Fuzzy logic approach in the analysis of heat transfer in a porous sorbent bed of the adsorption chiller
Karolina Grabowska
Jarosław Krzywański
Karol Sztekler
Wojciech Kalawa
Wojciech Nowak
Abstrakt
Thermal conductivity in the boundary layer of heat exchange surface is the crucial parameter of adsorption process efficiency which occurs in the adsorption bed. In order to improve heat transfer conditions in the adsorption chiller, novel constructions of adsorption beds are currently investigated. The porous structure of the sorbent layer causes low thermal conductivity in the adsorption bed. One of the methods to improve heat transfer conditions is a modification of porous media bed structure with glue which is characterized with higher thermal conductivity. The optimum parameters of sorbents and glues to build the novel coated construction, in terms of improving the chiller Coefficient of Performance (COP) were defined in (Grabowska et al. 2018a). The paper implements fuzzy logic approach for predicting thermal conductivity of modified porous media layers. The developed model allows determination of the sorbent layer thermal conductivity based on various input parameters: arithmetic average of particle distribution d, density ρ and thermal diffusivity k. The data from empirical research was used to build up the model by fuzzy logic methods.
Słowa kluczowe:
adsorption chiller, porous media, fuzzy logic, thermal conductivity, coated adsorption bedBibliografia
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Sosnowski, M., 2017, "Computational domain discretization in numerical analysis of flow within granular materials," International Conference on Experimental Fluid Mechanics 2017, P. Dančová, and N. J., eds.Mikulov, pp. 582-588.
Sobolewski, M., Grzesik, N., Koruba, Z., and Nowicki, M., 2016, "Fuzzy logic estimator implemented in observation-tracking device control," Aircraft Engineering and Aerospace Technology, 88(6), pp. 697-706.
Sztekler, K., Kalawa, W., Nowak, W., Stefański, S., Krzywanski, J., and Grabowska, K., "Using the adsorption chillers for utilisation of waste heat from rotary kilns," Proc. Experimental Fluid Mechanics 2017, N. J. Dančová Petra, ed., Technical University of Liberec, pp. 650-653.
Zhu, D.S., Wang, S.W., 2002 “Experimental investigation of contact resistance in adsorber of solar adsorption refrigeration” Solar Energy, 73 (3) pp. 177-185
Błaszczuk, A., Krzywański, J., 2017, A comparison of fuzzy logic and cluster renewal approaches for heat transfer modeling in a 1296 t/h CFB boiler with low level of flue gas recirculation, Archives of Thermodynamics, 38 (1), pp. 91-122.
Chorowski, M., and Pyrka, P., 2015, "Modelling and experimental investigation of an adsorption chiller using low-temperature heat from cogeneration," Energy, 92, pp. 221- 229.
Dragojlovicc, Z., Kaminski, D.A., Juntaek, R., 2001, Tuning of a fuzzy rule set for controlling convergence of a CFD solver in turbulent flow, International Journal of Heat and Mass Transfer, 44 (20), pp. 3811-3822.
Ferreira, L.M, Castro, J.A.M., Rodrigues, A.E., 2002, “An analytical and experimental study of heat transfer in fixed bed” International Journal of Heat and Mass Transfer, (45)5 pp: 951-961.
Fodemski T., Pomiary cieplne, część 1. Podstawowe pomiary cieplne. Wydawnictwo Naukowo Techniczne, Warszawa 2001
Freni, A., Russo, F., Vasta, S., Tokarev, M., Aristov, Y. I., and Restuccia, G., 2007, "An advanced solid sorption chiller using SWS-1Ll," Applied Thermal Engineering, 27(13), pp. 2200-2204.
Grabowska, K., Krzywanski, J., Nowak, W., and Wesołowska, M., 2018a, "Construction of an innovative adsorbent bed configuration in the adsorption chiller - Selection criteria for effective sorbent-glue pair.," Energy, 151, pp. 317-323.
Grabowska, K., Sosnowski, M., Krzywanski, J., Sztekler, K., Kalawa, W., Zylka, A., and Nowak, W., 2018b, "Analysis of heat transfer in a coated bed of an adsorption chiller," XI International Conference on Computational Heat, Mass and Momentum Transfer, Krakow, Poland.
