This project aims to investigate and develop an energy storage system utilizing solar energy sources through the integration of solar cell technology and Graphene Quantum Dot Battery, representing a novel approach to enhancing energy storage efficiency and prolonging the lifespan of renewable energy systems. The selection of graphene and quantum dots as materials for battery development is attributed to their exceptional properties, including high electrical conductivity, charge storage capacity, efficient energy transfer, and enhanced stability.
การใช้พลังงานทดแทนจากแหล่งพลังงานแสงอาทิตย์ได้รับความสนใจเนื่องจากเป็นพลังงานสะอาดและยั่งยืน แต่การเก็บพลังงานที่ผลิตได้ในระหว่างวันยังคงมีข้อจำกัดในการใช้งานในช่วงกลางคืนหรือเมื่อพลังงานผลิตต่ำ การพัฒนาระบบกักเก็บพลังงานที่มีประสิทธิภาพสูงจึงมีความสำคัญเพื่อให้การใช้พลังงานแสงอาทิตย์เป็นไปอย่างยั่งยืนและมีประสิทธิภาพสูงสุด แบตเตอรี่กราฟีนควันตัมดอทมีคุณสมบัติเด่นในการเก็บพลังงานและการถ่ายโอนพลังงานอย่างรวดเร็ว โดยสามารถเพิ่มประสิทธิภาพและยืดอายุการใช้งานของแบตเตอรี่ได้ จึงเป็นทางเลือกที่ดีในการพัฒนาระบบกักเก็บพลังงานจากแสงอาทิตย์
คณะวิศวกรรมศาสตร์
The evaluation of mango yield and consumer behavior reflects an increasing awareness of product origins, with a growing demand for traceability to understand how the produce has been cultivated and managed. This study explores the relationship between mango characteristics and cultivation practices before harvest, using location identification to provide insights into these processes. To achieve this, a model was developed to detect and locate mangoes using 2D images via a Deep Learning approach. The study also investigates techniques to determine the real-world coordinates of mangoes from 2D images. The YOLOv8 model was employed for object detection, integrated with camera calibration and triangulation techniques to estimate the 3D positions of detected mangoes. Experiments involved 125 trials with randomized mango positions and camera placements at varying yaw and pitch angles. Parameters extracted from sequential images were compared to derive the actual 3D positions of the mangoes. The YOLOv8 model demonstrated high performance with prediction metrics of Precision (0.928), Recall (0.901), mAP50 (0.965), mAP50-95 (0.785), and F1-Score (0.914). These results indicate sufficient accuracy for predicting mango positions, with an average positional error of approximately 38 centimeters.
คณะอุตสาหกรรมอาหาร
The "PRIVARY" product is an innovative herbal jelly beverage designed to support weight management and promote health through the benefits of four Thai herbs: roselle, safflower, chrysanthemum, and bitter melon. These herbs are rich in active compounds such as flavonoids, beta-carotene, and anthocyanins, which help reduce blood lipids, prevent inflammation, and exhibit antioxidant properties. The product emphasizes convenience and caters to health-conscious consumers using advanced production techniques like Inverse and External Gelation to create spheres encapsulating key bioactive compounds. Additionally, the product aligns with sustainability goals by enhancing the value of Thai herbs and supporting local communities.
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
The " Center of Invention for Future and Sustainability Project (Continuing)" serves as a continuation of a pilot initiative focused on the retrofitting of older buildings (Vach. 7), specifically a five-story structure. The primary aim of this project is to develop methodologies for enhancing the sustainability of existing buildings in order to mitigate carbon dioxide emissions. In the execution of the Future and Sustainability Innovation Development Center Project (Continuing), a comprehensive analysis of relevant data and theoretical frameworks has been undertaken, leading to the formulation of a research methodology designed to identify optimal strategies for retrofitting older buildings to reduce carbon dioxide emissions. This approach is structured into three principal phases: the combustion of fuels associated with transportation, labor, and materials; the electricity consumption during the construction process; and the accumulation of greenhouse gases from both existing and new construction materials. The project employs an experimental research design, wherein empirical data is collected to evaluate and quantify the equivalent carbon dioxide emissions arising from the construction of new buildings compared to the retrofitting of the selected case study building. Subsequent analysis of the collected data revealed that retrofitting the existing structure—through the integration of sustainable design principles—resulted in greenhouse gas emissions of 11.88 kgCO2e/sq.m. In contrast, the emissions associated with new building construction amounted to 299.35 kgCO2e/sq.m., indicating a reduction in carbon dioxide emissions by a factor of approximately 26 when compared to the construction of new buildings.