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©NIJEP OPEN ACCESS
Publications ISSN: 2992-5487
© Eze et al
This is an Open Access article distributed under the terms of the Creative Commons Attribution
License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Page | 93
NEWPORT INTERNATIONAL JOURNAL OF ENGINEERING
AND PHYSICAL SCIENCES (NIJEP)
VOLUME 3 ISSUE 2 2023
A Systematic Review of Renewable Energy Trend
Eze Val Hyginus Udoka1, *
, Enerst Edozie2
, Kalyankolo Umaru3
, Ugwu
Chinyere N4
, Okafor O. Wisdom5
, Ogenyi, Fabian Chukwudi6
, Ritah
Nafuna7
, Nansukusa Yudaya8
, Wantimba Janat9
1,2,9
Department of Electrical, Telecommunication and Computer
Engineering, Kampala International University, Uganda.
1,4,6
Department of Publication and Extension, Kampala International
University, Uganda.
5
Department of Computer Science and Technology, University of
Bedfordshire, Luton, England.
3,7,8
Department of Computer Science and Electrical Engineering, Muni
University, Uganda.
*Corresponding Author, E-mail: ezehyginusudoka@gmail.com
ABSTRACT
This paper systematically and successfully reviewed the renewable energy trend from 2010 to 2023. This review
detailed the difference renewable energy and conclusion was drawn that solar photovoltaic (PV) energy has the
leading trend in power generation growth and innovation. This research work explained in detail the most recent
solar photovoltaic optimization techniques and it was observed from the review that hybridization of intelligent and
non-intelligent maximum power point tracking technique has the best tracking power conversion efficiency. The
advantages and disadvantage of solar PV together with the solar optimization and innovational growth trends were
examined. This research showed that clean and renewable energy sources will continue to grow and the solar energy
industry is expected to experience significant growth and rapid innovation in the next 10 years. From the observed
rapid growth and innovation trend in solar energy, the world will have a very cheap, abundant and clean energy
before 2050.
Keywords: Renewable, Energy, Trend and fossil fuels
INTRODUCTION
The largest contributing sectors for the increase of emissions are electricity, transportation, manufacturing
industries and agriculture. With a share of 31% of global emissions, the eagerness to control such through
transportation and electricity cannot be underestimated. Their emissions are mainly resulting from the burning of
fossil fuels such as coal and gas which need to be replaced by cleaner source of energy (Renewable energy). Therefore,
as part of the available solutions, renewable power technologies will play a key part in the transition toward a net-
zero emission economy [1]. Renewable energy covers all forms of energy generated from natural resources such as
sunlight, wind, water (or hydro power), tide, geothermal heat, biomass and biofuels. They are derived from natural
processes that are constantly replenished and each of them has characteristics that determine where and how they
are being used [2]. The unit cost of the low-emission technologies has fallen continuously since 2010 due to
©NIJEP OPEN ACCESS
Publications ISSN: 2992-5487
© Eze et al
This is an Open Access article distributed under the terms of the Creative Commons Attribution
License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Page | 94
innovations and policy packages that have enable their deployment. Within the range of renewables, solar
photovoltaics’ (PV) cost has experienced a 90% reduction in the last 13 years, which has allowed for exponential
growth and a global cumulative capacity reaching 920 GW in 2021. Driven by a technological and financial maturity,
solar PV is now a leading actor in the decarburization plan of most countries [1]. It has been predicted that PV cells
will deliver about 1081GW by the year 2030 [2]. The quest to urgently reduce the global emissions has been the
trending research channel for researchers of the 21st century. The 2021 Intergovernmental Panel on Climate Change
(IPCC) warned that the global greenhouse gas emission (GHG) in 2019 were 12% higher than in 2010 and 54%
higher than in 2019. The panel also highlighted that the average global temperature is expected to reach or exceed
1.5°C warming by 2040. The consequences are increasingly visible with more frequent heat waves, floods, forest
fires and others natural disasters with drastic impacts on populations [1]. This paper will systematically review the
solar PV technologies and its optimization techniques from 2010 to 2023. The paper will be subdivided into four
section; section two will review the solar PV technologies and optimizations techniques, section three will detail the
Solar Energy Trends and Its Prospects and it will finally end with conclusion
Solar Photovoltaic Technologies and Optimization Techniques
In this paper, the mathematical modelling of a solar PV cell has been discussed along with the governing equations
behind the characteristic curves. Here the single diode model of the solar PV cell has been used for modelling
purpose. The advantage of the double diode model is that it takes into consideration the space charge distribution of
the PV cell. But the single diode model gives fairly accurate results. The advantage of modelling a solar cell in
computer based software is that the model can further be used in solar panel implementation of other models by
varying the simulation parameters. As a result, a prior knowledge can be attained before the practical
implementation of the same. The point of interest of the characteristic curves of a solar PV cell is the Maximum
Power Point (MPP). Different algorithms for tracking the MPP require the model of the solar PV cell for simulation.
