Probabilistic uncertainty analysis based on Monte Carlo simulations of co-combustion of hazelnut hull and coal blends: Data-driven modeling and response surface optimization

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• 作者：Musa Buyukada ^{musabuyukada@hotmail.com}
• 关键词：Hazelnut hull ; Co-combustion ; Multi non-linear regression ; Response surface optimization ; Monte Carlo simulations
• 刊名：Bioresource Technology
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：225
• 期：Complete
• 页码：106-112
• 全文大小：1174 K
• 卷排序：225

文摘

Thermogravimetric analysis of coal and hazelnut hull were investigated. The best-fit M(N)LR models were derived to predict mass loss percentage. Explanatory variables of co-combustion process were optimized by RSM. Monte Carlo probabilistic approach was used to identify the uncertainty in propesed MNLR model.