工业建筑节能智能红外采暖系统的开发与评价

Q3 Energy
Denis CHİKURTEV, Veneta YOSİFOVA, Milena HARALAMPİEVA, Rosen PETROV
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引用次数: 0

摘要

能源效率是一个全球性问题,近年来已成为所有发达国家的头等大事。有限的能源资源和世界范围内的高污染导致了在能源效率方面的研究和开发的增加。本文重点介绍了一种利用红外热源进行节能加热的方法。强调了红外加热器与标准热源相比的优点。对供热系统中最常用的几种供热能耗进行了比较研究,并给出了理论计算的电力成本结果。为了更好地降低红外加热器的耗电量,开发了红外加热器的智能管理系统。该智能控制系统基于模糊逻辑控制和物联网。给出了智能系统的仿真实验结果以及系统在实际环境中的应用。在实验中,该系统成功地控制了加热器,降低了功耗。实验结果表明,利用现代传感器系统进行信号处理和控制可以提高传感器的性能,从而提高红外加热的效率。可以开发不同的优化系统和算法来提高不同供暖系统的能源效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and evaluation of an energy-efficient intelligent infrared heating system for industrial buildings
Energy efficiency is a global problem that has become a top priority for all developed countries in recent years. Limited energy resources and high pollution worldwide have led to an increase in research and development in terms of energy efficiency. In the present work, one of the energy-efficient methods for heating by using infrared sources is focused. The advantages of infrared heaters compared to standard heating sources are underlined. A comparative study of the energy consumed during heating by the most frequently used by the heating systems has been made, and the results of the theoretically calculated power costs are presented. An intelligent system has been developed for the management of the infrared heaters to reduce the consumption of electricity better. The intelligent control system is based on a fuzzy-logic control and an internet of things. Results of simulation experiments of the intelligent system are presented as well as of the application of the system in a real environment. During the experiments, the system successes to control the heaters and to reduce power consumption. The achieved results prove that signal processing and control can improve the performance by using modern sensor systems, thereby additional efficiency can be achieved by using the infrared heating. It is possible to develop different optimization systems and algorithms for increasing the energy efficiency of different heating systems.
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来源期刊
Journal of Energy Systems
Journal of Energy Systems Environmental Science-Management, Monitoring, Policy and Law
CiteScore
1.60
自引率
0.00%
发文量
29
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