The model used for simulation can be very useful for designing controllers/compensators to track the MPP and for
larger power system [3]. This research paper in [4] classified solar energy based on technology and optimizations.
This paper discussed solar energy based Polycrystalline Solar Cell (Multi-Si), Polycrystalline Solar Cell (Multi-Si),
Amorphous Silicon Solar Cells (a-Si), Multi-Junction Solar Cell (M-J), Quantum Dot Solar Cells (QDSC), Dye-
Sensitized Solar Cells (DSSC), Perovskite Solar Cells (PSC). This paper also categorized optimization into
intelligent, non-intelligent and hybrid type of maximum power point tracking [4]. The paper reviewed Smart Grid
data center topologies and identified prospects in spine-leaf architecture as a promising architecture that can be
adapted in a smart grid ecosystem data center design. This paper concluded that based on the evaluated literature,
the need for more built-in predictive learning curves in smart grid systems and robust Smart grid architecture with
enhanced data Centre design for Smart grid systems is observed and recommended [5]. Another researcher in [6]
predicted that a lower load in grid results in utilities not transmitting the actual generated units and therefore
incurring higher costs due to the use of peak power plants. Furthermore, predicting a higher load than actual load
will result in higher costs because unnecessary baseline units are stated and not used. This research work designed
an Artificial Neural Networks (ANNs) which provides an accurate approach to the problem of energy forecasting
and have the advantage of not requiring the user to have a clear understanding of the underlying mathematical
relationship between input and output [6].
A solar photovoltaic material for fabrications and optimizations were developed and effectively discussed in this
papers. A non-toxic materials that can substitute lead in solar perovskites fabrication which many materials such as
Tin-based Perovskites (MASnX3), Bismuth-based perovskite (MA)3Bi2I9, Germanium-based perovskites (AGeI3),
Bismuth-based double perovskite (Cs2AgBiBr6) and Copper-based perovskites ((MA)2CuCl2 Br2) were suggested as
a potential replacement was discussed in [7]. Methods and ways of improving the efficiency and stability of in-air
fabricated perovskite solar cells using the mixed anti-solvent of methyl acetate and chloroform was reviewed in [8]
and finally Optimum silver contact sputtering parameters for efficient perovskite solar cell fabrication was
extensively discussed in [9]. The sun has the most abundant sources of energy which can be utilized for its thermal
properties which can be converted to more versatile electrical energy. This research paper in [10] presented
theoretical research on the nature of solar energy and its uses, future methods of harnessing and limitations. It
showed different ways at which solar energy can be harnessed practically and as well proposed likely the emerging
technology and their limitations. This research work reviewed various solar thermal power plants and compared
them according to performance and technology and from the thermal review it was concluded that parabolic trough
concentrator is more efficient when compared with linear Fresnel reflectors. In addition to solar thermal power
plants, solar energy can be directly converted to electricity using PV modules. From this research work in [11] it
concluded that PV systems are more applicable for small- scale power generation and have higher output electricity
compared with CSP plants in the same area of installation. However, CSP plants have some advantages such as
©NIJEP OPEN ACCESS
Publications ISSN: 2992-5487
© Eze et al
This is an Open Access article distributed under the terms of the Creative Commons Attribution
License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Page | 95
better economic return and lower CO2 emission [12]. The usage of renewable energy sources has reduced the high
rate of pollutant emissions into the atmosphere. The sun is about 1.4 million km in diameter and 150 million km
from the earth. It is close to 5500°C at its surface and emits radiation at a rate of 3.8 × 1023kW. This power is due
to nuclear fusion reactions near its core going to continue for several billion years. Exploration of solar energy plays
a vital role in developed and developing countries like Nigeria, Uganda (Africa) where the energy problem is very
serious, despite of discoveries and abundantness of oil and gas off the west coast [13] [14].
The sequential evolution of solar photovoltaic maximum power point tracking (MPPT) techniques were reviewed,
developed and discussed by [15]–[17]. Many tracking techniques were discussed based on intelligent (Particle
swarm optimization (PSO), Artificial Neural Network (ANN) etc), non-intelligent (Incremental Conductance (IC),
Perturb and Observe (P&O), Optimized Adaptive Differential conductance (OADC)) and hybrid (Perturb and
Observe and Balanced Optimized PSO [16], Optimized Adaptive Differential Conductance and Particle Swarm
Optimization)). These optimization techniques serve as guide for solar photovoltaic designers and developers on the
latest optimization technique and the appropriate one to be adopted during design and installation.
