Background Story
A major metropolitan hospital, recognized for its advanced medical care, faced mounting challenges in energy efficiency and sustainability. With round-the-clock operations, energy-intensive equipment, and strict indoor air quality requirements, the hospital was among the highest energy consumers in the healthcare sector.
Rising operational costs and stringent carbon neutrality targets energy efficiency a strategic priority. The hospital sought a holistic digital energy management system to improve energy efficiency, reduce costs, and support sustainability goals without compromising patient safety.
Problems
The hospital complex encountered several energy management issues:- Excessive HVAC Operation: Operating rooms required controlled airflow, but inefficiencies in scheduling led to unnecessary energy consumption
- High Equipment Load: Medical imaging devices, sterilization units, and lighting significantly increased electricity demand
- Lack of Data-Driven Insights: Without real-time monitoring, inefficiencies went undetected, leading to higher costs
- Sustainability and Compliance Pressures: The hospital sought to lower its carbon footprint while complying with healthcare energy efficiency regulations
Main Objective
The primary goal of the project was to implement a data-driven energy management system that could:
- Provide real-time monitoring of energy consumption across hospital wings
- Identify inefficiencies and anomalies in HVAC operations and lighting through data analytics
- Provider user-specific dashboards and reports
- Optimize overall energy consumption
- Direct connection to BMS to avoid data discrepancies
- Maintain operational efficiency while ensuring patient comfort and safety
Approach
To ensure appropriate tracking of energy consumption:
- ITOT Integration: Smart meters and sensors were installed were connected to the platform via API, allowing facility managers to access detailed consumption patterns and trends
- Cloud-Based Data Integration: Energy data from sensors was transmitted to a secure, cloud-based platform, allowing facility managers to access detailed consumption patterns and trends indefinitely
- AI-Driven Analytics and Alerts: Machine learning algorithms analyzed energy patterns, detecting anomalies and predicting equipment failures before they occurred
- Energy Dashboarding: The system provided targeted energy dashboards to keep track of relevant and problematic equipment
- Automated Carbon Reporting and Compliance: The platform automatically calculated and logged carbon emissions data, generating reports aligned with government and industry sustainability standards
- User Training: Facility operators and energy managers were trained to effectively use the system, interpret data insights, and implement energy-saving measures
Results
The company achieved substantial improvements in both energy efficiency and operational performance:
- 8% Reduction in Energy Consumption: Tracked from the efficient HVAC and lighting operations
- Improved Sustainability Performance: As of a reduction in energy consumption, sustainability metrics displayed improvement
- Extended Equipment Lifespan: Reduced HVAC strain and minimized maintenance costs
- Streamlined Carbon Reporting: Automated energy tracking improved sustainability reporting and regulatory compliance