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The purpose of this paper is to explore the use of the purchase power of the higher education system to catalyze the economy of scale necessary to ensure market competitiveness for solar photovoltaic electricity.

The approach used here was to first determine the demand necessary to construct “Solar City factories”, factories that possess equipment and processes sized, dedicated and optimized to produce only solar photovoltaic systems. Inexpensive solar cells from these factories could produce solar electricity at rates comparable to conventional fossil‐fuel derived electricity. Then it was determined if sufficient demand could be guaranteed by green purchasing from the international university system.

A focused effort from the university community to purchase on‐sight produced electricity would make it possible to construct truly large‐scale dedicated solar photovoltaic factories rather than follow the piecemeal production increases currently observed in the industry.

Direct economic competitiveness of an energy source having markedly lower environmental, social and health externalities would have a positive‐spiral (virtuous cycle) effect encouraging the transition of the global energy infrastructure away from polluting fossil fuels to green solar energy.

Despite significant commercial progress in the conversion efficiency of sunlight into electricity with solar photovoltaic cells, their widespread adoption is still limited by high costs relative to conventional fossil fuel‐based sources of electricity. The concept outlined and critically reviewed in this paper represents a novel and economical method of transitioning the electric supply system to renewable solar energy.

Ghana has recently reviewed its renewable energy Act 835 with an objective of providing 10% of its energy from renewables by 2020 (Ackah and Asomani, 2015). Meanwhile, solar Photovoltaic (PV) accounts for less than 2% of the energy mix (Energy Commission, 2018). In combating environmental issues such as climate change and meeting these policy targets, there is the urgent need to increase investment into the renewable sector. Therefore, the purpose of this paper is to critically examine the impeding constraints to photovoltaic investment in Ghana.

The Literature evaluation was carried out of critical constraints surrounding PV investments. Questionnaire was developed and administered online using Google form. Descriptive statistics was used to describe the features of each constraint. In addition, inferential analysis using relative importance index was used to rank these indicators. Again, one sample t-test was used to test the significance of the indicator. Multiple indicators were used to measure the latent constructs. Finally, independent test of mean equity was used to test relationship between the working experiences of despondence who have worked with solar PV below five years and those who worked from five years to ten years.

The research has highlights high installation and maintenance costs, lack of access to long-term capital finance, access to affordable consumer finance and lack of support to research and development as the major investment obstacles to solar PV investment in Ghana.

It is recommended that the Government of Ghana should provide incentives such as tax waivers, which will encourage entrepreneurs, invest into PV. In addition, it is recommended that solar PV companies must collaborate with financial institutions to provide low interest and flexible consumer financing schemed that can enable home users to purchase the technology. Future research should complement this work by focusing on the impact of domestic currency volatility on PV investment. The scope of this study is constrained to the PV industry in Ghana.

This study will serve as a guide to the private sector business owners to help make critical PV investment decisions. It has also brought to the forefront the reason why solar PV account for a small fraction of Ghana’s energy mix.

This paper seeks to espouse the prevailing constraints to PV investment in Ghana and seeks to contribute to already existing literature that will make profound changes in state policy around PV investment. By understanding these difficulties, driving pointers can be recognized to encourage effective future venture inside the sustainable power source area. In this way, the research leads to a better understanding of the impeding factors that hinders PV investment in Ghana. Again, the paper has achieved new discovery with regards to variations between years of experience with PV use. The variation being less than five years with over five years of PV use. By understanding these difficulties, driving pointers can be recognized to invigorate effective future ventures.

This chapter seeks to place the Paris agreement on anthropogenic greenhouse gases (COP21) in a wider picture on how the global solar photovoltaic (PV) market has been created and shaped over decades. The chapter discusses the role of solar PV actors, as well as other actors in the market-shaping process. The aim is to show how the COP21 can be interpreted in a wider historical perspective.

The chapter builds on expert interviews conducted after the COP21, as well as secondary data on historical studies on evolution of solar energy markets in various countries.

Although scientists and entrepreneurs have been important in creating and shaping the global solar PV market, it is noted that other actors have also had an influence on the market development. Particularly, politicians are seen as playing a crucial role through legislation and funding. Unfortunately for the solar PV market, support has fluctuated over time. The COP21 provides a clear pathway for positive support, and it is expected to bind governments for pro-solar politics even during low prices of fossil fuels and economic downturn.

The chapter provides an overview of what has happened in the history of global solar PV market. It gives reasoning as to why the COP21 is important in securing support for the solar PV market. Thus, it can provide reasoning as to why the COP21 can make a difference.

This is the first academic study that portrays the COP21 against historical evolution of the global solar PV market.

Solar photovoltaic energy is the fastest growing renewable energy in South Africa, and deployment at public universities is critical in order to meet the high energy demand on campuses in a more sustainable manner. To promote and support deployment, it is necessary to know the factors that drive adoption of the technology. Thus, the aim of this study was to identify the factors which engender deployment of photovoltaic energy in public universities in South Africa.

