Predictive suitability of renewable energy for desalination plants: the case of güzelyurt region in northern Cyprus

Kassem, Youssef; Gökçekuş, Hüseyin; Iravanian, Anoosheh; Gökçekuş, Rifat

doi:10.1007/s40808-021-01315-0

Cited by 10 publications

(3 citation statements)

References 70 publications

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“…These include the installation of rainwater collection systems for domestic purposes, the implementation of wastewater recycling initiatives and the expansion of desalination plants. Also, the utilization of renewable energy as a power source for seawater and brackish desalination presents an environmentally viable solution to address the increasing global demand for freshwater while mitigating the adverse effects associated with fossil fuel consumption [74]. Likewise, strategies to decrease water demand include educational campaigns, conservation efforts, and the strategic allocation of new water users [14].…”

Section: Discussionmentioning

confidence: 99%

Cyprus Surface Water Area Variation Based on the 1984–2021 Time Series Built from Remote Sensing Products

Costa,

Bayissa,

Lugon Junior

et al. 2023

Remote Sensing

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Cyprus experiences the highest level of water stress among European Union countries due to several interplaying factors such as rainfall variability and increasing water demand. These instigate the nation to build dams on almost all rivers of the island to satisfy the requirements for drinking water and irrigation. Many studies have been primarily conducted on assessing water availability for various uses, particularly for drinking water supply and irrigation. However, there is still a gap/less explored area in terms of a better understanding of changes in surface water over time. Thus, this study aims to evaluate the water surface area variation in Cyprus over the past four decades based on remote sensing products, timeseries analysis and trend detection. The result reveals a statistically significant increasing trend (p < 0.05) in water surface area between 1984–2021. However, following the completion of the final reservoir in 2010, a statistically significant decreasing trend (p < 0.05) was observed in the permanent water surface area. This decline is related to both climatic variability and increased water demands. We observed cycles of 6, 8, and 11 years in permanent water. These cycles indicate a recurring pattern of water scarcity, with severe implication already observed on both economic activity and agriculture. The recent decade has witnessed a decline in rainfall, and this is evident through the decrease in vegetation greenness in rainfed agricultural regions, highlighting its impact. Therefore, the findings of this study underscore not only the necessity for the development of infrastructure aimed at conserving water, but also reinforces the need to discuss water use priorities in Cyprus.

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Section: Discussionmentioning

confidence: 99%

Cyprus Surface Water Area Variation Based on the 1984–2021 Time Series Built from Remote Sensing Products

Costa,

Bayissa,

Lugon Junior

et al. 2023

Remote Sensing

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“…Unlike traditional semantic memory models, which use a single, comprehensive representation of a text, this one builds its representations progressively over time (the model takes a while to execute, which is an inconvenience). When it comes to finding pairs of words that have similar meanings, the pTCM model does just as well as LSA, as shown by [8]. The model's use of an episodic memory framework is an obvious strength, and the results of this investigation show that similar structures may be put to work for both types of memory storage (episodic and semantic), but the length of time needed to run the model is a limitation (see also the BEAGLE model).…”

Section: Statistical Semantic Modelsmentioning

confidence: 99%

Human Intelligence and Value of Machine Advancements in Cognitive Science A Design thinking Approach

Akshaya¹,

Bizotto

Sathiyanarayanan

2023

JMC

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Latent Semantic Analysis (LSA) is an approach used for expressing and extracting textual meanings using statistical evaluations or modeling applied to vast corpora of text, and its development has been a major motivation for this study to understand the design thinking approach. We introduced LSA and gave some instances of how it might be used to further our knowledge of cognition and to develop practical technology. Since LSA's inception, other alternative statistical models for meaning detection and analysis in text corpora have been created, tested, and refined. This study demonstrates the value that statistical models of semantics provide to the study of cognitive science and the development of cognition. These models are particularly useful because they enable researchers to study a wide range of problems pertaining to knowledge, discourse perception, text cognition, and language using expansive representations of human intelligence.

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“…For instance, Celik [97] studied the wind speed characteristics at Iskenderun in Turkey using 2p-W and 1p-R. Hussain et al [98] estimated the wind power density for Gwadar, Jiwani, Ormara, and Pasni in Pakistan using 2p-W. Serban et al [99] evaluated the wind power potential at two locations in Romania using 2p-W and 1p-R. Ali et al [100] utilized 2p-W and 1p-R for evaluating the WSCsd at Deokjeok-do Island, Incheon, in South Korea. Moreover, several scientific researchers have analyzed the WSCs using various distribution functions (DFs) to determine the best-fit probability distribution [101][102][103][104][105][106][107][108][109][110][111][112][113][114][115]. Table S3 in the Supplementary Materials summarizes the previous studies associated with studying the WSCs using various DFs.…”

Section: Modeling the Distribution Of Wind Frequenciesmentioning

confidence: 99%

Wind and Solar Energy for Sustainable Energy Production for Family Farms in Coastal Agricultural Regions of Libya Using Measured and Multiple Satellite Datasets

Lagili,

Kiraz,

Kassem

et al. 2023

Energies

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Generating electricity from renewable energy instead of fossil fuels brings great benefits to the environment and sustainable development. Thus, assessing the potential of wind and solar energy in agricultural coastal areas can identify sustainable energy solutions for meeting energy demand and producing fresh water for agricultural applications and domestic use. However, it is difficult to accurately assess the wind and solar energy potential in Libya due to the civil war, lack of measured data, and its limited availability. Consequently, this concise work is unique because it is the first to use daily measurement data from Az-Zāwiyah, Libya, for evaluating wind and solar energy based on one year of measured data for 2022. Moreover, the present study aims to investigate the potential of wind and solar energy as promising renewable sources for meeting energy demand in coastal agricultural regions in Libya using multiple datasets for the first time. In this paper, five satellite products (TerraClimate, ERA5, ERA5-Land, MERRA-2, and CFSR) were assessed and compared against measured data for January 2022–December 2022 to understand their suitability, accuracy, and reliability. The results showed that CFSR and ERA5-Land demonstrate the most favorable performance for assessing the wind resource, while all satellite products can be utilized for preliminary solar resource assessment. Then, the assessment of wind and solar resources was evaluated in five agricultural coastal regions (Aljmail, Az-Zāwiyah, Castelverde, Msallatah, and Sabratah) based on the best satellite product for the period of 2000–2022. Furthermore, the performance of the wind and solar power systems was investigated for typical farms, which were chosen to estimate the required energy demand according to daily electrical consumption. The results show that the positive outcomes of implementing these systems were highlighted, with an emphasis on their potential benefits to the entire Libyan agricultural sector. Accordingly, scaling up and generalizing the proposed systems and generalizing them to include all farms in Libya could have a significant impact on national electricity generation, mitigate greenhouse gases, and contribute to the development of the agricultural sector and the country’s economy.

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Predictive suitability of renewable energy for desalination plants: the case of güzelyurt region in northern Cyprus

Cited by 10 publications

References 70 publications

Cyprus Surface Water Area Variation Based on the 1984–2021 Time Series Built from Remote Sensing Products

Cyprus Surface Water Area Variation Based on the 1984–2021 Time Series Built from Remote Sensing Products

Human Intelligence and Value of Machine Advancements in Cognitive Science A Design thinking Approach

Wind and Solar Energy for Sustainable Energy Production for Family Farms in Coastal Agricultural Regions of Libya Using Measured and Multiple Satellite Datasets

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