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Title: | 影響電動車駕駛參與V2G之關鍵因素:科技接受模式之應用 A study of key factors influencing the participation of V2G by electric vehicle drivers: the application of technology acceptance model |
Authors: | 呂孫銘 Lu, Sun-Ming |
Contributors: | 許志義 謝焸君 Hsu, Jyh-Yih Hsieh, Ying-Jiun 呂孫銘 Lu, Sun-Ming |
Keywords: | 淨零碳排 再生能源 電動車 充電樁 電動車至電網 科技接受模式 結構方程模式 Net Zero Renewable Energy EV (Electric Vehicles) Charging piles V2G(Vehicle-to-grid) TAM (Technology Acceptance Model) SEM(Structural Equation Modeling) |
Date: | 2022 |
Issue Date: | 2022-09-02 15:27:11 (UTC+8) |
Abstract: | 隨著全球暖化、氣候變遷等環境問題頻繁出現,再生能源已然成為世界各國競相發展的重點,近年來,各國更紛紛提出淨零碳排路徑,其中,低碳運輸更被各國列為首要目標。然而電動車普及化的背後,必然伴隨著充電需求的增長,為了維持電力系統的穩定,台電積極發展多元電力,近來已有愈來愈多再生能源併入電網,不過多數再生能源皆為間歇性能源,無法像傳統發電機組,隨意控制發電量,因此若能導入「電動車至電網」的充放電技術,將電動車作為移動式的儲能裝置,不但可平衡電力系統之電壓與頻率,也能使電動車駕駛參與電力市場交易,賺取離尖峰時段之電價差。
本研究以科技接受模式為理論基礎,建構研究框架,接著針對各個構面設計題項,再以網路發放的方式進行問卷調查,最後以統計軟體SPSS28.0與AMOS26.0進行信效度分析及結構方程模式分析,以此驗證假設。
本研究結果顯示:「認知有用性」、「認知易用性」、「主觀規範」及「自發性」皆對「行為意圖」有顯著正向影響,「知覺風險」則對「行為意圖」有顯著負向影響;而「主觀規範」及「結果可說明性」會透過「認知有用性」間接影響「行為意圖」,「知覺便利性」會透過「認知易用性」間接影響「行為意圖」。 With the frequent emergence of environmental problems such as global warming and climate change, renewable energy has become the focus of the world`s competing development. In recent years, many countries have proposed a net-zero carbon emissions path, of which, low-carbon transport has been listed as the primary goal.
However, behind the popularization of electric vehicles, the demand for charging will inevitably increase. To maintain the stability of the power system, Taipower has been actively developing multiple power sources. Recently, more and more renewable energy sources have been integrated into the power grid, but most renewable energy sources are intermittent. Therefore, if the charging and discharging technology of "Vehicle-to-grid" can be introduced, EVs can be used as a mobile energy storage device, it can not only balance the voltage and frequency of the power system, but also enable the electric vehicle driver to participate in the electricity market. So, the electric vehicle driver can make arbitrage on electricity prices.
This study used the Technology Acceptance Model (TAM) as the basis for constructing the research framework, then designed questions for each factor of the framework, and then conducted a questionnaire survey by online distribution, and finally used the statistical software SPSS28.0 and AMOS26.0 to conduct reliability analysis, validity analysis, and structural equation modeling analysis to test the hypothesis.
The results of this study show that:
1. "Perceived Usefulness", "Perceived Ease of Use", "Subjective Norm" and "Voluntariness" all have significant positive effects on "Behavioral Intention".
2. "Perceived risk" has a significant negative impact on "Behavioral Intention".
