Combined EnergyPlus with Weather Forecast for Chiller Mode Optimization
碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系 === 107 === With more greenhouse gases accumulation and worse global warming on earth, many extreme climates happen around the world. In the meantime, thousands of people died and inestimable financial lost in many natural disasters. Therefore, people gradually pay att...
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ndltd-TW-107TIT007030332019-07-06T05:58:33Z http://ndltd.ncl.edu.tw/handle/3348t5 Combined EnergyPlus with Weather Forecast for Chiller Mode Optimization EnergyPlus結合天氣預測應用於冰水主機佳化排程 CHEN, CHUN-HUNG 陳俊宏 碩士 國立臺北科技大學 能源與冷凍空調工程系 107 With more greenhouse gases accumulation and worse global warming on earth, many extreme climates happen around the world. In the meantime, thousands of people died and inestimable financial lost in many natural disasters. Therefore, people gradually pay attention to the concept about energy saving and carbon reduction in order to save the world. When it comes to energy consumption of residential/commercial buildings, the HVAC system(heating, ventilation and air conditioning ) is the most important factor need to be considered in. Because of Taiwan in the subtropical climate zone , there are very few heating system and equipment in residential-office buildings.The main energy consumption is from chillers and other ancillary equipment in central air conditioning system.There are many kind of energy-saving methods, such as : ice water in/out chiller temperature control, cooling water in/out chiller temperature control, pump frequency control and fan frequency control in cooling tower... and so on. This research is focused on the chiller mode optimization for one factory-office building in Luzhu District, Taoyuan City.We can estimate and calculate the building energy consumption under different season and environment with the meteorological data by EnergyPlus™. After that,We can compare all results from different kind of chiller modes to infer the most energy-saving chiller mode. Finally, the summer simulation results show that the average energy savings percent is 6.22% and the best energy savings percent is 9.97% compared with the most power consuming chiller mode. The electric bill will reduce almost NTD 10,000 in one summer day. On top of that, the winter simulation results show that the average energy savings percent is 3.45% and the best energy savings percent is 5.17% compared with the most power consuming chiller mode. The electric bill will also reduce almost NTD 2,000 in one winter day. These results prove that under the condition of meeting the demand of loads and indoor comfort, the appropriate chillers mode can save a considerable amount of electricity consumption.Therefore, if the building central monitoring system can be imported into the energy analysis simulation software in future, it will be able to provide substantial power-saving income for the building managers, but also contribute to the effort on energy saving and carbon reduction for earth. LEE, WEN-SHING 李文興 2019 學位論文 ; thesis 57 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 === 107 === With more greenhouse gases accumulation and worse global warming on earth, many extreme climates happen around the world. In the meantime, thousands of people died and inestimable financial lost in many natural disasters. Therefore, people gradually pay attention to the concept about energy saving and carbon reduction in order to save the world. When it comes to energy consumption of residential/commercial buildings, the HVAC system(heating, ventilation and air conditioning ) is the most important factor need to be considered in. Because of Taiwan in the subtropical climate zone , there are very few heating system and equipment in residential-office buildings.The main energy consumption is from chillers and other ancillary equipment in central air conditioning system.There are many kind of energy-saving methods, such as : ice water in/out chiller temperature control, cooling water in/out chiller temperature control, pump frequency control and fan frequency control in cooling tower... and so on.
This research is focused on the chiller mode optimization for one factory-office building in Luzhu District, Taoyuan City.We can estimate and calculate the building energy consumption under different season and environment with the meteorological data by EnergyPlus™. After that,We can compare all results from different kind of chiller modes to infer the most energy-saving chiller mode.
Finally, the summer simulation results show that the average energy savings percent is 6.22% and the best energy savings percent is 9.97% compared with the most power consuming chiller mode. The electric bill will reduce almost NTD 10,000 in one summer day. On top of that, the winter simulation results show that the average energy savings percent is 3.45% and the best energy savings percent is 5.17% compared with the most power consuming chiller mode. The electric bill will also reduce almost NTD 2,000 in one winter day. These results prove that under the condition of meeting the demand of loads and indoor comfort, the appropriate chillers mode can save a considerable amount of electricity consumption.Therefore, if the building central monitoring system can be imported into the energy analysis simulation software in future, it will be able to provide substantial power-saving income for the building managers, but also contribute to the effort on energy saving and carbon reduction for earth.
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author2 |
LEE, WEN-SHING |
author_facet |
LEE, WEN-SHING CHEN, CHUN-HUNG 陳俊宏 |
author |
CHEN, CHUN-HUNG 陳俊宏 |
spellingShingle |
CHEN, CHUN-HUNG 陳俊宏 Combined EnergyPlus with Weather Forecast for Chiller Mode Optimization |
author_sort |
CHEN, CHUN-HUNG |
title |
Combined EnergyPlus with Weather Forecast for Chiller Mode Optimization |
title_short |
Combined EnergyPlus with Weather Forecast for Chiller Mode Optimization |
title_full |
Combined EnergyPlus with Weather Forecast for Chiller Mode Optimization |
title_fullStr |
Combined EnergyPlus with Weather Forecast for Chiller Mode Optimization |
title_full_unstemmed |
Combined EnergyPlus with Weather Forecast for Chiller Mode Optimization |
title_sort |
combined energyplus with weather forecast for chiller mode optimization |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/3348t5 |
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