In [2] The paper discusses the solar energy potential for sustainable energy generation in Nigeria, the numerous
issues involved in harnessing solar energy and clearly articulates a road map to enable Nigeria tap into this huge
potential. Research indicate that, Nigeria lying in the tropics, receives abundant sunshine where about 1500PJ could
be available to Nigeria annually from solar energy. Due to the numerous disadvantages of conventional fuel sources
when compared with solar energy and the recent giant strides in improving solar cell efficiency using a photovoltaic
(PV) device that converts 40.8% of light that hits it into electricity, Nigeria needs to reposition herself by investing
in this invaluable resource to secure the energy future of our economy [18].
Table1: Summary of the MPPT Techniques from 2010-2023
©NIJEP OPEN ACCESS
Publications ISSN: 2992-5487
© Eze et al
This is an Open Access article distributed under the terms of the Creative Commons Attribution
License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Page | 96
Table 1 summarized the solar photovoltaic optimization techniques and from the summary it was observed that the
best technique for solar photovoltaic optimization is hybridization of intelligent and non-intelligent techniques with
very simple circuit.
Figure 1. Renewable Sources of Energy and their Generated Power from 2020-2023 [19]
Figure 1 showed the energy generated by difference renewable energy sources, it was clearly observed that solar
has the leading trend. It was observed from figure 1 that the most leading renewable energy in 2023 are solar, wind,
nuclear and gas whereas hydro and coal are diminishing with respect to the years. Solar photovoltaic has the
brightest prospect among all the renewable sources of energy and with this rapid increase will make a very great
history in energy sector before 2050. The second is wind which is still in the performance level of solar in the year
2020 and with this it may still be among the trending one as it decreased in 2021 and picked up in 2022 and 2023.
Solar Photovoltaic Components and Its Classifications
The Photovoltaic system can be classified into two parts which are the PV array (PV panels and support structures)
and the Balance-of-System (BoS) components (storage batteries, Charge controllers, inverters and wirings). There
are four basic components of a solar power system: Solar Panels, Charge Controller, Batteries, Power Inverter
[20][21][22].
i. Solar panels: solar panel is made up of individual solar cells that are connected in series and parallels
to form a solar module. Multiple connected solar modules forms solar array. Figure 2 is a typical
example of cells connected to form modules and modules connected for form arrays.
Figure 2: A connected PV Cells, Module and array [21]
ii. Batteries: Deep Cycle Batteries are needed for the storage of electricity, but more specialized batteries
such as Tubular batteries are also gaining popularity for larger applications.
©NIJEP OPEN ACCESS
Publications ISSN: 2992-5487
© Eze et al
This is an Open Access article distributed under the terms of the Creative Commons Attribution
License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Page | 97
iii. Charge Controllers: Charge Controllers are used in preventing overcharge of the battery and high
voltage which may damage the battery. There are many technologies used in battery charging such as
Pulse Width Modulation (PWM) technique and the best charge controller makes use of optimization
technique called Maximum Power Point Tracking (MPPT) technique [23]
iv. Power Inverters: The electricity produced by the PV panel is Direct Current (usually 12V, 24V, or
48V, etc.), which is then converted to Alternating Current (AC).
Advantages of Solar Energy
1. Low running cost
2. No Monthly Bills
3. It is renewable
4. Low Maintenance Cost
5. Environmental friendly
6. Source of Income
7. Value-Added Property
8. Improving Technology
9. Improves the Economy
10. Job provision
Disadvantages of Solar Energy
1. It is expensive to setup
2. Intermittent in a cloudy weather
3. Low Efficiency
4. Occupy more space
5. Dependency on Latitude
Solar Energy Trends and Its Prospects
As the quest for clean and renewable energy sources continues to grow, the solar energy industry is expected to
experience significant growth and rapid innovation from 2023 upwards. The solar energy trends that are expected
to shape the renewable energy industry in the future are as follow:
1. Growth of large-scale solar farms: The growth of large-scale solar farms is expected to continue in
2023 as more countries increased their investment in renewable energy. Solar farms can provide a cost-
effective and scalable source of clean energy, helping to reduce reliance on fossil fuels and improve
energy security.
2. Expansion of rooftop solar panels: The installation of rooftop solar panels is expected to continue to
expand the more from 2023, particularly as more households and businesses look to reduce their energy
costs and improve their environmental footprint. Rooftop solar panels can provide a cost-effective
source of clean energy and can help to reduce dependence on the grid.
3. Adoption of energy storage solutions: Energy storage solutions, such as batteries, are expected to
become increasingly widespread in 2023. Energy storage solutions can help to improve energy security
and reduce dependence on the grid, while also enabling more effective use of renewable energy sources.
4. Growth of community solar: Community solar, which allows multiple households or businesses to
share a single large-scale solar installation, is expected to continue to grow in 2023. Community solar
can help to make solar energy more accessible and affordable, while also promoting community
engagement and environmental awareness.
