Sustainable Energy & Environment
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Publications
- ● Biomethanation of Napier Grass Mono-digestion in Single-Stage Anaerobic Completely Stirred Tank Reactors Seeded with Cow Manure and Anaerobic Sludge; Kullavanijaya, Pratin; Chavalparit, Orathai;; 2022; Journal article
- ● Biomethanation Potential and Enhancement of Acacia Leaves Waste Via Pretreatment and Co-Digestion Strategy; Hirunsupachote, Supachai; Kullavanijaya, Pratin; Chavalparit, et al.; 2022; Journal article
- ● Bioremediation of gaseous methyl tert-butyl ether by combination of sulfuric acid modified bagasse activated carbon-bone biochar beads and Acinetobacter indicus screened from petroleum contaminated soil; Pongkua, Waleeporn; Dolphen, Rujira; Thiravetyan, et al.; 2020; Journal article
- ● Biowaste Materials as Protein-amino Based Adsorbents for CO2 Capture Technologies; Suthita Nueangkaew, Yordkhuan Tachapermpon and Chairat Treesubsuntorn; 2025; Conference proceedings article
- ● Bluff body design for vortex-induced vibration energy harvesting; N. Jankul, S. Supatheerawong, S. Yaiboontham, et al.; 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












