IoT-Based AC Controlling with Energy and Carbon Emission Monitoring
IoT
Team Size
12 members
My Role
Product Manager & Technical Lead
SDG Impact
Project Impact
15%+ energy savings, 20 tons carbon reduction annually, 5-6 months payback period across retail chains
Project Overview
The IoT-Based AC Controlling System represents a breakthrough in smart building management, combining advanced IoT technology with real-time energy monitoring and carbon emission tracking. This innovative solution addresses the critical need for energy efficiency in commercial and residential spaces while providing comprehensive sustainability insights. Developed for major retail chains including Shwapno (ACI Logistic Supershop Chain) and Chillox (Burger Chain), this system optimizes air conditioning usage through intelligent scheduling, real-time monitoring, and predictive analytics. The platform not only reduces energy consumption but also tracks and reports carbon emissions, helping organizations meet their sustainability goals and reduce their environmental footprint. The system leverages cutting-edge IoT sensors, machine learning algorithms, and cloud-based analytics to provide unprecedented control and insight into cooling system performance. By automating AC operations based on occupancy patterns, weather conditions, and energy consumption data, the system ensures optimal comfort while minimizing energy waste and environmental impact.
Key Features & Advantages
Smart scheduling based on occupancy patterns and weather conditions
Real-time energy consumption and carbon emission monitoring
Proactive maintenance alerts and predictive analytics
Remote control via intuitive mobile app and web interface
Comprehensive energy reporting and optimization insights
Equipment lifespan extension through efficient operation
Integration with existing building management systems
Automated temperature and humidity control optimization
Technologies & Tools
Challenges Faced
Integrating with diverse AC systems and building infrastructure
Ensuring accurate energy consumption and carbon emission calculations
Managing real-time data processing from multiple IoT sensors
Providing reliable connectivity in commercial environments
Creating user-friendly interfaces for non-technical users
Solutions Implemented
Developed universal integration protocols for major AC manufacturers
Implemented advanced algorithms for precise energy and carbon tracking
Built scalable cloud infrastructure with edge computing capabilities
Deployed hybrid connectivity solutions (WiFi, LoRaWAN, cellular)
Created role-based dashboards with customizable views and alerts
Results & Impact
15%+ reduction in energy consumption across all deployed locations
20 tons of annual carbon emission reduction per installation
5-6 months average payback period for energy savings
30% extension in AC equipment lifespan through optimized operation
95% user satisfaction rate among facility managers
40% reduction in maintenance costs through predictive alerts