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

Abstract

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.

What is claimed is: 
     
         1 . An Integrated control system for heat pump of solar power generation building, comprising:
 a computer comprising a processor and a memory within which a code for execution by the processor is stored, the computer 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.   
     
     
         2 . The integrated control system for heat pump of solar power generation building, according to  claim 1 ,
 wherein the real-time data comprises at least one of a set temperature of the heat pump and/or airflow rate of the heat pump, which are control variables; and an outdoor air temperature, solar radiation, solar panel incident angle, solar panel surface temperature, photovoltaic electricity generation, indoor air temperature, heat pump on/off, heat pump supply air temperature, heat pump return air temperature, and heat pump electricity consumption, which are state variables.   
     
     
         3 . The integrated control system for heat pump of solar power generation building, according to  claim 2 ,
 wherein the multiple dynamic behavior prediction models consist of an indoor air temperature prediction model, a heat pump electricity consumption prediction model, and a photovoltaic electricity generation prediction model, stored in the memory; and   the heat pump electricity consumption prediction model derives the heat pump electricity consumption prediction value using the indoor air temperature prediction value predicted by the indoor air temperature prediction model.   
     
     
         4 . The integrated control system for heat pump of solar power generation building, according to  claim 3 ,
 wherein the indoor air temperature prediction model is a model that derives the indoor air temperature prediction value of after pre-set time according to a control variable setting using the outdoor air temperature, solar radiation, indoor air temperature, and heat pump supply air temperature, of the before pre-set time,   the heat pump electricity consumption prediction model is a model that derives the heat pump electricity consumption prediction value of after pre-set time according to the control variable setting using the outdoor air temperature, solar radiation, indoor air temperature, heat pump on/off, heat pump supply air and return air temperatures, and heat pump electricity consumption, of before pre-set time, and the indoor air temperature prediction value predicted by the indoor air temperature prediction model; and   the photovoltaic electricity generation prediction model is a model that derives a photovoltaic electricity generation prediction value of after pre-set time using the outdoor air temperature, solar radiation, solar panel incident angle, solar panel surface temperature, and photovoltaic electricity generation, of before pre-set time.   
     
     
         5 . The Integrated control system for heat pump of solar power generation building, according to  claim 1 ,
 wherein the computer is configured to derive a net energy consumption calculated from a difference between the heat pump electricity consumption prediction value and a photovoltaic electricity generation prediction value, and to search for the optimal control variable using the derived net energy consumption.   
     
     
         6 . The integrated control system for heat pump of solar power generation building, according to  claim 5 ,
 wherein the computer is configured to search for the optimal control variable that minimizes a total sum of the net energy consumption of after pre-set time while maintaining an average value of the indoor air temperature prediction values of after pre-set time within the predetermined range, and to give greater weight to the indoor air temperature prediction value and/or the net energy consumption, closer to the current time.   
     
     
         7 . The integrated control system for heat pump of solar power generation building, according to  claim 1 ,
 wherein the computer is configured to use data collected from an external weather system and/or data derived using a formula stored in the memory, instead of at least some of the real-time data measured from at least any one of the external environment, room, and photovoltaic power generation system.   
     
     
         8 . The integrated control system for heat pump of solar power generation building, according to  claim 7 ,
 wherein the weather data comprises at least one of an outdoor air temperature prediction value, rainfall prediction value, rainfall condition prediction value, and cloud condition prediction value, and   the computer is configured to use the heat pump return air temperature as the indoor air temperature, and to derive a solar radiation prediction value using the stored formula.   
     
     
         9 . The integrated control system for heat pump of solar power generation building, according to  claim 8 ,
 wherein the multiple dynamic behavior prediction models consist of a heat pump return air temperature prediction model, heat pump supply air temperature prediction model, heat pump electricity consumption prediction model, and photovoltaic electricity generation prediction model, stored in the memory, and   the heat pump supply air temperature prediction model derives a heat pump supply air temperature prediction value using a heat pump return air temperature prediction value predicted by the heat pump return air temperature prediction model, and the heat pump electricity consumption prediction model derives the heat pump electricity consumption prediction value using the heat pump supply air temperature prediction value predicted by the heat pump supply air temperature prediction model.   
     
     
         10 . The integrated control system for heat pump of solar power generation building, according to  claim 9 ,
 wherein the heat pump return air temperature prediction model is a model that derives the heat pump return air temperature prediction value of after pre-set time according to a control variable setting using the heat pump return air temperature, heat pump supply air temperature, and heat pump set temperature, of before pre-set time, and the outdoor air temperature prediction value of after pre-set time,   the heat pump supply air temperature prediction model is a model that derives the heat pump supply air temperature prediction value of after pre-set time according to a control variable setting using the heat pump return air temperature and heat pump supply air temperature, of before pre-set time, and the outdoor air temperature prediction value and heat pump return air temperature (RAT) prediction value, of after pre-set time,   the heat pump electricity consumption prediction model is a model that derives a heat pump electricity consumption prediction value of after pre-set time according to a control variable setting using a heat pump electricity consumption of before pre-set time, and the heat pump return air temperature prediction value and the heat pump supply air temperature prediction value, of after pre-set time, and   the photovoltaic electricity generation prediction model is a model that derives a photovoltaic electricity generation prediction value of after pre-set time using a photovoltaic electricity generation of before pre-set time, and a solar radiation prediction value, outdoor air temperature prediction value, rainfall prediction value, rainfall condition prediction value, and cloud condition prediction value, of after pre-set time.   
     
     
         11 . The integrated control system for heat pump of solar power generation building, according to  claim 10 ,
 wherein the computer is configured to derive a net energy consumption calculated from a difference between the heat pump electricity consumption prediction value and the photovoltaic electricity generation prediction value, and to search for the optimal control variable using the derived net energy consumption.   
     
     
         12 . The integrated control system for heat pump of solar power generation building, according to  claim 11 ,
 wherein the computer is configured to search for the optimal control variable that minimizes a total sum of the net energy consumption of after pre-set time while maintaining an average value of the heat pump return air temperature prediction values of after pre-set time within the predetermined range, and to give greater weight to the heat pump return air temperature prediction value and/or the net energy consumption, closer to the current time.