Theoretical flow investigations of an all glass evacuated tubular collector

Shah, Louise Jivan; Furbo, Simon

doi:10.1016/j.solener.2006.09.007

Cited by 90 publications

(26 citation statements)

References 5 publications

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“…Water was circulated through the collector at 5.5 kg/min. This flow rate is on the high side of the optimum flow rates indicated by Shah and Furbo's results 15 for tubes with an inner diameter of 37 mm. Flow within the manifold is laminar, with Reynolds number estimated to be below 1500 thoughout the test period.…”

Section: Apparatus and Methodsmentioning

confidence: 63%

Performance of Horizontal Water-in-Glass Evacuated Tube Solar Collectors

Thomas¹

2016

J. mech. eng.

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Section: Apparatus and Methodsmentioning

confidence: 63%

Performance of Horizontal Water-in-Glass Evacuated Tube Solar Collectors

Thomas¹

2016

J. mech. eng.

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“…However the aspect ratio of the inner tube should not be so large that no flow is entrained at the lowest end of the collector (Morrison et al 2004(Morrison et al , 2005Budihardjo et al 2007;Shah and Furbo 2007).…”

Section: Evacuated-tube Flat-plate Collectorsmentioning

confidence: 99%

Flat-Plate and Evacuated Tube Collectors

Norton¹

2013

Lecture Notes in Energy

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The sun has got his hat on Hip hip hip hooray! The sun has got his hat on, and he's coming out to play Gay and Butler (1932) 5.1 Overview Solar-energy collectors are devices employed to gain useful heat energy from the incident solar radiation. They can be of the concentrating or the flat-plate type. A simple flat-plate solar energy collector consists basically of an absorbing surface which absorbs the insolation and transmit it in form of heat to a working fluid commonly air or water. A general steady-state analysis for flat-plate collectors is shown in Fig. 5.1.Instantaneous efficiencies are plotted against (T fii ÀT a )/I and the intercept and the slope determined (7.1.5). The long-term performance of many solar heating collectors can be characterized by a thus determined intercept and slope as shown by the illustrative examples for different collector types given in Fig. 5.2. These parameters are not constant but depend on temperature and wind speed. Heat removed is also a weak function of overall heat loss. To account for these effects non-linear equations have been developed and together with an angular dependent "incident angle modifier" are used in various versions as the basis for rating tests. These are shown in Fig. 5.3.The absorber material in a flat-plate collector, in addition to having a high absorbance of the incident radiation should also have a low emissivity, good thermal conductivity, and be stable thermally under temperatures encountered during operation and stagnation. It should also be durable, have low weight per unit area and, most importantly, be cheap. Black coated metal sheets (in air heater) and fins in water heaters are used frequently as absorbers due to their effectiveness, ease of use, availability and relatively low cost. Wisely or not, a multitude of

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“…Instead of listing tedious mathematical works, in this paper, we provide vital details about the general modeling and HTS process. Since tube solar collectors have a substantially lower heat loss coefficient than other types of collectors [12,32], WGET-SWHs gradually become popular during the past decades [33][34][35], with the advantages of excellent thermal performance and easy transportability [36,37]. With this reason, we chose the WGET-SWH system as a typical SWH, to show how a well-developed ANN model can be used to cost-effectively optimize the thermal performance of an SWH system, using an HTS method.…”

Section: Introductionmentioning

confidence: 99%

Predictive Power of Machine Learning for Optimizing Solar Water Heater Performance: The Potential Application of High-Throughput Screening

Liu

et al. 2017

International Journal of Photoenergy

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Predicting the performance of solar water heater (SWH) is challenging due to the complexity of the system. Fortunately, knowledge-based machine learning can provide a fast and precise prediction method for SWH performance. With the predictive power of machine learning models, we can further solve a more challenging question: how to cost-effectively design a highperformance SWH? Here, we summarize our recent studies and propose a general framework of SWH design using a machine learning-based high-throughput screening (HTS) method. Design of water-in-glass evacuated tube solar water heater (WGET-SWH) is selected as a case study to show the potential application of machine learning-based HTS to the design and optimization of solar energy systems.

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Theoretical flow investigations of an all glass evacuated tubular collector

Cited by 90 publications

References 5 publications

Performance of Horizontal Water-in-Glass Evacuated Tube Solar Collectors

Performance of Horizontal Water-in-Glass Evacuated Tube Solar Collectors

Flat-Plate and Evacuated Tube Collectors

Predictive Power of Machine Learning for Optimizing Solar Water Heater Performance: The Potential Application of High-Throughput Screening

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