OPEN ACCESS
This paper focuses on thermal transport processes and systems and discusses their modeling, simulation, design and optimization to reduce the effect on the environment, reduce energy consumption and enhance product quality and productivity. These processes are generally quite complex and several challenges are encountered to obtain accurate and reliable results that can be used as the basis for design and optimization. Some major challenges are material properties, model validation, uncertainties in the governing parameters and operating conditions, complex combined transport mechanisms, and multiscale effects. Once accurate simulation results are obtained, these can be used to optimize the process to enhance the output. Reduction in energy and material consumption, as well as the effect on the environment, are of particular concern today. The paper discusses these aspects and presents a few practical systems by way of illustration. For example, working with the changing environment, the energy consumed by the thermal system for the cooling of data centers can be minimized. Similarly, other concerns and approaches are outlined.
environmental effects, optimization, simulation, thermal transport, thermal systems
[1] Jaluria, Y., Design and Optimization of Thermal Systems, 2 edn., CRC Press: Boca Raton, FL, 2008.
[2] Bejan, A., Tsatsaronis, G. & Moran, M., Thermal Design and Optimization, John Wiley & Sons: New York, 1996.
[3] Deb, K., Multi-Objective Optimization Using Evolutionary Algorithms, John Wiley & Sons: New York NY, 2002.
[4] Jaluria, Y., Thermal processing of materials: From basic research to engineering. ASME Journal of Heat Transfer, 125(6), pp. 957–979, 2003. http://dx.doi.org/10.1115/1.1621889
[5] Mahajan, R.L., Transport phenomena in chemical vapor deposition systems. Advances in Heat Transfer, 28, pp. 339–425, 1996. http://dx.doi.org/10.1016/S0065-2717(08)70143-6
[6] Minkowycz, W.J., Sparrow, E.M. & Murthy, J. (eds), Handbook of Numerical Heat Transfer, John Wiley & Sons: New York, 2006.
[7] Icoz, T. & Jaluria, Y., Design of cooling systems for electronic equipment using both experimental and numerical inputs. ASME Journal of Electronic. Packaging, 126(4), pp. 465–471, 2004. http://dx.doi.org/10.1115/1.1827262
[8] Paek, U.C., Free drawing and polymer coating of silica glass optical fibers. Journal of Heat Transfer, 121(4), pp. 774–788, 1999. http://dx.doi.org/10.1115/1.2826066
[9] Eversteyn, F.C, Severin, P.J.W., Brekel, C.H.J. & Peek, H.L., A stagnant layer model for the epitaxial growth of silicon from silane in a horizontal reactor. Journal of Electrochemical Society, 117(7), pp. 925–931, 1970. http://dx.doi.org/10.1149/1.2407685
[10] Roache, P.J., Verification and Validation in Computational Science and Engineering, Hermosa Publishers: Albuquerque, New Mexico, 1998.
[11] Zhao, H., Icoz, T., Jaluria, Y. & Knight, D., Application of data driven design optimization methodology to a multi-objective design optimization problem. Journal of Engineering Design, 18(4), pp. 343–359, 2007. http://dx.doi.org/10.1080/09544820601010981
[12] Cheng, X. & Jaluria, Y., Optimization of a thermal manufacturing process: drawing of optical fiber. International Journal of Heat and Mass Transfer, 48(17), pp. 3560–3573, 2005. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2005.03.012
[13] Lin, P.T., Gea, H.C. & Jaluria, Y., Systematic strategy for modeling and optimization of thermal systems with design uncertainties. Frontiers in Heat Mass Transfer, 1(1), p. 013003, 2010. http://dx.doi.org/10.5098/hmt.v1.1.3003
[14] Moore, F.K. & Jaluria, Y., Thermal effects of power plants on lakes. Journal of Heat Transfer, 94(2), pp. 163–168, 1972. http://dx.doi.org/10.1115/1.3449888
[15] Kirillin, G., Shatwell, T. & Kasprzak, P., Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime. Journal of Hydrology, 496, pp. 47–56, 2013. http://dx.doi.org/10.1016/j.jhydrol.2013.05.023
[16] Joshi, Y. & Kumar, P. (eds), Energy Efficient Thermal Management of Data Centers, Springer: New York, 2012. http://dx.doi.org/10.1007/978-1-4419-7124-1
[17] Le, K., Zhang, J., Meng, J., Bianchini, R., Jaluria, Y. & Nguyen, T.D., Reducing electricity cost through virtual machine placement in high performance computing clouds, SC11. Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis. ACM) Conference, Seattle, WA, USA, 2011.