References
- Caputo AC, Cardarelli G, Pelagagge PM. Analysis of heat recovery in gas-solid moving beds using a simulation approach. Appl Therm Eng. 1996;16:89–99. doi:10.1016/1359-4311(95)00008-2.
- Feng H, Chen L, Liu X, et al. Constructal optimization of a sinter cooling process based on exergy output maximization. Appl Therm Eng. 2016;96:161–166. doi:10.1016/j.applthermaleng.2015.11.089.
- Tian W, Ni B, Jiang C, et al. Uncertainty analysis and optimization of sinter cooling process for waste heat recovery. Appl Therm Eng. 2019;150:111–120. doi:10.1016/j.applthermaleng.2018.12.162.
- Nguyen TQ, Slawnwhite JD, Boulama KG. Power generation from residual industrial heat. Energy Convers Manag. 2010;51:2220–2229. doi:10.1016/j.enconman.2010.03.016.
- Soroureddin A, Mehr AS, Mahmoudi SMS, et al. Thermodynamic analysis of employing ejector and organic Rankine cycles for GT-MHR waste heat utilization : A comparative study. Energy Convers Manag. 2013;67:125–137. doi:10.1016/j.enconman.2012.11.015.
- Miró L, Brückner S, Cabeza LF. Mapping and discussing industrial waste heat (IWH) potentials for different countries. Renew Sustain Energy Rev. 2015;51:847–855. doi:10.1016/j.rser.2015.06.035.
- Feng JS, Dong H, Gao JY, et al. Theoretical and experimental investigation on vertical tank technology for sinter waste heat recovery. J Cent South Univ. 2017;24:2281–2287. doi:10.1007/s11771-017-3639- x doi: 10.1007/s11771-017-3639-x
- Chen W, Yin X, Ma D. A bottom-up analysis of China’s iron and steel industrial energy consumption and CO2 emissions. Appl Energy. 2014;136:1174–1183. doi:10.1016/j.apenergy.2014.06.002.
- Chen L, Yang B, Shen X, et al. Thermodynamic optimization opportunities for the recovery and utilization of residual energy and heat in China’s iron and steel industry: A case study. Appl Therm Eng. 2015;86:151–160. doi:10.1016/j.applthermaleng.2015.04.026.
- Wang YZ, Zhang JL, Liu ZJ, et al. Recent Advances and Research Status in energy conservation of iron Ore sintering in China. Jom. 2017;69:2404–2411. doi:10.1007/s11837-017-2587-0.
- Chen L, Feng H, Xie Z. Generalized thermodynamic optimization for iron and steel production processes: Theoretical exploration and application cases. Entropy . 2016;18; doi:10.3390/e18100353.
- Liu Y, Yang J, Wang J, et al. Energy and exergy analysis for waste heat cascade utilization in sinter cooling bed. Energy. 2014;67:370–380. doi:10.1016/j.energy.2013.11.086.
- Zhang S, Zhao L, Feng J, et al. Parameter optimization of gas–solid heat transfer process in sinter packed bed based on further exergy analysis. Chem Eng Res Des. 2019;146:499–508. doi:10.1016/j.cherd.2019.04.026.
- Zhang X, Chen Z, Zhang J, et al. Simulation and optimization of waste heat recovery in sinter cooling process. Appl Therm Eng. 2013;54:7–15. doi:10.1016/j.applthermaleng.2013.01.017.
- Liu Y, Yang J, Wang JY, et al. Prediction, parametric analysis and bi-objective optimization of waste heat utilization in sinter cooling bed using evolutionary algorithm. Energy. 2015;90:24–35. doi:10.1016/j.energy.2015.05.120.
- Tian FY, Huang LF, Fan LW, et al. Pressure drop in a packed bed with sintered ore particles as applied to sinter coolers with a novel vertically arranged design for waste heat recovery. J Zhejiang Univ Sci A. 2016;17:89–100. doi:10.1631/jzus.A1500088.
- Liang X, Liu XJ, Xia D. Lagrangian simulation and exergy analysis for waste heat recovery from high-temperature particles using countercurrent moving beds. Appl Therm Eng. 2019;160:114115, doi:10.1016/j.applthermaleng.2019.114115.
