Saving with Adaptive Automation Across a Portfolio of Properties
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Verdigris Adaptive Automation
技术栈
- AI
- Real-time Data Processing
- Building Management Systems (BMS)
实施规模
- Departmental Deployment
影响指标
- Cost Savings
- Energy Saving
技术
- 功能应用 - 远程监控系统
- 分析与建模 - 预测分析
适用行业
- 建筑物
适用功能
- 设施管理
用例
- 建筑能源管理
- 预测性维护
服务
- 系统集成
关于客户
Innovatus Capital Partners is a New York-based boutique specialty finance firm managing $1.6 billion in assets. The firm focuses on capitalizing on disruption and growth opportunities, particularly in the commercial real estate sector. Innovatus is committed to integrating emerging technologies across its nationwide portfolio of commercial buildings to enhance operational efficiency and reduce costs. The firm operates in various locations, including California and Florida, and is known for its innovative approach to asset management. By leveraging real-time data and AI, Innovatus aims to optimize energy usage and improve the performance of its properties, aligning with its investment objectives.
挑战
Innovatus Capital Partners, a New York-based boutique specialty finance firm with $1.6 billion in assets under management, faced the challenge of integrating emerging technologies across its nationwide commercial building portfolio. With a focus on capitalizing on disruption and growth, Innovatus recognized the opportunity to use real-time data and AI to reduce energy costs. The firm turned to Verdigris to implement Adaptive Automation at three initial properties in Orlando, FL, Miami, FL, and San Rafael, CA. The challenge was to optimize energy usage and demand savings in these commercial office buildings, which ranged from 120,000 to 165,000 square feet.
解决方案
The solution involved implementing Verdigris Adaptive Automation, which functions similarly to a self-driving system for buildings. This technology enables building management systems (BMS) to autonomously adapt to changing conditions, ensuring continuous and optimized performance. The approach combined real-time, high-frequency data from Verdigris energy meters with data from the BMS and third-party sources like weather data. Verdigris' AI used this data to develop forecasts on a 15-minute interval. The focus was on optimizing two key areas: reducing overnight chiller and pump usage and slightly relaxing supply temperatures during the day. By doing so, the system aimed to make the cooling supply more responsive to building demand without compromising occupant comfort.
运营影响
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