Sizing methodology of a PV/wind hybrid system: Case study in cyprus

Al‐Ghussain, Loiy; Taylan, Onur

doi:10.1002/ep.13052

Cited by 22 publications

(12 citation statements)

References 23 publications

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“…Also, the optimal design capacity of energy facilities is heavily dependent on electric demand and the level of renewable energy usage, which are difficult to be thoroughly evaluated in advance. To avoid excessive energy use, the design capacity must be determined in conjunction with operation planning, which is based on future demand and predicted energy production [36,37]. Under the current conditions defined by average wind speed value of 5.61 m/s, average solar radiation of 5.63 kWh/m 2 /d and diesel fuel price of $0.75/L, all configurations of HRES are examined in the next sections.…”

Section: Resultsmentioning

confidence: 99%

An Assessment of Renewable Energy Options for Somalia Turkey Hospital

Dursun¹,

Dursun²,

Aykut³

2020

JEE

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Section: Resultsmentioning

confidence: 99%

An Assessment of Renewable Energy Options for Somalia Turkey Hospital

Dursun¹,

Dursun²,

Aykut³

2020

JEE

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“…The levelized cost of electricity (LCOE) is one of the economic parameters that is used to determine the economic feasibility of the energy systems. LCOE for the hybrid system can be calculated using Equation (A8) to incorporate the effect of the mismatching between the energy generation and the demand, the demand met by the hybrid system was used instead of the energy generation [45,46]. Table 2 shows all the economic parameters used in this study.…”

Section: Economic Assessment and System's Feasibilitymentioning

confidence: 99%

100% Renewable Energy Grid for Rural Electrification of Remote Areas: A Case Study in Jordan

et al. 2020

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Many developing countries suffer from high energy-import dependency and inadequate electrification of rural areas, which aggravates the poverty problem. In this work, Al-Tafilah in Jordan was considered as a case study, where the technical, economic, and environmental benefits of a decentralized hybrid renewable energy system that can match 100% of the city demand were investigated. A tri-hybrid system of wind, solar, and hydropower was integrated with an energy storage system and optimized to maximize the match between the energy demand and production profiles. The optimization aimed at maximizing the renewable energy system (RES) fraction while keeping the levelized cost of electricity (LCOE) equal to the electricity purchase tariff. The techno-economic analysis showed that the optimal system in Al-Tafilah comprises a 28 MW wind system, 75.4 MW PV, and 1 MW hydropower, with a 259 MWh energy storage system, for which a RES fraction of 99% can be achieved, and 47,160 MtCO2 are avoided yearly. This study can be easily extended to other rural cities in Jordan, as they have higher renewable energy system (RES) potential. The presented findings are essential not only for Jordan’s planning and economy-boosting but also for contributing to the ongoing force against climate change.

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“…In addition to using the parametric models, many correlations were developed using decomposition models to characterize diffuse radiation intensity. Those correlations were based on the available global radiation data from the weather stations of the different locations 37,38 . Moreover, more advanced techniques have been used to predict the solar resources such as autoregressive integrated moving average (ARIMA) analysis, 39 regression analysis, 40 artificial neural network (ANN) analysis 41 …”

Section: Introductionmentioning

confidence: 99%

Statistical estimation of hourly diffuse radiation intensity of Budapest City

Al‐Ghussain

Al–Oran

Lezsovits

2020

Env Prog and Sustain Energy

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The vulnerability of fossil fuel prices to worldwide events such as the recent coronavirus (COVID‐19) pandemics increases the interest in renewable energy resources that offer more stable energy generation costs. Solar energy is one of the most abundant renewable energy resources that have gained significant interest in the last decades with various challenges related to the forecastingof the energy production from these systems. Solar radiation intensity varies due to the daily and seasonal changes in the sun's position in addition to the variation in the sky clearness from one location to another which is considered as an important factor that affects the deployment of solar energy systems. This study aims to develop statistical models—mainly regression models and parametric model based on ASHRAE model—to estimate the hourly diffuse radiation in Budapest as a case study using the measured hourly global and diffuse radiation between 2011 and 2018. The prediction models relate the clearness index (which is obtained from the extraterrestrial and global radiation) and the global radiation through a generalized equation. The parametric model was developed by finding the optimal site‐specific constants of ASHRAE model for Budapest using the measured data that minimize the root mean square error. In addition, this study presents a comparison between the results from the developed models and the models reported in the literature. The results indicate that all the developed regression models had close correlation coefficients (R2) where the linear, power, and exponential models had the largest R2 (.69). Finally, the linear model was evaluated on a dataset outside the test data range where the linear model was capable of predicting the diffuse radiation with much better R2 (.93).

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Sizing methodology of a PV/wind hybrid system: Case study in cyprus

Cited by 22 publications

References 23 publications

An Assessment of Renewable Energy Options for Somalia Turkey Hospital

An Assessment of Renewable Energy Options for Somalia Turkey Hospital

100% Renewable Energy Grid for Rural Electrification of Remote Areas: A Case Study in Jordan

Statistical estimation of hourly diffuse radiation intensity of Budapest City

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