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Soft Computing

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27.05.2016 | Methodologies and Application

Optimization of electricity consumption in office buildings based on adaptive dynamic programming

verfasst von: Guang Shi, Qinglai Wei, Derong Liu

Erschienen in: Soft Computing | Ausgabe 21/2017

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Abstract

In this paper, an optimization method based on adaptive dynamic programming is developed to improve the electricity consumption of rooms in office buildings through optimal battery management. Rooms in office buildings are generally divided into office rooms, computer rooms, storage rooms, meeting rooms, etc., and each category of rooms have different characteristics of electricity consumption, which is divided into electricity consumption from sockets, lights and air-conditioners in this paper. The developed method based on action-dependent heuristic dynamic programming is explained in detail, and different optimization strategies of electricity consumption in different categories of rooms are proposed in accordance with the developed method. Finally, a detailed case study on an office building is given to demonstrate the practical effect of the developed method.

Vorheriger Artikel On asynchronous parallelization of order-based GA over grid-enabled heterogenous commodity hardware

Nächster Artikel Decomposition-based multi-objective evolutionary algorithm with mating neighborhood sizes and reproduction operators adaptation

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Titel: Optimization of electricity consumption in office buildings based on adaptive dynamic programming
verfasst von: Guang Shi
Qinglai Wei
Derong Liu
Publikationsdatum: 27.05.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 21/2017
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-016-2194-y

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