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Economic optimization of distributed embedded battery units for large‐scale heating, ventilation, and air conditioning applications
Author(s) -
Patel Nishith R.,
Rawlings James B.,
Ellis Matthew J.,
Wenzel Michael J.,
Turney Robert D.
Publication year - 2019
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.16576
Subject(s) - air conditioning , battery (electricity) , work (physics) , cooling load , automotive engineering , scale (ratio) , load shifting , computer science , ventilation (architecture) , energy (signal processing) , environmental science , engineering , electrical engineering , mechanical engineering , mathematics , power (physics) , quantum mechanics , electricity , statistics , physics
Abstract Energy costs of space heating and cooling systems can be significantly decreased using energy storage to shift the load from periods of high prices to periods of low prices. In this work, an economically optimal method of controlling large systems with distributed embedded batteries units is proposed. The control system with load shifting outperforms the conventional trade‐off curve between cost and occupant comfort. Remarks are also made about the economic viability of these systems moving forward.