5. Expansion of off-grid solar: Off-grid solar, which provides electricity to communities and individuals
that are not connected to the grid, is expected to continue to grow in 2023. Off-grid solar can help to
bring electricity to remote or rural areas and support economic growth and development.
6. Increased use of smart grid technology: Smart grid technology, which allows for the intelligent
management of energy supply and demand, is expected to become increasingly widespread in 2023.
Smart grids can help to improve energy efficiency, reduce energy waste, and promote the integration
of renewable energy sources into the grid.
7. Development of new financing models: New financing models, such as crowdfunding and micro-
financing, are expected to emerge in 2023, helping to make solar energy more accessible and affordable
for communities and individuals. These financing models can help to overcome the barriers to
investment and support the growth of the solar energy sector.
©NIJEP OPEN ACCESS
Publications ISSN: 2992-5487
© Eze et al
This is an Open Access article distributed under the terms of the Creative Commons Attribution
License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Page | 98
CONCLUSION
The rapid growth and innovation in solar photovoltaic/solar energy sector is quit overwarming as more households,
businesses, and countries embrace this clean and renewable source of energy. This showed that solar photovoltaic
and wind turbines have the highest trend of renewable energy growth and innovation. These trends are expected to
help reduce dependence on fossil fuels, improve energy security and final support the transition to a more sustainable
clean and cheap energy in future.
REFERENCES
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[3] B. K. Dey, I. Khan, M. N. Abhinav, and A. Bhattacharjee, Mathematical modelling and characteristic analysis
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mixed antisolvent of methyl acetate and chloroform. Organic Electronics, 107, 1–10, 2022, doi:
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[9] M. C. Eze et al., Optimum silver contact sputtering parameters for efficient perovskite solar cell fabrication.
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[12] K. Jäger, O. Isabella, A. H. M. S. R. A. C. M. M. van Swaaij, and M. Zeman, Solar Energy Fundamentals,
Technology, and Systems. 2014.
[13] A. R. Prasad, S. Singh, and H. Nagar, “Importance of Solar Energy Technologies for Development of Rural
Area in India,” IJSRST, 3(6), 585–599, 2017.
[14] M. Irfan, Z. Zhao, M. Ahmad, and M. C. Mukeshimana, Solar Energy Development in Pakistan : Barriers
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[15] V. H. U. Eze, M. C. Eze, C. C. Ogbonna, S. A. Ugwu, K. Emeka, and C. A. Onyeke, Comprehensive Review
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©NIJEP OPEN ACCESS
Publications ISSN: 2992-5487
© Eze et al
This is an Open Access article distributed under the terms of the Creative Commons Attribution
License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Page | 99
[20] N. O. Adelakun and A. O. Banji, “A Review Of Solar Energy,” Journal of Multidisciplinary Engineering Science
and Technology, 6(12), 11344–11347, 2019, doi: 10.2139/ssrn.3579939.
[21] V.H.U. Eze, Maximum Power Point Tracking of Polycrystalline Photovoltaic Cells Based on Optimized
Adaptive Differential Conductance Technique. University of Nigeria, Nsukka, 1-149, 2017
[22] Ugwu, C. N., & Eze, V. H. U. Qualitative Research. IDOSR of Computer and Applied Science, 8(1), 20–35, 2023
[23] V.H.U. Eze, E. C Eze, JI Odo, CC Udeze, Maximum Power Point Tracking of Polycrystalline Photovoltaic
Cells Based on Optimized Auto-Adaptive Differential Conductance Technique. 8th conference of National Solar
Energy Forum (NASEF), 3, 2018.
Eze Val Hyginus Udoka, Enerst Edozie, Kalyankolo Umaru, Ugwu Chinyere N, Okafor O. Wisdom, Ogenyi,
Fabian Chukwudi, Ritah Nafuna, Nansukusa Yudaya, Wantimba Janat (2023). A Systematic Review of
Renewable Energy Trend. NEWPORT INTERNATIONAL JOURNAL OF ENGINEERING AND
PHYSICAL SCIENCES (NIJEP) 3(2): 93-99.

