Efficiency Of Solar Power Plants Research Articles

TEMPERATURE EFFECT TO SOLAR POWER PLANT / TEMPERATŪROS ĮTAKA FOTOVOLTINEI JĖGAINEI

There are a lot of different efficiency photovoltaic cells, which are used in solar power plants. All of these different photovoltaic cells are affected by different environment conditions. Maximum power point tracking is the main way to increase solar power plant efficiency. Mostly systems of maximum power point tracking are slow or inaccurate, that means the system cannot stay in maximum power point in solar power plant. This is the main reason why mostly of solar power plants are working not efficiently. The use of real working solar power plant with aim to find more efficient control algorithms is very expensive and requires long development period. Mathematical modeling makes research and investigation faster. In this article a temperature changing block of photovoltaic module that can simulate temperature changing process for month or even a few years was proposed. This temperature block was used in a solar power plant model which was created in previous investigations. Now, solar power plant model has four structural blocks: solar irradiance block, temperature of photovoltaic module block, photovoltaic module block and controller block. IncCond algorithm is used for maximum power point tracking. Solar power plant model is implemented in Matlab/Simulink environment. This model enables to analyze solar power plant working efficiency, when there are no clouds and the temperature is changing or stays constant. Fotovoltinėse jėgainėse naudojami įvairaus tipo skirtingo veikimo efektyvumo saulės elementai. Nors šie elementai pagal tipą ir efektyvumą skirtingi, tačiau visiems jiems didelę įtaką daro aplinkos sąlygos. Pagrindinė priemonė fotovoltinės jėgainės (FJ) efektyvumui didinti yra didžiausios galios taško sekimas (DGT). Dauguma valdiklių, skirtų didžiausios galios taškui sekti fotovoltinėje jėgainėje, yra lėti arba netikslūs – negali palaikyti fotovoltinės jėgainės didžiausios galios režimo. Tai pagrindinė fotovoltinės jėgainės neefektyvaus veikimo priežastis. Fotovoltinių jėgainių tyrimams realiomis eksploatavimo sąlygomis ieškant efektyvesnių valdymo algoritmų būtinos didelės investicijos į įrangą, ir tai ilgai trunka. Tyrimams paspartinti kuriami imitaciniai modeliai. Šiame darbe aprašomas sukurtas temperatūros poveikiui tirti skirtas saulės modulio temperatūros kitimo blokas. Tai galimybė imituoti procesus, trunkančius mėnesį ar net kelerius metus. Darbe analizuojamą FJ modelį sudaro keturi struktūriniai blokai: saulės galios srautą imituojantis blokas, temperatūros kitimą imituojantis blokas, saulės modulių imitatorius ir valdymo algoritmas, kuriame didžiausios galios taškas nustatomas pagal IncCond algoritmą. Visas fotovoltinės jėgainės modelis, įgyvendintas Matlab/Simulink terpėje, leido analizuoti fotovoltinės jėgainės veikimo efektyvumą giedrą dieną, kai modulių temperatūra buvo pastovi arba kito.

Analysis of solar power plant's efficiency

Analysis of solar power plant's efficiency

Cloud Monitoring for Solar Plants with Support Vector Machine Based Fault Detection System

This study endeavors to develop a cloud monitoring system for solar plants. This system incorporates numerous subsystems, such as a geographic information system, an instantaneous power-consumption information system, a reporting system, and a failure diagnosis system. Visual C# was integrated with ASP.NET and SQL technologies for the proposed monitoring system. A user interface for database management system was developed to enable users to access solar power information and management systems. In addition, by using peer-to-peer (P2P) streaming technology and audio/video encoding/decoding technology, real-time video data can be transmitted to the client end, providing instantaneous and direct information. Regarding smart failure diagnosis, the proposed system employs the support vector machine (SVM) theory to train failure mathematical models. The solar power data are provided to the SVM for analysis in order to determine the failure types and subsequently eliminate failures at an early stage. The cloud energy-management platform developed in this study not only enhances the management and maintenance efficiency of solar power plants but also increases the market competitiveness of solar power generation and renewable energy.

Intra-Day DNI Forecasting Under Clear Sky Conditions Using ANFIS

Abstract The present paper deals with the developement of a new intra-day Direct Normal Irradiance (DNI) forecasting methodology, under clear sky conditions. Indeed, one challenge of the CSPIMP (Concentrated Solar Power plant efficiency IMProvement) research project is to forecast the sun's resource accurately and design efficient plant control approaches. First, a quick review of the different formulations available for the atmospheric turbidity coefficient (from which DNI can be calculated) is performed. The data selection and filtering process is then described. Finally, the new forecasting approaches are compared to persistent and autoregressive models. The most efficient model presented here is based on side-by-side Adaptive Network-based Fuzzy Inference Systems (ANFIS). The selected configuration achieves very good results and validates the proposed forecasting methodology.

Designing optical devices based on non-uniform rational Béziers splines

Optical system design has a significant impact on solar power plant efficiency. It can be advantageous to be able to very precisely adapt mirror shapes in order to improve energy yield. In this article it is investigated whether it is feasible to use non-uniform rational Béziers splines (NURBS) to describe mirrors.Algorithms and equations to evaluate optical performance by ray tracing are lined out. A parameterization scheme is given that reduces the degrees of freedom to a level suitable for automatic processing. To prove feasibility, a secondary reflector based on a NURBS surface and a compound parabolic concentrator (CPC) are designed for a specific test application and compared to each other. It is found that the suggested design method is feasible on contemporary personal computers and that the NURBS based surface performs well compared to the CPC.

Methods for intensifying parabolic trough receivers operation

Methods for increasing efficiency of Parabolic Troughs’ (PT) Heat Collecting Elements (HCE) mainly suggested in ENIN are considered. PT are the elements of Solar Power Plants (SPP) with different assignments. The methods include the application of water and liquid heat carrier with dye (nanoliquid). It is suggested to use this nanoloquid in two-loop power plant. Such nanoliquid provides intensive absorption of solar energy in HCE volume. The results of tests for determining the spectral and thermal stability of such solutions are quite satisfactory. The calculations showed that the efficiency of SPP with such solutions is quite high.

Efficiency of solar heat power plants with selective receivers

It is shown that a selective receiver makes it possible to increase greatly the efficiency of solar power plants under a small concentration of solar radiation and that under high concentration there is a gain, since it is possible to decrease the concentration in comparison with a “black” receiver.