Next Article in Journal
The Oil Market Reactions to OPEC’s Announcements
Next Article in Special Issue
Flexibility-Based Energy and Demand Management in Data Centers: A Case Study for Cloud Computing
Previous Article in Journal
Hot Metal Temperature Prediction at Basic-Lined Oxygen Furnace (BOF) Converter Using IR Thermometry and Forecasting Techniques
Previous Article in Special Issue
Quantifying the Opportunity Limits of Automatic Residential Electric Load Shaping
Open AccessArticle

Seasonal COP of an Air-to-Water Heat Pump when Using Predictive Control Preferring Power Production from Renewable Sources in the Czech Republic

Energy Institute, NETME Centre, Brno University of Technology, Technicka 2896/2, 61669 Brno, Czech Republic
*
Author to whom correspondence should be addressed.
Energies 2019, 12(17), 3236; https://doi.org/10.3390/en12173236
Received: 15 June 2019 / Revised: 2 August 2019 / Accepted: 21 August 2019 / Published: 22 August 2019
(This article belongs to the Special Issue Electricity Demand Side Management)
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. View Full-Text
Keywords: heat pump; predictive control; renewable energy; seasonal coefficient of performance heat pump; predictive control; renewable energy; seasonal coefficient of performance
Show Figures

Figure 1

MDPI and ACS Style

Pospíšil, J.; Špiláček, M.; Charvát, P. Seasonal COP of an Air-to-Water Heat Pump when Using Predictive Control Preferring Power Production from Renewable Sources in the Czech Republic. Energies 2019, 12, 3236.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop