{"id":12,"date":"2016-09-09T16:13:38","date_gmt":"2016-09-09T16:13:38","guid":{"rendered":"https:\/\/faculty.cnr.ncsu.edu\/yuanyao\/?page_id=12"},"modified":"2023-11-07T17:18:00","modified_gmt":"2023-11-07T17:18:00","slug":"publications","status":"publish","type":"page","link":"https:\/\/faculty.cnr.ncsu.edu\/yuanyao\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n\n\n\n\n

Johnson, S., Echeverria, D., Venditti, R., Jameel, H. and Y. Yao* (2020). Supply Chain of Waste Cotton Recycling and Reuse: A Review. AATCC Journal of Research-Textile Science<\/a>. AATCC Journal of Research 7(1):19-31.<\/p>\n\n\n\n

Liao, M., Kelley, SS. and Y. Yao* (2019). Generating Energy and Greenhouse Gas Inventory Data of Activated Carbon Production Using Machine Learning and Kinetic Based Process Simulation<\/a>. ACS Sustainable Chemistry & Engineering.<\/p>\n\n\n\n

Lan, K. Park, S. and Y. Yao* (2019). Biofuels for a More Sustainable Future: Life Cycle Sustainability Assessment, Multi-Criteria Decision Making, and Supply Chain Design, Chapter 10, Challenges and Status Quo of Models for Biofuel Supply Chain Design<\/a>. Elsevier.<\/p>\n\n\n\n

Lan, K., Ou, L., Park, S., Kelley, SS. and Y. Yao* (2019). Life Cycle Assessment of Decentralized Preprocessing Systems for Fast Pyrolysis Biorefineries with Blended Feedstocks in the Southeastern United States<\/a>. Energy Technology.<\/p>\n\n\n\n

Lan, K. and Y. Yao* (2019). Integrating Life Cycle Assessment and Agent-Based Modeling: A Dynamic Modeling Framework for Sustainable Agricultural Systems<\/a>. Journal of Cleaner Production, Volume 238, 117853.<\/p>\n\n\n\n

Nabinger, A., Tomberlin, K., Venditti, R., and Y. Yao* (2019). Using a Data-Driven Approach to Unveil Greenhouse Gas Emission Intensities of Different Pulp and Paper Products<\/a>, Procedia CIRP, 80, Pages 689-692.<\/p>\n\n\n\n

Yao, Y*. and Huang, R (2019). A Parametric Life Cycle Modeling Framework for Identifying Research Development Priorities of Emerging Technologies: A Case Study of Additive Manufacturing<\/a>, Procedia CIRP, 80, 370-375.<\/p>\n\n\n\n

Liao, M., Kelley, SS, and Y. Yao* (2019). “Artificial neural network based modeling for the prediction of yield and surface area of activated carbon from biomass<\/a>“. Biofuels, Bioproducts and Biorefining.<\/p>\n\n\n\n

Yao, Y.*, Marano, J., Morrow III, W. R., and E. Masanet (2018). “Quantifying carbon capture potential and cost of carbon capture technology application in the U.S. refining industry”. <\/a>International Journal of Greenhouse Gas Control, Volume 74, 87-98.<\/p>\n\n\n\n

Yao, Y.*, Chang, Y., Huang, R., Zhang, L., and E. Masanet (2018). “Environmental implications of the methanol economy in China: well-to-wheel comparison of energy and environmental emissions for different methanol fuel production pathways”.<\/a> In Journal of Cleaner Production, Volume 172, Pages 1381-1390.<\/p>\n\n\n\n

Yao, Y.* and E. Masanet, Life-cycle modeling framework for generating energy and greenhouse gas emissions inventory of emerging technologies in the chemical industry<\/a>, In Journal of Cleaner Production, Volume 172, 2018, Pages 768-777.<\/p>\n\n\n\n

