Demand Response and Lifestyle on Residential House of Higashida Smart Community

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学生名Tran Le Na

研究テーマ:Demand Response and Lifestyle on Residential House of Higashida Smart Community

入学年月:2017.10

修了年月:2019.09

取得学位:修士(工学)

論文概要:This study explores the relationship between residential energy use and lifestyle in the context of sustainable development, focusing on the Higashi Smart Community in Kitakyushu, Japan. As urbanization and population growth increase global energy demand, improving energy efficiency becomes essential to address environmental challenges, including greenhouse gas emissions and resource depletion. Smart cities and communities aim to integrate high-tech solutions with sustainability by minimizing energy use and promoting low-carbon lifestyles.

The research examines energy consumption patterns in 12 electric-only multi-dwelling households using data collected from Panasonic electric meters. Energy usage was analyzed across four factors: space (living room, kitchen, bedroom, bathroom), time (occupancy), user types (elderly, parents, kids), and household behaviors. Results show that energy demand varies significantly based on thermal comfort, human behavior, housing design, family structure, and occupancy levels. These findings highlight the complexity of residential energy use and the inadequacy of traditional methods, such as smart meter data and surveys, to fully capture consumption patterns.

To address this, the study proposes using energy models to predict consumption based on correlations between influencing factors. These models can provide insights into the role of household appliances, housing design, and lifestyle on energy usage. By integrating Information and Communication Technology (ICT) tools such as smart meters, Home Energy Management Systems (HEMS), and Artificial Intelligence (AI), the study bridges analog and digital data for better energy management.

The methodology combines smart meter data, social surveys, and EnergyPlus simulations to identify correlations and refine energy models. The findings provide practical recommendations for reducing residential energy consumption while maintaining comfort. This research contributes to the implementation of HEMS in Japanese Smart Communities and offers valuable insights for developing sustainable, low-carbon cities globally.