Forecast of the electrical energy demand of N’Djamena, Chad, based on the statistical method

Kriga, Adoum; Désiré, Allassem; Abanda, André; Adile, Adoum Danao; Dari, Yaya Dagal; Kenmogné, Fabien

doi:10.30574/wjarr.2023.17.1.0073

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…where α j are the Lagrangian multipliers, while M is the number of the low order moments used, and where P is the irradiance distribution. This density function is obtained by minimizing the Shannon's entropy, following the well-known Carla et al principles [10][11][12][13][14], suggesting the following constraints:…”

Section: Statistical Analysis Using the Maximum Entropy Principlementioning

confidence: 99%

Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad

Ali,

Nediguina,

Kriga

et al. 2024

JEECE

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The comparative study of the solar powers between two main cities of Chad is performed in the present work, the city of Mongo in the Centre and that of Pala in the South, with an aim of knowing which one of the two cities is more adequate for an installation of the solar power station, taking into account the regional climatic and environmental conditions of both cities. To do this, the graphical statistical analysis of long-term solar irradiance data and temperature is performed. The data used is that of the decade (2010-2020), based on solar radiation data handed by the National Aeronautics and Space Administration (NASA) and Photovoltaic Geographical Information System (PGIS) for Mongo in the centre and Pala in the south of Chad. The shape of the mean monthly irradiation has been plotted and has been approximated using the sinusoidal function through the mean square analysis. The temperature data has been also obtained by the same process and plotted versus irradiance in order to find the adequate mathematical relationship between them. For the statistical analysis, the maximum entropy principle has been used. As results, it is found that the maximum irradiance is obtained in March, which are 226.26kWh/m2 for Pala and 219.355kWh/m2 for Mongo, while the minimum irradiances are obtained in August, which are 151.67kWh/m2 for Pala and 158.9kWh/m2 for Mongo. The temperature data is also obtained and the mean monthly data plotted, showing that apart for the months of March and April, the the shapes of irradiation and temperatures are similar for both sites. Then it is found that the frequency and probability density distributions reach their maximum at the same dates.

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Section: Statistical Analysis Using the Maximum Entropy Principlementioning

confidence: 99%

Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad

Ali,

Nediguina,

Kriga

et al. 2024

JEECE

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Exploring the Potential of Producing Biomass Energy from Agricultural Residues in Chad

Omer Salih Eissa

2024

TURKAGER

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This study investigates the potential for generating biomass energy from agricultural residues in Chad. Biomass energy, derived from organic materials, is a renewable and sustainable energy source that can significantly contribute to the energy needs of many countries. In Chad, a country with a predominantly agrarian economy, agricultural residues present a promising opportunity for biomass energy production. The biomass energy production from agricultural residues in Chad holds significant potential to contribute to the country’s energy needs while promoting sustainable development. The country possesses abundant agricultural resources, with substantial residues remaining after harvest, including sorghum stalks, maize stalks, millet straw, and rice straw, often underutilized. These residues can be converted into biofuels like biogas through anaerobic digestion or burned directly to produce heat and electricity. Using data from the Food and Agriculture Organization Statistical Database of the United Nations (FAOSTAT) for 2021, the annual production of agricultural residues was quantified, and their energy potential was calculated based on the residue-to-product ratio and the calorific values of specific residues. The major crops contributing to the total residue amount in Chad are sorghum (56.50%), rice (17.72%), maize (13.31%), millet (6.70%), and dry beans (5.37%). The total amount of agricultural residues in Chad, including annual crop residues, was calculated to be about 18.1 kilotons (kt). The study reveals that the total energy potential of these residues is approximately 252.5 terajoules (TJ) for the 2021 production period in Chad.

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Forecast of the electrical energy demand of N’Djamena, Chad, based on the statistical method

Cited by 2 publications

References 16 publications

Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad

Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad

Exploring the Potential of Producing Biomass Energy from Agricultural Residues in Chad

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