... complex relationships between atmospheric variables. Also, ML was explored since it has not been used in earlier vertical luminous efficacy studies. Sensitivity analysis was also carried out to determine the relative importance of input variables used for developing the proposed models. Findings show...

...Luis F. González-Portillo; Kevin J. Albrecht; Jeremy Sment; Brantley Mills; Clifford K. Ho This study presents a sensitivity analysis of the levelized cost of electricity (LCOE) for a particle-based system with the costs of the most current components. New models for the primary heat exchanger...

...Desh B. Singh; Gagan Bansal; Haridwar Prasad; Ashis Mallick; Navneet Kumar; Sanjeev K. Sharma In the current research, the sensitivity analysis of N alike in parts covered photovoltaic thermal compound parabolic concentrator collectors integrated single-slope solar distiller unit is performed...

... of environmental parameters, including ambient air temperature, solar irradiation, relative humidity, and wind speed. First, a week-long simulation of the system has been performed using environmental data for Memphis, TN, on a typical week during the spring, summer, fall, and winter. Then, a sensitivity analysis...

... in output due to aging. The robustness and possible improvements to the five-parameter model were also evaluated. A sensitivity analysis of the five-parameter model shows that all model inputs that are difficult to determine and not provided by manufacturer datasheets such as the glazing material properties...

... the impact importance of measurable turbine parameters on the vibrations of the drive train and the tower are discussed. They include the predictor importance analysis, the global sensitivity analysis, and the correlation coefficient analysis versed in data mining and statistics. To decouple the impact...

... design engineering sensitivity analysis solar absorber-convertors solar energy concentrators solar power stations The “beam down” optics for solar central receiver plants can have clear advantage for solar chemistry. Solar processes where solid reactants (e.g., carboreduction of ZnO ( 1...

...Johannes P. Pretorius; Detlev G. Kröger This paper conducts a sensitivity analysis on the influence of the quality, thickness, reflectance, emissivity, shape, and insulation of the collector roof glass, the cross section of the collector roof supports, various ground types, ground surface roughness...

... for a design day using optimal control. The evaluation is conducted by means of a sensitivity analysis utilizing a dynamic building energy simulation program coupled to a popular technical computing environment. The optimal controller predicts the required extent of precooling (zone temperature set-point...

... of using a new sensitivity analysis-based pruning method in order to infer the optimal NN structure. We show that the combination of the two approaches makes the practical implementation of the Bayesian techniques more reliable. Batlles , F. J. , Rubio , M. A. , Tovar , J. , Olmo , F...

... model of the roofing complex, a parametric sensitivity analysis highlighted the importance of convective coefficients in the thermal behavior of a roofing complex. A parameter estimation method is then used in order to find the values of the coefficients that lead to an improvement of the thermal model...

... step simulations. Finally, a sensitivity analysis is carried out to understand the cause of the discrepancies between the two models when it occurs. The analysis also allows to identify the factors that mainly affect the system performance. Contributed by the Solar Energy Division of THE AMERICAN...

... 07 02 2005 heat sinks solar cells computational fluid dynamics optimisation sensitivity analysis solar energy concentrators Recently, a conceptual advance was proposed that represents a paradigm shift in the design of solar energy collection and delivery 1 2 3 4 . Rather...

...Thierry Alex Mara; Harry Boyer; Franc¸ois Garde This paper deals with a method of performing a parametric sensitivity analysis. Such a study is very important for modellers as it can provide useful information. Indeed, it can point out a model’s weaknesses and allow us to identify the most...