Emerging Technology

Accelerating the development of green technologies for chemical production through multiscale life-cycle technology assessment

Yao Y. Accelerating the development of green technologies for chemical production through multiscale life-cycle technology assessment. In: Education Division 2015 - Core Programming Area at the 2015 AIChE Annual Meeting. Education Division 2015 - Core Programming Area at the 2015 AIChE Annual Meeting. ; 2015. p. 205. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968732939&partnerID=40&md5=0437075a850c0c55d8fe7726923c5163

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

Life cycle energy, environmental and economic comparative analysis of cdte thin-film photovoltaics domestic and overseas manufacturing scenarios

Yao Y, You F. Life cycle energy, environmental and economic comparative analysis of cdte thin-film photovoltaics domestic and overseas manufacturing scenarios.; 2013 pp. 733 - 738. Available from: https://doi.org/10.1016/B978-0-444-63234-0.50123-8

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

Understanding Variability to Reduce the Energy and GHG Footprints of U.S. Ethylene Production

Yao Y, Graziano DJ, Riddle M, Cresko J, Masanet E. Understanding Variability to Reduce the Energy and GHG Footprints of U.S. Ethylene Production. Environmental Science and Technology [Internet]. 2015 ;49(24):14704 - 14716. Available from: https://doi.org/10.1021/acs.est.5b03851

A hybrid life-cycle inventory for multi-crystalline silicon PV module manufacturing in China

Yao Y, Chang Y, Masanet E. A hybrid life-cycle inventory for multi-crystalline silicon PV module manufacturing in China. Environmental Research Letters [Internet]. 2014 ;9(11). Available from: http://dx.doi.org/10.1088/1748-9326/9/11/114001

A parametric life cycle modeling framework for identifying research development priorities of emerging technologies: A case study of additive manufacturing

Yao Y, Huang R. A parametric life cycle modeling framework for identifying research development priorities of emerging technologies: A case study of additive manufacturing. In: Procedia CIRP. Vol. 80. Procedia CIRP. ; 2019. pp. 370 - 375. Available from: https://doi.org/10.1016/j.procir.2019.01.037

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

Quantifying carbon capture potential and cost of carbon capture technology application in the U.S. refining industry

Yao Y, Marano J, Morrow, III WR, Masanet E. Quantifying carbon capture potential and cost of carbon capture technology application in the U.S. refining industry. International Journal of Greenhouse Gas Control [Internet]. 2018 ;74:87 - 98. Available from: https://doi.org/10.1016/j.ijggc.2018.04.020

Life-cycle modeling framework for generating energy and greenhouse gas emissions inventory of emerging technologies in the chemical industry

Yao Y, Masanet E. Life-cycle modeling framework for generating energy and greenhouse gas emissions inventory of emerging technologies in the chemical industry. Journal of Cleaner Production [Internet]. 2018 ;172:768 - 777. Available from: https://doi.org/10.1016/j.jclepro.2017.10.125