與 Arup 合作，提供 HVAC 優化的可行性研究以及冷凍機組優化 AI 解決方案的實施
HVAC系統佔建築總能源的40%以上。因此，HVAC優化對於降低HVAC能耗同時保持乘員舒適度和平穩運作至關重要。為了發現潛在的節能機會並制定節能實施方案，西部數據已聘請 Arup 和 Neuron 為該計畫實施 IIOT。
Arup 和 Neuron 審查了與 BMS、HVAC、能源管理系統相關的現有系統設置，以確定採用先進分析、機器學習來預測和優化系統運行配置的機會。除了可行性研究之外，Arup 和 Neuron 還交付了一項試點實施，為冷水機組開發機器學習預測和最佳化模型，其中包括冷負荷和冷量。能耗預測、異常數據&模式檢測和冷卻裝置優化。
Electrical & Mechanical Services Department unlocks efficiency for over 400 government buildings with Neuron’s City-Wide GIS Monitoring and performance benchmarking.
Neuron delivers a universal data platform, enabling AI/ML optimization for chiller plants and rule-based fault diagnosis, significantly enhancing property management efficiency and operational experience.
Neuron BIM Asset Management and AI algorithms enabled energy savings and predictive maintenance, providing Facility Management with data-driven insights for improved efficiency.
Electrical & Mechanical Services Department unlocks efficiency for over 400 government buildings with Neuron’s City-Wide GIS Monitoring and performance benchmarking.
