Managing energy Smart Homes according to energy prices: Analysis of a Building Energy Management System

被引：209

作者：

Missaoui, Rim ^{[1
,2
]}

Joumaa, Hussein ^{[1
]}

Ploix, Stephane ^{[1
]}

Bacha, Seddik ^{[2
]}

机构：

[1] G SCOP Lab, F-38031 Grenoble 01, France

[2] G2ELAB Lab, F-38402 St Martin Dheres, France

来源：

ENERGY AND BUILDINGS | 2014年 / 71卷

关键词：

Building; Modeling; Scheduling; Satisfaction; Energy price; Load management; Optimization; Building Energy Management System; Smart Home; Smart grid; PREDICTIVE CONTROL; LOAD MANAGEMENT; SIMULATION; MODEL; METHODOLOGY; VALIDATION;

D O I：

10.1016/j.enbuild.2013.12.018

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The Demand-Side-Load Management will change the way people behave. Different authors have proposed energy management algorithms for Smart Home that either integrates or not renewable energy. All these researches have the same general objective: minimizing the daily energy cost without affecting the comfort of occupants. This paper deals with the performance analysis of a Global Model Based Anticipative Building Energy Management System (GMBA-BEMS) managing household energy. This GMBA-BEMS is able to optimize a compromise between user comfort and energy cost taking into account occupant expectations and physical constraints like energy price and power limitations. To validate the GMBA-BEMS, the model of a building has been developed in MATLAB/Simulink. This work analyzes GMBA-BEMS application that manages appliances such as heating, washing machine and dishwasher from a grid point of view. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：155 / 167

页数：13

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