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  • 1. ©NIJEP OPEN ACCESS Publications ISSN: 2992-5487 © Eze et al This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Page | 93 NEWPORT INTERNATIONAL JOURNAL OF ENGINEERING AND PHYSICAL SCIENCES (NIJEP) VOLUME 3 ISSUE 2 2023 A Systematic Review of Renewable Energy Trend Eze Val Hyginus Udoka1, * , Enerst Edozie2 , Kalyankolo Umaru3 , Ugwu Chinyere N4 , Okafor O. Wisdom5 , Ogenyi, Fabian Chukwudi6 , Ritah Nafuna7 , Nansukusa Yudaya8 , Wantimba Janat9 1,2,9 Department of Electrical, Telecommunication and Computer Engineering, Kampala International University, Uganda. 1,4,6 Department of Publication and Extension, Kampala International University, Uganda. 5 Department of Computer Science and Technology, University of Bedfordshire, Luton, England. 3,7,8 Department of Computer Science and Electrical Engineering, Muni University, Uganda. *Corresponding Author, E-mail: ezehyginusudoka@gmail.com ABSTRACT This paper systematically and successfully reviewed the renewable energy trend from 2010 to 2023. This review detailed the difference renewable energy and conclusion was drawn that solar photovoltaic (PV) energy has the leading trend in power generation growth and innovation. This research work explained in detail the most recent solar photovoltaic optimization techniques and it was observed from the review that hybridization of intelligent and non-intelligent maximum power point tracking technique has the best tracking power conversion efficiency. The advantages and disadvantage of solar PV together with the solar optimization and innovational growth trends were examined. This research showed that clean and renewable energy sources will continue to grow and the solar energy industry is expected to experience significant growth and rapid innovation in the next 10 years. From the observed rapid growth and innovation trend in solar energy, the world will have a very cheap, abundant and clean energy before 2050. Keywords: Renewable, Energy, Trend and fossil fuels INTRODUCTION The largest contributing sectors for the increase of emissions are electricity, transportation, manufacturing industries and agriculture. With a share of 31% of global emissions, the eagerness to control such through transportation and electricity cannot be underestimated. Their emissions are mainly resulting from the burning of fossil fuels such as coal and gas which need to be replaced by cleaner source of energy (Renewable energy). Therefore, as part of the available solutions, renewable power technologies will play a key part in the transition toward a net- zero emission economy [1]. Renewable energy covers all forms of energy generated from natural resources such as sunlight, wind, water (or hydro power), tide, geothermal heat, biomass and biofuels. They are derived from natural processes that are constantly replenished and each of them has characteristics that determine where and how they are being used [2]. The unit cost of the low-emission technologies has fallen continuously since 2010 due to
  • 2. ©NIJEP OPEN ACCESS Publications ISSN: 2992-5487 © Eze et al This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Page | 94 innovations and policy packages that have enable their deployment. Within the range of renewables, solar photovoltaics’ (PV) cost has experienced a 90% reduction in the last 13 years, which has allowed for exponential growth and a global cumulative capacity reaching 920 GW in 2021. Driven by a technological and financial maturity, solar PV is now a leading actor in the decarburization plan of most countries [1]. It has been predicted that PV cells will deliver about 1081GW by the year 2030 [2]. The quest to urgently reduce the global emissions has been the trending research channel for researchers of the 21st century. The 2021 Intergovernmental Panel on Climate Change (IPCC) warned that the global greenhouse gas emission (GHG) in 2019 were 12% higher than in 2010 and 54% higher than in 2019. The panel also highlighted that the average global temperature is expected to reach or exceed 1.5°C warming by 2040. The consequences are increasingly visible with more frequent heat waves, floods, forest fires and others natural disasters with drastic impacts on populations [1]. This paper will systematically review the solar PV technologies and its optimization techniques from 2010 to 2023. The paper will be subdivided into four section; section two will review the solar PV technologies and optimizations techniques, section three will detail the Solar Energy Trends and Its Prospects and it will finally end with conclusion Solar Photovoltaic Technologies and Optimization Techniques In this paper, the mathematical modelling of a solar PV cell has been discussed along with the governing equations behind the characteristic curves. Here the single diode model of the solar PV cell has been used for modelling purpose. The advantage of the double diode model is that it takes into consideration the space charge distribution of the PV cell. But the single diode model gives fairly accurate results. The advantage of modelling a solar cell in computer based software is that the model can further be used in solar panel implementation of other models by varying the simulation parameters. As a result, a prior knowledge can be attained before the practical implementation of the same. The point of interest of the characteristic curves of a solar PV cell is the Maximum Power Point (MPP). Different algorithms for tracking the MPP require the model of the solar PV cell for simulation. The model used for simulation can be very useful for designing controllers/compensators to track the MPP and for larger power system [3]. This research paper in [4] classified solar energy based on technology and optimizations. This paper discussed solar energy based Polycrystalline Solar Cell (Multi-Si), Polycrystalline Solar Cell (Multi-Si), Amorphous Silicon Solar Cells (a-Si), Multi-Junction Solar Cell (M-J), Quantum Dot Solar Cells (QDSC), Dye- Sensitized Solar Cells (DSSC), Perovskite Solar Cells (PSC). This paper also categorized optimization into intelligent, non-intelligent and hybrid type of maximum power point tracking [4]. The paper reviewed Smart Grid data center topologies and identified prospects in spine-leaf architecture as a promising architecture that can be adapted in a smart grid ecosystem data center design. This paper concluded that based on the evaluated literature, the need for more built-in predictive learning curves in smart grid systems and robust Smart grid architecture with enhanced data Centre design for Smart grid systems is observed and recommended [5]. Another researcher in [6] predicted that a lower load in grid results in utilities not transmitting the actual generated units and therefore incurring higher