Investigation of Operating Strategy for Air Compressor System
碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系碩士班 === 104 === Since the compressed air generated by the air compressor is the main energy source of many factory, the air compressor has become one of the main energy-consuming equipment in factory. Whether traditional or high-tech manufacturing industry can be seen t...
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ndltd-TW-104TIT057030242019-05-15T22:54:13Z http://ndltd.ncl.edu.tw/handle/ugjzan Investigation of Operating Strategy for Air Compressor System 空氣壓縮機群組運轉策略研究 Cheng-Bin Kuo 郭政彬 碩士 國立臺北科技大學 能源與冷凍空調工程系碩士班 104 Since the compressed air generated by the air compressor is the main energy source of many factory, the air compressor has become one of the main energy-consuming equipment in factory. Whether traditional or high-tech manufacturing industry can be seen the air compressor equipment, which accounts for most of the total electricity use by 10 to 30% of electricity consumption, air compressor equipment electricity consumption accounted even up to 50% in some industries. Since the compressed air system to provide production use year-round, in the meager profit of current era, how to effectively manage and improve compressed air system efficiency and to reduce production costs and improve product competitiveness, the best equipment operation is an inevitable trend. Current policy is currently running mostly by the user to enable or disable multiple air compressor based on experience, the result is usually far greater than the actual amount of requirement, resulting in multiple hosts simultaneously load and unload or capacity modulation control and considerable waste of electricity. Therefore, the control optimization strategy to become an important objective of the present study. This study was based on information provided by the air compressor central monitoring of a factory, the application K-means clustering method for finding information on the differences between different hosts of the total power consumption of the control policy for different groups of air compressors compressed air load, use excel tools data analysis to identify the best strategy of the operation, and with the central monitoring data to compare the calculated power policy after improving its energy efficiency. The current strategy is to run #2, #4, #5 and #13 for the operation of the main air compressor, but the rest are still sporadic host turned on and the load rate is very low, so that the system average power consumption of about 494.9kW. According to the study, if you choose a more energy-efficient operation mode of operation for different flow needs, each air compressor load rate, to avoid the air compressor unloading empty because the chance of causing increased power consumption empty, so the average power consumption mode of operation It will drop to 466.1kW, energy saving rate of 5.8%. Wen-Shing Lee Ph.D. 李文興 2016 學位論文 ; thesis 0 zh-TW |
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碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系碩士班 === 104 === Since the compressed air generated by the air compressor is the main energy source of many factory, the air compressor has become one of the main energy-consuming equipment in factory. Whether traditional or high-tech manufacturing industry can be seen the air compressor equipment, which accounts for most of the total electricity use by 10 to 30% of electricity consumption, air compressor equipment electricity consumption accounted even up to 50% in some industries. Since the compressed air system to provide production use year-round, in the meager profit of current era, how to effectively manage and improve compressed air system efficiency and to reduce production costs and improve product competitiveness, the best equipment operation is an inevitable trend.
Current policy is currently running mostly by the user to enable or disable multiple air compressor based on experience, the result is usually far greater than the actual amount of requirement, resulting in multiple hosts simultaneously load and unload or capacity modulation control and considerable waste of electricity. Therefore, the control optimization strategy to become an important objective of the present study.
This study was based on information provided by the air compressor central monitoring of a factory, the application K-means clustering method for finding information on the differences between different hosts of the total power consumption of the control policy for different groups of air compressors compressed air load, use excel tools data analysis to identify the best strategy of the operation, and with the central monitoring data to compare the calculated power policy after improving its energy efficiency.
The current strategy is to run #2, #4, #5 and #13 for the operation of the main air compressor, but the rest are still sporadic host turned on and the load rate is very low, so that the system average power consumption of about 494.9kW. According to the study, if you choose a more energy-efficient operation mode of operation for different flow needs, each air compressor load rate, to avoid the air compressor unloading empty because the chance of causing increased power consumption empty, so the average power consumption mode of operation It will drop to 466.1kW, energy saving rate of 5.8%.
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author2 |
Wen-Shing Lee Ph.D. |
author_facet |
Wen-Shing Lee Ph.D. Cheng-Bin Kuo 郭政彬 |
author |
Cheng-Bin Kuo 郭政彬 |
spellingShingle |
Cheng-Bin Kuo 郭政彬 Investigation of Operating Strategy for Air Compressor System |
author_sort |
Cheng-Bin Kuo |
title |
Investigation of Operating Strategy for Air Compressor System |
title_short |
Investigation of Operating Strategy for Air Compressor System |
title_full |
Investigation of Operating Strategy for Air Compressor System |
title_fullStr |
Investigation of Operating Strategy for Air Compressor System |
title_full_unstemmed |
Investigation of Operating Strategy for Air Compressor System |
title_sort |
investigation of operating strategy for air compressor system |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/ugjzan |
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