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A lifecycle-based success framework for grid-connected biomass energy projects

Author

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  • Carlos, Romel M.
  • Khang, Do Ba

Abstract

This paper presents a new framework to help assessing the success and its drivers of biomass energy projects. Empirical validation of the framework using data collected from operating grid-connected biomass energy plants in Thailand indicates that competencies of developer and project team members in designing biomass energy plants and conducting environment impact assessment (EIA) are significant factors for the success of the project development phase. In the construction phase, effective coordination, consultation and communication among the project team and the contractors emerge as the most significant success factors, while a competent management and O&M team is found critical to success during the operation phase. External factors such as the presence of supportive legislative, political and regulatory framework are found most instrumental for achieving overall project success. The framework demonstrates the dynamic linkage of project management success in successive lifecycle stages and phases, and thus can be used to evaluate and forecast the likelihood of success of biomass energy projects progressively over their lifecycle.

Suggested Citation

  • Carlos, Romel M. & Khang, Do Ba, 2009. "A lifecycle-based success framework for grid-connected biomass energy projects," Renewable Energy, Elsevier, vol. 34(5), pages 1195-1203.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:5:p:1195-1203
    DOI: 10.1016/j.renene.2008.10.014
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    Citations

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    Cited by:

    1. Fobissie Kalame & Denboy Kudejira & Johnson Nkem, 2011. "Assessing the process and options for implementing National Adaptation Programmes of Action (NAPA): a case study from Burkina Faso," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 16(5), pages 535-553, June.
    2. Wright, Daniel G. & Dey, Prasanta K. & Brammer, John, 2014. "A barrier and techno-economic analysis of small-scale bCHP (biomass combined heat and power) schemes in the UK," Energy, Elsevier, vol. 71(C), pages 332-345.
    3. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2011. "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3480-3500.
    4. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza & Hashim, Haslenda, 2011. "Progress and challenges in utilization of palm oil biomass as fuel for decentralized electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 574-583, January.
    5. Blumer, Yann B. & Stauffacher, Michael & Lang, Daniel J. & Hayashi, Kiyotada & Uchida, Susumu, 2013. "Non-technical success factors for bioenergy projects—Learning from a multiple case study in Japan," Energy Policy, Elsevier, vol. 60(C), pages 386-395.
    6. Umar, Mohd Shaharin & Jennings, Philip & Urmee, Tania, 2013. "Strengthening the palm oil biomass Renewable Energy industry in Malaysia," Renewable Energy, Elsevier, vol. 60(C), pages 107-115.
    7. Kaundinya, Deepak Paramashivan & Balachandra, P. & Ravindranath, N.H., 2009. "Grid-connected versus stand-alone energy systems for decentralized power--A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2041-2050, October.

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