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AI and Data-Driven Energy Management: A Case Study of Hørsholm Municipality
技术
- 分析与建模 - 机器学习
- 传感器 - 电表
适用行业
- 建筑物
- 城市与自治市
用例
- 建筑能源管理
- 能源管理系统
挑战
丹麦霍斯霍姆市政府是一家公共建筑业主，面临着向可持续未来转型的挑战。与许多其他城市一样，人们认为可持续投资往往成本高昂。该市还面临着减少二氧化碳排放的压力，这项任务需要对其能源管理方法进行重大转变。我们面临的挑战是找到一种解决方案，不仅有助于减少碳排放，还能大幅节省成本。市政府需要一个解决方案，不需要在新技术上投资数百万美元，也不需要从根本上重新调整他们的生活方式。
关于客户
霍斯霍姆市政府是丹麦的一家公共建筑业主。该市致力于向可持续的未来过渡并减少二氧化碳排放。它正在积极寻求不需要对新技术进行大量投资或从根本上重新调整生活方式的解决方案。自 2021 年以来，该市一直有目的地致力于人工智能和数据驱动的能源管理。该项目是霍斯霍尔姆市政府、4B Consulting 和 Ento 之间的合作。
解决方案
该解决方案以人工智能和 100% 数据驱动的能源管理的形式出现。该市政府与 4B Consulting 和 Ento 合作实施该解决方案。人工智能每小时测量 16 个不同参数的用电量，这可能会影响单个物业的用电量。这些参数包括风速、风向、一周中的某一天、一年中的某一天、一天中的特定时间、太阳辐射等。除了电力消耗之外，Ento 的解决方案还用于监控和分析该市房地产投资组合的区域供暖、燃气和水消耗。目标是到 2023 年绘制霍斯霍尔姆市总建筑组合的消耗数据，并将该市的运营调整为 100% 数据驱动的能源管理。
运营影响
数量效益
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