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High-Power-Factor Electronic Ballast With Intelligent Energy-Saving Control for Ultraviolet Drinking-Water Treatment Systems

机译:大功率电子镇流器,具有智能节能控制功能,适用于紫外线饮用水处理系统

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摘要

Over the past few decades, ultraviolet (UV) water treatment has become widely recognized and accepted by regulatory agencies as a proven disinfection process. With the increased awareness of health concerns and water quality, UV disinfection is quickly gaining popularity in the consumer market as a safe, effective, and economical approach to disinfection. In order to disinfect properly, conventional UV water-treatment systems keep their light intensity at maximum level regardless of the operating condition; this will result in unnecessary energy waste along with lamp-life-span reduction. In this paper, a new design of highpower-factor low-cost electronic ballast with intelligent control for UV water-treatment system is proposed. For the purposes of energy saving, an intelligent-control algorithm is proposed to dim the luminance of the UV lamp according to the measured water flow rate and UV light intensity. Accurate knowledge of the characteristics of the UV lamps is essential for the ballast design. Therefore, an automatic identification system is also proposed in this paper to obtain the characteristic parameters, which are the dynamic and steady-state profiles of the UV lamps. Systematic design procedures are then presented accordingly. The proposed UV water-treatment system boasts the advantages, such as compactness, low cost, and energy saving, and is suitable for residential users. According to the experimental results, the energy-saving capability of the proposed system is better than 50%.
机译:在过去的几十年中,紫外线(UV)水处理已被监管机构广泛认可并接受为经过验证的消毒过程。随着人们越来越关注健康和水质,紫外线消毒作为一种安全,有效和经济的消毒方法在消费市场上迅速普及。为了进行适当的消毒,常规的紫外线水处理系统无论工作条件如何,都将其光强度保持在最大水平。这将导致不必要的能源浪费,并缩短灯泡的使用寿命。提出了一种新型智能控制的高功率因数低成本电子镇流器,用于紫外水处理系统。为了节约能源,提出了一种智能控制算法,根据测得的水流量和紫外线强度来调低紫外线灯的亮度。准确了解紫外线灯的特性对于镇流器设计至关重要。因此,本文还提出了一种自动识别系统,以获取特征参数,即紫外线灯的动态和稳态曲线。然后相应地介绍系统的设计程序。所提出的紫外线水处理系统具有结构紧凑,成本低廉,节能等优点,适用于居民用户。根据实验结果,该系统的节能能力优于50%。

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