Energy consumption reduction of indoor temperature measurements with asymmetric numeral system compression

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings Pub Date : 2025-07-18 DOI:10.1016/j.enbuild.2025.116160

Michał Markiewicz, Henryk Telega, Jarosław Duda, Aleksandra Dujović, Marek Skomorowski, Jozef Pieprzyk, Tadeusz Stasiak

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引用次数: 0

Abstract

About half of building energy consumption is attributed to heating, ventilation, and air conditioning (HVAC) systems. One method to improve building performance in terms of energy efficiency is the installation of additional sensors that provide more information to the HVAC control. Considering the trade-offs between sensor installation, maintenance cost and resulting benefits, one potential solution is to install wireless sensors. Battery powered wireless sensors are easy to install but increase the frequency of readouts, which negatively impacts battery life. The purpose of this article is to investigate when battery life can be extended by the asymmetric numeral system data compression algorithm. We used the following method: we measured the temperatures with battery-powered wireless sensors inside a multifamily residential building throughout the period of one year. Then we prepared two variants of sensor firmware that transmits compressed and uncompressed temperature readouts. We measured how much energy was consumed by a physical device during the sensor activity and we estimated the total energy consumption. We found out that it is possible to reduce the power consumption of a wireless temperature sensor by between 6% and 37%, depending on the transmission intervals. Additionally, we measured the resources consumed by the backend server required to handle the compressed and uncompressed temperature readouts, achieving a 66% reduction in storage space and up to 33% reduction in processing power.

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非对称数字系统压缩降低室内温度测量的能耗

大约一半的建筑能耗来自供暖、通风和空调（HVAC）系统。在能源效率方面提高建筑性能的一种方法是安装额外的传感器，为HVAC控制提供更多信息。考虑到传感器安装、维护成本和收益之间的权衡，一个潜在的解决方案是安装无线传感器。电池供电的无线传感器易于安装，但会增加读数频率，这会对电池寿命产生负面影响。本文的目的是研究非对称数字系统数据压缩算法在什么情况下可以延长电池寿命。我们使用了以下方法：在一年的时间里，我们用电池供电的无线传感器测量了一栋多户住宅建筑内的温度。然后，我们准备了两种传感器固件的变体，可以传输压缩和未压缩的温度读数。我们测量了传感器活动期间物理设备消耗了多少能量，并估计了总能量消耗。我们发现，根据传输间隔的不同，无线温度传感器的功耗有可能降低6%到37%。此外，我们测量了处理压缩和未压缩温度读数所需的后端服务器消耗的资源，存储空间减少了66%，处理能力减少了33%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Energy and Buildings 工程技术-工程：土木

CiteScore

12.70

自引率

11.90%

发文量

863

审稿时长

38 days

期刊介绍： An international journal devoted to investigations of energy use and efficiency in buildings Energy and Buildings is an international journal publishing articles with explicit links to energy use in buildings. The aim is to present new research results, and new proven practice aimed at reducing the energy needs of a building and improving indoor environment quality.