scholarly journals Factors Influencing Solar Photovoltaic Utilization for Energy Services among Residentials in Akure, Nigeria

Author(s):  
Olalekan Aquila Jesuleye ◽  
Arigbede, Olutosin Foluso ◽  
Adepoju, Adeyemi Oluwaseun

Aims: Residential sector is the largest electricity consumer in Nigeria. But they also contribute heavily to the climate change through their choice of energy. Mostly prefer source is the fossil fuel for electricity generation despite the growing awareness of the need to reduce greenhouse gas emissions by embracing renewable energy technologies across the globe. Hence, this study investigated the factors influencing solar PV utilization in Akure. Study Design: The study employed a survey research design. Place and Duration of Study: Three residential estates in Akure, Ondo State, Nigeria formed the study areas. The study was conducted between June 2019 and July 2019. Methodology: The study surveyed 292 households located in the three residential estates in Akure, Ondo State and 219 retrieved questionnaire were found usable for the analysis. Data was analysed using the mean ranking of the influencing factors. Results: The results revealed that the highest ranking factor influencing utilization of Solar PV for energy services is that Solar PV is a good backup against power failure. This is as a result of the erratic power supply in Nigeria which has not only failed to meet the need of household but also hampered economic growth. However, the least ranking factor influencing solar PV utilization for energy services is Ability to sell electricity to the national grid. Conclusion: Cooperation between private enterprises and relevant government agencies supported by ‘political will’ is required to promote the aforementioned factors influencing the solar PV utilization for energy services in Nigeria. Utilization of solar PV as an energy source for energy service ensure access to affordable, reliable, sustainable and modern energy for all. The research recommended that government support for solar PV intervention should be further encouraged.

2018 ◽  
Vol 1 (2) ◽  
pp. 153
Author(s):  
Anita Rizal

<p>The objective of this paper is to find out key factors influencing target market of solar photovoltaic industry; and identify ways on how to reduce cost of sales in solar photovoltaic industry in Nepal. It also analyzes better ways of marketing solar photovoltaic system in current market. The conceptual model taken for this study comprises of Porter’s (1985) value chain analysis theory which has identified two sequences of activities i.e. primary and support activities. Exploratory research has been used where primary data is collected through structured questionnaire distributed among 120 individual sellers of solar photovoltaic system inside Kathmandu valley. The data collected are analyzed using SPSS 16.0 which is coded and tabulated by Microsoft Excel spreadsheet application.</p><p>The result of the analysis of the data shows that factors influencing value chain of solar PV industry are infrastructure (mostly furniture, workshop, showroom, capital and human resources in less number) needed to set up a company, imported from different countries, distribution channel, subsidy claim, marketing medium and after sales service. Few companies import huge quantity of solar related products. Most of the companies targeting direct customer don't claim subsidy directly rather they claim via other pre-qualified companies. Also these companies consider radio advertisement to reach customers at large rather than any other medium of marketing. These companies value warranty and repair &amp; maintenance services as an after sales service. Although few of the solar photovoltaic systems are manufactured in Nepal, they prefer to import these items rather than promote Nepal made products. Thus, these factors have created value from import to service to the customers.</p><p>Journal of Business and Social Sciences Research, Vol. 1, No. 2, pp. 153-168</p>


2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Ridwone Hossain ◽  
Al Jumlat Ahmed ◽  
Sheik Md Kazi Nazrul Islam ◽  
Nirupam Saha ◽  
Preetom Debnath ◽  
...  

Solar photovoltaic (PV) and solar thermal systems are most widely used renewable energy technologies. Theoretical study indicates that the energy conversion efficiency of solar photovoltaic gets reduced about 0.3% when its temperature increases by 1°C. In this regard, solar PV and thermal (PVT) hybrid systems could be a solution to draw extra heat from the solar PV panel to improve its performance by reducing its temperature. Here, we have designed a new type of heat exchanger for solar PV and thermal (PVT) hybrid systems and have studied the performance of the system. The PVT system has been investigated in comparison with an identical solar PV panel at outdoor condition at Dhaka, Bangladesh. The experiments show that the average improvement of open circuit voltage (Voc) is 0.97 V and the highest improvement of Voc is 1.3 V. In addition, the overall improvement of output power of solar PV panel is 2.5 W.


