Optimization of Thermal Systems to Reduce Energy Consumption and Environmental Effect

Optimization of Thermal Systems to Reduce Energy Consumption and Environmental Effect

Yogesh Jaluria 

Board of Governors Professor and Distinguished Professor, Mechanical and Aerospace Engineering Department, Rutgers University, Piscataway, New Jersey, USA

Corresponding Author Email: 
20 January 2019
| |
18 March 2019
| | Citation



Thermal systems, which are based on heat and mass transfer, fluid flow and thermodynamics, arise in a wide variety of applications. It has become critical to optimize thermal processes in order to reduce energy consumption and the environmental effect, while increasing the productivity and product quality. This paper discusses the optimization of thermal systems in order to achieve the best output with respect to energy and the environment. Systems from several important application areas, such as manufacturing, thermal management of electronics, and heat rejection are considered. These systems are generally quite complex due to variable material properties, uncertainties, combined transport mechanisms, complex domains and boundary conditions, and multiscale phenomena. Therefore, the modelling and simulation of these systems is quite involved and considerable care is needed to obtain accurate results. Simulation results, along with experimental data, are used for prediction of the behaviour of systems, as well as their design and optimization. The paper focuses on the reduction in energy and material consumption and the environmental effect. However, it is also important to enhance the output and improve the quality of the product obtained. The important aspects that must be considered and the approaches that may be adopted are discussed in detail. In most practical situations, several objectives are of interest and multi-objective design optimization is necessary. Results for a few important systems are presented in order to illustrate the basic approach.


energy, environment, modelling, optimization, simulation, thermal systems

1. Introduction
2. Modelling and Simulation
3. Design and Optimization
4. Typical Results and Discussion
5. Concluding Remarks

[1]    Jaluria Y. (2008). Design and optimization of thermal systems. Second Edition. CRC Press, Boca Raton, Florida.

[2]    Bejan A, Tsatsaronis G, Moran M. (1996). Thermal Design and Optimization. John Wiley & Sons, New York. 

[3]    Deb K. (2002). Multi-objective optimization using evolutionary algorithms. John Wiley & Sons, New York NY.

[4]    Jaluria Y. (2003). Thermal processing of materials: From basic research to engineering. J. Heat Transfer 125: 957-979. http://dx.doi.org/10.1115/1.1621889

[5]    Mahajan RL. (1996). Transport phenomena in chemical vapor deposition systems. Advances in Heat Transfer 28: 339-425. http://dx.doi.org/10.1016/S0065-2717(08)70143-6

[6]    Jaluria Y. (2018) Advanced materials processing and manufacturing. Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-319-76983-7

[7]    Jaluria Y, Torrance KE. (2003). Computational heat transfer. Second Edition. Taylor & Francis Pub. Co., New York.

[8]    Minkowycz WJ, Sparrow EM, Murthy J. (Eds). (2006). Handbook of numerical heat transfer. John Wiley & Sons, New York.

[9]    Roache PJ. (1998). Verification and validation in computational science and engineering. Hermosa Publishers, Albuquerque, New Mexico.

[10]    Icoz T, Jaluria Y. (2004). Design of cooling systems for electronic equipment using both experimental and numerical inputs. J. Elect. Pkg. 126: 465-471. http://dx.doi.org/10.1115/1.1827262

[11]    Zhao H, Icoz T, Jaluria Y, Knight D. (2007). Application of data driven design optimi¬zation methodology to a multi-objective design optimization problem. J. Eng. Design 18: 343-359. http://dx.doi.org/10.1080/09544820601010981

[12]    Joshi Y, Kumar P. (Eds). (2012). Energy efficient thermal management of data centers. Springer, New York. http://dx.doi.org/10.1007/978-1-4419-7124-1

[13]    Le K, Zhang J, Meng J, Bianchini R, Jaluria Y, Nguyen TD. (2011). Reducing electricity cost through virtual machine placement in high performance computing clouds, SC11 (Int. Conf. High Perf. Comput., Networking, Storage & Anal.) Conference, Seattle, WA, USA.

[14]    Zhang J, Jaluria Y. (2017). Steady and transient behavior of data centers with variations in thermal load and environmental conditions. Int. J. Heat Mass Transfer, 108: 374-385. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2016.12.028

[15]    Paek UC. (1999). Free drawing and polymer coating of silica glass optical fibers. Journal of Heat transfer 121: 774-788. http://dx.doi.org/10.1115/1.2826066

[16]    Roy Choudhury S, Jaluria Y, Lee SHK. (1999). A computational method for generating the free-surface neck-down profile for glass flow in optical fiber drawing. Numerical Heat Transfer 35: 1-24.

[17]    Cheng X, Jaluria Y. (2005). Optimization of a thermal manufacturing process: Drawing of optical fiber. International Journal of Heat and Mass Transfer 48: 3560-3573. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2005.03.012

[18]    Jensen KF, Einset EO, Fotiadis DI. (1991). Flow phenomena in chemical vapor deposition of thin films. Ann. Rev. Fluid Mechanics 23: 197-232. http://dx.doi.org/10.1146/annurev.fl.23.010191.001213

[19]    Eversteyn FC, Severin PJW, Brekel CHJ, Peek HL. (1970). A stagnant layer model for the epitaxial growth of silicon from silane in a horizontal reactor. J. Electrochem. Soc. 117: 925-931. http://dx.doi.org/10.1149/1.2407685

[20]    Lin PT, Gea HC, Jaluria Y. (2010). Systematic strategy for modeling and optimization of thermal systems with design uncertainties. Frontiers in Heat Mass Transfer 1: 013003-1-20. http://dx.doi.org/10.5098/hmt.v1.1.3003

[21]    Moore FK, Jaluria (1972). Thermal effects of power plants on lakes. Journal of Heat Transfer 94: 163-168. http://dx.doi.org/10.1115/1.3449888

[22]    Kirillin G, Shatwell T, Kasprzak P. (2013). Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime. Journal of Hydrology 496: 47-56. http://dx.doi.org/10.1016/j.jhydrol.2013.05.023

[23]    Bharadwaj N. (2016). A numerical study of the local warming of New Brunswick, NJ, due to thermal effects on local water bodies. M.S. Thesis, Rutgers Univ., New Brunswick, NJ.