costs due to the use of peak power plants. Furthermore, predicting a higher load than actual load will result in higher costs because unnecessary baseline units are stated and not used. This research work designed an Artificial Neural Networks (ANNs) which provides an accurate approach to the problem of energy forecasting and have the advantage of not requiring the user to have a clear understanding of the underlying mathematical relationship between input and output [6]. A solar photovoltaic material for fabrications and optimizations were developed and effectively discussed in this papers. A non-toxic materials that can substitute lead in solar perovskites fabrication which many materials such as Tin-based Perovskites (MASnX3), Bismuth-based perovskite (MA)3Bi2I9, Germanium-based perovskites (AGeI3), Bismuth-based double perovskite (Cs2AgBiBr6) and Copper-based perovskites ((MA)2CuCl2 Br2) were suggested as a potential replacement was discussed in [7]. Methods and ways of improving the efficiency and stability of in-air fabricated perovskite solar cells using the mixed anti-solvent of methyl acetate and chloroform was reviewed in [8] and finally Optimum silver contact sputtering parameters for efficient perovskite solar cell fabrication was extensively discussed in [9]. The sun has the most abundant sources of energy which can be utilized for its thermal properties which can be converted to more versatile electrical energy. This research paper in [10] presented theoretical research on the nature of solar energy and its uses, future methods of harnessing and limitations. It showed different ways at which solar energy can be harnessed practically and as well proposed likely the emerging technology and their limitations. This research work reviewed various solar thermal power plants and compared them according to performance and technology and from the thermal review it was concluded that parabolic trough concentrator is more efficient when compared with linear Fresnel reflectors. In addition to solar thermal power plants, solar energy can be directly converted to electricity using PV modules. From this research work in [11] it concluded that PV systems are more applicable for small- scale power generation and have higher output electricity compared with CSP plants in the same area of installation. However, CSP plants have some advantages such as
  • 3. ©NIJEP OPEN ACCESS Publications ISSN: 2992-5487 © Eze et al This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Page | 95 better economic return and lower CO2 emission [12]. The usage of renewable energy sources has reduced the high rate of pollutant emissions into the atmosphere. The sun is about 1.4 million km in diameter and 150 million km from the earth. It is close to 5500°C at its surface and emits radiation at a rate of 3.8 Ă— 1023kW. This power is due to nuclear fusion reactions near its core going to continue for several billion years. Exploration of solar energy plays a vital role in developed and developing countries like Nigeria, Uganda (Africa) where the energy problem is very serious, despite of discoveries and abundantness of oil and gas off the west coast [13] [14]. The sequential evolution of solar photovoltaic maximum power point tracking (MPPT) techniques were reviewed, developed and discussed by [15]–[17]. Many tracking techniques were discussed based on intelligent (Particle swarm optimization (PSO), Artificial Neural Network (ANN) etc), non-intelligent (Incremental Conductance (IC), Perturb and Observe (P&O), Optimized Adaptive Differential conductance (OADC)) and hybrid (Perturb and Observe and Balanced Optimized PSO [16], Optimized Adaptive Differential Conductance and Particle Swarm Optimization)). These optimization techniques serve as guide for solar photovoltaic designers and developers on the latest optimization technique and the appropriate one to be adopted during design and installation. In [2] The paper discusses the solar energy potential for sustainable energy generation in Nigeria, the numerous issues involved in harnessing solar energy and clearly articulates a road map to enable Nigeria tap into this huge potential. Research indicate that, Nigeria lying in the tropics, receives abundant sunshine where about 1500PJ could be available to Nigeria annually from solar energy. Due to the numerous disadvantages of conventional fuel sources when compared with solar energy and the recent giant strides in improving solar cell efficiency using a photovoltaic (PV) device that converts 40.8% of light that hits it into electricity, Nigeria needs to reposition herself by investing in this invaluable resource to secure the energy future of our economy [18]. Table1: Summary of the MPPT Techniques from 2010-2023
  • 4. ©NIJEP OPEN ACCESS Publications ISSN: 2992-5487 © Eze et al This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Page | 96 Table 1 summarized the solar photovoltaic optimization techniques and from the summary it was observed that the best technique for solar photovoltaic optimization is hybridization of intelligent and non-intelligent techniques with very simple circuit. Figure 1. Renewable Sources of Energy and their Generated Power from 2020-2023 [19] Figure 1 showed the energy generated by difference renewable energy sources, it was clearly observed that solar has the leading trend. It was observed from figure 1 that the most leading renewable energy in 2023 are solar, wind, nuclear and gas whereas hydro and coal are diminishing with respect to the years. Solar photovoltaic has the brightest prospect among all the renewable sources of energy and with this rapid increase will make a very great history in energy sector before 2050. The second is wind which is still in the performance level of solar in the year 2020 and with this it may still be among the trending one as it decreased in 2021 and picked up in 2022 and 2023. Solar Photovoltaic Components and Its Classifications The Photovoltaic system can be classified into two parts which are the PV array (PV panels and support structures) and the Balance-of-System (BoS) components (storage batteries, Charge controllers, inverters and wirings). There are four basic components of a solar power system: Solar Panels, Charge Controller, Batteries, Power Inverter [20][21][22]. i. Solar panels: solar panel is made up of individual solar cells that are connected in series and parallels to form a solar module. Multiple connected solar modules forms solar array. Figure 2 is a typical example of cells connected to form modules and modules connected for form arrays. Figure 2: A connected PV Cells, Module and array [21] ii. Batteries: Deep Cycle Batteries are needed for the storage of electricity, but more specialized batteries such as Tubular batteries are also gaining popularity for larger applications.
