A Case Study of Campus Greenhouse Gas Inventory

• Main Authors: HUANG, JIH-FEI, 黃日飛
• Other Authors: 汪孝慈
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/26453105670698288068

碩士 === 明新科技大學 === 工業工程與管理系碩士在職專班 === 104 === Continual pursuits of technology development and life convenience result in environmental pollutions and destructions accompanied thereafter by global warming and climate change problems. Efficient use of energy resources, energy saving, carbon reduction and the reduction of greenhouse gas emissions is one current important issue. This is a case study of a certain rather large private university with 13,000 teachers, staffs, workers and students. Analyzed in the case study are sources and total amounts of greenhouse gas emissions and impact factors to provide related research recommendations. Currently, most domestic tertiary institution greenhouse gas inventories follow the versions of the Ministry of Education with ISO 14064-1 standards and WBCSD/WRI greenhouse gas inventory protocol as references to implement campus greenhouse gas inventory operations. Inventory results of the university in 2015, The total emissions is 6,625.57 metric tonnes (CO2e), Scope 1 is emissions 683.2707 metric tonnes (CO2e), Scope 2 (electricity consumption) is emissions 5,942.2947 metric tonnes (CO2e). It also reveals that the campus "electricity consumption" almost reach ninety percent of the total emissions and is vital to greenhouse gas emissions. Therefore, emphasis of the research is laid upon the analysis of "electricity consumption". This study further compares electricity consumptions of campus buildings. Although the university promotes long-term carbon reductions and yearly deprecated outdated energy-consuming equipments with apparent electricity consumption declining trend year by year, the consumption increased in 2015 yet. Analyses of the building electricity consumptions indicate that the primary electricity consumption equipments are air conditioners and the air conditioner running is associated with climate temperature. Comparisons of the annual mean temperature and monthly mean temperature of the region confirm the relevance. Other influencing factors include staff work time, equipment running of outsourcers and updates and use of energy-saving equipments, etc. Proposals summarized through research analysis results can be applied as a reference to promote campus energy saving and carbon reduction strategies.