Assessing Ohio's Biomass Resources for Energy Potential Using GIS

Jeanty, P. Wilner and Warren, Dave and Hitzhusen, Fred (2004): Assessing Ohio's Biomass Resources for Energy Potential Using GIS.

Abstract

This recently completed AEDE study funded by Ohio DOD involves a geo-referenced inventory by county of Ohio biomass resources for energy. Categories include forest and crop residues, livestock manure, municipal solid waste and food processing waste. This is an update and expansion of an earlier (1982) inventory of biomass by Hitzhusen et al. It also disaggregates and expands a study by Walsh et al. in 2000 which ranked Ohio 11th among the 50 states in total biomass availability. By estimating and geo-referencing the sustainable quantities of various categories of biomass for energy by county, it is possible to identify the spatial concentrations of various biomass renewable energy feedstocks that may be economically viable for various processes for conversion. These conversion processes in turn have implications for environmental improvement and reduced dependence on foreign oil imports. A better understanding of the technical and economic pros and cons of the most promising conversion processes will be required along with further data collection and refinements of this inventory (particularly the food processing waste subset) before detailed policy recommendations can be made. However, this study is hopefully a good start toward that goal and should provide direction and focus for future analysis and recommendations for a more renewable and sustainable energy and environmental future for Ohio.

• Item Type: MPRA Paper
• Language: English
• Keywords: Availability, Biomass energy, Crop residues, Livestock manure, Wood wastes, Municipal solid wastes.
• Subjects: Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q42 - Alternative Energy Sources

References

Jeanty, P.W., D. Warren, and F. Hitzhusen. 2004. Assessing Ohio's biomass resources for energy potential using GIS. Department of Agricultural, Environmental, and Development Economics; The Ohio State University. Columbus, OH.