Systematic Strategy for Modeling and Optimization of Thermal Systems With Design Uncertainties

Jaluria, Yogesh; Gea, Hae Chang; Lin, Po Ting

doi:10.5098/hmt.v1.1.3003

Cited by 13 publications

(7 citation statements)

References 77 publications

(103 reference statements)

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“…The design process then employs these distributions to obtain an acceptable design, with a range of variation in the parameters needed to meet the uncertainty level. This approach has been applied to a CVD reactor and to microchannel flows (Lin et al, 2010;Zhang et al, 2014). However, much more detailed effort is needed on this aspect to obtain realistic and useful designs of thermal systems.…”

Section: Transient Effectsmentioning

confidence: 99%

Thermal Management of Data Centers Under Steady and Transient Conditions

Jaluria¹,

Sunder²,

Benner³

2020

Frontiers in Heat and Mass Transfer

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Data centers are of crucial importance today in the storage and retrieval of large amounts of data. Most organizations and firms, ranging from banks and online retailers to government departments and internet companies, use data centers to store information that can be recovered efficiently and rapidly. As the deployment of data centers has increased, along with their capacity for data storage, the demands on thermal management have also increased. It is necessary to remove the energy dissipated by the electronic circuitry since the temperature of the components must not rise beyond acceptable levels that could damage them or affect their performance. The energy required for the cooling of data centers is generally quite substantial, with typical data centers requiring hundreds for megawatts for heat removal. Therefore, it is important to develop efficient thermal management systems to reduce power consumption and minimize the environmental impact. Extensive work has been done in recent years on the cooling of data centers. Though most studies have focused on steady state processes, time-dependent behavior is also of considerable interest because the thermal load is generally not constant but varies with time. Fluctuations in the load may arise or the load may peak at certain times. Efficient time-dependent distribution of load between various data centers, if several data centers are available to a given organization, or between different servers of a given data center may be used to improve the efficiency of the heat removal process and thus reduce the overall power consumption. Since environmental conditions vary from location to location, appropriate data centers may be selected, from those available, in order to use the most favorable location to reduce the overall cooling load. These aspects demand a study of both the steady and time-dependent behavior of data centers. The results obtained may be used to optimize the thermal management system and reduce the overall energy consumption. This paper reviews some of the relevant work done on data center cooling, with particular attention given to load distribution and to the data center location that determines the local environmental conditions. These results could form the basis for optimizing the cooling strategy for a system of data centers.

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Section: Transient Effectsmentioning

confidence: 99%

Thermal Management of Data Centers Under Steady and Transient Conditions

Jaluria¹,

Sunder²,

Benner³

2020

Frontiers in Heat and Mass Transfer

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“…The optimal point moves away from that obtained from a deterministic model with fixed operating conditions. This is an important consideration in obtaining realistic and practical results [20].…”

Section: Chemical Vapor Depositionmentioning

confidence: 99%

Optimization of Thermal Systems to Reduce Energy Consumption and Environmental Effect

Jaluria¹

2019

TI-IJES

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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.

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“…In such complex processes, uncertainties arise in the design parameters and operating conditions. These are important and must be included to obtain the final, realistic, optimal design [13].…”

Section: Optimizationmentioning

confidence: 99%

Simulation of Thermal Transport Processes to Reduce Environmental Impact and Improve Output

Jaluria

2017

Int. J. CMEM

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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.

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Systematic Strategy for Modeling and Optimization of Thermal Systems With Design Uncertainties

Cited by 13 publications

References 77 publications

Thermal Management of Data Centers Under Steady and Transient Conditions

Thermal Management of Data Centers Under Steady and Transient Conditions

Optimization of Thermal Systems to Reduce Energy Consumption and Environmental Effect

Simulation of Thermal Transport Processes to Reduce Environmental Impact and Improve Output

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