The Performance Evaluation of the Independent Power Producer (IPP) In Taiwan－The Application of DEA

• Main Authors: Chen,Wang-Tseng, 陳望曾
• Other Authors: Chang,Ssu-li
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/18004849514512298251

碩士 === 國立臺北大學 === 自然資源與環境管理研究所在職專班 === 94 === Since the 80's, the electricity industry liberalization has become a global trend. In order to accommodate global electricity industry liberalization and solve the crisis of lacking electricity, Ministry of Economic Affairs opened up the power market to allow independent power producer to apply license for the installation of power plant. Three stages of licensing processes were carried in June and December, 1995, and December, 1999. It is a global tendency for power market liberalization to opening the market to Independent Power Producers (IPPs). This research uses the Data Envelopment Analysis (DEA) to analyze and compare the operation performance of existing power plant of IPP with the power plants of TPC. It is hoped that the findings of this study can be made use of in overall performance improvement in IPP, as well as in TPC. The DEA model was constructed to evaluate Coal and LNG Combined Cycle power plants separately. The Decision Making Unit (DMU) is defined as generator of each of the power plants. The data employed are covered from 2002 to 2004. The input variables are identified as Installed Capacity, Capacity factor, operation hours and power usage of subsidiary equipment, whereas the output variable is defined as revenue from electricity generated. The results can be summarized as below: 1. Comparing the performance of Coal power plant between IPP and TPC, same type of generator between IPP Coal power station and TPC Coal power station, the productivity scores for IPP is generally higher than TPC. More than half of the DMUs show constant return to scale or increasing return to scale, which means the overall efficiency can be improved by increasing the levels of the input variables. Besides, according to the result of Malmquist productivity index obtained, which shows the performance are improving over the period between 2002-2004 . Moreover, pure technical efficiency change and scale efficiency change were observed and that the efficiency of IPP Coal generator has improved, and most of them tended to develop long-term optimum product scale gradually. 2. As for the result of LNG combined Cycle power plant, the productivity scores obtained for IPP are generally higher than TPC. Generally, the perform efficiency of IPP was decreasing return to scale in 2002 and 2003, and change to either increasing return to scale or constant return to scale in 2004. It is shown that the input factors of Installed Capacity and power usage of subsidiary equipment are the key input factors of IPP Combined Cycle generator through Sensitivity Analysis. Besides, according to Malmquist productivity index, it was defined that the overall productivity of IPP has grown, the technology made progress and most efficiency improved in 2002~2004. Moreover, pure technical efficiency change and scale efficiency change were observed and that the efficiency of IPP Combined Cycle generator has improved, and most of them tended to develop long-term optimum product scale gradually. The research learns above results and proposes some suggestions to related organization as reference to improve electric power business development and management.