Energy Model Applied to Renewable Energy in Housing Systems

L.J.C. Vasconcelos; V.S. da Silva

doi:10.4028/www.scientific.net/DDF.369.135

Paper Titles

Age Hardening and Accompanying Transformations of the Al-Ag and Al-Cu-Mg Supersaturated Solid Solutions
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An Experimental Study on the Drying Kinetics of Castor Bean Fruits (Ricinus communis L., “Brs Energia” Variety)
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Effective Properties of Pore Network Elements Derived from Reactive Transport in Individual Pores
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Mechanical Characterization and Water Sorption in Polyester Matrix Composites Reinforced with Sisal Fiber: An Experimental Investigation
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Energy Model Applied to Renewable Energy in Housing Systems
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A Theoretical Investigation of Banana Drying Using Diffusion Model
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Rough Rice Grain Drying (BRSMG CONAI) at Temperatures of 60 and 80°C in Oven
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Applying Liquid Diffusion Model for Continuous Drying of Rough Rice in Fixed Bed
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Development of Microstructure and Properties of Mg-Y-(Nd)-Zn Alloys during Heat and Mechanical Treatment
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HomeDefect and Diffusion ForumDefect and Diffusion Forum Vol. 369Energy Model Applied to Renewable Energy in...

Energy Model Applied to Renewable Energy in Housing Systems

Abstract:

In recent decades, global events and extreme changes make sustainable development and renewable energy a frequent subject of discussion in numerous global meetings. To analyze the energy matrix of a region in order to optimize it sustainably, is a way to reduce the impacts of these changes. Currently, the world energy matrix is made up of 81.0 % of non-renewable sources (78.4% oil and oil products, natural gas and coal, and 2.6 % uranium) and 19.0 % from renewable sources, (traditional biomass 9.0 %, bio-heat 2.6 %, 3.8% hydropower and 3.6% others renewable energies such as solar, wind, geothermal, biodiesel, ethanol, ocean power, etc.). In this sense, the aim of this work is to establish a sustainable model of energy planning in a region taking into account local characteristics and the efficiency in the power generation for residential systems. Energy demand data was collected from different Brazilian companies. From the data obtained, it was found that the method/model used is very efficient for the case study related to the energy efficiency of housing systems using renewable energy.

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Periodical:

Defect and Diffusion Forum (Volume 369)

Pages:

135-141

DOI:

https://doi.org/10.4028/www.scientific.net/DDF.369.135

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Online since:

July 2016

Authors:

L.J.C. Vasconcelos*, V.S. da Silva

Keywords:

Energy Sources, Mathematical Model, Renewable Energy

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References

[1] G. J. Van Wylen, R. E. Sonntag, C. Borgnakke, Fundamentals of Classical Thermodynamics. London: John Wiley & Sons, Inc. (1993).

Google Scholar

[2] J. Goldemberg, O. Lucon, Energy, Environment and Development. 3. ed. São Paulo: Universidade de São Paulo (2008). (In Portuguese).

DOI: 10.11606/9788571661868

Google Scholar

[3] M. T. Tolmasquim, Electrical Power Generation in Brazil. 1. ed. Rio de Janeiro: Interciência (2005). (In Portuguese).

Google Scholar

[4] A. C. Gracias, S. R. Lourenço, Application of a Mathematical Model to Simulate the Production and Import of Natural Gas in Brazil until 2017. v. 10, n. 3, set. 2010. Revista Produção Online.

Google Scholar

[5] NATIONAL ENERGETIC BALANCE – BEN – 2013. Available in: <https: /ben. epe. gov. br/downloads/Síntese%20do%20Relatório%20Final_2013_Web. pdf>. On access: 28/05/2014. (In Portuguese).

Google Scholar

[6] NATIONAL ENERGETIC BALANCE – BEN – 2014. Available in: <https: /ben. epe. gov. br/downloads/Relatorio_Final_BEN_2014. pdf>. On access: 28/04/2015. (In Portuguese).

Google Scholar

[7] D. G. Zill, M. R. Cullen, Differential Equations Vol. 1. 3. ed. São Paulo: Pearson (2001). (In Portuguese).

Google Scholar

[8] R. C. Bassanezi, Teaching and Learning with Mathematical Modeling. Contexto (2002). (In Portuguese).

Google Scholar