Building Equipment Energy Control With Unit-Level Simulation Feedback
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Solution Overview
Problem
Existing building energy management systems do not account for equipment operation performance and product specifications, leading to suboptimal energy management and lack of quantifiable energy savings.
Innovation Solution
A building equipment energy management system that performs simulation modeling for each equipment unit, incorporating performance and operation information, calculates optimized control set values, and corrects errors through real-time analysis to enhance energy savings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If BEMS analyzes operation data and environmental data to derive optimal control target values, then control accuracy is improved, but energy management effectiveness deteriorates because equipment operation performance is not considered
Solution Approach 1:
The system performs simulation modeling in advance to predict energy usage under different control scenarios before actual operation. This preliminary action allows the system to pre-determine optimal control set values that consider both environmental conditions and equipment performance characteristics, avoiding the need to react to suboptimal performance after the fact.
Solution Approach 2:
The system continuously compares actual energy usage with predicted energy usage from simulation models, calculates error rates, and uses this feedback to correct and update equipment performance information. This closed-loop feedback mechanism ensures that the simulation models remain accurate and reflect actual equipment performance, enabling持续 optimization of energy management.
2Loss of energy
If simulation modeling is performed for each equipment unit with performance information, then energy optimization is improved, but system complexity increases
Solution Approach 1:
The system divides the building into individual equipment units (air conditioners, boilers, pumps, etc.) and creates separate simulation models for each unit. This segmentation allows the complex problem of overall building energy optimization to be broken down into manageable unit-level models, each considering specific equipment performance characteristics and operating conditions.
Solution Approach 2:
The system uses a unified simulation modeling framework that can handle multiple types of equipment units through standardized interfaces and data structures. The correction module and error rate calculation mechanism serve universal purposes across all equipment types, reducing the need for equipment-specific complex processing logic.
3Measurement precision
If real-time error calculation and model correction are performed, then measurement precision is improved, but processing time increases
Solution Approach 1:
The system performs error rate calculation and model correction selectively rather than continuously for all parameters. By focusing computational resources on correcting only the most significant discrepancies between predicted and actual energy usage, the system maintains model accuracy while avoiding unnecessary processing overhead.
Data Source
AI summary
Provided is a building equipment energy control system, the system including: a library configured to receive information on an equipment unit from a DDC device controlling a plurality of equipment units installed in a building, and store the received information; a modeling module configured to retrieve information on the equipment unit from the library and perform simulation modeling for the equipment unit to calculate energy usage; a control module configured to generate a control command for the equipment unit based on the energy usage calculated by the modeling module and provide the control command to the DDC device; and a correction module configured to calculate an error rate between actual energy usage of the equipment unit and the calculated energy usage and correct information on the equipment unit. Therefore, it is possible to derive an optimized control set value for each equipment unit by performing simulation modeling for various equipment units, so that energy saving performance and operating efficiency of the equipment units can be increased. In addition, by providing equipment performance information and equipment operation information for each equipment unit to a library in a modeling process, it is possible to optimize a control according to product specifications and operating characteristics of each equipment unit.