Sustainable Energy & Environment
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Publications
- ● Elucidating the effects of emulsification on the thermal performances of palm oil-based phase change materials by molecular dynamics simulations; Manisara Phiriyawirut, Nant Nammahachak, Pansanit Soongnok, et al.; 2023; Journal article
- ● Embodied Energy Coefficient Quantification and Implementation for an Energy-Conservative House in Thailand; Nattaya Sangngamratsakul, Kuskana Kubaha and Siriluk Chiarakorn; 2024; Journal article
- ● Energy arbitrage using second-life electric vehicle battery: A feasibility study based on CU-BEMS data; Aree Wangsupphaphol, Sotdhipong Phichaisawat, Awang Jusoh; 2025; Journal article
- ● Energy Efficiency and Environmental Sustainability of Insulated Roofs for Stand-Alone Convenience Store in Hot-Humid Climate; Ranee Jan, Pipat Chaiwiwatworakul, Thapat Silalertruksa; 2023; Conference proceedings article
- ● Engineered flow fields for enhanced vanadium redox flow battery performance using topology optimization; Napaswarin Janpetch, Naruemol Prasongdai, Sangduen Changpradit, et al.; 2026; 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












