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|Title: ||溫室氣體盤查與減量評估 —以某半導體封測廠為例;Greenhouse Gases Inventory and Reduction Assessment – Take a Semiconductor Packaging and Testing Plant as an Example|
|Authors: ||張和忠;Chang, Ho-Chung|
|Keywords: ||溫室氣體盤查;半導體封測廠;節能減碳;減量評估;Greenhouse Gases Inventory;Semiconductor packaging and testing;Energy saving and carbon emission reduction;Reduction assessment|
|Issue Date: ||2019-09-03 17:03:34 (UTC+8)|
研究結果顯示，2018年間溫室氣體總排放量為 245,588.22 公噸CO2e/年，與 2017 年相比多出 31,094.98 公噸CO2e/年，主因為擴廠造成電力使用上升，在各範疇溫室氣體排放佔比中，範疇一(直接排放量)佔整體排放量 0.94%，範疇二(電力使用間接排放量)放佔整體排放量 99.06 %。進一步分析各範疇排放源，範疇一分析中以移動燃燒排放為主要排放源，範疇二以電力使用為主要排放源，其中又以廠務設備的空調與空壓系統為主要的用電來源。與同儕公司所公布數據比較，發現案例廠產品碳排放強度及單位產品用電排碳量皆優於同儕公司，差異主因可能在於選用排放係數、無塵室等級需求、產品型式造成用電量不同。
最後，在節能減碳措施方面，案例廠規劃在2019年實施5項節能措施，估算可節能 3,424.62千度電，CO2排放量則減少1,897.24公噸 CO2e/年。
;This study compiled greenhouse gases inventory of a semiconductor packaging and testing plant (henceforward, referred to as this plant) by following “the greenhouse gas inventory and registration guidelines” promulgated by the Environmental Protection Administration of the Executive Yuan in June 2016. The greenhouse gas emission sources and energy consumption in 2018 were investigated and quantified to mitigate the global warming trend. This plant is intended to take the inventory results as one of its important indicators of business management strategy.
The results showed that the greenhouse gas emissions in 2018 were 245,588.22 metric tons of CO2e/year. The amount increased about 31,094.98 metric tons of CO2e/year compared with 2017, which was due to the increase in power usage by expanding the plant capacity. Among the greenhouse-gas emission percentages of each scope in total, scope 1 (direct emissions) accounted for 0.94% of the total emissions and scope 2 (indirect emissions for power usage) accounted for 99.06% of the total emissions. Further analysis on each scope revealed that the transportation combustion source was the significant sources in scope 1 and power usage was the dominant source of scope 2. Among the various power usages, air conditioning and air pressure system were the two most significant ones in this plant. Comparing with the data released by the peer company, this plant had a superior carbon emission intensity of the product and the electricity consumption per unit of the product. The significant reasons for the deviation may lie in the differences of emission factor selections, the requirements of cleanroom classes, and the product types.
Finally, in the measures of energy-saving and carbon-reduction, this plant planned to implement five energy-saving projects to save a total of 3,424.62 MWh and reduce CO2 emissions of 1,897.24 metric tons of CO2e/year in 2019.
|Appears in Collections:||[環境工程研究所碩士在職專班] 博碩士論文|
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