Sustainable Energy & Environment
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Publications
- ● Policy Incentives for Carbon Capture, Utilization and Storage Technology (CCUS) Implementation to Reduce Carbon Emissions and Apply for Methanol Production; ปาณิสรา พรมมานอก, ปรารถนา โพธิ์น้อย, อำนาจ ผดุงศิลป์
; 2024; Conference proceedings article - ● Polyether ether ketone-based membranes and their applications; Jyothi M.S., Muralikrishna Sreeramareddygari,Jyoti Ghatge, et al.; 2025; Chapter in book
- ● Polymer-Assisted Coprecipitation Synthesized Zinc Oxide Nanoparticles and Their Uses for Green Chemical Synthesis via Photocatalytic Glucose Conversions; Jerawut Kaewsaenee, Mullika Tangcham Singhaset, Kamonchanok Roongraung, et al.; 2023; Journal article
- ● Porous Ceramics Adsorbents Based on Glass Fiber-Reinforced Plastics for NOx and SOx Removal; Hiroyuki Kinoshita, Kentaro Yasui, Taichi Hamasuna, et al.; 2022; Journal article
- ● Potential and promisingness of technical options for mitigating greenhouse gas emissions from rice cultivation in Southeast Asian countries; Yagi, Kazuyuki; Sriphirom, Patikorna; Cha-un, et al.; 2020; 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












