Methodology for Measurement the Energy Efficiency Involving Solar Heating Systems Using Stochastic Modelling

Bruno G. Menita; Girodani Pacífico Medeiros; Jose L. Domingos; Elder G. Domingues; Aylton J. Alves; Adriano F. Faria; Marcio L. S. Miguel; Wesley P. Calixto

doi:10.22149/teee.v2i1.84

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About The Authors

Bruno G. Menita
Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State
Brazil

Bruno G. Menita received the bachelor's degree in mechanical engineering from the Federal University of Santa Catarina (2009) and a master's degree in technology of sustainable processes from the Federal Institute of Goiás (2015), being a concentration area Technology of Clean Production Systems and a line of research Energias Renewables and Applied Economic Engineering. Now he is a researcher in metrology and quality of the National Institute of Metrology, Quality and Technology.

Girodani Pacífico Medeiros
Federal Institute of Goiás (IFG)
Brazil

Giordani P. Medeiros is an Academic of Control and Automation Engineering by the Federal Institute of Goiás, expected to graduate in 2017. He is currently a researcher at the Nucleus of Experimental and Technological Studies and Research (NExT / IFG).

Jose L. Domingos
Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State
Brazil

Jose L. Domingos received the master's degree (1998) and a doctorate in Electrical Engineering from the Federal University of Uberlândia (2003). Professor at the Federal Institute of Education, Science and Technology of Goiás IFG since 1992. He works in the area of Industrial Networks, Intelligent Systems (Fuzzy Logic and Neural Networks), Electric Machines (Variable Reluctance Machines) and Renewable Energy Photovoltaic Solar and Solar Thermal Conversion). He is a founding member of IFG's Center for Experimental and Technological Studies (NExT / IFG). Experience in management as Coordinator of the Technical Course in Telecommunications, Research and Post-Graduation Coordinator, Extension Manager, and currently as Manager of Research, Graduate and Extension of Campus Goiânia of the IFG.

Elder G. Domingues
Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State
Brazil

Elder G. Domingues received the bachelor’s degree in Electrical Engineering from the Federal University of Uberlândia (1993), a Master's degree in Electrical Engineering from the Federal University of Uberlândia (1996) and a PhD in Electrical Engineering from the Federal University of Itajubá (2003). He is currently professor of the Federal Institute of Goiás IFG. He has experience in Electric Power Systems and works in the following lines of research: Electric Energy Market, Electrical Energy Quality, Applied Economic Engineering and Sustainable Process Technology.

Aylton J. Alves
Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State
Brazil

Aylton J. Alves has a technical degree in Electrical Engineering from the Federal Technical School of Goiás (ETFG1983), a bachelor’s degree in Electrical Engineering from the Federal University of Goiás (1990), a Master's Degree in Electrical and Computer Engineering from the Federal University of Goiás (2001) and a PhD from the Federal University of Uberlândia (2011). Currently a Full Professor of Technology at the Federal Institute of Goiás (IFG) is one of NExT's leaders Nucleus of experimental and technological studies, registered in the CNPQ. He has experience in Electrical Engineering, working mainly in the following subjects: Electric Machines, Electronic Automation of Electrical and Industrial Processes, modeling of electrical machines, modeling of environmental systems, electrical drives, orientation of research works in alternative sources of energy: solar , Thermoelectric and biogas.

Adriano F. Faria
Power Quality Sector CELG Distribution S/A (CELG-D) Goiania, Goias State
Brazil

Marcio L. S. Miguel
Power Quality Sector CELG Distribution S/A (CELG-D) Goiania, Goias State
Brazil

Wesley P. Calixto
https://scholar.google.com/citations?user=xW11TA4AAAAJ&hl=en
Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State School of Electrical Engineering, Mechanical and Computer (EMC), Federal University of Goias (UFG)
Brazil

Wesley P. Calixto He holds a degree in Physics, a Master's degree in Electrical and Computer Engineering from the Federal University of Goiás (UFG). He completed his PhD in Electrical Engineering by the Federal University of Uberlândia (UFU) with a period at the University of Coimbra (UC), Portugal. He is currently Professor / Researcher at the Nucleus of Experimental and Technological Studies and Research (NExT / IFG).

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Methodology for Measurement the Energy Efficiency Involving Solar Heating Systems Using Stochastic Modelling

Bruno G. Menita, Girodani Pacífico Medeiros, Jose L. Domingos, Elder G. Domingues, Aylton J. Alves, Adriano F. Faria, Marcio L. S. Miguel, Wesley P. Calixto

Abstract

The purpose of the present study is to evaluate gains through measurement and verification methodology adapted from the International Performance Measurement and Verification Protocol, from case studies involving Energy Efficiency Projects in the Goias State, Brazil. This paper also presents the stochastic modelling for the generation of future scenarios of electricity saving resulted by these Energy Efficiency Projects. The model is developed by using the Geometric Brownian Motion Stochastic Process with Mean Reversion associated with the Monte Carlo simulation technique. Results show that the electricity saved from the replacement of electric showers by solar water heating systems in homes of low-income families has great potential to bring financial benefits to such families, and that the reduction in peak demand obtained from this Energy Efficiency Action is advantageous to the Brazilian electrical system. Results contemplate also the future scenarios of electricity saving and a sensitivity analysis in order to verify how values of some parameters influence on the results, once there is no historical data available for obtaining these values.

Keywords

energy efficiency; geometric brownian motion; Monte Carlo simulation; performance measurement and verification; solar water heating

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References

Brazilian Power Plants S/A, Solar energy for heating Brazil: contributions from Eletrobras Procel and partners (in Portuguese), Rio de Janeiro: Eletrobras, 2012.

Efficiency Valuation Organization, International Performance Measurement and Verification Protocol: Concepts and Options for Determining Energy and Water Savings, Volume 1, Toronto: EVO, 2012.

National Electric Power Agency – Energy Efficiency Program, Measurement and Verification Guide for Energy Efficiency Program Regulated by ANEEL (in Portuguese), Brasilia: ANEEL, 2014.

E. Domingues, Risk Analysis to Optimize Portfolios of Physical Assets in Electric Power Generation, Itajubá: Doctoral Thesis (in Portuguese), Postgraduate Course in Electrical Engineering, Federal University of Itajuba, 2003.

National Electric Energy Agency - Energy Efficiency Program, Energy Efficiency Program Procedures – EEPP (in Portuguese), Brasilia: ANEEL, 2014.

National Electric Energy Agency - Energy Efficiency Program, the M & V for water heating in low-income (in Portuguese), Brasilia: ANEEL, 2014.

E. Fonseca, Comparison between simulations by the Brownian Geometric Movement and the Reversal Movement to the Average in the calculation of the Cash Flow Risk of the downstream department of an oil company (in Portuguese), Rio de Janeiro : Master's Dissertation, COPPEAD Institute of Administration, Federal University of Rio de Janeiro, 2006.

J. Hull, Options, Futures and Other Derivatives, Prentice-Hall, second edition, 1993.

A. K.Dixit and R. S.Pindyck, Investment Under Uncertainty, Princeton University Press, Princeton, New Jersey, 1993.

DOI: http://dx.doi.org/10.22149/teee.v2i1.84

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Transactions on Environment and Electrical Engineering

Methodology for Measurement the Energy Efficiency Involving Solar Heating Systems Using Stochastic Modelling

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