@inproceedings{8b92283390764a2c9b5448d0e9619dab,
title = "Optimized cold storage energy management: Miami and Los Angeles case study",
abstract = "Smart management of cold thermal energy storages could help future sustainable energy systems drawing large shares of electricity from renewable sources to balance fluctuating generation. This paper introduces a model-based predictive control strategy for cold thermal energy storages. A novel ice storage model for simulating and optimizing partial charge and discharge storage operation is developed and validated. The optimization problem is solved using a Forward Dynamic Programming approach. A case study analysis for a very hot and humid location (Miami) and a rather temperate climate (Los Angeles) and for each four building types (apartment building, hospital, office, and school) reveals that total cost savings of up to 20% compared to conventional control strategies are possible.",
keywords = "Chilled water storage, Cold thermal energy storage, Dynamic programming, Energy management, Ice storage, Multi modal energy systems, Optimal control, Smart grid",
author = "Sebastian Thiem and Alexander Born and Vladimir Danov and Jochen Sch{\"a}fer and Thomas Hamacher",
note = "Publisher Copyright: {\textcopyright} Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 5th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2016 ; Conference date: 23-04-2016 Through 25-04-2016",
year = "2016",
doi = "10.5220/0005759602710278",
language = "English",
series = "SMARTGREENS 2016 - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems",
publisher = "SciTePress",
pages = "271--278",
editor = "Cornel Klein and Brian Donnellan and Markus Helfert",
booktitle = "SMARTGREENS 2016 - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems",
}
