The seasonal variability and trends for the surface solar irradiation in northeastern region of Brazil

Lima, Francisco José Lopes de; Martins, Fernando Ramos; Costa, Rodrigo Santos; Gonçalves, André Rodrigues; Santos, Ana Paula Paes dos; Pereira, Enio Bueno

doi:10.1016/j.seta.2019.08.006

Cited by 30 publications

(17 citation statements)

References 39 publications

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“…To reduce losses by temperature (8-15% in the module [85]), we will install spacers to allow 15-20 mm of space between PV modules to allow air circulation and cooling down the PV plant. Many investigations have proved the yearly average daily solar to increase over the years [86,87]. However, we assumed that the observed irradiance remained constant for the following years of analysis (this being a conservative hypothesis).…”

Section: Monthly and Yearly Variation In Energy Produced In Pv Arraysmentioning

confidence: 99%

Converting a Water Pressurized Network in a Small Town into a Solar Power Water System

Pardo

Fernández²,

Jódar-Abellán

2020

Energies

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The efficient management of water and energy is one challenge for managers of water pressurized systems. In a scheme with high pressure on the environment, solar power appears as an opportunity for nonrenewable energy expenditure reduction and emissions elimination. In Spain, new legislation that eliminates old taxes associated with solar energy production, a drop in the cost of solar photovoltaic modules, and higher values of irradiance has converted solar powered water systems into one of the trendiest topics in the water industry. One alternative to store energy (compulsory in standalone photovoltaic systems) when managing pressurized urban water networks is the use of head tanks (tanks accumulate water during the day and release it at night). This work intends to compare the pressurized network running as a standalone system and a hybrid solution that incorporates solar energy supply and electricity grids. The indicator used for finding the best choice is the net present value for the solar power water system lifespan. This study analyzed the possibility of transferring the energy surplus obtained at midday to the electricity grid, a circumstance introduced in the Spanish legislation since April 2019. We developed a real case study in a small town in the Alicante Province, whose findings provide planning policymakers with very useful information in this case and similar case studies

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Section: Monthly and Yearly Variation In Energy Produced In Pv Arraysmentioning

confidence: 99%

Converting a Water Pressurized Network in a Small Town into a Solar Power Water System

Pardo

Fernández²,

Jódar-Abellán

2020

Energies

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“…Lima et al. [1] describe the patterns and seasonal variability identified for each of the five areas.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“…The research results and conclusions were published in the article: “The Seasonal Variability and Trends for the Surface Solar Irradiation in the Northeastern Region of Brazil” [1].…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

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Data generated by evaluating the seasonal variability and trend analysis of the solar energy resource in the Northeastern Brazilian region

et al. 2019

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The solar radiation is the primary energy resource for several human activities. Nowadays, the environmental issues and climate concerning are boosting the substitution of fossil fuel resources by renewable energy resources, including the adoption of solar energy for power generation. Although the solar power stands for 0.2% of the Brazilian electricity mix, the solar energy resource in the Northeastern Brazilian region (NEB) is higher than in countries where the solar energy market is already consolidated. Nowadays, it is crucial to deepen the comprehension of solar resource time and spatial variability in NEB to support and promote the solar energy market and save water to other purposes than power generation. The paper presents the data generated by Lima et al. (2019). The database, based on meteorological observations at 129 automated weather stations, provides reliable information on the spatial and seasonal variability of the incoming solar irradiation in NEB.

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“…The Brazilian territory has a high solar incidence availability, with a vast area close to the equator and without significant variations in the day's solar duration [19]. The semi-arid region has the most significant aptitude for installing solar power plants [20][21][22][23][24][25]. Between the two solar energy generation technologies, the Brazilian government has initially prioritized PV instead of concentrated solar power [26].…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing for Monitoring Photovoltaic Solar Plants in Brazil Using Deep Semantic Segmentation

et al. 2021

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Brazil is a tropical country with continental dimensions and abundant solar resources that are still underutilized. However, solar energy is one of the most promising renewable sources in the country. The proper inspection of Photovoltaic (PV) solar plants is an issue of great interest for the Brazilian territory’s energy management agency, and advances in computer vision and deep learning allow automatic, periodic, and low-cost monitoring. The present research aims to identify PV solar plants in Brazil using semantic segmentation and a mosaicking approach for large image classification. We compared four architectures (U-net, DeepLabv3+, Pyramid Scene Parsing Network, and Feature Pyramid Network) with four backbones (Efficient-net-b0, Efficient-net-b7, ResNet-50, and ResNet-101). For mosaicking, we evaluated a sliding window with overlapping pixels using different stride values (8, 16, 32, 64, 128, and 256). We found that: (1) the models presented similar results, showing that the most relevant approach is to acquire high-quality labels rather than models in many scenarios; (2) U-net presented slightly better metrics, and the best configuration was U-net with the Efficient-net-b7 encoder (98% overall accuracy, 91% IoU, and 95% F-score); (3) mosaicking progressively increases results (precision-recall and receiver operating characteristic area under the curve) when decreasing the stride value, at the cost of a higher computational cost. The high trends of solar energy growth in Brazil require rapid mapping, and the proposed study provides a promising approach.

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The seasonal variability and trends for the surface solar irradiation in northeastern region of Brazil

Cited by 30 publications

References 39 publications

Converting a Water Pressurized Network in a Small Town into a Solar Power Water System

Converting a Water Pressurized Network in a Small Town into a Solar Power Water System

Data generated by evaluating the seasonal variability and trend analysis of the solar energy resource in the Northeastern Brazilian region

Remote Sensing for Monitoring Photovoltaic Solar Plants in Brazil Using Deep Semantic Segmentation

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