研究目的
To develop a system dynamic model to understand the dynamic behavior of factors that affect the solar PV capacity, and forecast the monthly solar PV capacity growth from 2018 to 2022 of the industry and business sector in Thailand.
研究成果
The research proposes a system dynamic model to forecast the solar PV capacity in Thailand's industrial and business sectors. Preliminary results show a significant increase in solar PV capacity. The final model will help government agencies in Thailand make more precise energy and capacity planning.
研究不足
The research is still in progress, and the preliminary results are based on a prototype system dynamic model. The actual relationships between factors are yet to be fully understood through the ongoing survey.
1：Experimental Design and Method Selection:
The research uses a system dynamics approach to model the complex relationships between factors affecting solar PV capacity.
2：Sample Selection and Data Sources:
A questionnaire survey was conducted with 100 sets from the business and industrial sectors in Bangkok and metropolitan area industrial estates.
3：List of Experimental Equipment and Materials:
Not explicitly mentioned.
4：Experimental Procedures and Operational Workflow:
The methodology includes defining the problem, literature review, drafting a system dynamic model, conducting a survey, analyzing data, and simulating the model.
5：Data Analysis Methods:
The system dynamic model is used to simulate and forecast the solar PV capacity growth.
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