3. "Subjective Norm" and "Result Demonstrability" indirectly affect "Behavioral Intention" through "Perceived Usefulness" "Perceived Convenience" indirectly affects "behavioral intention" through "Perceived Ease of Use". |
Reference: | ㄧ、中文文獻
1. 許志義、郭哲甫、蔡志祥、葉法明(2021),「電動公車至電網」營運模式成本有效性析:以台 北市公車為例」。《台灣能源期刊》,第 8 卷第 2 期〔民 110.6〕,頁 117-132,台北,經濟部能源局。(TSSCI 期刊)
2. 張勝發(2018),以整合性科技接受模式探討行動支付之使用意願,國立政治大學,經濟學系碩士論文
3. 丁柏楓(2015),探討學習者接受開放式數位學習平台意願因素之研究:海量網路開放課程案例,國立中興大學,資訊管理學系碩士論文
4. 郭裕元(2013),以科技接受模式探討影響消費者使用智慧電動車意圖之要素,國立成功大學,工程管理碩士在職專班碩士論文
二、英文文獻
1. Nic Lutsey and Michael Nicholas(2019). Update on electric vehicle costs in the United States through 2030.
2. Wolbertus, Rick, Maarten Kroesen, Robert van den Hoed & Caspar G. Chorus, 2018. Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments. Transportation Research. Part D: Transport and Environment, 62, 283-297.
3. Faria, Ricardo, Pedro Marques, Pedro Moura, Fausto Freire, Joaquim Delgado & Aníbal T. de Almeida, 2013. Impact of the electricity mix and use profile in the life-cycle assessment of electric vehicles. Renewable & Sustainable Energy Reviews, 24, 271-287.
4. Davis, F. D., Bagozzi, Richard P. and Warshaw, Paul R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
5. Davis, F. D. & Venkatesh, V. (2000) .A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204
三、網路資源
1. 每日頭條(2019年10月22日),V2G:歐美日發展經驗啟示
https://kknews.cc/zh-tw/car/gpbe4my.html
2. 綠色貿易資訊網(2021年12月10日),德國福斯看好電動車發展提5年擴大投資計畫
https://www.greentrade.org.tw/purchasing_info/%E5%BE%B7%E5%9C%8B%E7%A6%8F%E6%96%AF%E7%9C%8B%E5%A5%BD%E9%9B%BB%E5%8B%95%E8%BB%8A%E7%99%BC%E5%B1%95-%E6%8F%905%E5%B9%B4%E6%93%B4%E5%A4%A7%E6%8A%95%E8%B3%87%E8%A8%88%E7%95%AB
3. 鴻海科技集團(2021年3月25日),MIH電動車聯盟首次會員聚會 開啟【電動車開放平台】的新創旅程
https://www.honhai.com/zh-tw/press-center/press-releases/latest-news/579
4. 林鳳琪(2021年3月25日),殼牌加油站為何「棄油轉電」,搶當社區民眾的新好鄰居?遠見雜誌。https://www.gvm.com.tw/article/78609
5. 藍弋丰(2018年7月10日),油氣巨擘轉向電動車又一樁,英國石油買下英國最大電動車充電服 務公司。科技新報。
https://technews.tw/2018/07/10/bp-buys-chargemaster-britains-largest-ev- charging-company/
6. 經濟部(2021年10月26日),換電站變虛擬電廠!台電攜手Gogoro打造世界首座電動機車V2G 電池交換站。行政院國家永續發展委員會。https://nsdn.epa.gov.tw/archives/10797
7. 科技報橘(2021年11月10日),電動車變身「分散式小電廠」,V2G 技術如何改善缺電問題?
https://buzzorange.com/techorange/2021/11/10/what-is-v2g/
8. 科技報橘(2021年8月6日),【儲能新時代】台灣首座 V2G 充電樁啟用,電動車變身電網備援電力!
https://buzzorange.com/techorange/2021/08/06/taiwan-v2g-charge-port/
9. 行政院(2021年3月11日),前瞻基礎建設計畫—軌道建設。
https://event.motc.gov.tw/index.jsp?webid=201705040001 |
Description: | 碩士 國立政治大學 經濟學系 109258034 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0109258034 |
Data Type: | thesis |
DOI: | 10.6814/NCCU202201188 |
Appears in Collections: | [經濟學系] 學位論文
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