Factorial design and response surface optimization for modeling photovoltaic module parameters

Kessaissia, Fatma Zohra; Zégaoui, Abdallah; Aillerie, Michel; Arab, Madjid; Boutoubat, Mohamed; Fares, Chahinez

doi:10.1016/j.egyr.2019.11.016

Cited by 12 publications

(6 citation statements)

References 31 publications

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“…The DoE experiment showing the highest average intra-plantation correlations was selected to provide the optimal SL and SS pair to warp the initial raw data profiles. More information about the use of DoE can be found in [42][43][44]. After alignment, other pre-treatment techniques on the chromatographic data were carried out.…”

Section: Design Of Experiments (Doe)mentioning

confidence: 99%

Gas Chromatographic Fingerprint Analysis for the Comparison of Seized Cannabis Samples

et al. 2021

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Cannabis sativa L. is widely used as recreational illegal drugs. Illicit Cannabis profiling, comparing seized samples, is challenging due to natural Cannabis heterogeneity. The aim of this study was to use GC–FID and GC–MS herbal fingerprints for intra (within)- and inter (between)-location variability evaluation. This study focused on finding an acceptable threshold to link seized samples. Through Pearson correlation-coefficient calculations between intra-location samples, ‘linked’ thresholds were derived using 95% and 99% confidence limits. False negative (FN) and false positive (FP) error rate calculations, aiming at obtaining the lowest possible FP value, were performed for different data pre-treatments. Fingerprint-alignment parameters were optimized using Automated Correlation-Optimized Warping (ACOW) or Design of Experiments (DoE), which presented similar results. Hence, ACOW data, as reference, showed 54% and 65% FP values (95 and 99% confidence, respectively). An additional fourth root normalization pre-treatment provided the best results for both the GC–FID and GC–MS datasets. For GC–FID, which showed the best improved FP error rate, 54 and 65% FP for the reference data decreased to 24 and 32%, respectively, after fourth root transformation. Cross-validation showed FP values similar as the entire calibration set, indicating the representativeness of the thresholds. A noteworthy improvement in discrimination between seized Cannabis samples could be concluded.

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Section: Design Of Experiments (Doe)mentioning

confidence: 99%

Gas Chromatographic Fingerprint Analysis for the Comparison of Seized Cannabis Samples

et al. 2021

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“…The interaction is more significant, which is also consistent with the F test results of AB (0.01 < 0.0482 < 0.05). In addition, the density of the contour lines indicated that the additional amount of glucoamylase had less effect on the embedding rate of glucoamylase@ZIF‐8 than the concentration of 2‐methylimidazole (Kessaissia et al., 2020).…”

Section: Resultsmentioning

confidence: 99%

Immobilized glucoamylase based on ZIF‐8: Preparation, response surface optimization, characterization

Zong,

Huang,

Wen

et al. 2023

Journal of Food Science

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The glucoamylase@ZIF‐8 was prepared using ZIF‐8 material as the carrier in this study. The preparation process was optimized by response surface methodology, and the stability of glucoamylase@ZIF‐8 was determined. The material was characterized by scanning electron microscopy, X‐ray diffraction, and Fourier transform infrared spectroscopy. The results showed that the optimum preparation process of glucoamylase@ZIF‐8 was 1.65 mol 2‐methylimidazole, 5.85 mL glucoamylase, 33°C stirring temperature, 90 min stirring time, and 84.0230% ± 0.6006% embedding rate. At 100°C, the free glucoamylase completely lost its activity, whereas the glucoamylase@ZIF‐8 still had a retained enzyme activity of 12.0123% ± 0.86158%; at pH 3–6, the highest activity of glucoamylase@ZIF‐8 was 95.9531% ± 0.96181%, and about 80% of glucoamylase activity could be retained under alkaline conditions. When the ethanol concentration was 13%, the retained enzyme activity was 7.9316% ± 0.19805%, significantly higher than free enzymes. The Km of glucoamylase@ZIF‐8 and free enzyme were 1235.6825 and 80.317 mg/mL, respectively. Vmax was 0.2453 and 0.149 mg/(mL min), respectively. The appearance, crystal strength, and thermal stability of glucoamylase@ZIF‐8 were improved after optimization, and they had high reusability.

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“…[5] proposes this technique in an autonomous system composed of the photovoltaic-wind binomial and with battery backup. Likewise, [6] uses the method of factorial experimental designs to optimize the parameters of a monocrystalline photovoltaic panel. This paper proposes the application of central composition design (CCD) -a branch of RSM-and regression to find optimal regions of expansion of photovoltaic arrays (AFV) and modification of the power supply of the turbine backrest system-generator, in the months of greater electric demand, to minimize the purchase of electrical power from the external supplier of the Center for Development of Renewable Energies (CEDER).…”

Section: Introductionmentioning

confidence: 99%

“…Where represents the total number of experimental points, represents the number of parameters of the regressor variables 1 , 2 , … , , 0 represents an additive constant that, since there are no effects caused by the regressor variables, usually represents the mean of the response variable . The estimator of vector in expression ( 4) where ′ is the variance-covariance matrix is defined, according to [16] by equation (6).…”

mentioning

confidence: 99%

Electric power management in a microgrid analyzing photovoltaic arrays and a turbine-generator system

López-Meraz

Hernández-Callejo

Boza

et al. 2021

Rev.Fac.Ing.Univ.Antioquia

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One of the priority objectives of microgrids is to achieve energy self-sufficiency, generally resorting to distributed generation sources and backup systems; however, they are usually connected to conventional electrical networks that ensure supply to the loads. Addressing this problem, this work presents a proposal (managing elements) to minimize the dependence of power from the external electrical system in the months of greatest demand and thus guarantee the supply of the other months. The proposed methodology compares two statistical techniques: central composition design with 20 simulated experimental replicas and regression with 28. In both cases, the monthly average purchased power is analyzed as a primary response and its standard deviation as a secondary. The study variables are seven photovoltaic arrays and the feed characteristics of the turbine-generator storage of the microgrid of the Center for Development of Renewable Energies (CEDER), belonging to the Center for Energy Research, Environmental and Technological (CIEMAT). The results, with high predictive quality supported by indexes of approach to the real values of solar radiation and the operation of the turbine-generator binomial, provide regions where CEDER has the possibility of increasing the capacities of solar systems and/or modifying the geometry of the mini-hydraulics supply according to your specific conditions.

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Factorial design and response surface optimization for modeling photovoltaic module parameters

Cited by 12 publications

References 31 publications

Gas Chromatographic Fingerprint Analysis for the Comparison of Seized Cannabis Samples

Gas Chromatographic Fingerprint Analysis for the Comparison of Seized Cannabis Samples

Immobilized glucoamylase based on ZIF‐8: Preparation, response surface optimization, characterization

Electric power management in a microgrid analyzing photovoltaic arrays and a turbine-generator system

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