  • 5. ©NIJEP OPEN ACCESS Publications ISSN: 2992-5487 © Eze et al This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Page | 97 iii. Charge Controllers: Charge Controllers are used in preventing overcharge of the battery and high voltage which may damage the battery. There are many technologies used in battery charging such as Pulse Width Modulation (PWM) technique and the best charge controller makes use of optimization technique called Maximum Power Point Tracking (MPPT) technique [23] iv. Power Inverters: The electricity produced by the PV panel is Direct Current (usually 12V, 24V, or 48V, etc.), which is then converted to Alternating Current (AC). Advantages of Solar Energy 1. Low running cost 2. No Monthly Bills 3. It is renewable 4. Low Maintenance Cost 5. Environmental friendly 6. Source of Income 7. Value-Added Property 8. Improving Technology 9. Improves the Economy 10. Job provision Disadvantages of Solar Energy 1. It is expensive to setup 2. Intermittent in a cloudy weather 3. Low Efficiency 4. Occupy more space 5. Dependency on Latitude Solar Energy Trends and Its Prospects As the quest for clean and renewable energy sources continues to grow, the solar energy industry is expected to experience significant growth and rapid innovation from 2023 upwards. The solar energy trends that are expected to shape the renewable energy industry in the future are as follow: 1. Growth of large-scale solar farms: The growth of large-scale solar farms is expected to continue in 2023 as more countries increased their investment in renewable energy. Solar farms can provide a cost- effective and scalable source of clean energy, helping to reduce reliance on fossil fuels and improve energy security. 2. Expansion of rooftop solar panels: The installation of rooftop solar panels is expected to continue to expand the more from 2023, particularly as more households and businesses look to reduce their energy costs and improve their environmental footprint. Rooftop solar panels can provide a cost-effective source of clean energy and can help to reduce dependence on the grid. 3. Adoption of energy storage solutions: Energy storage solutions, such as batteries, are expected to become increasingly widespread in 2023. Energy storage solutions can help to improve energy security and reduce dependence on the grid, while also enabling more effective use of renewable energy sources. 4. Growth of community solar: Community solar, which allows multiple households or businesses to share a single large-scale solar installation, is expected to continue to grow in 2023. Community solar can help to make solar energy more accessible and affordable, while also promoting community engagement and environmental awareness. 5. Expansion of off-grid solar: Off-grid solar, which provides electricity to communities and individuals that are not connected to the grid, is expected to continue to grow in 2023. Off-grid solar can help to bring electricity to remote or rural areas and support economic growth and development. 6. Increased use of smart grid technology: Smart grid technology, which allows for the intelligent management of energy supply and demand, is expected to become increasingly widespread in 2023. Smart grids can help to improve energy efficiency, reduce energy waste, and promote the integration of renewable energy sources into the grid. 7. Development of new financing models: New financing models, such as crowdfunding and micro- financing, are expected to emerge in 2023, helping to make solar energy more accessible and affordable for communities and individuals. These financing models can help to overcome the barriers to investment and support the growth of the solar energy sector.