Author(s):  
Jesse Dean ◽  
Alicen Kandt ◽  
Kari Burman ◽  
Lars Lisell ◽  
Christopher Helm

As the demand for renewable energy has grown, so too has the need to quantify the potential for these resources. Understanding the potential for a particular energy source can help inform policy decisions, educate consumers, drive technological development, increase manufacturing capacity, and improve marketing methods. In response to the desire to better understand the potential of clean energy technologies, several approaches have been developed to help inform decisions. One technology-specific example is the use of solar photovoltaic (PV) maps. A solar PV mapping tool visually represents a specific site and calculates PV system size and projected electricity production. This paper identifies the commercially available solar mapping tools and provides a thorough summary of the source data type and resolution, the visualization software program being used, user inputs, calculation methodology and algorithms, map outputs, and development costs for each map.


Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2126 ◽  
Author(s):  
Adimas Pradityo Sukarso ◽  
Kyung Nam Kim

Solar photovoltaic technology is one of the most well established new and renewable energy technologies. Many researchers have undertaken wide research and development in this sector, including material and system design. To protect the exhaustion of global terrestrial land and to avoid the occupation of extensive farmlands, solar photovoltaic (PV) developers, as well as policymakers, have pursued various solutions, including the development of floating solar PV (FPV). This study consists of a technological and economic perspective to analyze the floating solar PV system. The authors utilize remote sensing results to predict FPV efficiency and measure energy yield from the system while also developing an economics analysis on an FPV project by comparison with ground-based solar PV (GPV). The results from the remote sensing method found that the lake has a cooler temperature than the ground, with an annual difference of around 8 °C. FPV efficiency was also shown to be around 0.61% higher than GPV in terms of the prediction. FPV economic parameter comparison also resulted in 3.37 cents/kWh lower levelized cost of electricity (LCOE), and 6.08% higher internal rate of return (IRR) compared to GPV in the base scenario.


2018 ◽  
Vol 10 (1) ◽  
pp. 192
Author(s):  
Farah Roslan

While an increasing number of literature investigates the role of policy instruments on the renewable energy technologies (RETs) investment, the effect of policy instruments on the pattern of diffusion on RETs remain understudied. Therefore, this paper explores the effectiveness of the policy instruments on the pattern of diffusion of solar PV capacity for a set of 6 Asia Pacific countries from 2000 to 2015. The present study is different from previous literature by exploring the effect of policy inducement namely subsidies and tax incentives on the pattern of diffusion of solar PV. The analysis is performed by estimating a diffusion of innovation equation using a pooled OLS model. Results indicate the behaviour of previous adopter and policy intervention does reflect individuals’ tendency to switch to the PV technology. In detail, the existence of tax incentives promotes the shift of solar PV capacity during the analysis period. By exploring the effect of policy inducement on the pattern of diffusion, there is a potential for the current policy to be introduced at the states level to facilitate the diffusion of solar PV.


2018 ◽  
Vol 4 (1) ◽  
pp. 186-192
Author(s):  
Farah Roslan

Abstract While an increasing number of literature investigates the role of policy instruments on the renewable energy technologies (RETs) investment, the effect of policy instruments on the pattern of diffusion on RETs remain understudied. Therefore, this paper explores the effectiveness of the policy instruments on the pattern of diffusion of solar PV capacity for a set of 6 Asia Pacific countries from 2000 to 2015. The present study is different from previous literature by exploring the effect of policy inducement namely subsidies and tax incentives on the pattern of diffusion of solar PV. The analysis is performed by estimating a diffusion of innovation equation using a pooled OLS model. Results indicate the behaviour of previous adopter and policy intervention does reflect individuals’ tendency to switch to the PV technology. In detail, the existence of tax incentives promotes the shift of solar PV capacity during the analysis period. By exploring the effect of policy inducement on the pattern of diffusion, there is a potential for the current policy to be introduced at the states level to facilitate the diffusion of solar PV.


