迈向更有效的楼宇能源管理系统

Seyed-Alireza Ahmadi, I. Shames, Francesco Scotton, Lirong Huang, H. Sandberg, K. Johansson, B. Wahlberg
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引用次数: 13

摘要

作为开发高效建筑能源管理技术的第一步,在本文中,我们首先研究了整个KTH皇家理工学院校园的供暖、通风和制冷(HVAC)系统的能源消耗模式,并确定了一些可以减少能源消耗浪费的可能领域。随后,我们描述了一个测试平台,其中无线传感器网络用于收集数据并最终以分布式方式控制HVAC系统。我们展示了由上述网络收集的一些数据、温度、湿度和二氧化碳测量值,并将它们与已有的传统传感器收集的测量值进行比较。最后,我们提出了利用传感器网络收集的数据对温度、湿度和二氧化碳的动态建模的初步结果。通过系统输出与实测数据的比较,验证了模型的有效性。作为未来的工作,我们确定了将这里获得的模型用于基于模型的控制以及故障检测和隔离技术的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards more Efficient Building Energy Management Systems
As a first step towards developing efficient building energy management techniques, in this paper, we first study the energy consumption patterns of heating, ventilation and cooling (HVAC) systems across the KTH Royal Institute of Technology campus and we identify some possible areas where energy consumption can be made less wasteful. Later, we describe a test-bed where wireless sensor networks are used to collect data and eventually control the HVAC system in a distributed way. We present some of the data, temperature, humidity, and CO2 measurements, that are collected by the aforementioned network and compare them with the measurements collected by the legacy sensors already in place. In the end we present a preliminary result on modelling the dynamics of the temperature, humidity, and CO2 using the data gather by the sensor network. We check the validity of the model via comparing the out put of the system with measured data. As a future work we identify the possibility of using the models obtained here for model based control, and fault detection and isolation techniques.
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