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Energy and Buildings
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Energy and Buildings
Article . 2010 . Peer-reviewed
License: Elsevier TDM
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Application of an energy management and control system to assess the potential of different control strategies in HVAC systems

Authors: Isidoro Segura-Heras; Manuel Alcázar-Ortega; Guillermo Escrivá-Escrivá;

Application of an energy management and control system to assess the potential of different control strategies in HVAC systems

Abstract

[EN] The significant and continuous increment in the global electricity consumption is asking for energy saving strategies. Efficient control for heating, ventilation and air-conditioning systems (HVAC) is the most cost-effective way to minimize the use of energy in buildings. In this framework, an energy management and control system (EMCS) has been developed to schedule electricity end-uses in the campus of the Universidad Politecnica de Valencia (UPV), Spain. This paper presents an evaluation performed by using the EMCS of different control strategies for HVAC split systems. It analyzed the effect of different schedules for a common air-conditioning device and demand response strategies are tested in several situations. The economic saving is calculated taking into account the electricity contract clauses. Finally, a test is made for the control of a group of similar devices in order to reduce the maximum peak power in consumption and to obtain a flexible load shape with the HVAC loads. The studies are then extrapolated to a larger system, the whole University campus, for which energy and economic savings are quantified. (C) 2010 Published by Elsevier B.V. This research work has been possible with the support of Universidad Politecnica de Valencia (Spain) by the grant #CE 19990032.

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Keywords

HVAC split system, Demand response, Energy management and control system, Energy saving strategies, INGENIERIA ELECTRICA

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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