The role of solar energy usage in environmental sustainability: Fresh evidence through time-frequency analyses

Kuşkaya, Sevda; Bilgili, Faik; Muğaloğlu, Erhan; Khan, Kamran; Hoque, Mohammad Enamul; Toğuç, Nurhan

doi:10.1016/j.renene.2023.02.063

Cited by 48 publications

(13 citation statements)

References 106 publications

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“…Renewable energy efficiency analysis for buildings in Kuwait confirms that solar energy systems are the most widespread and suitable technologies for utilization [50]. It is expected that PV systems, which are widely used in reducing power source pollution, will account for more than half of the total electricity production from renewable energy by 2050 [51]. According to the Statista 2023 data, the share of grid-connected PV production has been continuously increasing for China, Australia, Germany, Japan, and the USA [52].…”

Section: Resultsmentioning

confidence: 99%

A Decision-Making Model Proposal for the Use of Renewable Energy Technologies in Buildings in Turkey

Cesur,

Taş,

Taş

2024

Energies

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With the increasing need for energy, issues related to using energy efficiently in buildings and employing renewable energy technologies are gaining significance. The building production process is intricate, involving numerous stakeholders, multiple decisions, and a combination of qualitative and quantitative data. This process necessitates decision making based on specific requirements. The objective of this study is to identify effective criteria in decision making concerning the use of renewable energy technologies (RETs) in buildings in Turkey. It aims to highlight the importance of these criteria and compare them, and it also aims to define a recommendation decision-making model for the widespread adoption of renewable energy technologies. This study employed qualitative and quantitative research methods. Based on information gathered from the literature, the main criteria and sub-criteria for RET utilization were determined through in-depth interviews with an expert group, including individuals influencing the building design process (architects, engineers, consultants, employers, and users). A recommendation model was developed using the analytic hierarchy process method to highlight the significance of the identified criteria, compare the criteria and technologies, and facilitate the selection of the most-appropriate technology. This study demonstrates that the decision-making model can be utilized in determining RET-related criteria in the building production process, establishing their weights, and make informed decisions regarding the appropriate technology.

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Section: Resultsmentioning

confidence: 99%

A Decision-Making Model Proposal for the Use of Renewable Energy Technologies in Buildings in Turkey

Cesur,

Taş,

Taş

2024

Energies

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“…The research on solar energy involves many countries and regions such as the United States (Cho et al, 2019), France (Fontaine, 2020), Japan (Wai et al, 2022), India (Khan et al, 2022) and Africa (Abdelrazik et al, 2022). For example, Kuşkaya et al (2023) investigates the impacts of solar energy use on CO 2 emissions in the United States. Empirical findings demonstrate that solar energy consumption can have reducing effects on CO 2 emissions at lower frequencies (longer‐term cycles) and sub‐time periods (2014:1–2022:1) in the United States.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of solar energy generation on carbon footprint: Evidence from China

Hui-qing

2023

Geological Journal

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To investigate the impact of solar energy on the carbon footprint, to find effective measures to reduce the carbon footprint and slow global warming as soon as possible, this paper takes 30 provinces in China as an example. First, the inter‐regional input–output model is used to calculate the carbon footprint of each province. Then, the panel quantile regression model is used to investigate the impact of solar energy generation on different quantiles of carbon footprint. The results show that from 2012 to 2020, China's carbon footprint is at a high level, which is not conducive to the achievement of the goal of peaking carbon dioxide emissions. The eastern region has the highest carbon footprint, followed by the western region, the central region has the lowest carbon footprint, and its carbon footprint proportion continues to decline. The increase of solar energy generation can significantly reduce the carbon footprint of high quantile location, but has no significant impact on the carbon footprint of the middle and low quantile locations. Except for the negative impact of afforestation area on carbon footprint, the others control variables are all positive. Therefore, to reduce the carbon footprint of China, it is necessary to upgrade solar technology, increase solar energy generation, reduce energy consumption per unit of GDP (Gross Domestic Product) and the share of coal consumption, strengthen forestry management and reduce reliance on private vehicles.

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“…According to Table 1 , the related research can be classified into, based on their samples, (a) single-country studies (Soytas and Sari 34 ; Lin and Moubarak 39 ; Jaforullah and King 40 ; Ben Jebli and Ben Youssef 41 ; Beşer and Beşer 42 ; Mirzaei and Bekri 43 ; Bekhet and Othman 44 ; Sinha and Shahbaz 45 ; Waheed et al 46 ; Kuşkaya and Bilgili 47 ; Kim et al 48 ; Kuşkaya 49 ; Ozgur et al 50 ; Apergis et al 51 ; Kartal et al 52 ; Kuşkaya et al 53 ; Mukhtarov et al 54 ) or (b) multi-country studies (Apergis et al 55 ; Zoundi 37 ; Belaïd and Zrelli 56 ; Chontanawat 57 ; Saidi and Omri 58 ; Adebayo et al 59 ). It is seen that auto-regressive distributed lags (ARDL), vector error correction model (VECM), and Granger causality (GC) analyses are conducted mostly in studies for a single country as seen in Table 1 .…”

Section: Literature Overviewmentioning

confidence: 99%

“…It is seen that auto-regressive distributed lags (ARDL), vector error correction model (VECM), and Granger causality (GC) analyses are conducted mostly in studies for a single country as seen in Table 1 . In most of the papers in Table 1 , there is a consensus that increasing the usage of renewable energy reduces CO 2 emissions (Lin and Moubarak 39 ; Jaforullah and King 40 ; Ben Jebli and Ben Youssef 41 ; Mirzaei and Bekri 43 ; Bekhet and Othman 44 ; Ozgur et al 50 ; Apergis et al 51 ; Kuşkaya et al 53 ; Mukhtarov et al 54 ). On the other hand, according to Beşer and Beşer 42 , total energy usage increased CO 2 emissions for the Turkish economy from 1960 to 2015 period.…”

Section: Literature Overviewmentioning

confidence: 99%

The trilemma among CO2 emissions, energy use, and economic growth in Russia

Magazzino

Mele

Drago

et al. 2023

Sci Rep

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This paper examines the relationship among CO2 emissions, energy use, and GDP in Russia using annual data ranging from 1990 to 2020. We first conduct time-series analyses (stationarity, structural breaks, cointegration, and causality tests). Then, we performed some Machine Learning experiments as robustness checks. Both approaches underline a bidirectional causal flow between energy use and CO2 emissions; a unidirectional link running from CO2 emissions to real GDP; and the predominance of the “neutrality hypothesis” for energy use-GDP nexus. Therefore, energy conservation measures should not adversely affect the economic growth path of the country. In the current geopolitical scenario, relevant policy implications may be derived.

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The role of solar energy usage in environmental sustainability: Fresh evidence through time-frequency analyses

Cited by 48 publications

References 106 publications

A Decision-Making Model Proposal for the Use of Renewable Energy Technologies in Buildings in Turkey

A Decision-Making Model Proposal for the Use of Renewable Energy Technologies in Buildings in Turkey

Impact of solar energy generation on carbon footprint: Evidence from China

The trilemma among CO2 emissions, energy use, and economic growth in Russia

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