MBK Transforms Chiller Plant Efficiency with AI-Driven Optimization
MBK's mixed-use facility achieved 15% annual savings, streamlined reporting, and improved tenant satisfaction by implementing AI-driven chiller plant optimization, fault detection, and automated reporting solutions.
Fewer Complaints
Improved environmental conditions led to fewer complaints from building visitors and tenants, enhancing their overall experience.
Reduced Reporting Time
Automated reports significantly reduced the time spent on preparing data and performance reports.
15% Annual Savings
Achieved energy cost savings of approximately 15% from baseline through AI-driven chiller plant optimization and controls.
Location
444 Phayathai Road, Pathumwan District, Bangkok 10330
Property Type
Mixed-use
HVAC Details
Chiller Plant
Client's Challenges
Lack of Automation
The chiller plant operations were entirely manual, leading to inefficiencies in energy usage and control.
Energy Inefficiency
Manual controls made it difficult to optimize the energy performance of the chiller plant, increasing operational costs.
Limited Monitoring & Diagnosis
Without a proper monitoring system, it was hard for the client to understand the real-time status of the chiller plant or identify potential problems.
Our Solution
Chiller Plant Energy Optimization
Implemented the Alto Autopilot Chiller Plant app, utilizing AI and machine learning to optimize energy consumption and reduce the carbon footprint.
Automated Reporting
Deployed the Auto Plant Report app to generate daily, weekly, and monthly executive summary reports, reducing the time spent on manual data processing.
Fault Detection & Diagnosis (FDD)
The FDD app was installed to monitor sensor data for deviations, allowing for proactive fault detection and diagnosis using machine learning algorithms.
Data Analytics Dashboard
Provided real-time and historical data analytics, along with alerts and actionable recommendations, helping the client better manage energy and resource usage.
Implementation Process
1
Energy Audit
1 - 2 days
Conducted an energy audit to assess the current condition of the chiller plant and identify optimization opportunities.
2
Proposal of Alto Applications
1 week
Presented the Alto solution, including predicted savings from energy optimization.
3
Sensor & Hardware Installation
4 - 6 weeks
Installed additional sensors (temperature, flow, BTU, digital power meter, and IAQ) and the Alto CERO Box.
4
Software Commissioning
1 week
Configured and tested the software to ensure seamless functionality.
5
Handover & Onboarding
1 week
Trained the client's team on system usage and capabilities.
6
Maintenance & Support
On-going
Provided continuous updates and support for system optimization and performance monitoring.
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