Through an extensive literature review, the factors which drive photovoltaic energy deployment were identified and a three round Delphi survey was conducted for panellists to rate the drivers. The data were analysed using SPSS Version 27, and the mean and inter-quartile range values were used to identify the significant drivers within the public university sector.

The findings suggested that the deployment of photovoltaic energy is engendered by the direct and indirect benefits, social influences and the relative advantage of photovoltaic energy usage. For instance, universities install photovoltaic energy because of the financial gains that are made through reduction of energy cost. The deployment is also motivated by the reduction of energy-related greenhouse gases, enhancement of university sustainability performance, and the contribution to the Sustainable Development Goals.

A significant contribution to the body of knowledge regarding the drivers of photovoltaic energy deployment has been made in the paper from the perspective of a public university. The contribution fills the knowledge gap in South Africa by contributing valuable information to enable decision-makers to gain better understanding of the key issues that call for more attention in promoting and supporting photovoltaic energy deployment in the sector.

This study aims to estimate the electric power production of the 20 MWp solar photovoltaic (PV) plant installed in the Adrar region, South of Algeria using minimal knowledge about weather conditions.

In this study, simulation models based on linear and nonlinear approaches were used to estimate accurate energy production from minimum radiometric and meteorological data. Simulations have been carried out by using multiple linear regression (MLR) and artificial neural network (ANN) models with three basic types of neuron connection architectures, namely, feed-forward neural network, cascade-forward neural network (CNN) and Elman neural network. The performance is measured based on evaluation indexes, namely, mean absolute percentage error, normalized mean absolute error and normalized root mean square error.

A comparison of the proposed ANN models has been made with MLR models. The performance analysis indicates that all the ANN-based models are superior in prediction accuracy and stability, and among these models, the most accurate results are obtained with the use of CNN-based models.

The considered model will be adopted in solar PV forecasting areas as part of the operational forecasting chain based on numerical weather prediction. It can be an effective and powerful forecasting approach for solar power generation for large-scale PV plants.

The operational forecasting system can be used to generate an effective schedule for national grid electricity system operators to ensure the sustainability as well as favourable trading performance in the electricity, such as adjusting the scheduling plan, ensuring power quality, reducing depletion of fossil fuel resources and consequently decreasing the environmental pollution.

The proposed method uses the instantaneous radiometric and meteorological data in 15-min time interval recorded over the two years of operation, which made the result exploits a fact that the energy production estimation of PV power generation station is comparatively more accurate.

The purpose of this paper is to propose a conceptual framework for handling end of life (henceforth EoL) scenarios of solar photovoltaic (solar PV) panels, which includes different options available to businesses and end-users, as well as promoting the collaboration between government and all relevant stakeholders.

This paper adopts purposeful sampling, secondary data and content analysis to develop an appropriate conceptual framework that helps to create awareness of the appropriate options for dealing with the EoL cases of solar PV panels.

From the data analysis, it is revealed that reuse, repair and recycling of solar PV panels can ensure value creation, public-private partnership and a solution for education in sustainability, and thus, prolonging the useful life cycle of the products.

This paper limits the analysis on developing economies and the use of selected literature based on the recycling of solar PV panels.

This paper is an initial attempt to create an awareness by identifying, analyzing and educating the stakeholders to handle appropriately any EoL scenario of solar PV panels.

Over the past decades, the global solar photovoltaic (PV) market has experienced an unprecedented development associated with a substantial decline in solar PV module prices. A body of literature has attempted to identify and evaluate the different sources of price variation. However, the impact of international trade on the price of solar PV modules has not yet been empirically examined. This paper contributes to filling this gap in the literature by providing a comprehensive empirical examination on the relationship between international trade and solar PV module prices.

The author uses a sample of 15 countries over the period 2006–2015 and proposes a linear dynamic panel data model based on a new specification, including a number of relevant factors influencing solar PV module prices.

The empirical analysis reveals that an increase in imports of solar PV cells and modules is associated with a decline in solar PV module prices. This finding suggests that international trade could lead to further price reductions, thus fostering the deployment of solar PV technology. The study reveals several other important findings. Market and technological development are key factors explaining the decline in solar PV module prices. Moreover, government policies such as public budget for R&D in PV and feed-in tariff for solar PV are effective in reducing the price of solar PV modules.

This paper examines the influence of international trade, government policies, market development and technological development on solar PV module prices. The results may be of interest to both academic research and policy analysis.

Gaining independence from fossil fuels and combating climate change are the main factors to increase the generation of electricity from renewable fuels. Amongst the renewable technologies, solar photovoltaic (PV) is believed to have the largest potential. However, the number of people adopting solar PV technologies is still relatively low. Therefore, the purpose of this paper is to examine the household consumers’ acceptance of solar PV technology being installed on their premises.