- Dong H, Li L, Cai JJ, et al. Numerical simulation of heat exchange in vertical tank of waste heat recovery. Dongbei Daxue Xuebao/Journal Northeast Univ. 2012;33:1299–1302.
- Feng J, Dong H, Gao J, et al. Numerical investigation of gas-solid heat transfer process in vertical tank for sinter waste heat recovery. Appl Therm Eng. 2016;107:135–143. doi:10.1016/j.applthermaleng.2016.06.175.
- Zhang S, Zhao L, Feng J, et al. Thermal analysis of sinter vertical cooler based on waste heat recovery. Appl Therm Eng. 2019;157:113708, doi:10.1016/j.applthermaleng.2019.04.118.
- Pan L, Wei X, Peng Y, et al. Theoretical study on the cooling procedure for vertical flow sinters. Appl Therm Eng. 2017;127:592–601. doi:10.1016/j.applthermaleng.2017.08.064.
- Zheng Y, Dong H, Cai J, et al. Experimental investigation of volumetric heat transfer coefficient in vertical moving-bed for sinter waste heat recovery. Appl Therm Eng. 2019;151:335–343. doi:10.1016/j.applthermaleng.2019.01.055.
- Xu C, Liu Z, Wang S, et al. Numerical simulation and optimization of waste heat recovery in a sinter vertical tank +. Energies. 2019;12; doi:10.3390/en12030385.
- Niven RK. Physical insight into the Ergun and Wen and Yu equations for fluid flow in packed and fluidised beds. Chem Eng Sci. 2002;57:527–534. doi:10.1016/S0009-2509(01)00371-2.
- Tian FY, Huang LF, Fan LW, et al. Wall effects on the pressure drop in packed beds of irregularly shaped sintered ore particles. Powder Technol. 2016;301:1284–1293. doi:10.1016/j.powtec.2016.07.073.
- Hwang KS, Jun JH, Lee WK. Fixed-bed adsorption for bulk component system. Non-equilibrium, non-isothermal and non-adiabatic model. Chem Eng Sci. 1995;50:813–825. doi:10.1016/0009-2509(94)00433-R.
- Wakao N, Kaguei S, Funazkri T. Effect of fluid dispersion coefficients on particle-to-fluid heat transfer coefficients in packed beds: correlation of Nusselt numbers. Chem Eng Sci. 1979;34:325–336. doi:10.1016/0009-2509(79)85064-2.
- Wen Z, Shi HZ, Zhang X, et al. Numerical simulation and parameters optimization on gas-solid heat transfer process of high temperature sinter. Ironmak Steelmak. 2011;38:525–529. doi:10.1179/1743281211Y.0000000040.
- Stein M. Large sample properties of simulations using latin hypercube sampling. Technometrics. 1987;29:143–151. doi:10.1080/00401706.1987.10488205.
- Wang GG, Shan S. Review of metamodeling techniques in support of engineering design optimization. J Mech Des Trans ASME. 2007;129:370–380. doi:10.1115/1.2429697.
- Li B, Rui X. Vibration control of uncertain multiple launch rocket system using radial basis function neural network. Mech Syst Signal Process. 2018;98:702–721. doi:10.1016/j.ymssp.2017.05.036.
- Zou W, Zhu Y, Chen H, et al. Solving multiobjective optimization problems using artificial bee colony algorithm. Discret Dyn Nat Soc. 2011;2011:1–37. doi:10.1155/2011/569784.
- Deb K, Member A, Pratap A, et al. Meyarivan TJItoec. A Fast and Elitist Multiobjective Genetic Algorithm. 2002;6:182–197. doi:10.1109/4235.996017.
- Yang C, Gao W, Liu N, et al. Low-discrepancy sequence initialized particle swarm optimization algorithm with high-order nonlinear time-varying inertia weight. Appl Soft Comput J. 2015;29:386–394. doi:10.1016/j.asoc.2015.01.004.
- Tian W, Jiang C, Ni B, et al. Global sensitivity analysis and multi-objective optimization design of temperature field of sinter cooler based on energy value. Appl Therm Eng. 2018;143:759–766. doi:10.1016/j.applthermaleng.2018.08.006.