Performance Study of a Dual-Function Thermosyphon Solar Heating System

Velmurugan, K.; Christraj, W.; Kulasekharan, N.; Elango, T.

doi:10.1007/s13369-015-1994-1

Cited by 11 publications

(8 citation statements)

References 30 publications

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“…It is very important to develop more and more precise mathematical models for describing the outlet temperatures of the cold and hot sides of heat exchangers, since these working components are essential in any practical applications, where heat transfer is required between hydraulically separated fluid parts (e.g. in (hydraulic) heating systems like central [1], district [2] or solar heating systems [3,4], etc.). Many modelling approaches like the ones based on the most commonly used [5] effectiveness-number of transfer units (effectiveness-NTU) method [6,7] and the logarithmic mean temperature difference (LMTD) approach [8] assume energy balance between the two sides (that is between the fluids in the two sides) of a heat exchanger without any heat gain/loss to the environment.…”

Section: Introductionmentioning

confidence: 99%

Modified effectiveness and linear regression based models for heat exchangers under heat gain/loss to the environment

2018

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Developing mathematical models for describing heat exchanger outlet temperatures is of great importance for the practice, since heat exchangers are unavoidable elements in any applications, where heat transfer is needed between hydraulically separated fluid parts. The conventional, well-tried physically-based E model (standing for the known effectiveness-NTU approach) is recalled. This model assumes energy balance between the two sides of a heat exchanger (without any interaction with the environment). Based on studies in the literature, mathematical models with similar simplicity and usability to that of the E model, but under heat gain/loss to the environment, are still lacking in the field. This work intends to contribute to filling this gap with two proposed models, called ME and LR models. Based on measured data, all three models are accurate enough for general engineering/modelling purposes, nevertheless, the partly physically-based, partly empirical ME model is more precise than the E model if the heat gain/loss to the environment is considerable, and the empirical (black-box type) LR model is more precise than both the E and ME models if the heat gain/loss is not negligible. Furthermore, the outlet temperatures can be explicitly expressed from the simple linear algebraic relations characterizing all models alike.

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Section: Introductionmentioning

confidence: 99%

Modified effectiveness and linear regression based models for heat exchangers under heat gain/loss to the environment

2018

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“…According to the (Peruvian Technical Standard) NTP Nº 501 of Thermal Environments, establishes the thermal comfort zone from (17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)ºC, in the experimental module an average of 20.93 ºC was reached, being within the NTP. According to the Givoni diagram, a temperature comfort zone between (20-27) ºC is estimated, being within the comfort zone.…”

Section: Resultsmentioning

confidence: 99%

“…In the study entitled "Performance Study of a Dual-Function Thermosyphon Solar Heating System", performed by [26] to design solar thermal baths, the author considers in a 3-day evaluation a peak Solar Irradiation maximum of 830w/m 2 shown in figure 7, which in the city of Juliaca shows a peak average Solar Irradiation of 1110.04 w/m 2 measured in 3 months; In addition, the author in his research with the design of the Vacuum Tube Solar Collector achieved an efficiency of 73.68%. [27].…”

Section: Discussionmentioning

confidence: 99%

Determination of Solar Energy for the Bioclimatic Design of Housing in the City of Juliaca Peru

Larico¹

2019

IJEES

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Solar energy is an inexhaustible source, clean and does not pollute the environment being a resource that can be used. The objective of this research work is to determine solar energy for the bioclimatic design of houses in the city of Juliaca for two systems: solar photovoltaic for the generation of electric power and solar thermal for water heating. In the development of this project the daily measurement for three months of the solar irradiation was made with a solar measuring instrument MAC-SOLAR Solarimeter SLM018c-2, where the Peak Sun Hours (HSP) were determined with the methodology of negative asymmetric distribution of 6.632 kwh/m 2 /day and an average irradiation value of 1110.04 w/m 2 in the city of Juliaca, with an optimum time interval from 9:00 am to 3:00 pm irradiation during the day, which has allowed modeling the behavior of solar energy for the design of a photovoltaic and thermal solar system; In addition, an experimental radiant floor module has been built in a bioclimatic room, which by recirculation of hot water through the floor reaches an average temperature of 20.93ºC from 6:00 am to 9:00 pm, being within the zone of comfort of the Givoni Psychometric Diagram and the Peruvian Technical Standard (NTP).

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“…En el estudio titulado "Performance Study of a Dual-Function Thermosyphon Solar Heating System", realizo por (Velmurugan, Christraj, Kulasekharan, & Elango, 2016) para diseñar termas solares, el autor considera en una evaluación de 3 días una Irradiación Solar pico máxima de 830 W/m 2 mostrado en la figura 8, lo cual en la ciudad de Juliaca se observa una Irradiación Solar promedio pico de 1110,04 W/m 2 medidos en 3 meses.…”

Section: Materiales Y Métodosunclassified

“…Variación de la Incidencia Solar diaria. Fuente: (Velmurugan et al, 2016) Comparando otra investigación hecha en Mumbai titulado "Impact of Solar Panel Orientation on Large Scale Rooftop Solar Photovoltaic Scenario for Mumbai", realizado por (Singh & Banerjee, 2016) Fuente: (Singh & Banerjee, 2016) En la investigación titulada "Experimental implementation of meteorological data and photovoltaic solar radiation monitoring system" hecha por el autor (Rezk, Tyukhov, & Raupov, 2015) donde realizó un estudio de la incidencia solar potencial de Rusia evaluando la Irradiación Solar pico promedio por día de 812 W/m 2 el cual no llega a 1000 W/m 2 observándose en la figura 10, en la ciudad de Juliaca se sobrepasa los 1000 W/m 2 en un intervalo de tiempo de 6,5 Horas siendo una zona potencial para el aprovechamiento de la energía solar. Fuente: (Rezk et al, 2015) Un estudio realizado por (Notton, 2017) en su obra titulada "Building integrated solar thermal systems presentation and zoom on the solar potential", realizado en BIST (Barcelona Institute of Science and Technology) de Barcelona en un edificio bioclimatizado con energía solar demuestra que la Irradiación Solar pico en el mes de agosto es de 955 W/m 2 con una variación simétrica durante el día, pero en el mes de diciembre hay un incremento hasta 1098 W/m 2 pico con un promedio de 1047 W/m 2 en un intervalo de tiempo muy corto de 30 min de (HSP) mostrado en la figura 11, lo cual es muy poco para tener un buen rendimiento con equipos que trabajan con energía solar; lo que mencionamos anteriormente de la ciudad de Juliaca tiene un promedio pico de 1110,04 W/m 2 y un intervalo de tiempo 6,5 horas de (HSP).…”

Section: Materiales Y Métodosunclassified

Determinación De La Energía Solar Para El Diseño Bioclimático De Viviendas en La Ciudad De Juliaca Región Puno

Larico

2018

Rev. Investig.

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Performance Study of a Dual-Function Thermosyphon Solar Heating System

Cited by 11 publications

References 30 publications

Modified effectiveness and linear regression based models for heat exchangers under heat gain/loss to the environment

Modified effectiveness and linear regression based models for heat exchangers under heat gain/loss to the environment

Determination of Solar Energy for the Bioclimatic Design of Housing in the City of Juliaca Peru

Determinación De La Energía Solar Para El Diseño Bioclimático De Viviendas en La Ciudad De Juliaca Región Puno

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