He, T. T., Ukil, A., and Ieee, 2016, "Design of Fuzzy Logic based Controller for Energy Efficient Operation in Building," Proceedings of the Iecon 2016 - 42nd Annual Conference of the Ieee Industrial Electronics Society, pp. 90-95.
Kucukali, S., Baris, K., 2010, “Turkey's short-term gross annual electricity demand forecast by fuzzy logic approach”, Energy Policy, 38 (5), pp. 2438-2445.
Krzywanski, J., Grabowska, K., Sosnowski, M., Sztekler, K., Kalawa, W., Zylka, A., Wojcik, T., and Nowak, W., 2018a, "Modeling of re-heat two-stage adsorption chiller by AI approach," XI International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT) Krakow, Poland.
Krzywanski, J., Wesolowska, M., Blaszczuk, A., Majchrzak, A., Komorowski, M., Nowak, W., 2018b, Fuzzy logic and bed-to-wall heat transfer in a large-scale CFBC, International Journal of Numerical Methods for Heat & Fluid Flow, 28 (1), pp. 254-266.
Krzywanski, J., Grabowska, K., Herman, F., Pyrka, P., Sosnowski, M., Prauzner, T., and Nowak, W., 2017, "Optimization of a three-bed adsorption chiller by genetic algorithms and neural networks", Enery Conversion and Management, 153, pp. 313- 322.
Krzywanski, J., and Nowak, W., 2016a, "Modeling of bed-to-wall heat transfer coefficient in a large-scale CFBC by fuzzy logic approach," International Journal of Heat and Mass Transfer, 94, pp. 327-334.
Krzywanski, J., Wesolowska, M., Blaszczuk, A., Majchrzak, A., Komorowski, M., Nowak, W., 2016b, The Non-Iterative Estimation of Bed-to-Wall Heat Transfer Coefficient in a CFBC by Fuzzy Logic Methods, Procedia Engineering 157, pp. 66 – 71.
Rezk, A., Al-Dadah, R. K., Mahmoud, S., and Elsayed, A., 2013, "Effects of contact resistance and metal additives in finned-tube adsorbent beds on the performance of silica gel/water adsorption chiller," Applied Thermal Engineering, 53(2), pp. 278-284.
Rogala, Z., 2017, "Adsorption chiller using flat-tube adsorbers - Performance assessment and optimization," Applied Thermal Engineering, 121, pp. 431-442.
Rouhani, M., Huttema, W., Bahrami, M., 2018, Effective thermal conductivity of packed bed adsorbers: Part 1-Experimental study, International Journal of Heat and Mass Transfer, 123 pp. 1204-1211.
Sharafian, A., Fayazmanesh, K., McCague, C., and Bahrami, M., 2014, "Thermal conductivity and contact resistance of mesoporous silica gel adsorbents bound with polyvinylpyrrolidone in contact with a metallic substrate for adsorption cooling system applications," International Journal of Heat and Mass Transfer, 79, pp. 64-71.
Sosnowski, M., 2017, "Computational domain discretization in numerical analysis of flow within granular materials," International Conference on Experimental Fluid Mechanics 2017, P. Dančová, and N. J., eds.Mikulov, pp. 582-588.
Sobolewski, M., Grzesik, N., Koruba, Z., and Nowicki, M., 2016, "Fuzzy logic estimator implemented in observation-tracking device control," Aircraft Engineering and Aerospace Technology, 88(6), pp. 697-706.
Sztekler, K., Kalawa, W., Nowak, W., Stefański, S., Krzywanski, J., and Grabowska, K., "Using the adsorption chillers for utilisation of waste heat from rotary kilns," Proc. Experimental Fluid Mechanics 2017, N. J. Dančová Petra, ed., Technical University of Liberec, pp. 650-653.
Zhu, D.S., Wang, S.W., 2002 “Experimental investigation of contact resistance in adsorber of solar adsorption refrigeration” Solar Energy, 73 (3) pp. 177-185
Grabowska, K., Krzywański, J., Sztekler, K., Kalawa, W., & Nowak, W. (2018). Fuzzy logic approach in the analysis of heat transfer in a porous sorbent bed of the adsorption chiller. Technical Sciences, 21(4), 281–290. https://doi.org/10.31648/ts.4173
Karolina Grabowska
Jarosław Krzywański
Karol Sztekler
Wojciech Kalawa
Wojciech Nowak
