Sustainable Energy & Environment
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Publications
- ● Research and Development of a Dual-Fuel Radiant Burner for Diverse Applications: Utilizing of Liquefied Petroleum Gas and Bio-Ethanol; อุษา มากมูล กราร์, กนกกาญจน์ จิรกุลสมโชค; 2024; Journal article
- ● Reuse of calcium carbide and water treatment residues in the bottom clay liner of a municipal solid waste landfill; Woottipong Prakongwittaya, Suwimol Asavapisit, Rungroj Piyaphanuwat; 2020; Journal article
- ● Role of calcium acetate in promoting Vibrio campbellii bioluminescence and alleviating salinity stress in Episcia cupreata; Chonjoho N.; Thiravetyan P.; Boonapatcharoen N.; Dolphen R.; 2025; Journal article
- ● SARS-CoV-2 RNA surveillance in large to small centralized wastewater treatment plants preceding the third COVID-19 resurgence in Bangkok, Thailand; Sangsanont, Jatuwat; Rattanakul, Surapong; Kongprajug, et al.; 2022; Journal article
- ● Scenario-Based and Sensitivity-Driven Energy Management for Carbon-Neutral University Campuses in KMUTT; Chonnapat Hemmuang, Aumnad Phdungsilp, Somboon Wetchakama; 2026; 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












