TY - JOUR
T1 - Testing of a price-based system for power balancing on real-life HVAC installation in real life
AU - Radziszewska, Weronika
AU - Bugaj, Marcin A.
AU - Łuniewski, Mirosław
AU - Hoogsteen, Gerwin
AU - Chaja, Patryk
AU - Bykuć, Sebastian
N1 - Funding Information:
This work and authors were supported by project SuPREME Twinning for a Sustainable Proactive Research Partnership in Distributed Energy Systems Planning, Modelling, and Management (H2020-TWINN-2015) and BIOSTRATEG – TechRol New Renewable Energy Technologies for Sustainable Development of Rural Areas and Low-Carbon Agriculture Project (BIOSTRATEG3/344128/12/NCBR/2017).
Publisher Copyright:
© 2022 The Author(s).
PY - 2022/4/1
Y1 - 2022/4/1
N2 - HVAC systems use a substantial part of the whole energy usage of buildings. The optimizing of their operation can greatly affect the power use of a building, making them an interesting subject when trying to save energy. However, this should not affect the comfort of the people inside. Many approaches aim to optimize the operation of the heating and cooling system; in this paper, we present an approach to steer the heat pumps to reduce energy usage while aiming to maintain a certain level of comfort. For this purpose, we employ a market-based distributed method for power-balancing. To maintain the comfort level, the market-based distributed system assigns each device a cost-curve, parametrized with the current temperature of the room. This allows the cost to reflect the urgency of the HVAC operation. This approach was tested in a real-world environment: we use 10 heat pumps responsible for temperature control in 10 comparable-sized rooms. The test was performed for 3 months in summer. We limited the total peak power, and the algorithm balanced the consumption of the heat pumps with the available supply. The experiments showed that the system successfully managed to operate within the limit (lowering peak usage), and - to a certain point - reduce the cost without significantly deteriorating the working conditions of the occupants of the rooms. This test allowed us to estimate the minimal peak power requirement for the tested set-up that will still keep the room temperatures in or close to comfortable levels. The experiments show that a fully distributed market-based approach with parametrized cost functions can be used to limit peak usage while maintaining temperatures.
AB - HVAC systems use a substantial part of the whole energy usage of buildings. The optimizing of their operation can greatly affect the power use of a building, making them an interesting subject when trying to save energy. However, this should not affect the comfort of the people inside. Many approaches aim to optimize the operation of the heating and cooling system; in this paper, we present an approach to steer the heat pumps to reduce energy usage while aiming to maintain a certain level of comfort. For this purpose, we employ a market-based distributed method for power-balancing. To maintain the comfort level, the market-based distributed system assigns each device a cost-curve, parametrized with the current temperature of the room. This allows the cost to reflect the urgency of the HVAC operation. This approach was tested in a real-world environment: we use 10 heat pumps responsible for temperature control in 10 comparable-sized rooms. The test was performed for 3 months in summer. We limited the total peak power, and the algorithm balanced the consumption of the heat pumps with the available supply. The experiments showed that the system successfully managed to operate within the limit (lowering peak usage), and - to a certain point - reduce the cost without significantly deteriorating the working conditions of the occupants of the rooms. This test allowed us to estimate the minimal peak power requirement for the tested set-up that will still keep the room temperatures in or close to comfortable levels. The experiments show that a fully distributed market-based approach with parametrized cost functions can be used to limit peak usage while maintaining temperatures.
KW - distributed management
KW - heat pump
KW - HVAC
KW - power management
KW - waterloop
UR - http://www.scopus.com/inward/record.url?scp=85129486851&partnerID=8YFLogxK
U2 - 10.24425/bpasts.2022.140690
DO - 10.24425/bpasts.2022.140690
M3 - Article
AN - SCOPUS:85129486851
SN - 0239-7528
VL - 70
JO - Bulletin of the Polish Academy of Sciences: Technical Sciences
JF - Bulletin of the Polish Academy of Sciences: Technical Sciences
IS - 2
M1 - e140690
ER -