Optimized Cold Storage Energy Management - Miami and Los Angeles Case Study

Sebastian Thiem, Alexander Born, Vladimir Danov, Jochen Schäfer, Thomas Hamacher


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.


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Paper Citation

in Harvard Style

Thiem S., Born A., Danov V., Schäfer J. and Hamacher T. (2016). Optimized Cold Storage Energy Management - Miami and Los Angeles Case Study . In Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-184-7, pages 271-278. DOI: 10.5220/0005759602710278

in Bibtex Style

author={Sebastian Thiem and Alexander Born and Vladimir Danov and Jochen Schäfer and Thomas Hamacher},
title={Optimized Cold Storage Energy Management - Miami and Los Angeles Case Study},
booktitle={Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},

in EndNote Style

JO - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Optimized Cold Storage Energy Management - Miami and Los Angeles Case Study
SN - 978-989-758-184-7
AU - Thiem S.
AU - Born A.
AU - Danov V.
AU - Schäfer J.
AU - Hamacher T.
PY - 2016
SP - 271
EP - 278
DO - 10.5220/0005759602710278