OPTIMIZATION OF BUILDING CONTROL STRATEGIES USING DYNAMIC PROGRAMMING FOR BUILDING SIMULATION 2013 CONFERENCE

被引：0

作者：

Favre, Berenger ^{[1
]}

Peuportier, Bruno ^{[1
]}

机构：

[1] MINES ParisTech, CES Ctr Energy Efficiency Syst, Paris, France

来源：

BUILDING SIMULATION 2013: 13TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL BUILDING PERFORMANCE SIMULATION ASSOCIATION | 2013年

关键词：

COMFORT; ENERGY; ALGORITHM;

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Being increasingly insulated, new buildings are more and more sensitive to variations of solar and internal gains. Controlling mechanical or natural ventilation often constitutes an efficient solution to maintain indoor comfort during hot periods. The proposed energy management is a predictive set of optimal commands issued from a dynamic programming optimization knowing in advance the weather, occupancy and internal gains for the next 14 days. This method is tested on a bioclimatic house situated in Chambery, France with an annual heating demand of 26 kWh/m(2). The results issued from the mechanical and natural ventilation controllers are compared.

引用

页码：2593 / 2600

页数：8

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