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Authors: Rosa Morales González 1 ; Madeleine Gibescu 1 ; Sjef Cobben 2 ; Martijn Bongaerts 3 ; Marcel de Nes-Koedam 3 and Wouter Vermeiden 3

Affiliations: 1 Eindhoven University of Technology, Netherlands ; 2 Eindhoven University of Technology and Alliander N.V., Netherlands ; 3 Alliander N.V., Netherlands

Keyword(s): Demand Response, Genetic Algorithm, Local RES Integration, Physical System Modeling, Smart Grid.

Related Ontology Subjects/Areas/Topics: Case Studies ; Energy and Economy ; Energy Management Systems (EMS) ; Energy-Aware Systems and Technologies ; Health Engineering and Technology Applications ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Optimization Techniques for Efficient Energy Consumption ; Renewable Energy Resources ; Simulation and Modeling ; Simulation Tools and Platforms

Abstract: This paper presents a demand response (DR) framework that utilizes the flexibility inherent to the thermodynamic behavior of four groups of independently-controlled medical freezers in a privately-owned business park microgrid that contains rooftop photovoltaics (PV). The optimization objectives may be chosen from the following 3 options: minimizing electricity exchanges with the public grid; minimizing costs by considering prices and RES availability; and minimizing peak load. The proposed DR framework combines thermodynamic models with automated, genetic-algorithm-based optimization, resulting in demonstrable benefits in terms of cost, energy efficiency, and peak power reduction for the consumer, local energy producer, and grid operator. The resulting optimal DR schedules of the freezers are compared against unoptimized, business-as-usual scenarios with- and without PV. Results show that flexibility can be harnessed from the thermal mass of the freezers and their contents, improvin g the cost- and energy performance of the system with respect to the business-as-usual scenarios. (More)

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Paper citation in several formats:
Morales González, R.; Gibescu, M.; Cobben, S.; Bongaerts, M.; de Nes-Koedam, M. and Vermeiden, W. (2018). Demand Response of Medical Freezers in a Business Park Microgrid. In Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-292-9; ISSN 2184-4968, SciTePress, pages 120-129. DOI: 10.5220/0006801001200129

@conference{smartgreens18,
author={Rosa {Morales González}. and Madeleine Gibescu. and Sjef Cobben. and Martijn Bongaerts. and Marcel {de Nes{-}Koedam}. and Wouter Vermeiden.},
title={Demand Response of Medical Freezers in a Business Park Microgrid},
booktitle={Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2018},
pages={120-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006801001200129},
isbn={978-989-758-292-9},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - Demand Response of Medical Freezers in a Business Park Microgrid
SN - 978-989-758-292-9
IS - 2184-4968
AU - Morales González, R.
AU - Gibescu, M.
AU - Cobben, S.
AU - Bongaerts, M.
AU - de Nes-Koedam, M.
AU - Vermeiden, W.
PY - 2018
SP - 120
EP - 129
DO - 10.5220/0006801001200129
PB - SciTePress