Scholarlink

<p>This work analyzes 2019 hourly data from the New York Independent System Operator (NYISO) energy generators to forecast pollutant emissions for 2030. Leveraging methods and insights from the Advanced Research Projects Agency–Energy (ARPA-E) Performance-based Energy Resource Feedback, Optimization, and Risk Management (PERFORM) project’s optimization tools and the Environmental Protection Agency (EPA) historical data, we produce a method to determine future emissions scenarios within the NYISO region to be used as part of operational studies. Integrating historical data with forecasting software, this study evaluates the impact of renewable energy variability on pollutant emissions, informing policy decisions for a sustainable energy future.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Pollutant emissions of conventional energy generators with increased renewable energy sources: a 2030 New York case study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月19日

查看全文
  • A. Andres F. Ramirez,
  • L. Alberto J. Lamadrid

摘要

This work analyzes 2019 hourly data from the New York Independent System Operator (NYISO) energy generators to forecast pollutant emissions for 2030. Leveraging methods and insights from the Advanced Research Projects Agency–Energy (ARPA-E) Performance-based Energy Resource Feedback, Optimization, and Risk Management (PERFORM) project’s optimization tools and the Environmental Protection Agency (EPA) historical data, we produce a method to determine future emissions scenarios within the NYISO region to be used as part of operational studies. Integrating historical data with forecasting software, this study evaluates the impact of renewable energy variability on pollutant emissions, informing policy decisions for a sustainable energy future.