of exergy and emergy driving the geobiosphere: A review and refinement of the emergy baseline," Ecological Modelling, Elsevier, vol. 221(20), pages 2501-2508.
    28. Sanaye, Sepehr & Khakpaay, Navid, 2014. "Simultaneous use of MRM (maximum rectangle method) and optimization methods in determining nominal capacity of gas engines in CCHP (combined cooling, heating and power) systems," Energy, Elsevier, vol. 72(C), pages 145-158.
    29. Ang, B.W. & Xu, X.Y., 2013. "Tracking industrial energy efficiency trends using index decomposition analysis," Energy Economics, Elsevier, vol. 40(C), pages 1014-1021.
    30. Geng, Yong & Tian, Xu & Sarkis, Joseph & Ulgiati, Sergio, 2017. "China-USA Trade: Indicators for Equitable and Environmentally Balanced Resource Exchange," Ecological Economics, Elsevier, vol. 132(C), pages 245-254.
    31. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
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    Cited by:

    1. Dianfa Wu & Zhiping Yang & Ningling Wang & Chengzhou Li & Yongping Yang, 2018. "An Integrated Multi-Criteria Decision Making Model and AHP Weighting Uncertainty Analysis for Sustainability Assessment of Coal-Fired Power Units," Sustainability, MDPI, vol. 10(6), pages 1-27, May.
    2. Junxue Zhang & Lin Ma, 2021. "Urban ecological security dynamic analysis based on an innovative emergy ecological footprint method," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16163-16191, November.
    3. Clasen, Arno P. & Agostinho, Feni & Sulis, Federico & Almeida, Cecília M.V.B & Giannetti, Biagio F., 2024. "Unlocking the potential of municipal solid waste: Emergy accounting applied in a novel biorefinery," Ecological Modelling, Elsevier, vol. 492(C).

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