Investment risk analysis for photovoltaic power plant in the free contracting environment

Neto, Daywes Pinheiro; Domingues, Elder Geraldo; Coimbra, A. Paulo; Almeida, A.T. de; Calixto, Wesley P.

doi:10.1109/eem.2015.7216764

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Pereira et al [11] present a risk analysis methodology, using commercial software to apply the Monte Carlo Method (MCM), to evaluate the economic viability of a solar photovoltaic plant installed in the state of Pará, Brazil. Pinheiro Neto et al [12] present methodology for risk analysis of investment in a solar photovoltaic plant in Brazil. The authors use the MCM under the Free Contracting Environment and consider the physical variables solar irradiance and ambient temperature for the panel temperature calculation.…”

Section: Introductionmentioning

confidence: 99%

Synthetic Series of Electricity Generation through a Photovoltaic System by using Different Panel Temperature Models

Stah¹,

Neto²,

Vidal³

et al. 2021

REPQJ

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The electric energy produced by photovoltaic systems is a function of several variables that present random behavior, such as solar irradiance, ambient temperature, wind speed, and relative humidity. Several models describe the energy produced by these systems, which reflect the various factors that influence the generation and how significant these influences are. In this way, the present work aims to compare some panel temperature models and the electrical energy produced from a photovoltaic system located in the Midwest of Brazil. The applied methodology aims to evaluate the expected averages and standard deviations of the monthly synthetic series of generated energy to identify the main random variables that influence the electric generation. The results indicate the model that best describes the physical system concerning the randomness of the variables involved, the photovoltaic technology, the location, and the measurement period.

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Section: Introductionmentioning

confidence: 99%