Sustainable Energy & Environment
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Publications
- ● ENHANCING BIOTRANSFORMATION OF CASSAVA PULP TO BIOMETHANE WITH LIQUID HOT WATER AND MICROBIAL PRETREATMENTS; Saengmany Phommakod, Suppanut Varongchayakul, Warinthorn Songkasiri, et al.; 2025; Conference proceedings article
- ● ENHANCING MANGROVE BIOCHAR RESIDUE FOR PHOSPHATE ADSORPTION BY MODIFIED WITH Fe3+, K+, AND Na+; Sokkeang Be*, Anawat Pinisakul; 2021; Conference proceedings article
- ● Enhancing methanogenesis in fed-batch anaerobic digestion of high-strength sulfate-rich wastewater using zero valent scrap iron; Paepatung N., Songkasiri W., Yasui H., et al.; 2020; Journal article
- ● Enhancing Perovskite Thin Films with Butylammonium Iodide-Lead-Tetrahydrofuran: Surface Healing and 2D Formation in Annealing-Free Single-Crystal Films for Solar Cell Applications; Farhad Azad, Thidarat Supasai, Annafi Ado Yaro, et al.; 2024; Journal article
- ● ENHANCING THE EFFICIENCY OF SPIRAL CONVEYOR BELT CLEANING USING ULTRASONIC TECHNOLOGY; กรรณกมล แสนสวาท, เขมฤทัย ถามะพัฒน์, สุวลักษณ์ อัศวสันติ และ สุวิช ศิริวัฒนโยธิน; 2024; Journal 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












