Athipthep Boonman

Biography

Athipthep Boonman is a guest research assistant jointly associated with the Agriculture, Forestry, and Ecosystem Services, and Biodiversity, Ecology, and Conservation research groups of the IIASA Biodiversity and Natural Resources Program. He is a PhD candidate in the Energy Technology Program at King Mongkut's University of Technology Thonburi, Advanced Fuel Processing Laboratory (AFPL), The Joint Graduate School of Energy and Environment (JGSEE), Center of Excellence on Energy Technology and Environment (CEE)-MHESI in Thailand, and has an academic background in Science, Technology, and Innovation Policy, bioenergy and environmental technology, and geoinformatics technology.

His research interests include science, technology, and innovation policy; techno-economic modeling (BeWhere model); bioenergy technology; biomass resources assessment; greenhouse gas and air pollution programs; and estimating emissions from biomass open burning in Thailand using the MODIS-MCD45A1 product, geospatial and remote sensing platforms, and data science (i.e., ArcGIS Pro, Google Earth Engine, GAMS, Python, Statistics with R). His current priority at IIASA is to use mathematical programming solvers to develop a method for least-cost optimization based on selected criteria such as plant capacity, transportation cost, and conversion technologies (with or without biomass pretreatment) for a community-based biomass power plant with high spatiotemporal resolution.

Prior to joining IIASA, he worked as an assistant researcher at the Science Technology and Innovation Policy Institute: STIPI-KMUTT where he focused on academic projects including the direction for an alternative energy technology roadmap of the Energy Policy and Planning Office (EPPO) and demand articulation; the anchor program design for the Eastern Economic Corridor of Innovation (EECi)-bioenergy sector; and worked with a JGSEE research group concentrating on the spatial and temporal grided emission distribution of the energy and land use, land-use change, and forestry (LULUCF) sector, as well as air emission inventory scenarios in Thailand using GIS and satellite data to support air quality modeling (i.e., CAMx, GAINS model).


Last update: 14 SEP 2022