A Case Study of the Application of AIoT Technology to Energy Management

碩士 === 國立臺灣大學 === 資訊管理組 === 107 === As climate change threatens the living conditions of human beings, the whole world aggressively promote energy conservation and carbon reduction. The Taiwan government has also proposed relevant policies. In order to respond to government policies and the corporat...

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Main Authors: Hsi-Wen Chiu, 邱喜文
Other Authors: 曹承礎
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/7jd4ms
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spelling ndltd-TW-107NTU055850012019-06-27T05:48:08Z http://ndltd.ncl.edu.tw/handle/7jd4ms A Case Study of the Application of AIoT Technology to Energy Management AIoT技術應用於能源管理之個案研究 Hsi-Wen Chiu 邱喜文 碩士 國立臺灣大學 資訊管理組 107 As climate change threatens the living conditions of human beings, the whole world aggressively promote energy conservation and carbon reduction. The Taiwan government has also proposed relevant policies. In order to respond to government policies and the corporate social responsibility, e-Formula endeavor to be the energy conservation solution provider based on the latest technology and our existing client fields. Usually, the air-conditioning electricity consumption is the major proportion (more than 40%) of the total electricity consumption in the commercial building, especially in the central air conditioning system. So, we use the advanced AIoT (AI+IoT) technology to optimize and enhance the efficiency of chiller systems to save the electricity and reduce the electricity bills. At first, we use the IoT technology to connect all the important components of the central air conditioning, such as chiller, water pump, and cooling tower to be monitored and controlled. And then, the AI technology is applied to calculate the best operation parameters of all the components to enhance the system efficiency and save the energy. Additionally, the air condition system healthy is also monitored by the AIoT system, thus the loss caused by the abnormal operation and suddenly out of control can be avoided. Until now, we have successfully completed three cases in the past two years, and proofed that we can save more than 20% for each cases by our AIoT system. The ESCO is used in our business model, and it means that the initial construction cost of the system includes the software and hardware are contributed by e-Formula, and the clients will pay back to e-Formula from the electricity bill saving monthly. Usually, the ROI will between 3-5 years. After the pay back is finished, the client can own the system and keep the energy saving benefits. 曹承礎 李存修 2019 學位論文 ; thesis 37 zh-TW
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description 碩士 === 國立臺灣大學 === 資訊管理組 === 107 === As climate change threatens the living conditions of human beings, the whole world aggressively promote energy conservation and carbon reduction. The Taiwan government has also proposed relevant policies. In order to respond to government policies and the corporate social responsibility, e-Formula endeavor to be the energy conservation solution provider based on the latest technology and our existing client fields. Usually, the air-conditioning electricity consumption is the major proportion (more than 40%) of the total electricity consumption in the commercial building, especially in the central air conditioning system. So, we use the advanced AIoT (AI+IoT) technology to optimize and enhance the efficiency of chiller systems to save the electricity and reduce the electricity bills. At first, we use the IoT technology to connect all the important components of the central air conditioning, such as chiller, water pump, and cooling tower to be monitored and controlled. And then, the AI technology is applied to calculate the best operation parameters of all the components to enhance the system efficiency and save the energy. Additionally, the air condition system healthy is also monitored by the AIoT system, thus the loss caused by the abnormal operation and suddenly out of control can be avoided. Until now, we have successfully completed three cases in the past two years, and proofed that we can save more than 20% for each cases by our AIoT system. The ESCO is used in our business model, and it means that the initial construction cost of the system includes the software and hardware are contributed by e-Formula, and the clients will pay back to e-Formula from the electricity bill saving monthly. Usually, the ROI will between 3-5 years. After the pay back is finished, the client can own the system and keep the energy saving benefits.
author2 曹承礎
author_facet 曹承礎
Hsi-Wen Chiu
邱喜文
author Hsi-Wen Chiu
邱喜文
spellingShingle Hsi-Wen Chiu
邱喜文
A Case Study of the Application of AIoT Technology to Energy Management
author_sort Hsi-Wen Chiu
title A Case Study of the Application of AIoT Technology to Energy Management
title_short A Case Study of the Application of AIoT Technology to Energy Management
title_full A Case Study of the Application of AIoT Technology to Energy Management
title_fullStr A Case Study of the Application of AIoT Technology to Energy Management
title_full_unstemmed A Case Study of the Application of AIoT Technology to Energy Management
title_sort case study of the application of aiot technology to energy management
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/7jd4ms
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