Sustainability perspectives- a review for solar photovoltaic trends and growth opportunities

Choudhary, Piyush; Srivastava, R. K.

doi:10.1016/j.jclepro.2019.04.107

Cited by 188 publications

(60 citation statements)

References 133 publications

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“…Over 500 gigawatts (GW) of capacity was installed at the end of 2018, and by the end of 2019, there will most likely be a total global installed capacity of well over 600 GW [3]. Solar photovoltaic (PV) reduces CO 2 emissions by 2.3 giga-tonnes of per year [4]. The number of large-scale PV power plants is increasing rapidly worldwide [5].…”

Section: Introductionmentioning

confidence: 99%

Observational Study on the Impact of Large-Scale Photovoltaic Development in Deserts on Local Air Temperature and Humidity

Yue

Zhou

et al. 2020

Sustainability

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As an important form of clean energy, photovoltaic (PV) power generation is entering a rapid development phase. Qinghai, China is located on the Qinghai-Tibet Plateau. It has sufficient sunlight and rich heat and light resources, includes a large area of the Gobi Desert, and has become China’s largest base for PV power generation. However, large-scale PV development in deserts changes the local surface energy distribution and impacts local microclimates. This study considered the Gonghe PV Power Plant in Qinghai as an example. Three monitoring stations were set up in the PV power plant, transition, and reference areas, and the influence of large-scale PV developments on the local air temperature and humidity was studied based on long-term, multi-point field observation data. The results showed that the overall daytime air temperature in the PV power plant had changed slightly (increased and decreased), while the night-time temperature dropped significantly. Specifically, in spring and summer, the daytime temperature increased slightly, with a maximum increase of 0.34 °C; in autumn and winter, the daytime temperature decreased slightly, with a maximum decrease of 0.26 °C; in all seasons, the night-time temperature decreased, with a maximum decrease of 1.82 °C during the winter night. The relative humidity in the PV power plant generally increased; except for a slight decrease in summer, the daytime and night-time relative humidity in spring, autumn, and winter always increased. The humidification in winter was the most significant, with increases of 5.00% and 4.76% for the transition and reference areas, respectively. The diurnal air temperature and relative humidity ranges in the PV power plant were greater than those outside the PV power plant. The results obtained in this field observation study could serve as a basis for quantitative evaluation of the microclimate effects of large-scale PV development in deserts and provide technical support for guiding the future planning and development of the PV industry.

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Section: Introductionmentioning

confidence: 99%

Observational Study on the Impact of Large-Scale Photovoltaic Development in Deserts on Local Air Temperature and Humidity

Yue

Zhou

et al. 2020

Sustainability

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“…In the present analysis, the share of self-consumption was a critical variable that had already been analyzed by previous research. According to literature ( Choudhary and Srivastava, 2019 ; Coria et al, 2019 ; D'Adamo, 2018 ; López Prol and Steininger, 2017 ), the following parameters were selected: Purchase price of electricity (p c ) increased/decreased by 2 cent€/kWh. The optimistic scenario had a value of 21 cent€/kWh, while the pessimistic scenario was equal to 17 cent€/kWh.…”

Section: Resultsmentioning

confidence: 99%

The post COVID-19 green recovery in practice: Assessing the profitability of a policy proposal on residential photovoltaic plants

2020

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The development of photovoltaic (PV) energy has been very significant in the last years, thanks to cost reductions brought about by policy actions favouring the transition from a fossil to a green society. As this transition is likely to stretch over the long term, policy support must be programmed accordingly. In light of the human and economic shock effected by COVID-19, the Italian government has offered a tax deduction of 110% over 5 years for the realization of new PV residential plants. We propose to integrate this tool with the application of a bonus for energy produced and self-consumed, in order to support the development of decentralized systems. In this paper, we provide an economic assessment of a 3 kW plant in the context of several policy scenarios. The results underline the great opportunity for consumers to tackle climate change whilst obtaining relevant economic profits. The study can be replicated on a global scale.

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“…Higher Education Institutes (HEIs) can also play a significant role in this regard by motivating large segments of society towards decarbonization objectives [7]. Another strategy to engage consumers in green energy programs is to declare a penalty cost for CO 2 emissions and a continuous increment in its value with the passage of time to achieve goals targeted in various environmental protocols signed by the international stakeholders [8].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Generation Model of Solar Irradiance for Grid Connected Photovoltaic Systems Using Weibull Distribution

Afzaal¹,

Sajjad

Awan

et al. 2020

Sustainability

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Around the world, countries are integrating photovoltaic generating systems to the grid to support climate change initiatives. However, solar power generation is highly uncertain due to variations in solar irradiance level during different hours of the day. Inaccurate modelling of this variability can lead to non-optimal dispatch of system resources. Therefore, accurate characterization of solar irradiance patterns is essential for effective management of renewable energy resources in an electrical power grid. In this paper, the Weibull distribution based probabilistic model is presented for characterization of solar irradiance patterns. Firstly, Weibull distribution is utilized to model inter-temporal variations associated with reference solar irradiance data through moving window averaging technique, and then the proposed model is used for irradiance pattern generation. To achieve continuity of discrete Weibull distribution parameters calculated at different steps of moving window, Generalized Regression Neural Network (GRNN) is employed. Goodness of Fit (GOF) techniques are used to calculate the error between mean and standard deviation of generated and reference patterns. The comparison of GOF results with the literature shows that the proposed model has improved performance. The presented model can be used for power system planning studies where the uncertainty of different resources such as generation, load, network, etc., needs to be considered for their better management.

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Sustainability perspectives- a review for solar photovoltaic trends and growth opportunities

Cited by 188 publications

References 133 publications

Observational Study on the Impact of Large-Scale Photovoltaic Development in Deserts on Local Air Temperature and Humidity

Observational Study on the Impact of Large-Scale Photovoltaic Development in Deserts on Local Air Temperature and Humidity

The post COVID-19 green recovery in practice: Assessing the profitability of a policy proposal on residential photovoltaic plants

Probabilistic Generation Model of Solar Irradiance for Grid Connected Photovoltaic Systems Using Weibull Distribution

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