loading
Documents

Research.Publish.Connect.

Paper

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

ISBN: 978-989-758-292-9

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

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, improving the cost- and energy performance of the system with respect to the business-as-usual scenarios. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.203.225.78

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 1: SMARTGREENS, ISBN 978-989-758-292-9, 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 - Volume 1: SMARTGREENS,},
year={2018},
pages={120-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006801001200129},
isbn={978-989-758-292-9},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Demand Response of Medical Freezers in a Business Park Microgrid
SN - 978-989-758-292-9
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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.