Process integration (PI) is a sub-area within the chemical engineering discipline that was established in the 1970s. It focuses on the development and use of tools for the holistic design of chemical processes; emphasis is placed on the system-level interdependencies among process units. More recently, PI tools have been applied to renewable energy planning due to mounting concerns about climate change. This article reviews recent developments in PI tools for renewable energy planning, covering both pinch analysis and mathematical programming, and discusses promising prospects for future research. In particular, the role of artificial intelligence in enabling data-driven energy planning with PI is discussed as a priority topic.

过程集成（PI）是1970年代建立的化学工程学科的一个子领域。它专注于化学过程整体设计工具的开发和使用。重点放在过程单元之间的系统级相互依赖性上。最近，由于对气候变化的关注日益增加，PI工具已应用于可再生能源规划。本文回顾了可再生能源规划中PI工具的最新发展，涵盖了捏分析和数学编程，并讨论了未来研究的有希望的前景。特别是，将人工智能在利用PI实现数据驱动的能源计划中的作用作为优先主题进行了讨论。