January 20, 2023
Congratulations on the “Best Presenter Award !”
In the 11th Joint Conference on Renewable Energy and Nanotechnology (JCREN 2022) was held from 20 to 21
January 2023 at Mindanao University, Philippines, a master course student won the Best Presenter Award.
W
Winners
1st master course student: Mr. Takuma Kanemura
Prof. Kiyoshi Dowaki (Tokyo University of Science, Supervisor)
Dr. Shab Miao (Tokyo University of Science, Assistant Professor)
1st master course student: Mr. Takuma Kanemura
Prof. Kiyoshi Dowaki (Tokyo University of Science, Supervisor)
Dr. Shab Miao (Tokyo University of Science, Assistant Professor)
Research Title
The optimal performance of the air conditioner using the natural refrigerant of GF-08 considering LCA thinking
The optimal performance of the air conditioner using the natural refrigerant of GF-08 considering LCA thinking
Details
This study focused on developing an energy-saving, high-accuracy simulation model of the indoor thermal environment of an air conditioner using the hydrocarbon refrigerant GF-08. It evaluated its energy-saving performance in practical use. Note that the refrigerant of GF-08 consists of 50 vol.％ propane and 50 vol.％ of propylene, one of the natural refrigerants. Natural refrigerants with low energy consumption and low global warming potential are preferable. Here, first, the annual heat load calculations using a CFD simulator were carried out and validated compared to the site measurement data of temperatures. Next, the optimal condition that contributed to the eco-burden mitigation was found using the LCA methodology. Note that the coverage of our model included not only the technology-specific requirements (constant), but also the number of people change and the temperature change (dynamic aspects).
This study focused on developing an energy-saving, high-accuracy simulation model of the indoor thermal environment of an air conditioner using the hydrocarbon refrigerant GF-08. It evaluated its energy-saving performance in practical use. Note that the refrigerant of GF-08 consists of 50 vol.％ propane and 50 vol.％ of propylene, one of the natural refrigerants. Natural refrigerants with low energy consumption and low global warming potential are preferable. Here, first, the annual heat load calculations using a CFD simulator were carried out and validated compared to the site measurement data of temperatures. Next, the optimal condition that contributed to the eco-burden mitigation was found using the LCA methodology. Note that the coverage of our model included not only the technology-specific requirements (constant), but also the number of people change and the temperature change (dynamic aspects).
Congratulations!
