Reducing Energy Losses of Steam Boilers Caused by Blowdown with Using the FMEA Method

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES
Ceyda Kocabaş, A. Savaş
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引用次数: 5

Abstract

ABSTRACT In this study, the boiler blowdown was systematically examined and, the risks that increase the energy loss was determined using the potential Failure Mode and Effects Analysis (FMEA) method. Risk priority numbers (RPN) were calculated for each potential risk. It was revealed that ‘Performing more blowdown than it is necessary’ has the highest priority score. Improvement opportunities were identified by using the tree diagram, which is one of the process improvement techniques. Three suggestions were developed, such as flash steam heat recovery, reduction of water conductivity using the reverse osmosis technique, and the use of both methods. Repayment periods were calculated for each investment. If the flash steam unit and reverse osmosis system are applied together, 113.5 KW/h energy can be saved. It has been demonstrated that the FMEA technique can be used in the investigation and reduction of energy loss. Graphical Abstract
用FMEA方法降低蒸汽锅炉排污能耗
摘要在本研究中,对锅炉排污进行了系统的检查,并使用潜在故障模式和影响分析(FMEA)方法确定了增加能量损失的风险。计算每个潜在风险的风险优先级(RPN)。据透露,“进行超出必要的排污”的优先级最高。通过使用树形图来识别改进机会,树形图是过程改进技术之一。提出了三个建议,如闪蒸热回收、使用反渗透技术降低水的电导率以及使用这两种方法。对每项投资计算还款期。闪蒸气装置与反渗透系统配套使用,可节约能源113.5KW/h。已经证明FMEA技术可以用于研究和减少能量损失。图形摘要
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来源期刊
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
期刊介绍: Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials
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