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Authors: L. A. Hurtado ; E. Mocanu ; P. H. Nguyen ; M. Gibescu and W. L. Kling

Affiliation: Eindhoven University of Technology, Netherlands

Keyword(s): Demand Flexibility, Resource Allocation, Demand Side Management, Building Energy Management System, Energy Management.

Related Ontology Subjects/Areas/Topics: Case Studies and Innovative Applications for Smart(Er) Cities ; Energy and Economy ; Energy Management Systems (EMS) ; Energy-Aware Systems and Technologies ; Optimization Techniques for Efficient Energy Consumption ; Smart Cities

Abstract: In the smart grid and smart city context, the energy end-user plays an active role in the operation of the power system. The rapid penetration of Renewable Energy Sources (RES) and Distributed Energy Resources (DER) requires a higher degree of flexibility on the demand side. As commercial and Industrial buildings (C&I) buildings represent a substantial aggregation of loads, the intertwined operation of the electric distribution network and the built environment is to large extent responsible for achieving energy efficiency and sustainability targets. However, the primary purpose of buildings is not grid support but rather ensuring the comfort and safety of its occupants. Therefore, the comfort level needs to be included as a constraint when assessing the flexibility potential of the built environment. This paper proposes a decentralized method for flexibility allocation among a set of buildings. The method uses concepts from non-cooperative game theory. Finally, two case of study are used to evaluate the performance of the decentralized algorithm, and compare it against a centralized option. It is shown that flexibility requests from the grid operator can be met without deteriorating the comfort levels. (More)

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Paper citation in several formats:
Hurtado, L.; Mocanu, E.; Nguyen, P.; Gibescu, M. and Kling, W. (2015). Comfort-constrained Demand Flexibility Management for Building Aggregations using a Decentralized Approach. In Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-105-2; ISSN 2184-4968, SciTePress, pages 157-166. DOI: 10.5220/0005444101570166

@conference{smartgreens15,
author={L. A. Hurtado. and E. Mocanu. and P. H. Nguyen. and M. Gibescu. and W. L. Kling.},
title={Comfort-constrained Demand Flexibility Management for Building Aggregations using a Decentralized Approach},
booktitle={Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2015},
pages={157-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005444101570166},
isbn={978-989-758-105-2},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - Comfort-constrained Demand Flexibility Management for Building Aggregations using a Decentralized Approach
SN - 978-989-758-105-2
IS - 2184-4968
AU - Hurtado, L.
AU - Mocanu, E.
AU - Nguyen, P.
AU - Gibescu, M.
AU - Kling, W.
PY - 2015
SP - 157
EP - 166
DO - 10.5220/0005444101570166
PB - SciTePress