首页> 外文会议>American Council for an Energy-Efficient Economy;ACEEE Summer Study on Energy Efficiency in Buildings >Towards a Wiser Use of Intelligence: Fieldwork in the Application of Information Technology in a Commercial Building
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Towards a Wiser Use of Intelligence: Fieldwork in the Application of Information Technology in a Commercial Building

机译:寻求更明智的利用:商业建筑中信息技术应用的实地考察

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摘要

Information technology can increase energy efficiency by improving the control ofrnenergy-using devices and systems. Awareness of this potential is not new—ideas for applicationsrnof information technology for energy efficiency have been promoted for more than 20 years. Butrnmuch of the potential gain from the application of information technology has not yet beenrnrealized. In an earlier paper one of the authors discussed some reasons for the slow exploitationrnof information technology’s potential to increase energy efficiency. The earlier paper alsornsuggested that a combination of new requirements for the operation of the electricity system andrnthe development of new technology could cause a rapid increase in the pace of adoption. In thisrnpaper we describe an application of these ideas to the operation of a commercial building. First,rnwe review basic concepts with emphasis on an open software-architecture. Then we describe therncomponents of this open software-architecture and its ability, for example, to nimbly add sensorsrnand add control algorithms within a proprietary Building Automation System (BAS). Finally, werndescribe results from this application to Sutardja Dai Hall at the University of CaliforniarnBerkeley. Results include demonstration of reduced peak demand by 20 -30% and continuousrnenergy savings of 20%.
机译:信息技术可以通过改善对能耗设备和系统的控制来提高能源效率。意识到这种潜力并不是什么新鲜事物-信息技术在提高能源效率方面的应用已被推广了20多年。但是从信息技术的应用中获得的潜在收益尚未实现。在较早的一篇论文中,一位作者讨论了缓慢开发信息技术潜力来提高能源效率的一些原因。较早的论文还建议将电力系统运行的新要求与新技术的发展结合起来,可以使采用的速度迅速提高。在本文中,我们描述了这些想法在商业建筑运营中的应用。首先,我们回顾基本概念,重点是开放软件体系结构。然后,我们描述此开放软件体系结构的组成部分及其功能,例如,在专有的楼宇自动化系统(BAS)中灵活地添加传感器和添加控制算法。最后,将来自该应用程序的结果描述给加州大学伯克利分校的Sutardja Dai Hall。结果包括证明高峰需求减少了20 -30%,连续能源节省了20%。

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