Sustainable Energy & Environment

Description

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People

  

  

  

1 of 40

  

  

  

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

Publications

  

  

  

84 of 123

  

  

  

• ● Perovskite Materials for Hydrogen Production; Chuangchote, Surawut; Roongraung, Kamonchanok;; 2023; Book chapter review
• ● Perspective on the perovskite quantum dots for flexible photovoltaics; JiabeiYuan, Nopporn Rujisamphan, Wanli Ma, et al.; 2021; Journal article
• ● Perspective on the perovskite quantum dots for flexible photovoltaics; Yuan, Jiabei; Rujisamphan, Nopporn; Ma, et al.; 2021; Journal article
• ● Perspectives on Accurately Analyzing Cyclic Voltammograms for Surface- and Diffusion-Controlled Contributions; Wasinee Pholauyphon, Patcharawat Charoen-amornkitt, Takahiro Suzuki, et al.; 2024; Journal article
• ● Phosphorus Recovery Using a Continuous Reactor for Struvite Production from Biologically Treated Wastewater
  ; Danai Maddewor and Patiya Kemacheevakul ; 2023; Conference proceedings article

Projects

  

  

  

1 of 27

  

  

  

• ● 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