本地运营网络技术旨在提高建筑能源管理系统的性能,满足用户的偏好

D. Kolokotsa, K. Kalaitzakis, G. Stavrakakis, G. Sutherland, G. Eytaxias
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引用次数: 3

摘要

现有的建筑能源管理系统(BEMS)虽然有助于显著减少能源消耗和改善室内环境,但它们只能在新建筑中实施。由于不同制造商设计的BEMS之间的通信协议不兼容以及不可避免的数据传输修改,因此在现有建筑物中安装BEMS的成本效益远远不够。另一方面,目前对节能建筑的研究已经证明,尽管设计和包括BEMS在内的设施旨在满足热舒适和视觉舒适以及空气质量要求,同时最大限度地减少能源需求,但由于用户的干扰,它们往往无法达到目标。智能建筑能源管理系统(IBEMS)设计的最新趋势是提供一个人机界面,该界面可以存储用户的偏好并相应地调整控制策略。本文的目的是展示使用基于智能卡终端的人机界面以及模糊控制技术在满足用户偏好方面的优势,并强调LON网络为设计提供的功能。为了实现上述第一个目标,设计了模糊PID控制器。通过对整个系统使用合适的成本函数来实现对能耗的监测以及满足用户的偏好。上述参数及成本函数均保持在可接受的范围内。利用MATLAB/SIMULINK对包括成本函数在内的整个控制系统进行了建模和测试。在现有建筑物中实施控制系统需要在整个建筑物中安装传感器和执行器的互连,由于其高标准和灵活性的特点,LonWorks技术可以很好地服务于此。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LOCAL OPERATING NETWORKS TECHNOLOGY AIMING TO IMPROVE BUILDING ENERGY MANAGEMENT SYSTEM PERFORMANCE SATISFYING THE USERS PREFERENCES
The available Building Energy Management Systems (BEMS), although they contribute to a significant reduction of energy consumption and improvement of the indoor environment, they can only be implemented in new buildings. Their installation in existing buildings is far from being cost effective due to the incompatibility of communication protocols between BEMS designed by various manufacturers and unavoidable modifications for data transmission. On the other hand, current research for energy efficient buildings has proved that although the design and the facilities including BEMS aim to satisfy the thermal and visual comfort plus the air quality demands while minimising the energy needs, they often do not reach their goals due to users interference. Latest trends in designing Intelligent Building Energy Management Systems (IBEMS) offer a Man Machine Interface that could store the users preferences and adapt the control strategy accordingly. The objectives of the present paper are to present the advantages of the use of a man machine interface based on a smart card terminal together with fuzzy control techniques in satisfying the users preferences plus to underline the capabilities that the LON network offers to the design. A fuzzy PID controller is developed to reach the first of the above objectives. The monitoring of the energy consumption along with satisfying the users preferences is achieved by the use of a suitable cost function for the whole system. All the above parameters as well as the cost function are kept between acceptable limits. The overall control system including the cost function is modeled and tested using MATLAB/SIMULINK. The implementation of the control system in an existing building requires interconnection of sensors and actuators installed across the building, is well served by the LonWorks technology due to its high standards and flexibility features.
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