Heat Pump Control With PV Forecasting for Building Energy Offset

Solution Overview

Problem

Conventional heat pump control systems fail to achieve optimal energy saving effects due to their reliance on local state information, neglecting interactions with other thermal systems within the building, and not comprehensively managing the energy offset between heat pumps and photovoltaic power generation systems.

Innovation Solution

An integrated control system and method for a heat pump that optimizes energy use in solar power generation buildings by using real-time data from various sources, including the heat pump, external environment, room, and photovoltaic power generation system, to derive dynamic behavior prediction values using multiple interconnected models, and then searching for optimal control variables to minimize net energy consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If conventional heat pump control uses only local state information, then the control system is simple, but the energy saving effect is insufficient

Engineering Contradiction:

Improveenergy saving effectVSAvoidcontrol system complexity

Core Design Contradiction:

Loss of energyVSDevice complexity

Solution Approach 1:

The patent merges the heat pump control system with the photovoltaic power generation system into an integrated control system. This combination allows the system to comprehensively manage both energy consumption and energy generation, consider the energy offset effect between the two systems, and achieve optimal energy saving effects that cannot be achieved by independent control of each system.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system uses prediction models to forecast future states of the heat pump and photovoltaic system before making control decisions. By predicting future energy generation and consumption patterns, the system can proactively adjust control variables to optimize energy saving effects rather than merely reacting to current conditions.

Inventive Principle:

Principle #10Preliminary action

2Loss of energy

If conventional control does not comprehensively manage heat pump and photovoltaic system, then the control system is simple, but the energy offset effect is not considered

Engineering Contradiction:

Improveenergy offset effectVSAvoidsystem integration complexity

Core Design Contradiction:

Loss of energyVSDevice complexity

Solution Approach 1:

The patent merges the heat pump control system with the photovoltaic power generation system into an integrated control system. This combination allows the system to comprehensively manage both energy consumption and energy generation, consider the energy offset effect between the two systems, and achieve optimal energy saving effects that cannot be achieved by independent control of each system.

Inventive Principle:

Principle #5Merging (Combining)

3Productivity

If multiple dynamic behavior prediction models are used, then the energy optimization is improved, but the computational complexity increases

Engineering Contradiction:

Improveenergy optimization efficiencyVSAvoidprediction model complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the complex prediction task into multiple specialized dynamic behavior prediction models, each focusing on specific aspects of system behavior. This segmentation allows for more accurate predictions in different domains while maintaining manageable complexity within each individual model.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system uses prediction models to forecast future states of the heat pump and photovoltaic system before making control decisions. By predicting future energy generation and consumption patterns, the system can proactively adjust control variables to optimize energy saving effects rather than merely reacting to current conditions.

Inventive Principle:

Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system achieves comprehensive management of heat pumps and photovoltaic power generation, optimizing energy efficiency across the entire building by considering dynamic interactions between systems, thereby enhancing the utilization of renewable energy.

Implementation Method 1

solar power generation building... photovoltaic power generation system

Methodology Applied

Scientific EffectPhotovoltaic effect: Photovoltaic Effect

Data Source

PatentUS20250137672A1Integrated control system for heat pump to optimize energy of solar power building

Publication Date: 2025.05.01 SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION

AI summary

The present disclosure relates to an integrated control system for heat pump to optimize energy of solar power generation building, Including a computer comprising a processor and a memory within which a code for execution by the processor is stored, and the computer is configured to collect real-time data measured from at least any one of the heat pump of the solar power generation building, an external environment, a room and a photovoltaic power generation system, where interactions occur in a dynamic behavior of the heat pump; input the real-time data of before pre-set time into multiple dynamic behavior prediction models to derive an indoor air temperature prediction value, heat pump electricity consumption prediction value, and photovoltaic power generation prediction value, of after pre-set time; and search for an optimal control variable of the heat pump using the derived indoor air temperature prediction value, heat pump electricity consumption prediction value, and photovoltaic power generation prediction value.