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Optimal operation of solar heat storage with off‐peak energy price incentive
Author(s) -
Rink R. E.
Publication year - 1994
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.4660150404
Subject(s) - thermal energy storage , decoupling (probability) , dynamic programming , control theory (sociology) , tracing , computer science , energy storage , solar energy , mathematical optimization , environmental science , engineering , mathematics , control (management) , control engineering , thermodynamics , electrical engineering , physics , power (physics) , operating system , artificial intelligence
The problem of minimum cost control of a solar‐assisted heat pump/heat storage system is considered. The system is configured to have separate storage for collected solar heat and high‐temperature heat, so that night‐time (‘off‐peak’) operation of the heat pump is possible. The problem of finding the optimal operating strategy when electrical energy is priced at a discount during off‐peak hours is considered. The solution of the periodic optimization problem is obtained through the use of state increment dynamic programming, simplified through the use of state feedback linearization/decoupling and augmented with a label‐tracing procedure to identify the periodic but unknown initial/terminal state. The algorithm is applied for a typical case study. The results lead to several observations concerning economical operating strategies.