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Performance Assessment and Optimization of Biomass Steam Turbine Power Plants by Data Envelopment Analysis

Author

Listed:
  • Nattanin Ueasin

    (Faculty of Integrated Social Science, Khon Kaen University, Nong Khai Campus, Nong Khai, Thailand)

  • Anupong Wongchai

    (Department of Agricultural Economics and Extension, Faculty of Agriculture, Chiang Mai University, Chiang Mai, Thailand,)

  • Sakkarin Nonthapot

    (Indo-China Country International Trade and Economic Research Sector, Faculty of Integrated Social Science, Khon Kaen University, Nong Khai Campus, Nong Khai, Thailand)

Abstract

As rice husk is abundantly natural resource in Thailand, it has been used as the biomass energy resource in the stream turbine power plants, in particular to very small power producers (VSPPs). The VSPPs plants produced by rice husk is generally found in many regions of Thailand, however its performance efficiency and optimization has never been assessed at any level. This study aimed to fulfill this gap by adopting the method of data envelopment analysis (DEA) to relatively measure the performance efficiency of the decision making units, as well as to adjust input surpluses found in order to maximize the overall efficiency scores. The secondary data recorded in 2012 were collected from the power policy bureau of Thailand and Energy for Environment Foundation, totally 47 rice husk steam turbine power plants. The empirical results showed that a constant return to scale-DEA and variable return to scale-DEA model performed efficiency scores at 0.874 and 0.882, respectively. The input surpluses of capacity and purchasing cost of rice husk were emphasized to increase its unit efficiency. Achieving the Thai government s aim of sustainable, renewable energy would boost up many utility plants to use rice husk for electricity generation in the nearer future.

Suggested Citation

  • Nattanin Ueasin & Anupong Wongchai & Sakkarin Nonthapot, 2015. "Performance Assessment and Optimization of Biomass Steam Turbine Power Plants by Data Envelopment Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 668-672.
    • Handle: RePEc:eco:journ2:2015-03-04
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    References listed on IDEAS

    as
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    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
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    Cited by:

    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Milad Kolagar & Seyed Mohammad Hassan Hosseini & Ramin Felegari & Parviz Fattahi, 2020. "Policy-making for renewable energy sources in search of sustainable development: a hybrid DEA-FBWM approach," Environment Systems and Decisions, Springer, vol. 40(4), pages 485-509, December.
    3. Thanarat Pratumwan & Warunee Tia & Adisak Nathakaranakule & Somchart Soponronnarit, 2022. "Grid-connected Electricity Generation Potential from Energy Crops: A Case Study of Marginal Land in Thailand," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 62-72.

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    More about this item

    Keywords

    Biomass; Data Envelopment Analysis; Stream Turbine;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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