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Investigation of semi- transparent dye-sensitized solar cells for fenestration integration
摘要： For any particular location glazing transmission varies with season and time of day. Thus, glazing transmission angular behaviour is more crucial than single glazing transmittance value for building energy simulation and design. In this work, the spectral behaviour of the dye-sensitized solar cell (DSSC) glazing with three different transparencies are studied. Transmittance of the devices are measured after 2 years to understand the effects of device stability on DSSC glazing applications. The solar factor for the devices is calculated for different light incident angles for a whole year at a particular location. The correlation between clearness index and DSSC transmittance is also studied. Finally, glare analysis is performed for all the devices on a sunny day, intermittent day and overcast day, and is also compared with double glazing. It is found that the 37% transparent DSSC glazing leads to a greater reduction in disturbing glare by 21% compared to double glazing on a clear sunny day. All the above results suggest that DSSC glazings could be productively used for fenestration integration in buildings.
关键词： DSSC,clearness index,daylight glare,glazing,solar factor,angular transmission
更新于2025-10-22 19:40:53
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Estimation of Global Solar Radiation using Modifed Angstrom Empirical formula on the basis of Meterological parameters in Himalaya Region Pokhara, Nepal
摘要： This research work proposes the coefficient equation of modified Angstrom model using sunshine hour and meteorological parameters for the estimation of global solar radiation in Himalaya Region Pokhara (28.220N, 83.320 E), Nepal. This site is about 800.0 m above from the sea level lying just 20.0 km south of the Machhaputre Himalayas. The model coefficients a and b obtained in this research are 0.43 and 0.23 respectively. The performance parameters of the model are: Root Mean Square Error RMSE = 0.13 MJ/m2/day, Mean Bias Error MBE= 0.02 MJ/m2/day Mean Percentage MPE= 5 percent and coefficient of determination R2= 0.70.
关键词： empirical formula,global solar radiation,regression analysis,sunshine hour,clearness index
更新于2025-09-19 17:15:36
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An Ensemble Framework For Day-Ahead Forecast of PV Output in Smart Grids
摘要： The uncertainty associated with solar photo-voltaic (PV) power output is a big challenge to design, manage and implement effective demand response and management strategies. Therefore, an accurate PV power output forecast is an utmost importance to allow seamless integration and a higher level of penetration. In this research, a neural network ensemble (NNE) scheme is proposed, which is based on particle swarm optimization (PSO) trained feedforward neural network (FNN). Five different FFN structures with varying network complexities are used to achieve the diverse and accurate forecast results. These results are combined using trim aggregation after removing the upper and lower forecast error extremes. Correlated variables namely wavelet transformed historical power output of PV, solar irradiance, wind speed, temperature and humidity are applied as inputs to the multivariate NNE. Clearness index is used to classify days into clear, cloudy and partial cloudy days. Test case studies are designed to predict the solar output for these days selected from all seasons. The performance of the proposed framework is analyzed by applying training data set of different resolution, length and quality from seven solar PV sites of the University of Queensland, Australia. The forecast results demonstrate that the proposed framework improves the forecast accuracy significantly in comparison with individual and benchmark models.
关键词： clear day (CD),solar irradiance,cloudy day (CLD),clearness index,PV power output forecasting,ensemble network (EN),neural network ensemble (NNE),partially cloudy day (PCD),particle swarm optimization
更新于2025-09-10 09:29:36