St. Regis Boosts Energy Efficiency with AI-Optimized Chiller Plant Operations
St. Regis Hotel achieved 9% energy savings and reduced reporting time by automating chiller plant operations using AI-driven optimization, fault detection, and real-time data analytics.
Location
444 Phayathai Road, Pathumwan District, Bangkok 10330
Property Type
Mixed-use
HVAC Details
Chiller Plant
Reduced Reporting Time
Automated reporting reduced the time required for preparing operational and performance reports.
Optimized Operations
Improved visibility and control of the chiller plant, ensuring efficient and cost-effective operation.
9% Energy Savings
Achieved an energy savings of approximately 9% from improved chiller plant performance and reduce energy consumption.
Client's Challenges
No Automation for Chiller Plant
The hotel relied on manual chiller plant operations, which were inefficient and costly.
Energy Inefficiency
Manual controls led to higher energy consumption, negatively impacting operational costs.
Lack of Monitoring System
Without real-time monitoring, it was difficult for the client to understand the chiller plant’s performance or quickly identify and resolve issues.
Our Solution
Chiller Plant Energy Optimization
Integrated the Alto Autopilot Chiller Plant app, utilizing AI and machine learning to optimize energy consumption and reduce carbon emissions.
Automated Reporting
Deployed the Auto Plant Report app to automate the generation of executive summary reports, reducing manual data processing time.
Fault Detection & Diagnosis (FDD)
Implemented the FDD app to detect deviations and fault conditions using machine learning for early pattern-based fault prediction.
Data Analytics Dashboard
Provided a real-time and historical data dashboard with alerts and recommendations, allowing for efficient management of energy and resource usage.
Implementation Process
1
Energy Audit
1 - 2 days
Conducted a detailed energy audit to assess the current chiller plant operations and identify savings opportunities.
2
Proposal of Alto Applications
1 week
Presented the AI-driven Alto solutions with potential energy savings projections.
3
Sensor & Hardware Installation
4 - 6 weeks
Installed necessary sensors (temperature, flow, BTU meters) and the Alto CERO Box for real-time monitoring.
4
Software Commissioning
1 week
Configured and tested the software for smooth integration.
5
Handover & Onboarding
1 week
Trained staff on system use and provided comprehensive onboarding.
6
Updates & Support
On-going
Continued system optimization and support to ensure peak performance.
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