Numerical model and effectiveness correlations for a run-around heat recovery system with combined counter and cross flow exchangers

Vali, Alireza; Simonson, Carey J.; Besant, Robert W.; Mahmood, Gazi I.

doi:10.1016/j.ijheatmasstransfer.2009.07.020

Cited by 141 publications

(42 citation statements)

References 4 publications

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“…The sensitivities from the initial states to the output (S S S yx 0 ) are found from: Coupled CDR equations typically describe the dynamics of post-harvest storage processes. However, these equations are also used in a wide range of other processes that utilise the laws of conservation of heat and mass (see, for instance, Hsieh & Yang, 2010;Vali, Simonson, Besant, & Mahmood, 2009;Zambra, Munoz, & Moraga, 2015). In the porous medium of a bulk food-storage facility, interaction between the product and the air induces the coupling between the CDR equations that describe temperature in the air and in the food product.…”

Section: Non-linear 1d Cdr Sensitivity Fieldsmentioning

confidence: 99%

Controllability and observability of 2D thermal flow in bulk storage facilities using sensitivity fields

Grubben

Keesman

2017

International Journal of Control

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To control and observe spatially distributed thermal flow systems, the controllable field and observable field around the actuator and sensor are of interest, respectively. For spatially distributed systems, the classical systems theoretical concepts of controllability and observability are, in general, difficult to apply. In this study, sensitivity fields were used to analyse the behaviour from input to state and from initial state to output. For the analysis of controllability and observability, a large-scale, bulk storage facility with coupled thermal flow of air and agro-products was used. Analysis of this system using the classical systems theory results in controllability and observability results that are dependent on the step size of the spatially discretised system. Due to matrix multiplications, inaccurate results are calculated if the step size is too small. Our findings indicate that input-state and initial-state output sensitivity fields provide sufficient information about the controllability and observability of large coupled spatially distributed systems, using finite-dimensional state space representation with small discretisation steps.

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Section: Non-linear 1d Cdr Sensitivity Fieldsmentioning

confidence: 99%

Controllability and observability of 2D thermal flow in bulk storage facilities using sensitivity fields

Grubben

Keesman

2017

International Journal of Control

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“…The combination of a cross and counter-flow plate heat exchanger, as discussed previously, was incorporated into a numerical model of a run-around heat recovery system by Vali et al (49). The new system design was validated against published literature and was accurate to ±2.5% for both individual exchangers and a system as a whole.…”

Section: Run-aroundmentioning

confidence: 99%

A review of heat recovery technology for passive ventilation applications

O’Connor

Calautit

Hughes

2016

Renewable and Sustainable Energy Reviews

105

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“…This gives run-around system an advantage over other available system when cross contamination is a concern. The heat is transferred from the exhaust to supply air using an intermediate heat transfer fluids such as water (Vali A, Simonson CJ et al, 2009). The main advantage of this system is that supply and extract duct can be physically separated, even in different part of the building.…”

Section: Types Of Heat Recovery Typical Efficiency Advantagesmentioning

confidence: 99%