Assessing Enlargement Projects of Cogeneration Systems Using AHP and TOPSIS Methods

• Main Authors: CHEN, YI-HUA, 陳怡樺
• Other Authors: LIU, CHIUN-MING
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/07821522824329298052

碩士 === 逢甲大學 === 工業工程與系統管理學系 === 104 === Cogeneration Systems or Combined Heat and Power Systems are equipment used to burn fuels (natural gas, coal, heavy oil) or litters (bagasse, sludge, waste heat) and then generate output steam and electrical power. This equipment can serve as electric power sources and provide reliable electric power. Consequently, the government encourages manufacturers to build such equipment by many rewards. Therefore, many domestic manufacturers have developed related programs by building new congeneration systems or enlarging current cogeneration system in the hope of improving energy usage. Traditional companies apply financial costs and benefit ways to evaluate projects of building or extending equipment. However, many criteria related to nonfinancial factors such as power source, environmental protection, water resources or air quality are important. Consequently, in this study, we want to propose a multi-criteria decision analysis method for choosing a satisfactory project. In this study, analytic hierarchy process (AHP) and techniques for order preference similarity ideal solution (TOPSIS) are applied to evaulting alternatives of building or enlarging cogeneration systems. In this approach, we consider four main criteria including costs, natural resource consumption, boiler operability, and benefit. Under each main criterion, there are several secondary criteria. For example, building costs and maintain costs are secondary criteria under costs criterion; water resource, coal, and heavy oil under natural resource consumption criterion; efficiency and reliability under boiler operability criterion; steam benefit and generation of electricity benefit under benefit criterion. These secondary criteria can be analyzed and evaluated by collecting real world quantitative data. In the first phase, we apply AHP by making questionnaire and estimating weights for main criteria and secondary criteria. Then, we calculate global weights for secondary criteria. In the second phase, we apply TOPSIS by estimating ideal solution and negative-ideal solution and calculating closeness ratios for each alternative. Finally, those candidate projects are ranked by using the resulting closeness ratios. The developed approach is applied by collecting real world data from a chemical fiber factory. Results suggest that the developed method can be accepted substantially the company management department. The advantage in this approach is our method includes factors of traditional financial factors and nonfinancial factors such as power source, environmental protection and equipment operation.