Sustainable Energy & Environment
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Publications
- ● A Study On Suitable Electrodes For Low-Energy Power Generation From Carbon Waste in Factories; Surasak Channgamthiang; Pheeraphat Nusukhon; Pakpoom Chansri; 2023; Conference proceedings article
- ● A Study on Thermal Conductivity Measurement of Building Materials using Peltier Devices; อรุณสวัสดิ ปรีดาถวัลย์, นริส ประทินทอง, สมบูรณ์ เวชกามา; 2025; Conference proceedings article
- ● A systematic study of operational parameters on performance and ethanol crossover of direct ethanol fuel cell by design of experiment; Panuwat Ekdharmasuit, Supaporn Therdthianwong, and Apichai Therdthianwong; 2023; Journal article
- ● Batch and Continuous Flow Treatment Studies of Trichloroethylene Contaminated in Water by Silver and Cerium Doped Zinc Oxide Adsorption and Photocatalysis; SARTTRAWUT TULAPHOL, NURAK GRISDANURAK, FRANKLIN ANARIBA, et al.; 2023; Journal article
- ● Bi-Level Multi-Objective Optimization Model for Supplier Selection with Environmental Concerns in Automotive Plastic Film Industry; Teerat techakiattinan, Charoenchai Khompatraporn; 2023; Conference proceedings article
Projects
- ● Absolute environmental sustainability assessment of hydrogen production from organic waste in Thailand; SHABBIR H. GHEEWALA - The Joint Graduate School of Energy and Environment
- ● “A feasibility study on the replacement of current diesel vehicles by electric, CNG, and EURO 6 exhaust emission standard vehicles in the Bangkok Metropolitan Region for ambient PM2.5 concentration reduction”.; YOSSAPONG LAOONUAL - Department of Mechanical Engineering
- ● A Greenhouse Rainwater Catchment System for Vegetable Cultivation in the Non-Irrigated Area; ANUSORN RATTANATHANAOPAT - Royal Project Foundation and King'S Recommended Project Supporting Center
- ● Air Pollution Assessment using Satellite Data: A Case Study of Greater Bangkok; KASEMSAN MANOMAIPIBOON - The Joint Graduate School of Energy and Environment
- ● An Accurate Description of Pre-Bias Space-Charge-Limited Current Measurements in Perovskite Thin Films for Accurate Charge Transport Properties: A New Machine Learning-Based Experimental-Computational Study; NON THONGPRONG - Office of the Dean