Considering the abundant sunlight so as the insolation available over many months in the Indian sub-continent, renewable energy can be easily harvested using solar photovoltaic array to supplement the grid power. This work proposes such an arrangement through a battery less UPS system. The need for battery less UPS system arises since batteries used in the conventional UPS system have less life time and a major concern of environmental pollution. Considering a premises/ organization where there is a power back up facility like a diesel generator, the role of batteries in the UPS system is limited and used for only few seconds between the mains power failure and the turning on of generator. Hence for such short term power requirements, a Kinetic Energy based medium for storage such as fly-wheel based energy storage can be effectively utilized instead of the electrochemical batteries. Hence the combination of solar PV based power generation along with a battery less online power conditioning system to supply a critical load is the proposed in this scheme.


Author(s):  
Halyna PUDYCHEVA

The article identifies the main logistics decisions that are to be made at the enterprise level to ensure the uninterrupted functioning of their energy system. The purpose of the article is to determine the main logistics decisions, which have to be made by enterprises in order to improve the efficiency of the functioning of energy supply chains. To achieve this goal, the following general scientific methods are used: analysis, synthesis, systematization, theoretical generalization, abstraction and analogy. The article considers such logistics solutions in the energy supply of enterprises as: planning the amount for energy services need, the choice of the energy consumption alternative, the alternative «make or buy», and the choice of supplier. The characteristics of each of these logistic solutions are given and alternatives for their adoption are considered. The factors that should be taken into account when planning the needs of enterprises in energy services are summarized. It is determined what initial data should be considered at planning of the need, and also methods which can be applied. Four variants of consumption of energy services with centralized energy supply are identified. It is proved that the priority type of energy for consumers is electricity. It is proved that the priority type for consumers is electric energy, the factors influencing the choice of the energy supply option are determined. The managerial alternative «make or buy» in the energy supply of enterprises is characterized. The advantages and disadvantages of own productions of energy services are determined. A sequence of ten stages in choosing the option of own production of energy services is developed by the author. The factors influencing the choice of energy service provider for enterprises are summarized. The scheme for selecting process an energy service provider is proposed, which includes nine stages and allows managers to make an optimal logistic decision


2019 ◽  
Vol 11 (5) ◽  
pp. 1370 ◽  
Author(s):  
Shutaro Takeda ◽  
Alexander Keeley ◽  
Shigeki Sakurai ◽  
Shunsuke Managi ◽  
Catherine Norris

The adoption of renewable energy technologies in developing nations is recognized to have positive environmental impacts; however, what are their effects on the electricity supply chain workers? This article provides a quantitative analysis on this question through a relatively new framework called social life cycle assessment, taking Malaysia as a case example. Impact assessments by the authors show that electricity from renewables has greater adverse impacts on supply chain workers than the conventional electricity mix: Electricity production with biomass requires 127% longer labor hours per unit-electricity under the risk of human rights violations, while the solar photovoltaic requires 95% longer labor hours per unit-electricity. However, our assessment also indicates that renewables have less impacts per dollar-spent. In fact, the impact of solar photovoltaic would be 60% less than the conventional mix when it attains grid parity. The answer of “are renewables as friendly to humans as to the environment?” is “not-yet, but eventually.”


Author(s):  
Rahul Bisht ◽  
Afzal Sikander

Purpose This paper aims to achieve accurate maximum power from solar photovoltaic (PV), its five parameters need to be estimated. This study proposes a novel optimization technique for parameter estimation of solar PV. Design/methodology/approach To extract optimal parameters of solar PV new optimization technique based on the Jellyfish search optimizer (JSO). The objective function is defined based on two unknown variables and the proposed technique is used to estimate the two unknown variables and the rest three unknown variables are estimated analytically. Findings In this paper, JSO is used to estimate the parameters of a single diode PV model. In this study, eight different PV panels are considered. In addition, various performance indices, such as PV characteristics, such as power-voltage and current-voltage curves, relative error (RE), root mean square error (RMSE), mean absolute error (MAE) and normalized mean absolute error (NMAE) are determined using the proposed algorithm and existing algorithms. The results for different solar panels have been obtained under varying environmental conditions such as changing temperature and constant irradiance or changing irradiance and constant temperature. Originality/value The proposed technique is new and provides better results with minimum RE, RMSE, NMAE, MAE and converges fast, as depicted by the fitness graph presented in this paper.


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