CAREER: Modeling for Insights with an Open Source Energy Economy Optimization Model

职业：利用开源能源经济优化模型进行建模以获取洞察

• 批准号: 1055622
• 负责人: Joe DeCarolis
• 金额: $ 40.08万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-15 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1055622&HistoricalAwards=false
• 关键词: CAREER; Modeling; Insights; Open; Source

This research has four main goals: (i) institute a transparent process for Energy Economy Optimization (EEO) model development and application, (ii) generate new insights into energy system development at the national and global scale through the rigorous application of uncertainty analysis, (iii) involve analysts, decision makers, and students in the modeling effort through participation in a joint cognitive process of discovery, and (iv) use EEO models as a tool to teach students ranging from high school to graduate school to think critically about energy systems and environmental sustainability from a systems perspective. This project aims to advance the field of energy modeling by developing a new open source framework that includes Tools for Energy Model Optimization and Analysis (TEMOA). The TEMOA framework will be the first to include an EEO model whose source code and data are archived in a web-accessible repository, enabling anyone to verify results published in the literature. In addition, the TEMOA framework will include tools to enable model iteration in a parallel computing environment, which will dramatically improve the ability to conduct uncertainty analysis. Results will be disseminated directly to the energy modeling and operations research communities via conference presentations, published papers, and the collaborative relationships. In addition, the open source framework will be available to other researchers to modify and use for their own analysis. Results will also be integrated into educational activities ranging from high school to doctoral studies.

这项研究有四个主要目标：（i）为能源经济优化（EEO）模型开发和应用建立一个透明的过程，（ii）通过严格应用不确定性分析，在国家和全球范围内对能源系统发展产生新的见解，（iii）通过参与发现的联合认知过程，让分析师、决策者和学生参与建模工作，（iv）利用平等就业机会模式作为一种工具，教导从高中到研究生院的学生从系统的角度批判性地思考能源系统和环境的可持续性。 该项目旨在通过开发一个新的开源框架来推进能源建模领域，该框架包括能源模型优化和分析工具（TEMOA）。TEMOA框架将是第一个包含EEO模型的框架，该模型的源代码和数据存档在可通过网络访问的存储库中，使任何人都能够验证文献中发布的结果。此外，TEMOA框架将包括在并行计算环境中进行模型迭代的工具，这将大大提高进行不确定性分析的能力。研究结果将通过会议报告、发表论文和合作关系直接传播给能源建模和运筹学界。此外，该开源框架将可供其他研究人员修改和用于自己的分析。研究结果还将纳入从高中到博士研究的教育活动。