Heating Duty Cycle Control for Multi-Unit Energy Management
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Solution Overview
Problem
Existing energy management systems in commercial buildings struggle to monitor and control energy consumption effectively, particularly in temperature control, due to lack of real-time monitoring and personalized control, leading to unnecessary energy waste and difficulty in identifying the source of energy inefficiencies.
Innovation Solution
A system comprising intelligent nodes with monitoring and controlling modules installed in each unit, which transmit data to a central server for real-time monitoring and control of heating devices, allowing users to adjust the duty cycle of heating devices based on usage patterns and environmental factors, thereby reducing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time monitoring and control systems are implemented, then energy management efficiency is improved, but device complexity increases
Solution Approach 1:
The system divides the building into multiple zones or units, each with its own monitoring and control capabilities. This segmentation allows for localized energy management decisions while maintaining overall system coordination, improving efficiency without requiring a monolithic complex system.
Solution Approach 2:
The system implements continuous feedback loops where energy consumption data is monitored in real-time, analyzed, and used to automatically adjust control parameters. This feedback mechanism enables dynamic optimization of energy usage without requiring constant manual intervention, thereby improving management efficiency while keeping the control architecture manageable.
2Loss of energy
If personalized temperature control for each unit is implemented, then energy consumption optimization is improved, but device complexity increases
Solution Approach 1:
The system applies different control strategies and parameters to different units or zones based on their specific characteristics, occupancy patterns, and thermal properties. This localized approach optimizes energy consumption for each unit individually without requiring a completely separate control system for each, thereby reducing overall complexity while achieving personalized control.
Solution Approach 2:
The system dynamically adjusts control parameters such as temperature setpoints, duty cycles, and operational schedules based on real-time conditions and historical data. By changing parameters rather than redesigning the entire control architecture for each unit, the system achieves personalized optimization with minimal increase in complexity.
3Ease of operation
If remote monitoring and control capabilities are added, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system implements a unified communication platform that handles multiple functions including remote monitoring, control commands, data logging, and alert notifications through a single integrated interface. This multi-functional approach provides comprehensive remote capabilities without requiring separate communication systems for each function, thereby improving ease of operation while limiting complexity growth.
Data Source
AI summary
Methods and systems relating to the monitoring and control of heating devices in multiple units in one or more buildings. An intelligent node, containing a monitoring module and a controlling module, is installed for each unit in a building. The monitoring module monitors the activation and deactivation of the heating device or, alternatively, directly measures the amount of power used by the heating device. This monitoring data is transmitted to a central server and is sent to a user. The user can control the duty cycle of the heating device and, as such, can directly cause savings in energy. The duty cycle for each heating device is adjusted by the controlling module based on the user's commands. The system can also be used so that the duty cycle is set such that energy settings for adjacent units are similar.