IJLRET Menu
[Vol. 07, No. 03] [March 2021]
- Citation
- Abstract
- Reference
- PDF Download
| Paper Title | :: | An Analysis of the Relationship between Maximum Daily Temperatures and Maximum Ozone Concentrations in México City 2010 - 2020. A Bivariate Approach |
| Author Name | :: | M. Sc. Zenteno Jiménez José Roberto |
| Country | :: | Mexico |
| Page Number | :: | 01-17 |
The following article deals with the analysis of the daily Maximum Temperatures of Mexico City and its relationship with the Maximum Ozone Concentrations in México City itself, based on its Bivariate behavior and a Gaussian mixing analysis to see the corresponding variability between both. events.
Key Words: Bivariate Distribution Function, Covariance Matrix, Gaussian Distribution Function and Stochastic Gaussian Mixture.
Key Words: Bivariate Distribution Function, Covariance Matrix, Gaussian Distribution Function and Stochastic Gaussian Mixture.
[1]. Berger, J. O., Statistical Decision Theory and Bayesian Analysis, Springer Ser. Stat., 2nd ed., Springer- Verlag, New York, 1985.
[2]. Li,Z. Applications of Gaussian Mixture Model to Weather Observations. IEEE Geoscience and Remote Sensing Letters ( Volume: 8, Issue: 6, Nov. 2011 ) McLachlan, G. & Peel, D. Finite Mixture Models.
[3]. Robert, C. P., The Bayesian Choice: A Decision-Theoretic Motivation, Springer Ser. Stat., Springer- Verlag, New York, 1994.
[4]. Ryan Prescott Adams and David J.C. MacKay, Bayesian Online Changepoint Detection, University of Cambridge, https://arxiv.org/abs/0710.3742
[5]. Zenteno Jimenez J R. International Journal of LatestResearch in Engineering and Technology(IJLRET) Analysis of Nitrogen Dioxide Concentrations by Probability Distribution Function and Ozone precursor an analysis by Bayesian Inference for Mexico City Trend: 2010-2020 http://www.ijlret.com/Papers/Vol-06-issue-07/2.B2020117.pdf
[2]. Li,Z. Applications of Gaussian Mixture Model to Weather Observations. IEEE Geoscience and Remote Sensing Letters ( Volume: 8, Issue: 6, Nov. 2011 ) McLachlan, G. & Peel, D. Finite Mixture Models.
[3]. Robert, C. P., The Bayesian Choice: A Decision-Theoretic Motivation, Springer Ser. Stat., Springer- Verlag, New York, 1994.
[4]. Ryan Prescott Adams and David J.C. MacKay, Bayesian Online Changepoint Detection, University of Cambridge, https://arxiv.org/abs/0710.3742
[5]. Zenteno Jimenez J R. International Journal of LatestResearch in Engineering and Technology(IJLRET) Analysis of Nitrogen Dioxide Concentrations by Probability Distribution Function and Ozone precursor an analysis by Bayesian Inference for Mexico City Trend: 2010-2020 http://www.ijlret.com/Papers/Vol-06-issue-07/2.B2020117.pdf
- Citation
- Abstract
- Reference
- PDF Download
| Paper Title | :: | Investigation of the Nigerian Power Network with Solar Photovoltaic System |
| Author Name | :: | Fasina Emmanuel Taiwo |
| Country | :: | Nigeria |
| Page Number | :: | 18-26 |
The demand for electric power is growing at a rapid rates in Nigeria, and the available conventional generation is not sufficient to meet this rising demand. Therefore, solar photovoltaic (PV) systems are been considered as alternative source of power generation. This paper presents a case study investigating the effect of solar PV on the Nigerian power system using power flow analysis method. Various solar PV penetration levels are connected to the network and the power flow results are presented. The results showed that before application of solar PV, there is under voltage in some of the buses of the system but were improved to safe operation values with the application of PV system. Also, the total system power loss was reduced by 19.26%. In this way, the power system becomes more secured and reliable.
Key Words: Network losses, Power flow, Renewable generation, Solar photovoltaic, Voltage profile
Key Words: Network losses, Power flow, Renewable generation, Solar photovoltaic, Voltage profile
[1] International Energy Agency (IEA), ―Energy and climate change,‖ World Energy Outlook Special Report OECD/IEA PARIS, 2015.
[2] SE4ALL, ―Sustainable energy for all: action agenda & investment prospectus implementation,‖ in Presented At the 3rd Annual Workshop on Advancing SE4All Country Action in Africa Abidjan – Cote D’Ivoire 9th -12th February 2016, 2016.
[3] NERC, ―Regulation on Feed-in tarif for renewable energy sourced electricity in Nigeria,‖ 2005.
[4] B. Bayer, et al., ―The German experience with integrating photovoltaic systems into the low-voltage grids,‖ Renewable Energy, vol. 119, pp. 129–141, Apr. 2018, doi: 10.1016/j.renene.2017.11.045.
[5] B. Kroposki et al., ―Achieving a 100% Renewable Grid,‖ IEEE Power and Energy Magazine, pp. 61–73, 2017.
[2] SE4ALL, ―Sustainable energy for all: action agenda & investment prospectus implementation,‖ in Presented At the 3rd Annual Workshop on Advancing SE4All Country Action in Africa Abidjan – Cote D’Ivoire 9th -12th February 2016, 2016.
[3] NERC, ―Regulation on Feed-in tarif for renewable energy sourced electricity in Nigeria,‖ 2005.
[4] B. Bayer, et al., ―The German experience with integrating photovoltaic systems into the low-voltage grids,‖ Renewable Energy, vol. 119, pp. 129–141, Apr. 2018, doi: 10.1016/j.renene.2017.11.045.
[5] B. Kroposki et al., ―Achieving a 100% Renewable Grid,‖ IEEE Power and Energy Magazine, pp. 61–73, 2017.