Development of Demand Controller with OpenADR 2.0a

• Main Authors: LI, WEI-HAN, 李韋翰
• Other Authors: WU, YU-CHI
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/avf64w

碩士 === 國立聯合大學 === 電機工程學系碩士班 === 107 === This research, based on the open framework of OpenADR, aims setting up an OpenADR VTN (virtual top node) server in the Linux Ubuntu and developing an OpenADR VEN (virtual end node) controller on a Raspberry Pi 3. Both VTN and VEN can communicate with each other via OpenADR protocols to perform demand response (DR). The demand control/energy control is achieved through an infrared learning/transmitting module for controlling appliances (air conditioner). A temperature sensor and a non-intrusive current sensor are utilized to measure the instantaneous temperature and load current. The measured data are uploaded to the database through the power line communication (PLC). The developed system is tested under two conditions: with participating DR via OpenADR and without participating DR. Four different strategies for controlling air conditioning are tested for the condition with participating DR: (1) 15 minutes for air-conditioning mode and 15 minutes for fanning mode, (2) 30 minutes for air-conditioning mode and 15 minutes for fanning mode, (3) 45 minutes for air-conditioning mode and 15 minutes for fanning mode, and (4) 60 minutes for air-conditioning mode and 15 minutes for fanning mode. In the condition without participating DR under similar environmental temperature, increasing the temperature setting of the air conditioning by 1 degree Celsius can obtain 9% of energy saving. In the condition with participating DR program, three controlling strategies for air conditioning can save energy by 47%, 28%, 21%, and 12%, respectively. When the number of users participating in the OpenADR program increases, the developed system can provide the power of sand into a tower, decreasing significant demand.