Abstract Optimal management of buildings' energy-consuming systems is of great importance for minimizing building energy consumption while satisfying the occupants. Since the operation of building systems are highly dependent on the presence of occupants, considering the dynamic occupancy information has become crucial to reflect the occupancy dynamism within offices and the random patterns in occupant behavior. Thus, occupancy-centered control strategies are required in order to enhance the energy management of buildings. On the other hand, the need for localized and customizable comfort controls is increasing in office buildings to improve the occupants’ satisfaction, and consequently their productivity. To this end, a framework aiming at developing optimal occupancy-centered local control strategies is proposed in this paper. A new simulation-based multi-objective optimization model of the energy consumption in offices is developed to exploit occupancy-related data and evaluate possible local control strategies to select the best ones. A set of real occupancy data collected over a period of one year is fed to the integrated simulation-based optimization model for investigating the energy-saving potentials. Comparing the results shows that a considerable improvement in the indoor comfort condition can be achieved through the application of the proposed framework. We conclude that optimal control strategies not only provide demand-driven control solutions but also optimize building energy performance. The integrated model enables dynamic building energy management according to dynamic occupancy patterns. It avoids over-conditioning that is the result of the application of common practices, which control building systems based on the peak occupancy.

中文翻译：

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使用基于占用动态数据的本地控制优化开放式办公室的能源消耗和居住者舒适度

摘要 建筑能耗系统的优化管理对于最大限度地降低建筑能耗，同时满足居住者的需求具有重要意义。由于建筑系统的运行高度依赖于居住者的存在，考虑到动态占用信息对于反映办公室内的占用动态和居住者行为的随机模式变得至关重要。因此，需要以占用为中心的控制策略，以加强建筑物的能源管理。另一方面，办公楼对本地化和可定制的舒适控制的需求正在增加，以提高居住者的满意度，从而提高他们的生产力。为此，本文提出了一个旨在开发以占用为中心的最优局部控制策略的框架。开发了一种新的基于仿真的办公室能源消耗多目标优化模型，以利用与占用相关的数据并评估可能的本地控制策略以选择最佳策略。将在一年内收集的一组实际占用数据输入到基于仿真的综合优化模型中，以研究节能潜力。比较结果表明，通过应用所提出的框架，可以显着改善室内舒适度。我们得出的结论是，最佳控制策略不仅提供需求驱动的控制解决方案，而且还优化了建筑能源性能。集成模型可根据动态占用模式实现动态建筑能源管理。