Prediction of the dynamic thermal behaviour of walls for refrigerated rooms using lumped and distributed parameter models

Flores, Silvia Estrada; Cleland, A. C.; Cleland, Donald J.

doi:10.1016/s0140-7007(00)00018-9

Cited by 14 publications

(6 citation statements)

References 2 publications

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“…There are some applications in the design of building elements for livestock housing and industries for processing agricultural products (Mohtar et al, 1995;Estrada-Flores et al, 2001;Idriss et al, 2001;Moazed et al, 2012;Shahbazian and Wang, 2013).…”

Section: Finite Element Methods In Buildings and Infrastructures Areasmentioning

confidence: 99%

Present and future of the numerical methods in buildings and infrastructures areas of biosystems engineering

Ayuga

2015

J Agricult Engineer

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Biosystem engineering is a discipline resulting from the evolution of the traditional agricultural engineering to include new engineering challenges related with biological systems, from the cell to the environment. Modern buildings and infrastructures are needed to satisfy crop and animal production demands. In this paper a review on the status of numerical methods applied to solve engineering problems in the field of buildings and infrastructures in biosystem engineering is presented. The history and basic background of the finite element method is presented. This is the first numerical method implemented and also the more developed one. The history and background of other two more recent methods, with practical applications, the computer fluids dynamics and the discrete element method are also presented. Besides, a review on the scientific and professional applications on the field of buildings and infrastructures for biosystem engineering needs is presented. Today we can simulate engineering problems with solids, engineering problems with fluids and engineering problems with particles and get to practical solutions faster and cheaper than in the past. The paper encourages young engineers and researchers to make progress these tools and their engineering applications. The capacities of all numerical methods in their present development status go beyond the present practical applications. There is a broad field to work on it. IntroductionThe present paper is a review of the numerical methods at present and their applications in solving engineering problems. The field is too wide to be considered in a single article. This is why the paper focuses on presenting the fundamentals of the most significant numerical methods that can be applied for buildings and infrastructures areas of biosystems engineering. The three next numerical methods will be considered: i) finite element method (FEM); ii) computer fluid dynamics (CFD); iii) discrete element method (DEM).In the paper the main features of these methods will be presented along with showing some examples in areas of biosystems engineering. Modern engineering can be considered to begin with the industrial revolution in the late eighteenth and early nineteenth century. From the very beginning, it has used the most powerful mathematical tools of the time in order to solve problems arising in practice. It was considered a fact that it was essential acquiring solid mathematical foundations for being a good engineer. The programs of studies from all Universities of the time prove it so. Even great figures on mathematics of the nineteenth and twentieth centuries were formally engineers. This symbiosis has produced good results for society. In the second half of XX Century, the fast development of computer science produced a great advance in numerical methods applied to physics and engineering.Based on this premise, the predictable future is that calculation and structural analysis in all fields of engineering will be based on modern numerical methods. This power...

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Section: Finite Element Methods In Buildings and Infrastructures Areasmentioning

confidence: 99%

Present and future of the numerical methods in buildings and infrastructures areas of biosystems engineering

Ayuga

2015

J Agricult Engineer

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“…Hence it is more effective to regulate the temperature in logistics unit rather than logistic time for acquiring specific safety reliability. And the smaller temperature difference between the various aspects of cold chains, it is more favorable for food quality maintenance [13,14]. That is to say, under the premise of system's overall safety reliability being no less than end-point safety reliability R E , starting from the logistics unit of lowest temperature, advance its temperature to the same value of the unit of most adjacent temperature; If there are a number of logistics units of the same temperature, then give priority to the unit with longest logistics time; Thus keep adjusting until system's overall safety reliability reaches the requirement R E .…”

Section: Heuristic Algorithmmentioning

confidence: 99%

Safety reliability optimal allocation of food cold chain

Zou¹,

Xie²,

Liu³

2013

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This paper applied the safety reliability of food cold chain logistics to establish reliability allocation model for cold chain systems, designed optimization algorithms, and made a case analysis. By applying system reliability allocation principle, this article firstly built safety reliability allocation model of food cold chain logistics system without cost constraint based on the safety reliability model of food cold chain logistics system, and then it set up optimal decisionmaking model of food cold chain logistics system with cost constraint using the functional relationship between the time, temperature of cold chain logistics and logistics costs. Next, according to the characteristics of the model, a heuristic algorithm was proposed to allocate safety reliability of the system to each cold chain unit so as to achieve the goal of operating costs optimization subject to assurance of overall safety reliability of the cold chain system. Taking the safety impact factor of food cold chain unit as a weight, the article also deduced the equation of reallocation of safety reliability of food cold chain system. In the end, these models were used to optimize the allocation of safety reliability in an example of Sushi cold chain process. It provided a new thought and method to optimally plan the unit safety of food cold chain system as well as reduce the cost of food cold chain.

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“…Supposing that the temperature gradient is sufficiently smooth over each individual layer, the classical lumped system analysis (CLSA) is based on the assumption that the boundary temperatures can be reasonably well approximated by the average temperature, as q i ðh; sÞj h¼h i yq avi ðsÞ; i ¼ 1; 2; . ; M; (19) q i ðh; sÞj h¼h iþ1 yq avi ðsÞ; i ¼ 1; 2; . ; M: (20) For each layer, there are two unknown boundary temperatures, q i j h¼h i and q i j h¼h iþ1; and two unknown heat fluxes, vq i =vhj h¼h i and vq i =vhj h¼h iþ1 .…”

Section: Lumped Modelsmentioning

confidence: 99%

“…Now, we have 2M equations provided by Eqs. (19,20), 2ðM À 1Þ equations by Eqs. (12,13) and two equations by Eqs.…”

Section: Lumped Modelsmentioning

confidence: 99%

Improved lumped models for transient combined convective and radiative cooling of multi-layer composite slabs

2011

Applied Thermal Engineering

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Improved lumped parameter models were developed for the transient heat conduction in multi-layer composite slabs subjected to combined convective and radiative cooling. The improved lumped models were obtained through two-point Hermite approximations for integrals. Transient combined convective and radiative cooling of three-layer composite slabs was analyzed to illustrate the applicability of the proposed lumped models, with respect to different values of the Biot numbers, the radiationconduction parameter, the dimensionless thermal contact resistances, the dimensionless thickness, and the dimensionless thermal conductivity. It was shown by comparison with numerical solution of the original distributed parameter model that the higher order lumped model ðH 1;1 =H 0;0 approximationÞ yielded significant improvement of average temperature prediction over the classical lumped model. In addition, the higher order ðH 1;1 =H 0;0 Þ model was applied to analyze the transient heat conduction problem of steel-concrete-steel sandwich plates.

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Prediction of the dynamic thermal behaviour of walls for refrigerated rooms using lumped and distributed parameter models

Cited by 14 publications

References 2 publications

Present and future of the numerical methods in buildings and infrastructures areas of biosystems engineering

Present and future of the numerical methods in buildings and infrastructures areas of biosystems engineering

Safety reliability optimal allocation of food cold chain

Improved lumped models for transient combined convective and radiative cooling of multi-layer composite slabs

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