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Energy storage system for solar cells by using graphene quantum dot battery

Abstract

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.

Objective

การใช้พลังงานทดแทนจากแหล่งพลังงานแสงอาทิตย์ได้รับความสนใจเนื่องจากเป็นพลังงานสะอาดและยั่งยืน แต่การเก็บพลังงานที่ผลิตได้ในระหว่างวันยังคงมีข้อจำกัดในการใช้งานในช่วงกลางคืนหรือเมื่อพลังงานผลิตต่ำ การพัฒนาระบบกักเก็บพลังงานที่มีประสิทธิภาพสูงจึงมีความสำคัญเพื่อให้การใช้พลังงานแสงอาทิตย์เป็นไปอย่างยั่งยืนและมีประสิทธิภาพสูงสุด แบตเตอรี่กราฟีนควันตัมดอทมีคุณสมบัติเด่นในการเก็บพลังงานและการถ่ายโอนพลังงานอย่างรวดเร็ว โดยสามารถเพิ่มประสิทธิภาพและยืดอายุการใช้งานของแบตเตอรี่ได้ จึงเป็นทางเลือกที่ดีในการพัฒนาระบบกักเก็บพลังงานจากแสงอาทิตย์

Other Innovations

Revolutionizing pill identification by using deep convolutional neural network based on widely-used essential household remedy drugs

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Revolutionizing pill identification by using deep convolutional neural network based on widely-used essential household remedy drugs

This study explores the application of deep convolutional neural networks (CNNs) for accurate pill identification, addressing the limitations of traditional human-based methods. Using a dataset of 1,250 images across 10 household remedy drugs, various CNN architectures, including YOLO models, were tested under different conditions. Results showed that natural lighting was optimal for imprinted pills, while a lightbox improved detection for plain pills. The YOLOv5-tiny model demonstrated the best detection accuracy, and efficientNet_b0 achieved the highest classification performance. While the model showed strong results, its generalization is limited by sample size and drug variability. Nonetheless, this approach holds promise for enhancing medication safety and reducing errors in outpatient care.

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A study and design of PM collector using electrostatic precipitation for PM source analysis

คณะวิศวกรรมศาสตร์

A study and design of PM collector using electrostatic precipitation for PM source analysis

During the recent years, PM2.5 concentration is rising above the safety exposure limit in Thailand. PM2.5 could have originated from various sources such as exhaust fumes, open air burning, wildfire, etc. This concludes that all cities or places would have different PM source contributions. Most studies regarding the PM source findings were done based on chemical analysis. Our research team would like to predict the PM sources physically by nanostructures analysis. These methods would require the PM dust to be collected in a limited amount of time and dry. The use of paper filters may cause contamination from filter material which may cause errors in result evaluation. Our team suggests using Electrostatic Precipitator (ESP) where electrostatics is used to capture PM dust. This research mainly focuses on designing and building the ESP system for PM collection whereas the requirement is to collect at least 100 mg of PM dust within 1 day which would be adequate for nanostructure analysis. The study revealed that the customized ESP system could achieve of up to 80% collecting efficiency (which is more than the commercial ESP that we previously used), there’s a also a parametric study of relationships between flow velocity and collecting efficiency where collecting efficiency is inversely proportional to flow velocity. The suggested air velocity is not to exceed 2 m/s. However, there’re still more room for improvement of the ESP system for PM collection such as the convenience of PM collection process which resulted from the ESP construction geometry and sizes.

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Effects of Different Salinity Levels on Survival Rate and Growth Performance of Golden Apple Snail (Pomacea canaliculata) for Brackish Water Aquaculture Development

คณะเทคโนโลยีการเกษตร

Effects of Different Salinity Levels on Survival Rate and Growth Performance of Golden Apple Snail (Pomacea canaliculata) for Brackish Water Aquaculture Development

This study aimed to investigate the effects of different salinity levels on survival rate and growth performance of golden apple snail (Pomacea canaliculata). The experiment was conducted at salinity levels of 0, 5, 10, and 15 ppt, with four replicates each, over an 8-week period. The results showed that golden apple snails reared at 5-10 ppt exhibited survival rates and growth performance not significantly different (p>0.05) from those in the freshwater control group (0 ppt). These findings suggest the potential for developing golden apple snail culture in brackish water systems and the possibility of integration with other brackish water species in polyculture systems.

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