Correlation between thicknesses of dust collected on photovoltaic module and difference in efficiencies in composite climate

Abstract

Reversible solid oxide cells can provide efficient and cost-effective scheme for electrical-energy storage applications. However, this technology faces many challenges from material development to system-level operational parameters , which should be tackle for practical purposes. Accordingly, this study focuses on developing novel robust artificial intelligence-based blackbox models to optimize operational variables of the system. A genetic-programming algorithm is used for Pareto modeling of reversible solid oxide cells in a multi-objective fashion based on experimental input-output data. The robustness of the obtained optimal model evaluated using Monte Carlo simulations technique. An optimization study adopted to optimize the operating parameters, such as temperature and fuel composition using a differential evolution algorithm. The objective functions that have been considered for Pareto multi-objective modeling process are training error and model complexity. In addition, the discrepancy between maximum and minimum output voltage in the whole operation of the system is chosen as the optimization process objective function. The robustness of the optimal trade-off model is shown in terms of statistical indices for varied uncertainty levels from 1 to 10%. The optimized operational condition based on the suggested model reveals optimal intermediate temperature of 762 °C and fuel mixture of about 29% H 2 , 25% H 2 O, and 14% CO.

A Review on Factors Influencing the Mismatch Losses in Solar Photovoltaic System

“…SPV cell output decreased gradually as the air temperature increased. However, changes in wind speed led to mixed reactions of the efficiency of the PV system [61].…”

Floating solar photovoltaic plants in India – A rapid transition to a green energy market and sustainable future

“…For instance, typhoon-related violent winds, high waves, and torrential rain have forced design modifications in some circumstances. 75 Furthermore, alpine lakes and other water bodies in the northern hemisphere freeze over during the winter, posing a difficulty for FSPV. The mechanical pressures on the offshore facilities or infrastructure will be much higher than plants located on land or freshwater ecosystems.…”

An updated review on factors and their inter-linked influences on photovoltaic system performance

“…A study by University of Lucknow, India [64] attempted to find an empirical relation between the difference in the efficiency and the thickness of the dust deposited. The dust thickness and efficiency data were collected thrice every month and this was conducted for one whole year.…”

“… With indoor measurements With outdoor measurements [22] Only theoretical or modeling [ 44 , 51 ] Use of power-plant power output, meteorological data, statistical analysis, Analytical models, Monte Carlo simulations, etc. With indoor measurements [ 33 , 43 ] With outdoor measurements [ 39 , 53 , 64 , 65 , 66 , 67 , 68 , 69 ] Only theoretical or modeling …”