Integrated Assessment of Electricity Dynamic Pricing in Buildings

学生名:張　瑶

研究テーマ:English

(日本語)

入学年月:2014.10

修了年月:2017.09

取得学位:博士（工学）

論文概要:This study investigates the role of electricity dynamic pricing (DP) in addressing global challenges related to energy shortages and environmental pollution. By reviewing the development of smart grids and DP systems in key countries, the research highlights their significance in improving energy efficiency and promoting decarbonization. Using experimental data from Kitakyushu, Japan, involving around 200 households and 50 offices, the study analyzes the impact of DP on energy consumption, cost performance, and demand response behaviors.

The findings reveal that DP effectively reduces peak electricity loads when paired with demand response actions or energy-saving technologies. In residential buildings, factors such as temperature, household size, and consumer awareness influence DP effectiveness. Similarly, in office buildings, DP achieves significant energy reductions, particularly during peak pricing periods. The study also identifies challenges, including the need for clear standards and effective implementation strategies.

Further, the research evaluates the cost performance of DP under two scenarios: current conditions and demand response scenarios. Results indicate that without demand response, DP alone may not yield economic benefits for consumers. However, with even minimal electricity-saving actions, DP can achieve substantial cost reductions. Additionally, integrating energy-saving technologies, such as photovoltaic systems or distributed energy systems, enhances the economic and environmental benefits of DP. For instance, a combined system of DP and distributed energy technologies can achieve annual cost savings of 15.3%.

This study provides practical insights into optimizing DP systems and integrating energy-saving technologies for residential, commercial, and public buildings. It offers valuable recommendations for policymakers and energy companies to enhance energy efficiency, reduce carbon emissions, and support the transition to a low-carbon future.