Climate Change Data Portal
| DOI | 10.1016/j.egycc.2024.100127 |
| An investment behavioral modeling framework for advancing power system transformation toward renewable energy integration | |
| 发表日期 | 2024 |
| EISSN | 2666-2787 |
| 起始页码 | 5 |
| 卷号 | 5 |
| 英文摘要 | Financial incentives, such as carbon credits and feed-in tariffs, are effective policy tools to mobilize renewable energy investment for combating climate change. However, climate and policy uncertainties also induce substantial financial risks to power companies' investments. A company may view renewable energy as an opportunity or a risky business depending on its perception of how renewable technologies and energy policies evolve. To explore how the diverse response from individual companies affects the power system's adoption of renewables, this study develops an agent-based modeling framework that includes renewable technology advancement, market conditions, and changes in incentive programs in the agents' decision-making. Power companies (i.e., agents) are assumed profit-driven and have different risk attitudes toward climate and energy policy uncertainty. For illustration, we applied the method to the Texas power system as a case study where a group of agents are randomly generated to represent the power companies' aggregated behaviors. Agents' risk attitudes are inferred based on a survey, historical data, and model diagnosis. Results of future scenarios highlight renewable adoption prediction uncertainties and the need to develop holistic modeling approaches to facilitate energy policy and power system planning. This modeling framework creates a flexible representation of the power industry and serves as a building block of our vision toward holistic power system modeling and planning. We discuss future research directions that extend the framework through model coupling for system reliability assessment and improve agent representation regarding risk perception and market dynamics. |
| 英文关键词 | Climate change; Risk attitude; Renewable energy penetration; Agent-based modeling |
| 语种 | 英语 |
| WOS研究方向 | Energy & Fuels |
| WOS类目 | Energy & Fuels |
| WOS记录号 | WOS:001187686700001 |
| 来源期刊 | ENERGY AND CLIMATE CHANGE
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/288597 |
| 作者单位 | Lehigh University; University of Notre Dame |
| 推荐引用方式 GB/T 7714 | . An investment behavioral modeling framework for advancing power system transformation toward renewable energy integration[J],2024,5. |
| APA | (2024).An investment behavioral modeling framework for advancing power system transformation toward renewable energy integration.ENERGY AND CLIMATE CHANGE,5. |
| MLA | "An investment behavioral modeling framework for advancing power system transformation toward renewable energy integration".ENERGY AND CLIMATE CHANGE 5(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
