OR-16-C077-2016

Smart Windows Control Strategies for Building Energy Savings in Summer Conditions: A Comparison between Optimal and Model Predictive Controllers

OR-16-C077-2016 发布历史

Advanced control strategies for smart windows (SW) are discussed in this paper. Since smart windows are used both to reduce energy consumption and to improve thermal and visual comfort@ the optimal solar flux passing throught the window is the result of a complex trade-off between daylighting and heat flow balance. A typical office building zone is modeled in TRNSYS with an integrated electrochromic smart window. Two types of advanced SW controllers@ i.e. (i) a genetic algorithm based controller and (ii) a model predictive control based controller@ are studied and compared to a base case scenario. The advanced controllers evaluate the hour-by-hour state of the smart window required to minimize the overall energy consumption (heating@ cooling@ lighting) while respecting constraints related to thermal and visual comfort. Results have shown that the two controllers@ while presenting different control strategies@ offer very similar and promising results in terms of energy savings and peak load reductions. Finally@ opportunities resulting from the present work are discussed.

OR-16-C077-2016由ASHRAE - American Society of Heating@ Refrigerating and Air-Conditioning Engineers@ Inc. 发布于 2016-01-01，并于 2016-04-05 实施。

OR-16-C077-2016的历代版本如下：

• 2016年01月01日 OR-16-C077-2016

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标准号

OR-16-C077-2016

发布日期

2016年01月01日

实施日期

2016年04月05日

废止日期

无

中国标准分类号

/

国际标准分类号

/

发布单位

ASHRAE - American Society of Heating@ Refrigerating and Air-Conditioning Engineers@ Inc.

引用标准

8

适用范围

Advanced control strategies for smart windows (SW) are discussed in this paper. Since smart windows are used both to reduce energy consumption and to improve thermal and visual comfort@ the optimal solar flux passing throught the window is the result of a complex trade-off between daylighting and heat flow balance. A typical office building zone is modeled in TRNSYS with an integrated electrochromic smart window. Two types of advanced SW controllers@ i.e. (i) a genetic algorithm based controller and (ii) a model predictive control based controller@ are studied and compared to a base case scenario. The advanced controllers evaluate the hour-by-hour state of the smart window required to minimize the overall energy consumption (heating@ cooling@ lighting) while respecting constraints related to thermal and visual comfort. Results have shown that the two controllers@ while presenting different control strategies@ offer very similar and promising results in terms of energy savings and peak load reductions. Finally@ opportunities resulting from the present work are discussed.