Sustainable Energy & Environment

Description

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People

  

  

  

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• AMNAT CHIDTHAISONG
• AMORNRAT KAEWPRADAP
• AMPAI CHANACHAI
• ANAWACH SANGSWANG
• ANAWAT PINISAKUL

Publications

  

  

  

15 of 122

  

  

  

• ● A Study of Laser Ablation Simulation on Lead Telluride; Tanaphon Khokham, Voravit Kosalathip, Naris Pratinthong and Taswal Kumpeerpun; 2023; Journal article
• ● A study of nano-micro-bubble process for CO2 absorption in water for biogas upgrading application; Puttipong Tantikhajorngosol, Saithip Wongsagoon, Weerawan Laosiripojana, et al.; 2024; Journal article
• ● A Study of Sustainability Concepts for Developing Green Universities in Thailand; Preecha Aregarot, Kuskana Kubaha and Siriluk Chiarakorn2; 2024; Journal article
• ● A study on binderless co-pelletization of industrial rice-powder wastes and teak sawdust at low and elevated temperatures; Munsin, Ronnachart; Udtasri, Jakkarin; Topaiboul, et al.; 2022; Journal article
• ● A Study on Effect of Load Fluctuation on the Efficiency of Boiler; นภรรท แสนสร้อย, สมบูรณ์ เวชกามา, จุลละพงษ์ จุลละโพธิ; 2025; Conference proceedings article

Projects

  

  

  

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• ● 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