研究目的
To analyze the unique, critical and complex factors that affect the deployment of Concentrated Solar Power (CSP) in South Africa using a system dynamics approach.
研究成果
The study concludes that improved support for research and development (R&D) is the most effective way to enhance CSP adoption in South Africa. It also highlights the importance of policy interventions to address the unique challenges facing CSP, such as high tariffs and limited scalability. The findings suggest that with the right support, CSP can play a significant role in South Africa's future energy mix.
研究不足
The study's limitations include the reliance on approximations and expert opinions for some model parameters, which may not capture all real-world complexities. Additionally, the model's focus on South Africa may limit its applicability to other regions with different solar resources and policy environments.
1:Experimental Design and Method Selection:
The study used a system dynamics approach to model the factors affecting CSP adoption in South Africa. This included the development of a causal loop diagram (CLD) to identify key variables and their interactions.
2:Sample Selection and Data Sources:
Data were sourced from existing studies, policy documents, and expert opinions to parameterize the model.
3:List of Experimental Equipment and Materials:
The study utilized Vensim PLE software for system dynamics modeling.
4:Experimental Procedures and Operational Workflow:
The study followed five system thinking and modeling phases: problem structuring, casual loop modeling, dynamic modeling, scenario planning and modeling, implementation and organizational learning.
5:Data Analysis Methods:
The model was analyzed using the fourth order Runge-Kutta method of integration to simulate different scenarios of CSP adoption in South Africa.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容