AI-Based HVAC Optimization
Energy Management Company
The AI-Based HVAC Optimization service adjusts temperature settings in commercial buildings, leading to approximately 15% savings in energy expenses, a 23% reduction in tenant comfort complaints, and about a 30% decrease in mechanical wear. This service has been launched in over 10 countries globally and functions as a managed software as a service (SaaS) with fees for making setpoint adjustments and ongoing maintenance. Key features include:
- Dynamic adjustment of HVAC settings and schedules to lower energy consumption and enhance comfort.
- Innovative optimization of digital twins of buildings using advanced machine learning techniques.
- Utilization of Building Management System (BMS) data, weather predictions, energy pricing, and estimated occupancy to boost efficiency.
- Visual aids integrated into the BMS that inform facility teams of actions taken and control mechanisms in place.
- Easy setup via software connectors, requiring no additional IT involvement and no Edge gateways.
How dcerone contributed:
- Developing the operational strategy for customer site onboarding.
- Refining the Service Level Agreement, terms of use, and ensuring cybersecurity compliance.
- Creating a go-to-market strategy, including positioning, pitch presentations, and competitor analysis.
- Structuring the technical roadmap, validating essential features, and collaborating with developers on scope and requirements.
- Developing the service delivery plan, which includes support strategies, training, team development, and customer success management.
- Producing marketing materials such as infographics, brochures, blogs, and more.