ISSN (Print): 2328-7349

ISSN (Online): 2328-7330

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Article

Quasi Isothermal Heat Engine for Concentrating Solar Power Systems

1Centro de Ciencias Aplicadas y Desarrollo Tecnológico, Universidad Nacional Autónoma de México, Circuito Exterior S/N, Ciudad Universitaria, AP 70-186, CP 04510, México D. F. México


American Journal of Energy Research. 2016, 4(1), 16-26
doi: 10.12691/ajer-4-1-3
Copyright © 2016 Science and Education Publishing

Cite this paper:
E. Kussul, T. Baidyk, O. Olvera Tapia. Quasi Isothermal Heat Engine for Concentrating Solar Power Systems. American Journal of Energy Research. 2016; 4(1):16-26. doi: 10.12691/ajer-4-1-3.

Correspondence to: E.  Kussul, Centro de Ciencias Aplicadas y Desarrollo Tecnológico, Universidad Nacional Autónoma de México, Circuito Exterior S/N, Ciudad Universitaria, AP 70-186, CP 04510, México D. F. México. Email: ekussul@unam.mx

Abstract

Recently we developed new type of solar concentrators, which have parabolic dish surface approximated with flat facet mirrors. To create the solar power plant on the base of these concentrators it is necessary to develop efficient heat engine for the temperature difference that can be obtained with new concentrators. For this purpose we propose to create quasi isothermal heat engine based on the Ericsson cycle and designed as rolling piston engine. We present in this paper two types of such engines: one-valve heat engine and valve-less heat engine. The theoretical analysis shows that for high temperature 600 K and low temperature 300 K the thermal efficiency can be obtained 0.46-0.49 for one-valve heat engine and 0.36-0.46 for valve-less heat engines for compression rate 1.2-1.05. To obtain acceptable power-two-weight ratio of the engine it is necessary to maintain the mean pressure of the cycle equal to 100-200 bar as it is made in some Stirling engines.

Keywords

References

[1]  Kussul E., Baidyk T., Lara F., Saniger J., Bruce N., Estrada C., Micro facet solar concentrator, International Journal of Sustainable Energy, 2008, Vol.27, Issue 2, pp.61-71.
 
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[3]  Kussul E., Baidyk T., Lara-Rosano F., Jose M. Saniger Blesa, Neil Bruce, Concentrador Solar, Mexico, Patente No 309274, 26.04.2013.
 
[4]  Kussul E., Baidyk T., Lara-Rosano F., Jose M. Saniger Blesa, Gabriel Ascanio, Neil Bruce, Método y dispositivo de ajuste de posición de espejos de un concentrador solar, Mexico, Patente No 313963, 30.09.2013.
 
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[12]  E. Kussul, O. Makeyev, T. Baidyk, and O. Olvera, Design of Ericsson heat engine with micro channel recuperator, ISRN Renewable Energy, Article ID 613642, (2012), 8 pp.
 
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Article

Experimental Investigation of Mass Transfer in a Channel of Contacting Conditioner

1Heat-and-Power Engineering Department, NTUU “Kyiv polytechnic institute”, Kyiv, Ukraine


American Journal of Energy Research. 2016, 4(2), 27-34
doi: 10.12691/ajer-4-2-1
Copyright © 2016 Science and Education Publishing

Cite this paper:
I. M. Kuzmenko, O. V. Makarchuk. Experimental Investigation of Mass Transfer in a Channel of Contacting Conditioner. American Journal of Energy Research. 2016; 4(2):27-34. doi: 10.12691/ajer-4-2-1.

Correspondence to: I.  M. Kuzmenko, Heat-and-Power Engineering Department, NTUU “Kyiv polytechnic institute”, Kyiv, Ukraine. Email: ozirno@ukr.net

Abstract

Mass transfer coefficient for contacting conditioning is determined experimentally and theoretically for steady air. Contribution of diffusion and convection component into mass transfer is estimated. The assessment showed that the contribution of the convection component into mass transfer can be neglected. Thickness of diffusional mass transfer layer was experimentally measured and it less than the theoretical values of displacement layer thickness till 10 times. Therefore the experimental value of mass transfer coefficient exceeds by one order the theoretically calculated ones. The criteria equation is recommended for calculation of mass transfer coefficient at steady air flow in a channel.

Keywords

References

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Article

Household Electricity Consumption of Middle Class Family in Chiitagong - A Case Study

1Department of Statistics, University of Chittagong, Chittagong, Bangladesh


American Journal of Energy Research. 2016, 4(2), 35-41
doi: 10.12691/ajer-4-2-2
Copyright © 2016 Science and Education Publishing

Cite this paper:
Md Rokonuzzaman, Sharmin Jahan, Md Shahidul Haque. Household Electricity Consumption of Middle Class Family in Chiitagong - A Case Study. American Journal of Energy Research. 2016; 4(2):35-41. doi: 10.12691/ajer-4-2-2.

Correspondence to: Md  Rokonuzzaman, Department of Statistics, University of Chittagong, Chittagong, Bangladesh. Email: rokonuzzaman@cu.ac.bd

Abstract

Introduction: Electricity is a necessity in the modern world. Electricity has attained a very important place in every household on this planet. It is a major contributor towards improvement of the standard of living of any individual, family and society at large. The aims of this study is to find out the monthly average household electricity consumption and fit a suitable time series model to predict the electricity use. Data and Analysis: A time series monthly electricity uses data of a middle class family in Chittagong from January 2001 to November 2015 is considered in this analysis. To check variability the descriptive statistics and different types of graphs are used. The volatility model ARCH family regression with ARIMA disturbances model is used for forecasting. Chow test statistic is used for checking the structural breaking point of the dataset. Results & Conclusion: From the ACF and PACF function we get the cut off point for AR and MA part are 2 and 3 respectively. Further as ARCH effect is significant for this data set we use ARCH family regression with ARMA disturbances model, After comparing the different value of the parameters, ARCH(1) with ARIMA (3,0,2) disturbances is best fit for this data set. There have a structural break point for the month of December in 2010. Before this date data, ARCH (1) regression family with ARIMA (2,0,2) disturbance is the best fitted model for the analysis. And for the post data follows only ARIMA(1,0,1) disturbance is the best fitted model for this analysis. Recommendation: For forecasting of the monthly electricity uses of a middle class family in Chittagong, ARCH(1) with ARIMA (3,0,2) disturbances time series model can be used. For better prediction one can consider to select a representative size of sample families with at least 20 years data. Also some covariates like family size and electronic items used in the family can be considered and can try to fit a GARCH or TGARCH model.

Keywords

References

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