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IoT Solution Approach for Energy Consumption Reduction in Buildings : Part 3. Mathematical Model of Building and Experimental Results

机译:降低建筑物能耗的物联网解决方案方法:第3部分。建筑物的数学模型和实验结果

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摘要

IoT solutions enable to gather more detailed consumption and sensor data, and paper deals with real measurements, where as a measurement object a university faculty building is selected, that has Building Management system, lighting, HVAC systems, and in consumption it is comparable also to industrial building. For data analysis, real measurement parameters like electrical power consumption, room temperatures, humidity, CO2 levels, heat energy, ventilation system pressures and also data from meteorological weather station are obtained simultaneously for several months, using LoRaWAN network and sensors, thus giving ability to have wide data analysis options, to crosscheck complex systems. Also buildings simplified mathematical model is created using 6R1C approach. Paper also describes experiments carried out to compare real measurement data with theoretically calculated values using the 6R1C model.
机译:物联网解决方案可以收集更详细的消耗量和传感器数据,并且可以处理真实的测量结果,其中选择的大学教学楼作为测量对象,它具有楼房管理系统,照明,HVAC系统,并且在消耗方面也可与工业建筑。对于数据分析,实际的测量参数,如电耗,室温,湿度,CO \ n 2\n的水平,热能,通风系统压力以及气象气象站的数据都可以通过LoRaWAN网络和传感器,从而具有广泛的数据分析选项,可以交叉检查复杂的系统。此外,还使用6R1C方法创建了建筑物简化的数学模型。论文还描述了使用6R1C模型将实际测量数据与理论计算值进行比较的实验。

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