Bentley Systems电力软件助力解决电力短缺

分类科技
地点美国
来源CP
发布时间2026/10/04 11:06

详情描述

美国正面临电力短缺挑战,人工智能数据中心需求的激增以及全面电气化进程,对该国老化的电网系统造成了巨大压力。据Bentley Systems估算,仅为支持人工智能数据中心,美国到2030年可能需要额外增加35吉瓦的电力容量。 Bentley Systems旗下的Power Line Systems(PLS)公司专注于电力传输基础设施的设计与分析软件,在电网扩展与现代化升级中发挥关键作用。Bentley首席执行官Nicholas Cumins表示,全球几乎所有新建输电线路的设计均使用PLS软件,随着公用事业部门加大对电网扩展和韧性的投入,该软件的重要性日益凸显。 目前,美国输电项目面临的主要挑战在于审批流程,相关项目往往因此延误数年甚至长达十年。PLS提供的工具能够协助工程师和监管机构更快速地评估替代路线、环境影响及项目成本。此外,通过数字化可视化技术,相关方可以向社区展示拟建输电基础设施的样貌,以此缓解公众疑虑。 PLS目前正通过模型上下文协议(MCP)服务器将人工智能整合进工程软件中。该技术支持人工智能助手与工程应用程序进行交互,并利用自然语言访问工程数据。
📋 简要摘要 ▸
Bentley Systems指出AI数据中心需求激增导致电力短缺,其Power Line Systems软件通过数字化设计助力电网现代化升级。
📋 完整原文 ▸
[来源: CP] [分类提示: NEWS] 标题: Bentley’s Power Line Systems Positioned to Help Address U.S. Electricity Shortage The United States is facing a growing electricity shortage as demand from artificial intelligence data centers and broader electrification puts increasing pressure on the nation’s aging power grid. Bentley Systems estimates that the country could need an additional 35 gigawatts of capacity by 2030 to support AI data centers alone. At the center of efforts to expand and modernize the grid is Power Line Systems (PLS), a Bentley Systems company specializing in software for designing and analyzing electricity transmission infrastructure. According to Bentley CEO Nicholas Cumins, PLS software is used in the design of nearly every new transmission line worldwide and is becoming increasingly important as utilities invest in grid expansion and resilience. A major challenge in the U.S. is not engineering but permitting, which can delay transmission projects for years or even a decade. PLS tools can help engineers and regulators evaluate alternative routes, environmental impacts and costs more quickly. Digital visualization can also show communities what proposed transmission infrastructure would look like, potentially helping address public concerns. PLS is also incorporating artificial intelligence into its engineering software through Model Context Protocol (MCP) servers. The technology allows AI assistants to interact with engineering applications and access engineering data using natural-langu