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Optimized cold storage energy management: Miami and Los Angeles case study | IEEE Conference Publication | IEEE Xplore

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 fluctu...Show More

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.
Date of Conference: 23-25 April 2016
Date Added to IEEE Xplore: 19 June 2017
ISBN Information:
Conference Location: Rome, Italy

References

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