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

Author:

Buyukada Musa

Funder

YENIGIDAM Research Center

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Renewable Energy, Sustainability and the Environment,General Medicine,Environmental Engineering,Bioengineering

Reference33 articles.

1. Quasi-oppositional group search optimization for hydrothermal power system;Basu;Int. J. Electr. Power Energy Syst.,2016

2. Scrutinizing the causality relationship between prices, production and consumption of fossil fuels: a panel data approach;Biresellioglu;Energy,2016

3. Co-combustion of peanut hull and coal blends: artificial neural networks modeling, particle swarm optimization and Monte Carlo Simulation;Buyukada;Bioresour. Technol.,2016

4. Modeling efficiency of dehydrated sunflower seed cake as a novel biosorbent to remove a toxic azo dye;Buyukada;Chem. Eng. Commun.,2016

5. Thermogravimetric analysis of the cocombustion of eucalyptus residues and paper mill sludge;Cai;Appl. Therm. Eng. Fuel,2016

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