Storage tanks—A numerical experiment

Cabelli, A.

doi:10.1016/0038-092x(77)90087-1

Cited by 88 publications

(11 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This means that the plume entrainment re"nement should not be required. Cabelli (1977) as well as Guo and Wu (1985) developed two-dimensional, time-dependent mixed convection models for arbitrary Reynolds (Re) and Grashof (Gr) number conditions in the laminar #ow region. They found that for a Richardson number (Ri"Gr/Re) greater than unity the mixing e!ects between layers are negligible.…”

Section: Storage Reservoir Simulation Modelmentioning

confidence: 99%

Demand side management for water heating installations in South African commercial buildings

Rousseau

Strauss

Greyvenstein

2001

Int. J. Energy Res.

View full text Add to dashboard Cite

SUMMARYThe largest percentage of the sanitary hot water used in South African buildings is heated by means of direct electrical resistance heaters. This is one of the major contributing factors of the undesirable high morning and afternoon peaks imposed on the national electricity supply grid. Water heating therefore continues to be of concern to ESKOM, the country's only electrical utility company. The so-called in-line water heating system design methodology was developed to address this problem. This paper investigates the potential impact of in-line systems on the national peak electrical demand.A computer simulation model was developed that combines a deterministic mathematical model with a statistical approach in order to predict the diversity factors associated with both the existing and in-line design methodologies. A study was also conducted to estimate the total installed water heating capacity in the national commercial building sector. This "gure can be combined with the simulated diversity factor to determine the peak electrical demand. The deterministic model includes the detailed simulation of the hot water storage vessel, the electrical heater and the system control algorithm. The mathematical model for the storage vessel is based on an electrical analogue approach that includes the e!ects of conduction as well as forced and natural convection. This model was veri"ed extensively with the aid of laboratory measurements and compared with existing storage vessel models.It was found that the new storage vessel model could predict the supply temperature within 2 per cent for a system con"guration with the heater in parallel outside the reservoir and within 12 per cent for a con"guration with the heater situated inside the reservoir. This compares favourably with existing models found in the literature. The complete simulation based on the statistical approach showed that extensive application of the new design methodology could result in a reduction of approximately 75 MW in the total maximum peak demand imposed on the electricity supply grid in wintertime. This is 58 per cent of the current peak demand due to commercial water heating and 12.5 per cent of the peak load reduction target set by ESKOM until the year 2015.

show abstract

Section: Storage Reservoir Simulation Modelmentioning

confidence: 99%

Demand side management for water heating installations in South African commercial buildings

Rousseau

Strauss

Greyvenstein

2001

Int. J. Energy Res.

View full text Add to dashboard Cite

show abstract

“…Several investigators have studied the recirculating flow in enclosures caused by the discharge of hot, buoyant fluid particularly for laminar flow. Wada (1967, 19681, Park andSchmidt (1973), Oberkampf and Crow (1976), Cabelli (1977), Sliwinski (1980), Jaluria (1980, 1981), and Jaluria and Gupta (1980) studied the recirculating flow in water bodico for various fluw configurations. Figures 2-8 through 2-10 indicate some of the results.…”

Section: -2mentioning

confidence: 99%

“…If e is kept as unity, the flow and thermal fields are only partially simulated. Oberkampf and Crow (1976) and Cabelli (1977) obseitve that the flow takes a iong time t o be fully esta5-Ifshed. In a very short time (minutes) the flow apparently establishes a pattern that changes very gradually because of the diffusion of thermal effects.…”

mentioning

confidence: 99%

Heat Rejection and Energy Extraction within Solar Ponds

Jaluria¹

1982

View full text Add to dashboard Cite

show abstract

“…Close [7] proposed a one-dimensional stratified tank model. The model is validated by Cabelli [8], via his twodimensional stratified tank model. Misra [9] developed a simple transient thermal model for stratified tanks.…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of Forced Circulation of Solar Water Heating Systems in TRNSYS

et al. 2014

View full text Add to dashboard Cite

There is no doubt that experimental measurement is the best way to obtain accurate valuable information of the behaviour of a system. However, theoretical approach or simulation modeling can have many advantages over experiment, as we can predict easily (and up to an acceptable accuracy) the performance of systems under varying climatic conditions, design parameters, and operating conditions in a very short time compared to experiments. In addition, simulation models can be used for designing purposes and in optimizing the various design parameters of the systems, without the need of very expensive test rigs equipped with accurate instruments.Recently, there are a number of computer programs that have been developed and are commercially available for use in the design, optimization, and evaluation of thermal performance of solar water heating systems. TRNSYS, PolySun, MINSUN, WATSUN, and T*sol, are among the best software available commercially.The present paper attempts to test how accurate TRNSYS simulation program can be in simulating different configuration of forced circulation solar water heating systems, and to inspect the most prominent parameters that affect the discrepancy between simulation and experiment. Preliminary experiments showed that there was a discrepancy which has most likely come as a result of the position of the temperature sensors controlling the circulation of the pump.

show abstract

Storage tanks—A numerical experiment

Cited by 88 publications

References 3 publications

Demand side management for water heating installations in South African commercial buildings

Demand side management for water heating installations in South African commercial buildings

Heat Rejection and Energy Extraction within Solar Ponds

Experimental Validation of Forced Circulation of Solar Water Heating Systems in TRNSYS

Contact Info

Product

Resources

About