Building Power Operation Planning for HVAC Demand Control
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Solution Overview
Problem
Existing power management systems struggle to effectively control demand fluctuations in buildings with large power loads, such as air conditioning heat source devices, leading to increased average power demand exceeding contract demands, resulting in penalties and inefficiencies in smart grid systems.
Innovation Solution
An operation management apparatus and method that includes an air conditioning thermal load prediction unit, power generation output prediction unit, and operation planning unit to prepare and adjust air conditioning heat source and power facility operation plans, ensuring purchased power aligns with predicted loads and reducing excess demand through real-time control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If load power and power output are adjusted separately, then operational simplicity is maintained, but power demand fluctuation increases and contract demand is exceeded
Solution Approach 1:
The patent merges the separate control of load power and power output into a unified control system. The operation management apparatus simultaneously manages both air conditioning heat source apparatuses and power supply devices (generators/batteries), coordinating their operations to achieve stable power demand control while maintaining operational simplicity through integrated management.
Solution Approach 2:
The system dynamically adjusts both load power and power output based on real-time conditions. The operation management apparatus continuously monitors power demands and supply capabilities, and adaptively modifies operation plans for both consumption and generation sides to prevent contract demand exceedance while responding to changing environmental and operational conditions.
2Productivity
If air conditioning heat source apparatus operates according to operation plan, then operational efficiency is improved, but local power consumption increases due to weather and environment fluctuations
Solution Approach 1:
The system prepares advance operation plans for air conditioning heat source apparatuses based on forecasted weather and environmental conditions. By pre-calculating optimal operation schedules that anticipate future power demands, the system maintains high operational efficiency while preventing unexpected power consumption spikes that would exceed contract demands.
Solution Approach 2:
The operation management apparatus implements feedback mechanisms that monitor actual power consumption against predicted values. When weather or environmental conditions cause deviations from planned power consumption, the system adjusts subsequent operation plans to compensate, maintaining efficiency while controlling overall power demand within contractual limits.
3Measurement precision
If power demand is controlled to follow load device fluctuation, then demand control accuracy is improved, but system complexity increases
Solution Approach 1:
The operation management apparatus serves multiple functions within a single system: it manages air conditioning heat source apparatuses, coordinates power supply devices (generators and batteries), forecasts power demands, generates operation plans, and executes real-time control. This multi-functional approach achieves accurate demand control following load fluctuations while avoiding the complexity of multiple separate specialized systems.
Data Source
AI summary
An operation management apparatus includes an air conditioning thermal load prediction unit configured to calculate an air conditioning thermal load predicted value indicating a predicted amount of heat required to adjust temperature to a pre-set temperature on a day-of-prediction, a power generation output prediction processing unit configured to calculate power generation output prediction data indicating a generated power obtained by a generator within the day-of-prediction, and an operation planning unit configured to prepare an air conditioning heat source operation plan, and determines a purchased power and the generated power using the power generation output prediction data to thereby prepare a power facility operation plan indicating a schedule of a power output from the purchased power source and the generator, so that the purchased power per predetermined time supplied from a purchased power source of a commercial power system becomes a target value.