If we've left out important UTIA personnel or resources, please send us a link.

 

News

Fast-growing trees may yield high returns for biorefineries, 4/9/2014

Video


2 mentions

Biofuel 
A recent report says the U.S. could produce a billion tons of biofuel materials each year, without impacting food supplies. We are working on ways to produce biomass and alternative fuels.


 

Recent Publications

Assessing site locations for biorefineries using Bayesian methods.  Young, T. M., X. Huang, J. H. Purdue, and F. M. Guess.  2016.  11th Annual International Symposium on Environment, 23-26 May 2016, Athens, Greece.

Optimization of Cost and Greenhouse Gas Emissions of a Dedicated Energy Crop Supply System to Biorefineries in Tennessee English, B. C., Z. Wang, T. E. Yu, and J. A. Larson.  2013.  USAEE Dialogue. 21(3).

Optimizing the Cost and Greenhouse Gas Emissions of Switchgrass Supply System to Biorefineries: A Case Study of Tennessee Wang, Z., T. E. Yu, J. A. Larson, and B. C. English.  2013.  Selected Poster published on-line at AgEcon Search, Agricultural and Applied Economic Association annual meeting, Washington, DC. August 4-6, 2013.

A Hybrid Model Integrating Classification Trees with Local Bayesian Logistic Regression to Assess Site locations for Biorefineries.  Huang, X., T. M. Young, J. H. Perdue, and F. M. Guess.  2012.  Association of American Geographers Annual Meeting., New York, NY.

A hybrid model integrating classification trees with local Bayesian logistic regression to assess site locations for biorefineries.  Huang, X., T. M. Young, J. H. Perdue, and F. M. Guess.  2012.  66th Forest Products Society International Meeting, June 5. Washington D.C.

A spatial geographic and socioeconomic index for identifying opportunity zones for biorefineries.  Young, T. M., J. H. Perdue, and X. Huang.  2012.  66th Forest Products Society International Meeting, June 5. Washington D.C.

A hybrid model integrating classification trees with local Bayesian logistic regression to assess site locations for biorefineries.  Huang, X., T. M. Young, R. L. Zaretzki, J. H. Perdue, and F. M. Guess.  2011.  65th Forest Products Society International Meeting, June 19-21. Portland, OR.

Optimal Draw Area and Feedstock Delivery Schedule of Biorefineries in the Southeast U.S. Based on Least Cost and Producersí Willingness to Plant a Dedicated Energy Crop.  Tu, Wen  2011.  Dissertation.

Bayesian logistic regression models for siting biomass-using facilities.  Huang, X  2010.  M.S. Thesis. The University of Tennessee. Knoxville. 149p.

Assessing site locations for biorefineries using Bayesian logistic regression.  Huang, X., T. M. Young, J. H. Perdue, and A. Hartsell.  2010.  USFS FIA User Group Meeting, Oct. 5-7. Knoxville, TN.

Case Study: Growing switchgrass on a large scale to supply biorefineries .  Rials, T. G., and K. Tiller.  2008.  Next Generation Biofuels Markets Conference, Amsterdam, The Netherlands, October 4-8. (Invited).

Optimal siting for biorefineries using the Biomass Siting Analysis Tool (BioSAT).  Young, T. M., J.H. Perdue, A. Hartsell, D. G. Hodges, and T. G. Rials.  2008.  Forest Inventory and Analysis Symposium, Park City, UT. Oct. 21-23.