TY - GEN
T1 - Electricity cost minimization in cooling systems with storage
AU - Shimony, Solomon Eyal
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/4
Y1 - 2017/1/4
N2 - Load optimization with load shifting can be readily implemented with energy storage. In hot climates, cooling systems are a major factor in the electrical bill. Some systems have large reservoirs for cold water which can be used for pre-cooling and load shifting. A similiar setup is possible when optimizing cost of electrical heating with heat storage. This abstract examines and formally defines the problem as an MDP, and proposes a solution algorithm, for the problem of electricity cost minimization in the presence of storage, in the form of a large water tank.
AB - Load optimization with load shifting can be readily implemented with energy storage. In hot climates, cooling systems are a major factor in the electrical bill. Some systems have large reservoirs for cold water which can be used for pre-cooling and load shifting. A similiar setup is possible when optimizing cost of electrical heating with heat storage. This abstract examines and formally defines the problem as an MDP, and proposes a solution algorithm, for the problem of electricity cost minimization in the presence of storage, in the form of a large water tank.
UR - http://www.scopus.com/inward/record.url?scp=85014193150&partnerID=8YFLogxK
U2 - 10.1109/ICSEE.2016.7806039
DO - 10.1109/ICSEE.2016.7806039
M3 - Conference contribution
AN - SCOPUS:85014193150
T3 - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
BT - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
PB - Institute of Electrical and Electronics Engineers
T2 - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Y2 - 16 November 2016 through 18 November 2016
ER -