Showing papers in "Solar Energy in 2015"

TL;DR: The results indicate that, FLC performed best among compared MPPT techniques followed by P&O, INC, and, HC MP PT techniques in both dynamic response and steady-state in most of the normal operating range.

TL;DR: In this article, a hybrid machine learning technique for solar radiation prediction based on some meteorological data is examined, which is developed by hybridizing the Support Vector Machines (SVMs) with Firefly Algorithm (FFA) to predict the monthly mean horizontal global solar radiation using three meteorological parameters of sunshine duration (n¯), maximum temperature (Tmax), and minimum temperature(Tmin) as inputs.

TL;DR: In this article, three physical models describing the PV cell and two thermal models for the cell temperature estimation were calibrated and tested towards ten monocrystalline and eight polycrystalline modules installed at SolarTechLab at Politecnico di Milano.

TL;DR: In this article, the authors reviewed the various approaches taken by different perspectives in increasing the solid-state and quasi-solid DSSCs performances utilized solid and gel polymeric electrolytes.

TL;DR: In this article, the key characteristics of CH3NH3PbI3 based solar cells with various hole transport materials (HTM) layers including spiro-OMETAD, NiO, CuI, CuSCN, and Cu2O.

TL;DR: In this article, the effect of phase change material (PCM) infused graphite with an external finned heat sink on the thermal performance, point-based efficiency and overall efficiency of a PV panel has been studied.

TL;DR: It can be seen that not only average results produced by ABSO are more promising than those of the other algorithms but also ABSO has the most robustness and in other LPSP max values, the PV/WT/battery is the most cost-effective systems.

TL;DR: The obtained results prove the superiority of the TCT configuration which provides the best performances under most cases of PSC: uneven or random distribution of partial shading.

TL;DR: It is found that for hour ahead solar forecasting, the machine learning techniques slightly improve the performances exhibited by the linear AR and the scaled persistence model, however, the improvement appears to be more pronounced in case of unstable sky conditions.

TL;DR: In this paper, the first year of broadband solar resource measurements from a new monitoring network in Saudi Arabia developed by the King Abdullah City for Atomic and Renewable Energy (K.A.CARE).

TL;DR: This study demonstrates the effectiveness of the optimized reforecasting method in reducing learnable errors produced by a diverse set of forecast methodologies.

TL;DR: In this article, a comparative simulation study of different solar energy solutions for a Norwegian residential building concept aiming for a net zero energy balance is presented, where separate PV and solar thermal systems are compared to PV/T systems, and the resulting energy balances analyzed.

TL;DR: A suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios that were developed as part of the U.S. Department of Energy SunShot Initiative's efforts to improve the accuracy of solar forecasting show that the proposed metrics can efficiently evaluate the quality of solar forecasts and assess the economic and reliability impacts of improved solar forecasting.

TL;DR: Simulation results reveal that the PV/WT/battery system is the most cost-effective one and adaptive inertia weight-based PSO algorithm yields more promising results than the other PSO variants.

TL;DR: In this paper, a photovoltaic-phase change material (PV-PCM) system was developed to reduce PV temperature dependent power loss in two different climates of Dublin, Ireland (53.33N, 6.25W) and Vehari, Pakistan (30.03N, 72.25E).

TL;DR: In this article, the performance of a combined solar photovoltaic (PV) and thermoelectric generator (TEG) system is examined using an analytical model for four different types of commercial PVs and a commercial bismuth telluride TEG.

TL;DR: A methodology using a nonparametric PV model is proposed, using as inputs several forecasts of meteorological variables from a Numerical Weather Forecast model and actual AC power measurements of PV plants to forecast AC power with a confidence interval.

TL;DR: In this article, a methodology for estimating the rooftop solar photovoltaic potential for a region has been described, which uses high-granularity land use data available in the public domain and GIS-based image analysis of sample satellite images to estimate values of the Building Footprint Area (BFA) Ratio.

TL;DR: In this paper, the exergy efficiency of a solar photovoltaic thermal (PVT) water collector is investigated experimentally and numerically and its operating parameters are measured.

TL;DR: In this paper, the authors examined how the latest generation of climate models used for the 5th IPCC report projected potential changes in surface solar radiation over the coming decades, and how this may affect, in combination with the expected greenhouse warming, solar power output from photovoltaic (PV) systems.

TL;DR: In this article, highly dispersed silica/water nanofluids of various particle sizes were successfully prepared using a facile one-step sol-gel process, and the transmittance and thermal conductivity of the prepared nanoflids were measured.

TL;DR: A simple and accurate method to simulate the characteristic output of a PV system under either partial shading or mismatch conditions, that are caused by the interconnection of solar cells or modules which do not have identical properties or which experience different conditions from one another is presented.

TL;DR: In this article, a biomass and solar integrated system for multigeneration of useful outputs, in which two renewable energy sources are combined to produce multiple outputs (e.g., power, cooling, hot water, heated air), is developed and presented.

TL;DR: In this paper, the effects of environmental conditions such as solar irradiance, wind speed, ambient temperature and adjacent cell interval on the temperature distribution of typical polycrystalline photovoltaic (PV) module were investigated.

TL;DR: In this paper, the contribution of dust to the long-term performance degradation of various photovoltaic (PV) modules that have been operating for almost eighteen years without any cleaning procedures at the Renewable Energy Outdoor Testing Area (ROTA), Murdoch University, Perth, Australia was investigated.

TL;DR: In this paper, a photovoltaic thermal collector was constructed by laminating a copper sheet directly to the silicon cell, thereby reducing the thermal resistance and its performance was improved by using copper oxide -water (CuO/H 2 O) nanofluid.

TL;DR: In this paper, the design of an innovative glazed photovoltaic-thermal (PVT) component with water as heat transfer fluid and the construction of a detailed mathematical model for the estimation of its electrical and thermal production are presented.

TL;DR: It is confirmed that this system can (1) robustly detect clouds and track layers, and (2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images.

TL;DR: A model predictive control (MPC) based coordinated operation framework for a grid-connected residential microgrid with considering forecast errors with results show that the proposed method is economic and flexible.

TL;DR: In this paper, plasmonic silver nanoparticles were added to a working fluid to improve its solar thermal conversion efficiency, and the efficiency of the silver nanofluid is 84.61% after 5min irradiation with a mass concentration of 80.94% in simulated and natural sunlight.