Technical feasibility analysis of expanding PV adoption in smart community Higashida

学生名：BAI YIHANG

研究テーマ：Technical feasibility analysis of expanding PV adoption in smart community Higashida

入学年月:2021.10

修了年月:2023.09

取得学位：修士（工学）

論文概要:This paper presents the construction of a photovoltaic generation-storage-sharing system using TRNSYS to investigate smart communities. This system is controlled by two different control logics, one logic is used to control the building side components and the other logic is used to control the shared side components, and a case study involving 13 buildings in Higashida was conducted. Two scenarios were established: one with rooftop photovoltaic installations only and the other incorporating PV power plant in addition to rooftop installations. For Scenario 1, after analyzing the energy consumption characteristics of each building and measuring the roof area of each building, the number of PV panels to be installed in the building can be derived, and then by comparing the power generation of photovoltaic panels with the energy consumption characteristics, the capacity of the batteries to be installed in each building can be derived. For Scenario 2, this paper assumes that there is a large PV power generation plant in the neighborhood of the community. This PV plant will supply power to this community along with the PV panels in the system. In Scenario 2, we explore how much PV panel and battery capacity would be needed to cover 50% of the energy use.Results show that in scenario one, except for three buildings that have excess power that can be shared with other buildings， most buildings' PV panels fall short in generating substantial electricity. Since the total hour-by-hour power generation of the system does not exceed the total hour-by-hour energy consumption, no additional batteries need to be added to the system. In scenario two, a photovoltaic coverage of 56% was achieved by progressively increasing utility-scale solar generation capacity and integrating storage batteries. These findings offer valuable insights into optimizing energy strategies for enhancing local energy sustainability.