Optimization of insulation thicknesses using micros

Sofrata, H.; Salmeen, B.

doi:10.1016/0196-8904(93)90078-o

Cited by 16 publications

(3 citation statements)

References 1 publication

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“…Other researchers have used a simulation-based method to circumvent this type of input simplification in the equation-based method [19]. Sofrata and Salmeen [20] established a mathematical model for optimum insulation thickness that is more consistent and general. He also demonstrated how to use a flowchart to choose the appropriate insulation thickness.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Numerical Simulation on the Thermal Insulation Materials Using Recycled Thermoplastic Polymers

Al-Shawabkeh¹,

Sawalheh²,

Ikhries³

et al. 2022

Mater. Plast.

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In construction building, the optimum insulation material thickness determines the efficiency of energy consumption. In this paper, heat transfer and the temperature distribution of recycled polymers between construction building components are investigated using theoretical and simulation methods. It has been shown that when the thickness of all recycled polymers being studied is increased, insulation improves and energy consumption decreases, indicating that XPS is the best recycled plastic and the optimum thickness is 7 cm. In this work, experimental and numerical approaches have been used, to conduct a qualitative and quantitative analysis of the thermal performance of an external wall outfitted with new insulation materials, based on the most commercialized recycled thermoplastic polymers (Polyethylene RPE, Polyethylene terephthalate RPET, and Expanded Polystyrene RXPS) waste.

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Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Numerical Simulation on the Thermal Insulation Materials Using Recycled Thermoplastic Polymers

Al-Shawabkeh¹,

Sawalheh²,

Ikhries³

et al. 2022

Mater. Plast.

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“…Wong and Chou [27] taken into account to variation of convection resistance due to increasing heat transfer surface area using a new regular polygon top solid wedge thermal resistance (RPSWT) model. Sofrata and Salmeen [28] developed a general mathematical model to select the best insulation thickness. Demir et al [29] and Sevindir et al [30] proposed a new analytical method for determining the optimum distribution of insulation material under steady state and transient conditions using degree day method for building envelopes and cold storage systems.…”

Section: Introductionmentioning

confidence: 99%

Determination of Optimum Insulation Thickness Distribution for Refrigerators

Demir

2018

SDÜ Fen Bil Enst Der

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Most of electricity is consumed in either commercial or domestic refrigeration systems. Since the outer volume is determined, inner volume of a refrigeration system is important for a specified energy consumption. Therefore, the optimum distribution of insulation material according to inside and outside conditions for on and off time of a refrigerator is very important. Uniform distribution of insulation material is useful only convection and conduction resistances are the same for all sides and also on and off periods. In this study, a general solution of the optimum distribution of thermal insulation material for a given insulation material volume or given inner volume is suggested for refrigeration systems and also explained by a case study.

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“…[5]. The thermo-economically predicted optimum insulation-thickness for the seasonal heating mode of heating, ventilation and air conditioning (HVAC) systems has been reported [6][7][8]. Although there are some recommendations for estimating insulation thickness, several are not appropriate for this freeze protection method because operating the heating cable in cold climates would consume electricity.…”

Section: Introductionmentioning

confidence: 99%

Optimum insulation-thickness for thermal and freezing protection

Chow

2005

Applied Energy

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Optimization of insulation thicknesses using micros

Cited by 16 publications

References 1 publication

Experimental Investigation and Numerical Simulation on the Thermal Insulation Materials Using Recycled Thermoplastic Polymers

Experimental Investigation and Numerical Simulation on the Thermal Insulation Materials Using Recycled Thermoplastic Polymers

Determination of Optimum Insulation Thickness Distribution for Refrigerators

Optimum insulation-thickness for thermal and freezing protection

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