The Experts below are selected from a list of 30567 Experts worldwide ranked by ideXlab platform
Shawki M. Eldighidy - One of the best experts on this subject based on the ideXlab platform.
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Optimum Outlet Temperature of solar collector for maximum work output for an Otto air-standard cycle with ideal regeneration
Solar Energy, 1993Co-Authors: Shawki M. EldighidyAbstract:The optimum solar collector Outlet Temperature for maximizing the work output for an Otto air-standard cycle with ideal regeneration is investigated. A mathematical model for the energy balance on the solar collector along with the useful work output and the thermal efficiency of the Otto air-standard cycle with ideal regeneration is developed. The optimum solar collector Outlet Temperature for maximum work output is determined. The effect of radiative and convective heat losses from the solar collector, on the optimum Outlet Temperature is presented. The results reveal that the highest solar collector Outlet Temperature and, therefore, greatest Otto cycle efficiency and work output can be attained with the lowest values of radiative and convective heat losses. Moreover, high cycle work output (as a fraction of absorbed solar energy) and high efficiency of an Otto heat engine with ideal regeneration, driven by a solar collector system, can be attained with low compression ratio.
Jorge Kubie - One of the best experts on this subject based on the ideXlab platform.
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design of a pv driven low flow solar domestic hot water system and modeling of the system collector Outlet Temperature
Energy Conversion and Management, 2002Co-Authors: Tom Grassie, K Macgregor, Tariq Muneer, Jorge KubieAbstract:Abstract The system under consideration comprises a new freeze tolerant flat plate collector connected directly to a domestic hot water storage tank. Water is circulated by means of a small 12 V DC pump, driven directly by a PV module. It is desired that the system will operate with a variable low flow to provide a relatively constant Outlet Temperature and promote thermal stratification in the storage tank. The rationale behind employing this operational strategy is outlined, and an overview of the benefits of employing such a system is given. In respect of controlling the flow to optimize the performance of the present system, through a thorough examination of their respective characteristics and interactions, the process of selecting the most suitable combination of system components is highlighted. Furthermore, a method for determining the degree of PV output control that is required to best meet the optimum operating condition is given. System performance is then analyzed in relation to the desired operating condition. For a given pump and hydraulic system, an algorithm for predicting the collector Outlet Temperature in relation to the peak PV output, degree of control, collector efficiency characteristics and irradiance is presented. Predicted and measured Outlet Temperatures are compared, and the results discussed.
Tom Grassie - One of the best experts on this subject based on the ideXlab platform.
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design of a pv driven low flow solar domestic hot water system and modeling of the system collector Outlet Temperature
Energy Conversion and Management, 2002Co-Authors: Tom Grassie, K Macgregor, Tariq Muneer, Jorge KubieAbstract:Abstract The system under consideration comprises a new freeze tolerant flat plate collector connected directly to a domestic hot water storage tank. Water is circulated by means of a small 12 V DC pump, driven directly by a PV module. It is desired that the system will operate with a variable low flow to provide a relatively constant Outlet Temperature and promote thermal stratification in the storage tank. The rationale behind employing this operational strategy is outlined, and an overview of the benefits of employing such a system is given. In respect of controlling the flow to optimize the performance of the present system, through a thorough examination of their respective characteristics and interactions, the process of selecting the most suitable combination of system components is highlighted. Furthermore, a method for determining the degree of PV output control that is required to best meet the optimum operating condition is given. System performance is then analyzed in relation to the desired operating condition. For a given pump and hydraulic system, an algorithm for predicting the collector Outlet Temperature in relation to the peak PV output, degree of control, collector efficiency characteristics and irradiance is presented. Predicted and measured Outlet Temperatures are compared, and the results discussed.
Johane Bracamonte - One of the best experts on this subject based on the ideXlab platform.
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a dimensionless model for the Outlet Temperature of a nonisothermal flat plate solar collector for air heating
Solar Energy, 2012Co-Authors: Miguel Baritto, Johane BracamonteAbstract:Abstract The numerical model proposed by Baritto (2010) for the prediction of Temperature distribution in a flat plate solar air heater is presented in dimensionless form and solved for a wide range of turbulent flow operating conditions. A parametric study is performed and the Outlet Temperature is proposed as a function of the aspect ratios and the mass flow number. The proposed equation shows good agreement with experimental data.
Brink Van Der Merwe - One of the best experts on this subject based on the ideXlab platform.
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Electric Water Heater Energy Consumption Determination Using Outlet Temperature and Volumetric Estimation
2019Co-Authors: Philip Nel, Mj Booysen, Brink Van Der MerweAbstract:This paper presents the use of Outlet Temperature and water meter data as inputs to a physical model of a domestic electric water heater (EWH) for estimating the energy consumption for various control settings. Four sets of actual household data, consisting of at least 7 consecutive days each, is used to determine the accuracy of the energy consumption estimates in comparison to measured energy consumption. Both the Outlet Temperature and water meter data inputs used were able to estimate the total energy input with an error of less than 10 percent for 3 of the 4 datasets considered. Additionally, both methods are also implemented as a smartphone application that can be used to obtain input from users, as well as provide instantaneous feedback on the impact of control changes.
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SSCI - Electric Water Heater Energy Consumption Determination Using Outlet Temperature and Volumetric Estimation
2015 IEEE Symposium Series on Computational Intelligence, 2015Co-Authors: P. J. C. Nel, Mj Booysen, Brink Van Der MerweAbstract:This paper presents the use of Outlet Temperature and water meter data as inputs to a physical model of a domestic electric water heater (EWH) for estimating the energy consumption for various control settings. Four sets of actual household data, consisting of at least 7 consecutive days each, is used to determine the accuracy of the energy consumption estimates in comparison to measured energy consumption. Both the Outlet Temperature and water meter data inputs used were able to estimate the total energy input with an error of less than 10 percent for 3 of the 4 datasets considered. Additionally, both methods are also implemented as a smartphone application that can be used to obtain input from users, as well as provide instantaneous feedback on the impact of control changes.
