Biomass & Bioenergy

Design under uncertainty of hydrocarbon biorefinery supply chains: Multiobjective stochastic programming models, decomposition algorithm, and a Comparison between CVaR and downside risk

Gebreslassie BH, Yao Y, You F. Design under uncertainty of hydrocarbon biorefinery supply chains: Multiobjective stochastic programming models, decomposition algorithm, and a Comparison between CVaR and downside risk. AIChE Journal [Internet]. 2012 ;58(7):2155 - 2179. Available from: https://doi.org/10.1002/aic.13844

Multiobjective optimization of hydrocarbon biorefinery supply chain designs under uncertainty

Gebreslassie BH, Yao Y, You F. Multiobjective optimization of hydrocarbon biorefinery supply chain designs under uncertainty. In: Proceedings of the IEEE Conference on Decision and Control. Proceedings of the IEEE Conference on Decision and Control. ; 2012. pp. 5560 - 5565. Available from: https://ieeexplore.ieee.org/document/6426661

Greener pathways for energy-intensive commodity chemicals: Opportunities and challenges

Yao Y, Graziano D, Riddle M, Cresko J, Masanet E. Greener pathways for energy-intensive commodity chemicals: Opportunities and challenges. Current Opinion in Chemical Engineering [Internet]. 2014 ;6:90 - 98. Available from: https://doi.org/10.1016/j.coche.2014.10.005

Key issue, challenges, and status quo of models for biofuel supply chain design

Lan K, Park S, Yao Y. Key issue, challenges, and status quo of models for biofuel supply chain design. In: Biofuels for a More Sustainable Future: Life Cycle Sustainability Assessment and Multi-Criteria Decision Making. Biofuels for a More Sustainable Future: Life Cycle Sustainability Assessment and Multi-Criteria Decision Making. ; 2019. pp. 273 - 315. Available from: https://doi.org/10.1016/B978-0-12-815581-3.00010-5

Integrating Life Cycle Assessment and Agent-Based Modeling: A Dynamic Modeling Framework for Sustainable Agricultural Systems

Lan K, Yao Y. Integrating Life Cycle Assessment and Agent-Based Modeling: A Dynamic Modeling Framework for Sustainable Agricultural Systems. Journal of Cleaner Production [Internet]. 2019 ;238. Available from: https://doi.org/10.1016/j.jclepro.2019.117853

Artificial neural network based modeling for the prediction of yield and surface area of activated carbon from biomass

Liao M, Kelley SS, Yao Y. Artificial neural network based modeling for the prediction of yield and surface area of activated carbon from biomass. Biofuels, Bioproducts and Biorefining [Internet]. 2019 ;13(4):1015 - 1027. Available from: https://doi.org/10.1002/bbb.1991

Life Cycle Analysis of Decentralized Preprocessing Systems for Fast Pyrolysis Biorefineries with Blended Feedstocks in the Southeastern United States

Lan K, Ou L, Park S, Kelley SS, Yao Y. Life Cycle Analysis of Decentralized Preprocessing Systems for Fast Pyrolysis Biorefineries with Blended Feedstocks in the Southeastern United States. Energy Technology [Internet]. 2019 . Available from: https://doi.org/10.1002/ente.201900850

Life Cycle Carbon Footprint Analysis of Pulp and Paper Grades in the United States Using Production-Line-Based Data and Integration

Tomberlin KE, Venditti R, Yao Y. Life Cycle Carbon Footprint Analysis of Pulp and Paper Grades in the United States Using Production-Line-Based Data and Integration. BioResources [Internet]. 2020 ;15(2):3899 - 3914. Available from: https://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_15_2_3899_Tomberlin_Life_Cycle_Carbon_Footprint