Yao, Y.*, Graziano, D., Riddle, M., Cresko, J., and E. Masanet (2016). \u201cProspective Life Cycle Assessment of Emerging Technology Options for U.S. Ethylene Industry<\/a>.\u201d Industrial and Engineering Chemistry Research<\/em>. 55 (12), pp 3493\u20133505<\/p>\n\n\n\n

Yao, Y., Graziano, D., Riddle, M., Cresko, J., and E. Masanet (2015). \u201cUnderstanding Variability to Reduce the Energy and GHG Footprints of U.S. Ethylene Production<\/a>.\u201d Environmental Science and Technology<\/em>, 49, 14704.<\/p>\n\n\n\n

Chang, Y., Li, G., Yao, Y, Zhang, L., and C. Yu (2016). \u201cQuantifying the Water-Energy-Food Nexus: Current Status and Trends<\/a>.\u201d Energies<\/em>, 2016, 9(2), 65<\/p>\n\n\n\n

Yao, Y., Graziano, D., Riddle, M., Cresko, J., and E. Masanet (2014). \u201cGreener Pathways to Energy-Intensive Commodity Chemicals: Opportunities and Challenges<\/a>.\u201d Current Opinion in Chemical Engineering<\/em>, 6:90-98<\/p>\n\n\n\n

Yao, Y*, Chang, Y., and E. Masanet (2014). \u201cA Hybrid Life-Cycle Inventory for Multi-crystalline Silicon PV Module Manufacturing in China<\/a>.\u201d Environmental Research Letters<\/em>. 9:114001<\/p>\n\n\n\n

Masanet, E., Chang, Y., Yao, Y., Briam, R., and R. Huang (2014). \u201cReflections on a Massive Open Online LCA Course<\/a>.\u201d International Journal of Life Cycle Assessment<\/em>. 19(12): 1901-1907<\/p>\n\n\n\n

Gebreslassie, B.H., Yao, Y.<\/strong>, and F. You (2012). \u201cDesign Under Uncertainty of Hydrocarbon Biorefinery Supply Chains: Multiobjective Stochastic Programming Models, Decomposition Algorithm, and a Comparison Between CVaR and Downside Risk<\/a>.\u201d AIChE Journal<\/em>, 58: 2155-2179, 2012<\/p>\n","protected":false},"excerpt":{"rendered":"

Johnson, S., Echeverria, D., Venditti, R., Jameel, H. and Y. Yao* (2020). Supply Chain of Waste Cotton Recycling and Reuse: A Review. AATCC Journal of Research-Textile Science. AATCC Journal of Research 7(1):19-31. Liao, M., Kelley, SS. and Y. Yao* (2019). Generating Energy and Greenhouse Gas Inventory Data of Activated Carbon Production Using Machine Learning and…<\/p>\n","protected":false},"author":14,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"ncst_dynamicHeaderBlockName":"ncst\/default-header","ncst_dynamicHeaderData":"{}","ncst_content_audit_freq":"","ncst_content_audit_date":"","ncst_content_audit_display":false,"ncst_backToTopFlag":"","footnotes":""},"class_list":["post-12","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.cnr.ncsu.edu\/yuanyao\/wp-json\/wp\/v2\/pages\/12","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.cnr.ncsu.edu\/yuanyao\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.cnr.ncsu.edu\/yuanyao\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.cnr.ncsu.edu\/yuanyao\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.cnr.ncsu.edu\/yuanyao\/wp-json\/wp\/v2\/comments?post=12"}],"version-history":[{"count":9,"href":"https:\/\/faculty.cnr.ncsu.edu\/yuanyao\/wp-json\/wp\/v2\/pages\/12\/revisions"}],"predecessor-version":[{"id":825,"href":"https:\/\/faculty.cnr.ncsu.edu\/yuanyao\/wp-json\/wp\/v2\/pages\/12\/revisions\/825"}],"wp:attachment":[{"href":"https:\/\/faculty.cnr.ncsu.edu\/yuanyao\/wp-json\/wp\/v2\/media?parent=12"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}