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Air separation with cryogenic energy storage: Optimal scheduling considering electric energy and reserve markets
Author(s) -
Zhang Qi,
Grossmann Ignacio E.,
Heuberger Clara F.,
Sundaramoorthy Arul,
Pinto Jose M.
Publication year - 2015
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.14730
Subject(s) - air separation , energy storage , linear programming , scheduling (production processes) , integer programming , process engineering , flexibility (engineering) , separation (statistics) , engineering , computer science , economics , operations management , chemistry , power (physics) , physics , management , organic chemistry , algorithm , machine learning , oxygen , quantum mechanics
The concept of cryogenic energy storage (CES) is to store energy in the form of liquid gas and vaporize it when needed to drive a turbine. Although CES on an industrial scale is a relatively new approach, the technology is well known and essentially part of any air separation unit that utilizes cryogenic separation. In this work, the operational benefits of adding CES to an existing air separation plant are assessed. Three new potential opportunities are investigated: (1) increasing the plant's flexibility for load shifting, (2) storing purchased energy and selling it back to the market during higher‐price periods, and (3) creating additional revenue by providing operating reserve capacity. A mixed‐integer linear programming scheduling model is developed and a robust optimization approach is applied to model the uncertainty in reserve demand. The proposed model is applied to an industrial case study, which shows significant potential economic benefits. © 2015 American Institute of Chemical Engineers AIChE J, 61: 1547–1558, 2015