Sustainable Energy & Environment
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Publications
- ● Nonlinear recursive gain controller design for transient stability enhancement of power systems; Mujjalinvimut E.; Kanchanaharuthai A.; 2024; Journal article
- ● Novel synthesis of ammonia borane fluoride induced ZIF67 derivatives using facile one-step solution process for energy storage; Su-Ching Wang, Pin-Yan Lee, Chia-Shuo Hsu, et al.; 2023; Journal article
- ● Novel system of corn cob pretreatment with acid–base mixture solution for enhanced enzymatic hydrolysis and reusability; Damrongsak Arlai, Kaokanya Sudaprasert, Chakrit Tachaapaikoon, et al.; 2025; Journal article
- ● Nowcasting Photovoltaic using All-Sky Camera with Cloud Cover Technique and Deep Learning at Bang Khun Thian campus, KMUTT; Nattapong Chayawatto, Itsara Masiri, Somjet Pattarapanitchai, et al.; 2023; Poster
- ● Numerical Analysis of Indoor Air Characteristics and Window Screen Influence on Particulate Matter Dispersion in a Childcare Center Using Computational Fluid Dynamics; Simatupang C.A.; Strezov V.; Boontanon S.K.; Pongkiatkul P.; Boontanon N.; Jindal R.; 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












