Centric Data Analytics Framework for Solar Energy Efficiency in the Rural Settings
Asian Journal of Research in Computer Science,
Climate change periodically, and one of its natural causes is solar variation. Solar energy generation is now gaining more attention in developed nations, and its usefulness is becoming acceptable in rural settings. This research focused on Centric Data Analytics Framework for Solar Energy Efficiency called DAFSEE to solve power supply deficiency in resource-limited settings in Kwara State. Statistically, resource-limited regions feature a low population with a shortfall of social amenities. Significantly, households in urban areas have more electricity consumption than rural ones, making solar energy more relevant. The researcher then determined the efficiency of solar energy in the selected regions over time using an experimental study using cloud computing to create a dataset in six geo-locations in Kwara State. A predictive model was adopted and yielded 98.99% from the recurring analytics of the installed solar cells. The outcome of this study suggested best practices to sustain renewable energy in the area across all seasons. The study provides a starting point to distil policy implications for a centric analytics framework of improving rural electrification relevant for collective resource-limited settings across Nigeria.
- Centric data
- energy efficiency
- solar energy
- solar cells
How to Cite
Goyal Nihit. Explaining policy success using the multiple streams framework: Political Success Despite Programmatic Failure of the Solar Energy Policy in Gujarat, India. Politics & Policy; 2021.
Bose Debajyoti, et al. Decentralized solar energy access and assessment of performance parameters for Rural Communities in India. Sustainability and Climate Change. 2021;14(2):103-114
Jain S, Agarwal V. An integrated hybrid power supply for distributed generation applications fed by non conventional energy sources, IEEE Transactions on Energy Conversion. 2008;23(2):622-631.
Tidwell Jacqueline Hettel, Abraham Tidwell. Decarbonizing via disparities: Problematizing the relationship between social identity and solar energy transitions in the United States. Energy Research & Social Science. 2021;77:102099.
Abikoye OE, Adeyinka CO, Olaboye YO. Evaluation of solar powered water pumping system. The Ninth International Conference on Applications of Information Communication Technologies to Teaching, Research and Administration.
Ehiagwina, Frederick Ojiemhende, et al. Development of a solar energy tracking mechanism with artificial neural network enhancement.
Kehinde, Olufemi Olusola, et al. Photovoltaic cell output voltage variations with time and inclination angle. IOSR J Electr Electron Eng. 2016;11:40-47.
Afolabi LO, et al. Prediction of solar radiation patterns for sustainable implementation of solar power generation. Ann. Fac. Eng. Hunedoara. 2017;15:153-160.
Ahmed NA, Miyatake M. A stand-alone hybrid generation system combining solar photovoltaic and wind turbine with simple maximum power point tracking control, Proceedings IEEE IPEMC. 2006;1-7.
Koutroulis E, Kalaitzakis K, Voulgaris NC. Development of a microcontroller-based photovoltaic maximum power point tracking control system, IEEE Transactions on Power Electronics. 2001;16(1):46- 54.
Lemence Allen Lemuel G, Mili-Ann M Tamayao. Energy consumption profile estimation and benefits of hybrid solar energy system adoption for rural health units in the Philippines. Renewable Energy. 2021;178:651-668.
Khare V, Nema S, Baredar P. Status of solar wind renewable energy in India, Renewable and Sustainable Energy Reviews. Hybrid Optimization Model for Electric Renewable (HOMER). 2013;27:1-10.
Arifujjaman M, Iqbal MT, Quaicoe JE, Khan MJ. Modeling and control of a small wind turbine, Proceedings of Canadian Conference on Electrical and Computer Engineering. 2005;778-781.
Chauhan A, Saini RP. Renewable energy based off-grid rural electrification in Uttarakhand state of India: Technology options, modeling method, barriers and recommendations, Elsevier’s Renewable and Sustainable Energy Reviews. 2015; 51:662-681.
Zolkapli M, et al. High-efficiency dual-axis solar tracking developement using Arduino. 2013 International Conference on Technology, Informatics, Management, Engineering and Environment. IEEE; 2013.
Joshi K, Ashok, A Chandel S. Optimal Economic Analysis of Hybrid Renewable Energy System, Proceedings IEEE ICACCA (Spring), Dehradun, India; 2016.
Khan MJ, Iqbal MT. Pre-feasibility study of stand-alone hybrid energy systems for applications in Newfoundland, Renewable Energy. 2005;30(6):835- 854.
NASA Surface Meteorology and Solar Energy [Online].
Available:http://eosweb.larc.nasa.gov/sse/ , Wind Power in India, Wikipedia, the Free Encyclopedia
Roth Lucas, Özgür Yildiz, Jens Lowitzsch. An Empirical Approach to Differences in Flexible Electricity Consumption Behaviour of Urban and Rural Populations—Lessons Learned in Germany. Sustainability. 2021;13(16):9028.
Celik AN. The system performance of autonomous photovoltaic-wind hybrid energy systems using synthetically generated weather data, Renewable Energy. 2002;27:107-121.
Raza Muhammad Yousaf, Muhammad Wasim, Muhammad Sohail Sarwar. Development of Renewable Energy Technologies in rural areas of Pakistan. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2020;42(6):740-760.
Syahputra Ramadoni, Indah Soesanti. Renewable energy systems based on micro-hydro and solar photovoltaic for rural areas: A case study in Yogyakarta, Indonesia. Energy Reports. 2021;(7):472-490.
Daher Daha Hassan, Léon Gaillard, Christophe Ménézo. Experimental assessment of long-term performance degradation for a PV power plant operating in a desert maritime climate. Renewable Energy. 2022;187:44-55.
Shahabuddin M, et al. A critical review on the development and challenges of concentrated solar power technologies. Sustainable Energy Technologies and Assessments. 2021;47:101434.
Al-Shahri Omar A, et al. Solar photovoltaic energy optimization methods, challenges and issues: A comprehensive review. Journal of Cleaner Production. 2021;284: 125465.
Abstract View: 55 times
PDF Download: 18 times