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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.
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Rocznik
Tom
Strony
42--51
Opis fizyczny
Bibliogr. 9 poz., rys., tab.
Twórcy
autor
- Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State, Brazil
autor
- Federal Institute of Goiás (IFG), Brazil
autor
- Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State, Brazil
autor
- Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State, Brazil
autor
- Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State, Brazil
autor
- Power Quality Sector CELG Distribution S/A (CELG-D) Goiania, Goias State, Brazil
autor
- Power Quality Sector CELG Distribution S/A (CELG-D) Goiania, Goias State, Brazil
autor
- Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State, Brazil
- School of Electrical Engineering, Mechanical and Computer (EMC), Federal University of Goias (UFG), Brazil
Bibliografia
- [1] Brazilian Power Plants S/A, Solar energy for heating Brazil: contributions from Eletrobras Procel and partners (in Portuguese), Rio de Janeiro: Eletrobras, 2012.
- [2] Efficiency Valuation Organization, International Performance Measurement and Verification Protocol: Concepts and Options for Determining Energy and Water Savings, Volume 1, Toronto: EVO, 2012.
- [3] National Electric Power Agency – Energy Efficiency Program, Measurement and Verification Guide for Energy Efficiency Program Regulated by ANEEL (in Portuguese), Brasilia: ANEEL, 2014.
- [4] 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.
- [5] National Electric Energy Agency - Energy Efficiency Program, Energy Efficiency Program Procedures – EEPP (in Portuguese), Brasilia: ANEEL, 2014.
- [6] National Electric Energy Agency - Energy Efficiency Program, the M & V for water heating in low-income (in Portuguese), Brasilia: ANEEL, 2014.
- [7] 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.
- [8] J. Hull, Options, Futures and Other Derivatives, Prentice-Hall, second edition, 1993.
- [9] K. Dixit and R.S.Pindyck, Investment Under Uncertainty, Princeton University Press, Princeton, New Jersey, 1993.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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