研究生: |
Truong Xuan Dan Truong Xuan Dan |
---|---|
論文名稱: |
基於權衡熱舒適度-家庭負擔能力空調消費之電價模型:以德里為例 Electricity pricing model based on thermal comfort-household affordability trade-off in AC consumption: the case of Delhi |
指導教授: |
喻奉天
Vincent F. Yu |
口試委員: |
Shih-Wei Lin
Shih-Wei Lin 周碩彥 Shuo-Yan Chou |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 工業管理系 Department of Industrial Management |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 英文 |
論文頁數: | 72 |
中文關鍵詞: | thermal comfort 、electricity pricing scheme 、residential consumption 、dissatisfaction index 、Kano model 、income level |
外文關鍵詞: | thermal comfort, electricity pricing scheme, residential consumption, dissatisfaction index, Kano model, income level |
相關次數: | 點閱:247 下載:0 |
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This study focuses on helping the government in constructing a pricing scheme which benefits all income classes in achieving a trade-off level in their comfortability and affordability in energy consumption. To illustrate the approach, we deeply research on the thermal factor, which is accounted for major part of the electric usage but is often ignored when the government design the policy. To ensure the thoughtfulness of the policy not only from the user’s side but also for the government’s side, four factors, namely, thermal comfort, electricity affordability, their trade-off level, and the government’s benefit ratio are also investigated. Their impacts on the pricing scheme are illustrated and analyzed in five scenarios based on the Delhi’s data. The solution coming from the simulated annealing algorithm suggests that with proper subsidy scheme based on usage amount, both government and income classes obtain their satisfactions where users have a higher trade-off level in their comfortability and affordability and government receives a higher benefit.
This study focuses on helping the government in constructing a pricing scheme which benefits all income classes in achieving a trade-off level in their comfortability and affordability in energy consumption. To illustrate the approach, we deeply research on the thermal factor, which is accounted for major part of the electric usage but is often ignored when the government design the policy. To ensure the thoughtfulness of the policy not only from the user’s side but also for the government’s side, four factors, namely, thermal comfort, electricity affordability, their trade-off level, and the government’s benefit ratio are also investigated. Their impacts on the pricing scheme are illustrated and analyzed in five scenarios based on the Delhi’s data. The solution coming from the simulated annealing algorithm suggests that with proper subsidy scheme based on usage amount, both government and income classes obtain their satisfactions where users have a higher trade-off level in their comfortability and affordability and government receives a higher benefit.
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