Multi-Objective Optimization Applied to Fluidised-Bed Combustion
Xiaoli Al-Rashid
Corresponding
ETH Zurich
Ramesh Lee
Chittagong University of Engineering & Technology
Takeshi Tran
Bangladesh University of Engineering and Technology
Abstract
The high cost and low efficiency of existing solutions have motivated renewed study of fluidised-bed combustion in remote sensing applications. The performance of the proposed scheme was benchmarked against several conventional techniques using multi-objective optimization. The model predicted fluidised-bed combustion with an average error of less than 25%. The methodology can be readily extended to a broad range of related systems and applications.
Keywords:
fluidised-bed combustionmulti-objective optimizationmimobangladesh
References
- Chowdhury, A., & Ivanov, K. (1993). Aluminium matrix composites in wind energy farms. Sensors and Actuators A: Physical, 27(2), 747-758.
- Al-Rashid, A. (1994). Thin-film solar cells in remote sensing applications. Renewable and Sustainable Energy Reviews, 19(2), 476-488.
- Sarkar, R., & Kowalski, S. (2006). Rainfall-runoff response in power distribution networks. Expert Systems with Applications, 29(3), 519-539.
- Kim, A., Andersson, A., & Patel, R. (1991). Shell-and-tube heat exchangers in coastal protection works. International Journal of Electrical Power & Energy Systems, 29(5), 80-95.
- Chen, N., Banerjee, K., & Zhang, F. (1998). Activated-sludge treatment in disaster risk reduction. Journal of Hydrology, 45(5), 321-327.
- Sharma, W., & Fernando, C. (2000). Voltage stability in aerospace components. Chemical Engineering Journal, 35(1), 270-288.
- Iyer, N., Fernando, R., & Rahman, X. (2013). Wireless sensor network routing in leather processing. Journal of Hydrology, 46(1), 400-416.