EnerRight Intelligent Limited

RetroLogic AI Solutions

RetroLogic AI is an innovative technology that drives sustainable architectural development. Initially, we acknowledge several prevalent challenges in the current market:1.&nbsp; &nbsp;&nbsp;Over 80% of commercial buildings in Hong Kong utilize various proprietary systems, lacking integration with artificial intelligence and asset management systems.2.&nbsp; &nbsp;&nbsp;High electricity expenses, with over half of the power consumption in commercial buildings originating from air conditioning systems.3.&nbsp; &nbsp;&nbsp;High maintenance costs without offering value-added services.4.&nbsp; &nbsp;&nbsp;Extreme weather conditions posing operational challenges to buildings. Existing solutions in the market include recalibration or renovation schemes, the integration of artificial intelligence with building information modeling, and RetroLogic AI. Within 'RetroLogic,' 'Retro' conveys notions of restoration and revival, while 'Logic' signifies innovation and creation, collectively embodying the concept of innovative restoration. 'AI' underscores the application of artificial intelligence in the system. The overarching idea is to achieve a fusion of antiquity and innovation in architectural refurbishments through intelligent technology.Our success story includes the retrofitting project of the cooling tower at Times Square. This project encountered the following challenges:1.&nbsp; &nbsp;&nbsp;Building age exceeding 30 years.2.&nbsp; &nbsp;&nbsp;Ineffective integration of various proprietary systems.3.&nbsp; &nbsp;&nbsp;Need to meet ESG ratings and indoor air quality (IAQ) standards.4.&nbsp; &nbsp;&nbsp;Reliance on manual operations resulting in suboptimal efficiency.5.&nbsp; &nbsp;&nbsp;Significant increase in electricity expenses.6.&nbsp; &nbsp;&nbsp;Lack of an installed building information modeling system.Following the implementation of electricity-free cooling technology, the condenser water temperature decreased by approximately 1 degree, with the condenser water pipe surface temperature plummeting by as much as 12 degrees. Through data monitoring, we could clearly observe the performance of the electricity-free cooling technology. This technology boasts a robust system architecture and operational model, validated through numerous trials and applications showcasing its stability and reliability.RetroLogic AI, when applied to the chiller plant system at Times Square, successfully optimized the performance of the cooling tower, reducing energy consumption. The chiller plant system efficiency increased by over 7%, resulting in daily savings exceeding 2,000 kilowatt-hours of electricity during high-temperature days.More details, welcome to visit our website.

Under the Times Square project, RetroLogic AI combines the high solar reflec-tance iPaint coating with artificial intelligence (AI) technology to anticipate future cooling load demands, analyze environmental data to implement AI self-learning, and select the most energy-efficient operating modes to reduce energy consumption. The project integrates Building Information Modeling (BIM), Geo-graphic Information System (GIS), Internet of Things (IoT), and Building Manage-ment System (BMS) data to optimize the cooling tower system, enhance energy efficiency, meet ESG requirements, and achieve sustainable development goals.

Times Square project - Revolutionizing Building Retrofitting with Intelligent Solutions

Under the Times Square project, RetroLogic AI combines the high solar reflectance iPaint coating with artificial intelligence (AI) technology to anticipate future cooling load demands, analyze environmental data to implement AI self-learning, and select the most energy-efficient operating modes to reduce energy consumption. The project integrates Building Information Modeling (BIM), Geographic Information System (GIS), Internet of Things (IoT), and Building Management System (BMS) data to optimize the cooling tower system, enhance energy efficiency, meet ESG requirements, and achieve sustainable development goals.

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