To examine the solar PV technology acceptance, this study uses technology acceptance model (TAM) as a reference framework. A survey was conducted to gather data and to validate the research model. Out of 780 questionnaires distributed across Malaysia, 663 were returned and validated.

The analysis revealed that perceived ease of use, perceived usefulness and attitude to use significantly influenced behavioural intention to use solar PV technology.

This study contributes by extending the understanding of public inclination towards the adoption of solar PV technology. Also, this study contributes in identifying the areas which need to be examined further. However, collecting data from urban peninsular Malaysian respondents only limits the generalization of the results.

On the policy front, this study reveals that governmental support is needed to trigger PV acceptance.

This paper uses TAM to analyse the uptake of solar PV technology in Malaysian context.

This paper addresses the current lack of solar photovoltaic (PV) adoption by Australian apartment dwellers by proposing a conceptual model that identifies and integrates the factors influencing owners' attitudes towards PV adoption.

The conceptual model, which this paper terms the apartment-based solar adoption (ASA) model, is developed by applying motivation–opportunity–ability (MOA) theory to relevant findings in property development, green energy and strata governance literature.

The ASA model demonstrates the process by which an apartment-owning consumer may progress from considering solar PV adoption to recommending the action to their strata property's Owners' Committee (OC). It incorporates three motivational drivers (pragmatic considerations, perceived values and perceived social norms), three conditional mediators (location accessibility, resource availability and decision-making conditions) and three requirements from the consumer (actual and perceived knowledge, the ability to participate in decision-making and social connections and status).

This article contributes originality to research on two counts. Firstly, it provides a conceptual framework of specific relevance to issues concerning solar PV adoption, and secondly, it offers a systematic means for research into strata governance decision-making. Further research is required to develop the means with which to utilise the model prescriptively and measure longitudinal effects, such as ongoing trends in apartment owners' motivations. Further research is also recommended into how the ASA model may be utilised to identify generalisable consumer typologies among apartment owners.

The ASA model may assist building maintenance providers in developing and marketing solar PV services tailored to apartment residents' requirements and enhance strata managers' ability to inform and guide apartment owners. In turn, property developers would be able to review apartment-based solar projects, measure their increased value and decreased energy costs and incorporate this information when planning future developments.

The ASA model may provide a template for apartment owners and owners' corporations considering solar PV for their property. Public policymakers could also refer to the model to incentivise apartment-based solar PV adoption, whether through designing local information campaigns, developing financial incentives or mitigating identified regulatory barriers. By facilitating solar PV adoption in Australian apartment housing, the model may ensure sustainable post-carbon energy consumption for Australia's housing stock and act as an example for high-density housing development internationally.

The ASA model addresses the many drivers and barriers known to affect solar PV adoption by apartment owners, presenting a framework on which to arrange these factors and outline their causal relationships. This framework may inform strata properties' future solar PV adoption initiatives by incorporating their specific physical characteristics, stakeholder dynamics and institutional structure. It also consolidates and provides generalisability to the concepts established in current literature.

Non-linear power–voltage characteristics of solar cell and frequently changing output due to variation in solar irradiance caused by movement of clouds are the major issues need to be considered in photovoltaic (PV) penetration to maintain the power quality of the grid. It is important for a PV module to always function at its maximum available power point to increase the efficiency and to maintain the grid stability. A possible solution to mitigate these generation fluctuations is the use of an electric double-layer capacitor or supercapacitor energy storage device, which is an efficient storage device for power smoothing applications. This study aims to propose a power smoothing control approach to smoothen out the output power variations of a solar PV system using a supercapacitor energy storage device.

To extract the maximum possible power from a PV panel, there are several maximum power points tracking (MPPT) algorithms developed in literature. Fuzzy logic controller-MPPT method is used in this work as it is a very efficient and popular technique which responds quickly under varying ecological conditions, reduced computational complexity and does not depend on any system constraints. Fuzzy logic-based MPPT controller by Boost DC–DC converter is developed for operating the PV panels at available maximum power point. Fuzzy logic-proportional integral (PI) charge controller is implemented by Buck–Boost converter to provide the constant current and suitable voltage for supercapacitor and to achieve better power smoothing. PI charge controller is preferred in this work as it offers better outcomes and is very easy to implement.

Simulation results conclude that the proposed power smoothing control approach can efficiently smooth out the power variations under variable irradiance and temperature situations. To confirm the accurateness of the proposed system, it is validated for poly-crystalline PV module and comparison of results is done by using different case study with and without the use of an energy storage system under change in irradiance condition. The proposed system is developed and examined on MATLAB/Simulink environment.

The performance comparison between PV power output with and without the use of a supercapacitor energy storage device under different Case Studies shows that the improved performance in smoothing of power output was achieved with the use of a supercapacitor energy storage device.