  • 6. ©NIJEP OPEN ACCESS Publications ISSN: 2992-5487 © Eze et al This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Page | 98 CONCLUSION The rapid growth and innovation in solar photovoltaic/solar energy sector is quit overwarming as more households, businesses, and countries embrace this clean and renewable source of energy. This showed that solar photovoltaic and wind turbines have the highest trend of renewable energy growth and innovation. These trends are expected to help reduce dependence on fossil fuels, improve energy security and final support the transition to a more sustainable clean and cheap energy in future. REFERENCES [1] M. Ajay, WORLD SOLAR MARKET REPORT. 2021. [2] I. Oghogho, O. Sulaimon, D. Egbune, and K. V Abanihi, SOLAR ENERGY POTENTIAL AND ITS DEVELOPMENT FOR SUSTAINABLE ENERGY GENERATION IN NIGERIA : A ROAD MAP TO ACHIEVING THIS FEAT. International Journal of Engineering and Management Science, 5(2) 61–67, 2014. [3] B. K. Dey, I. Khan, M. N. Abhinav, and A. Bhattacharjee, Mathematical modelling and characteristic analysis of Solar PV Cell. 7th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEEE IEMCON 2016, 2016, doi: 10.1109/IEMCON.2016.7746318. [4] V. H. U. Eze, U. O. Oparaku, A. S. Ugwu, and C. C. Ogbonna. A Comprehensive Review on Recent Maximum Power Point Tracking of a Solar Photovoltaic Systems using Intelligent , Non-Intelligent and Hybrid based Techniques. International Journal of Innovative Science and Research Technology, 6(5), 456–474, 2021. [5] W. O. Okafor, S. O. Edeagu, V. C. Chijindu, O. N. Iloanusi, and V. H. U. Eze,. A Comprehensive Review on Smart Grid Ecosystem. IDOSR Journal of Applied Science, 8(1), 25–63, 2023. [6] C. C. Ogbonna, V. H. U. Eze, E. S. Ikechuwu, O. Okafor, O. C. Anichebe, and O. U. Oparaku,. A Comprehensive Review of Artificial Neural Network Techniques Used for Smart Meter-Embedded forecasting System. IDOSR Journal of Applied Science, 8(1), 13–24, 2023. [7] V. H. U. Eze,. Development of Stable and Optimized Bandgap Perovskite Materials for Photovoltaic Applications. IDOSR Journal of Computer and Applied Science, 8(1), 44–51, 2023. [8] M. C. Eze et al., Improving the efficiency and stability of in-air fabricated perovskite solar cells using the mixed antisolvent of methyl acetate and chloroform. Organic Electronics, 107, 1–10, 2022, doi: 10.1016/j.orgel.2022.106552. [9] M. C. Eze et al., Optimum silver contact sputtering parameters for efficient perovskite solar cell fabrication. Solar Energy Materials and Solar Cells, 230(2020),111185, 2021, doi: 10.1016/j.solmat.2021.111185. [10] M. Kafle, P. Rai, N. Gurung, and S. R. Magar,. An analysis on Solar Energy. 2020. doi: 10.13140/RG.2.2.11454.31043/1. [11] M. H. Ahmadi,. Solar power technology for electricity generation : A critical review. Energy Science and Engineering, 6, 340–361, 2018, doi: 10.1002/ese3.239. [12] K. Jäger, O. Isabella, A. H. M. S. R. A. C. M. M. van Swaaij, and M. Zeman, Solar Energy Fundamentals, Technology, and Systems. 2014. [13] A. R. Prasad, S. Singh, and H. Nagar, “Importance of Solar Energy Technologies for Development of Rural Area in India,” IJSRST, 3(6), 585–599, 2017. [14] M. Irfan, Z. Zhao, M. Ahmad, and M. C. Mukeshimana, Solar Energy Development in Pakistan : Barriers and Policy Recommendations. Journal of Sustainability, 11(1206) 1–18, 2019, doi: 10.3390/su11041206. [15] V. H. U. Eze, M. C. Eze, C. C. Ogbonna, S. A. Ugwu, K. Emeka, and C. A. Onyeke, Comprehensive Review of Recent Electric Vehicle Charging Stations. Global Journal of Scientific and Research Publications, 1(12), 16– 23, 2021. [16] V. H. U. Eze, M. C. Eze, V. Chijindu, E. Chidinma E, U. A. Samuel, and O. C. Chibuzo, Development of Improved Maximum Power Point Tracking Algorithm Based on Balancing Particle Swarm Optimization for Renewable Energy Generation. IDOSR Journal of Applied Sciences, 7(1), 12–28, 2022. [17] V. H. U. Eze, O. N. Iloanusi, M. C. Eze, and C. C. Osuagwu, “Maximum power point tracking technique based on optimized adaptive differential conductance,” Cogent Engineering, 4(1), 1–13, 2017, doi: 10.1080/23311916.2017.1339336. [18] Y. Musa, “A review on Energy usage , Smart grid and Development,” IDOSR JOURNAL OF COMPUTER AND APPLIED SCIENCES, 8(1), 36–43, 2023. [19] www.iea.org, “World Energy Investment 2023,” International Energy Agency (IEA), 1–181, 2023.
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