csp工厂建模指南和系统顾问模型(SAM)的遵从性

Devon Kesseli, M. Wagner, R. Guédez, C. Turchi
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引用次数: 7

摘要

准确地模拟风险、成本和电力输出对于集中太阳能发电项目的融资和推进至关重要。为了满足这一需求,一组光热发电专家创建了一份指导性文件,名为SolarPACES可融资光热发电收益评估指南[1]。为了使这些信息更容易获得,并允许涉众根据建议测试特定的模型,这些指导方针被浓缩成一个基于电子表格的检查表。清单应用于NREL的系统顾问模型(SAM)软件,为清单组和SAM开发团队提供有用的反馈。这项研究显示了SAM和指南之间的强烈一致性,证明了指南在模型验证中的使用,并对SAM提出了一些改进建议。准确地模拟风险、成本和电力输出对于集中太阳能发电项目的融资和推进至关重要。为了满足这一需求,一组光热发电专家创建了一份指导性文件,名为SolarPACES可融资光热发电收益评估指南[1]。为了使这些信息更容易获得,并允许涉众根据建议测试特定的模型,这些指导方针被浓缩成一个基于电子表格的检查表。清单应用于NREL的系统顾问模型(SAM)软件,为清单组和SAM开发团队提供有用的反馈。这项研究显示了SAM和指南之间的强烈一致性,证明了指南在模型验证中的使用,并对SAM提出了一些改进建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CSP-plant modeling guidelines and compliance of the system advisor model (SAM)
Accurately modeling risks, costs, and electricity output is essential to the financing and advancement of concentrating solar power projects. To address this need, a group of CSP experts created a guideline document, titled SolarPACES Guideline for Bankable STE Yield Assessment [1]. To make this information more accessible and allow stakeholders to test specific models against the recommendations, the guidelines have been condensed into a spreadsheet-based checklist. The checklist was applied to NREL’s System Advisor Model (SAM) software, providing useful feedback to both the checklist group and the SAM development team. This study showed strong agreement between SAM and the guidelines, demonstrated the use of the guidelines in model validation, and resulted in several recommended improvements to SAM.Accurately modeling risks, costs, and electricity output is essential to the financing and advancement of concentrating solar power projects. To address this need, a group of CSP experts created a guideline document, titled SolarPACES Guideline for Bankable STE Yield Assessment [1]. To make this information more accessible and allow stakeholders to test specific models against the recommendations, the guidelines have been condensed into a spreadsheet-based checklist. The checklist was applied to NREL’s System Advisor Model (SAM) software, providing useful feedback to both the checklist group and the SAM development team. This study showed strong agreement between SAM and the guidelines, demonstrated the use of the guidelines in model validation, and resulted in several recommended improvements to SAM.
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