Remote HVAC Monitoring With Thermal Modeling for Energy Audits
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Solution Overview
Problem
Building control systems, such as HVAC, security, and lighting systems, often lack proactive maintenance, leading to inefficient operation, increased costs, and potential damage due to reactive maintenance approaches.
Innovation Solution
A remote system that communicates with building control systems to analyze data, develop thermal models, and provide energy audits, enabling predictive maintenance and improved operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If reactive maintenance approach is used (operating until failure), then operational simplicity is maintained, but system reliability deteriorates and damage occurs
Solution Approach 1:
The system performs preliminary actions by continuously monitoring building control system parameters and detecting potential failures before they occur. The remote system analyzes data trends, identifies anomalies, and alerts contractors proactively, enabling maintenance to be performed before system failure and damage occur.
Solution Approach 2:
The system implements feedback mechanisms where operational data from building control systems is continuously collected, analyzed, and used to generate alerts and recommendations. This closed-loop feedback enables proactive identification of issues and informs maintenance decisions, improving reliability while maintaining operational simplicity.
2Productivity
If remote monitoring and analysis system is implemented, then maintenance efficiency is improved, but device complexity increases
Solution Approach 1:
The remote system is designed with multi-functionality, serving multiple purposes: data collection, real-time monitoring, historical analysis, thermal modeling, energy auditing, and predictive maintenance. By consolidating these functions into a single platform, the system improves maintenance efficiency without proportionally increasing complexity.
Solution Approach 2:
The system performs self-service through automated data collection, analysis, and alert generation. The remote system autonomously monitors building control systems, detects anomalies, and provides maintenance recommendations without requiring constant human intervention, thereby improving efficiency while keeping operational complexity manageable.
3Loss of energy
If proactive maintenance is implemented, then operational costs are reduced, but measurement and detection difficulty increases
Solution Approach 1:
The system transitions from traditional single-point-in-time monitoring to multi-dimensional analysis by examining data across time, temperature, humidity, and operational parameters. This dimensional expansion enables early detection of failure patterns that would be invisible in conventional monitoring, reducing operational costs through proactive maintenance.
Solution Approach 2:
The system performs preliminary analysis of operational data to identify trends and anomalies before they manifest as failures. By analyzing data patterns and detecting early signs of deterioration, the system enables maintenance actions that prevent costly failures and reduce operational expenses.
Data Source
AI summary
A system that allows a contractor to remotely monitor and/or interact with its customers' building control systems, such as heating, ventilating and air conditioning (HVAC) systems, and analyze information obtained from the building control systems over time. Such a system may help the contractor monitor and diagnosis customer building control systems, setup service calls, achieve better customer relations, create more effective marketing opportunities, as well as other functions. In some cases, the disclosed system may include a controller that analyzes data from HVAC systems, determines a thermal model of a space environmentally controlled by an HVAC system, and provides an energy audit of the space that is environmentally controlled by the HVAC system. The controller may output a result of the energy audit to a user.