Development of empirical models for estimation diffuse solar radiation exergy in Turkey

Arslanoglu, Nurullah

doi:10.1504/ijex.2022.120106

Cited by 3 publications

(2 citation statements)

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“…Many solar irradiation predictive models are data driven and hence classified as empirical. These empirical models are grouped into extensive categories according to their input meteorological parameters such as sunshine duration based models, cloud cover based models, latitude and temperature based models [25]. The main types of empirical models are based on sunshine, temperature and relative humidity [26] to [28].…”

Section: Introductionmentioning

confidence: 99%

Angstrom-Prescott Type Models for Predicting Solar Irradiation for Different Locations in Zimbabwe

Iradukunda¹,

Chiteka²

2023

sv-jme

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Adequate assessment of solar radiation data is crucial for planning and designing solar energy systems. However, a major challenge facing solar energy technologies is the availability of solar radiation data at the specific area of interest. In this paper solar radiation and sunshine duration data from 29 stations in Zimbabwe were used to generate both monthly and annual Angstrom-Prescott (A-P) type coefficients, a and b, that are location based. The coefficients were developed using linear correlation between the clearness index and sunshine duration. The adaptation relationship between satellite and ground-measured irradiation had an R2 of 0.6738. The correlation between the clearness index and the sunshine duration in most of the stations was fairly high with the highest coefficient of determination, R2, of 0.9030. The A-Pregression coefficient, a, generated using the data from each station ranged between 0.2252 and 0.3976, whereas the regression coefficient, b, ranged between 0.3218 and 0.6265. The estimated and measured values of global solar radiation, He, and Hm, respectively from each station were compared using the mean absolute percentage error (MAPE), the root mean square error (RMSE), the mean absolute error (MAE) and the relative standard error (RSE). The MAE values for the models ranged from 0.5438 MJ/m2 to 2.2845 MJ/m2. The MAPE indicated a range between 2.5642 % and 10.334 %. The RSE ranged between 0.0346 % and 0.1537% while the RMSE for the models ranged from 0.7360 MJ/m2 to 2.9454 MJ/m2. The statistical indicators showed results that were within the recommended range for solar radiation predicting models from similar studies.

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Section: Introductionmentioning

confidence: 99%

Angstrom-Prescott Type Models for Predicting Solar Irradiation for Different Locations in Zimbabwe

Iradukunda¹,

Chiteka²

2023

sv-jme

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“…So, in this study, exergy of diffuse solar radiation was predicted. For the first time in the literature, Arslanoglu 49 carried out regression analysis to predict the H de . Linear, quadratic, cubic models were estimated for the exergy estimation of H d based only on S/S 0 .…”

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confidence: 99%

Modeling of diffuse solar radiation exergy in Turkey: Comparison of diffuse fraction and diffusion coefficient models

Arslanoglu

2023

Env Prog and Sustain Energy

Self Cite

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In this study, 19 regression models were established for the prediction of exergy value of monthly average diffuse solar radiation with a single or multiple input predictor (Relative sunshine duration, clearness index, relative humidity, and air temperature). Five model categories were defined depending on the diffuse fraction and diffusion coefficient. The most frequently used statistical indicators were used to determine the performance of the empirical models. The global performance indicator (GPI) method was used to determine the accuracy ranking of the models. Consequently, the results show a good agreement with the values estimated from the regression models and the measurement data. The regression models established in this study can be used with great accuracy to evaluate the monthly average diffuse solar radiation exergy in the regions under consideration or in similar climatic conditions.

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Exploring Exergy Performance in Tetrahydrofuran/Water and Acetone/Chloroform Separations

Mtogo,

Mugo,

Varbanov

et al. 2023

Processes

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Distillation is significantly influenced by energy costs, prompting a need to explore effective strategies for reducing energy consumption. Among these, heat integration is a key approach, but evaluating its efficiency is paramount. Therefore, this study presents exergy as an energy quality indicator, analyzing irreversibility and efficiencies in tetrahydrofuran/water and acetone/chloroform distillations. Both systems have equimolar feed streams, yielding products with 99.99 mol% purity. The simulations are performed using Aspen Plus™, enabling evaluation at the column level, as a standalone process, or from a lean perspective that considers integration opportunities with other plants. The results show that, despite anticipated energy savings from heat integration, economic viability depends on pressure sensitivity. The results demonstrate that heat-integrated extractive distillation for acetone/chloroform raises utility energy consumption. Exergy calculations comparing standalone and total site integration reveal the variation in distillation efficiency with operation mode. Global exergy efficiency in both extractive and pressure-swing distillation depends on the fate of condenser duty. In heat-integrated extractive distillation, global exergy efficiency drops from 8.7% to 5.7% for tetrahydrofuran/water and 11.5% to 8.3% for acetone/chloroform. Similarly, heat-integrated pressure-swing distillation sees global exergy efficiency decrease from 34.2% to 23.7% for tetrahydrofuran/water and 9.5% to 3.6% for acetone/chloroform, underscoring the nuanced impact of heat integration, urging careful process design consideration.

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Development of empirical models for estimation diffuse solar radiation exergy in Turkey

Cited by 3 publications

References 0 publications

Angstrom-Prescott Type Models for Predicting Solar Irradiation for Different Locations in Zimbabwe

Angstrom-Prescott Type Models for Predicting Solar Irradiation for Different Locations in Zimbabwe

Modeling of diffuse solar radiation exergy in Turkey: Comparison of diffuse fraction and diffusion coefficient models

Exploring Exergy Performance in Tetrahydrofuran/Water and Acetone/Chloroform Separations

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