Abstract
The paper presents a parametric study evaluating the effects of various predictive controls on the operating parameters of heat pumps. The heat pump represents a significant power appliance in the residential sector. Its connection to the heat accumulator creates a system with considerable potential to control electricity consumption according to the needs of the electricity grid. The air-water heat pump is considered in this study. A predictive control is used for priority operation of the heat pump at periods of peak power production from renewable sources. The following were tested as the parameters of predictive control: outdoor air temperature, photovoltaic power production and wind power production. The combination of photovoltaic and wind power production was also tested. A parametric analysis considering different sizes for the thermal accumulator and the heating capacity of the heat pump were proposed. The benefits of predictive control are evaluated based on historical records of meteorological data from 2015 to 2018 in the city of Brno, Czech Republic. The data on the historical development of the real electrical energy production from renewable sources in the Czech Republic are used for regulation control in a monitored period. The main comparison parameter is the heat pump seasonal coefficient of performance (SCOP). From the carried out study results, an increase in SCOP by 14% was identified for priority operation of heat pump (HP) at periods with highest outdoor air temperature. Priority operation of HP at periods with peak photovoltaic (PV) production increased SCOP by 10.25%. A decrease in SCOP only occurred in case with priority operation of HP at peak production of wind power plants. Increasing the size of the accumulator contributes to an increase in SCOP in all assessed modifications of predictive control.
Highlights
The current worldwide trend is to increase the production of electrical energy from renewable energy sources (RES)
As the heat loss of the model building was 1 kW at −12 °C, the other accumulator (ACU 50) had the overall heat storage. Another part of the parametric study focused on testing the impact of the heat output of the prediction of the outdoor temperature, we obtain a modification of predictive control preferring the operation of an Air-water heat pump (AWHP) in the periods with the maximum outdoor air temperature
The results clearly show that what influences the seasonal coefficient of performance (SCOP) value the most is the parameter that controls the preference of AWHP operation
Summary
The current worldwide trend is to increase the production of electrical energy from renewable energy sources (RES). The second function of the ripple control is the outright blocking of the operation of certain electrical appliances during certain parts of the high demand time periods. This study focuses on comparing several scenarios of predictive AWHP control, preferring operation in periods of peak electrical energy production from wind and photovoltaic (PV) power plants. The developed calculation procedure is applicable in other similar climates Some general outcomes, such as preferable operation of air-to-water heat pumps during daytime, when the PV power plants produce electricity, and at the same time, the outdoor air temperature is higher, are valid in most climates and situations.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
