scholarly journals Time-Resolved Temperature Map Prediction of Concentration Photovoltaics Systems by Means of Coupled Ray Tracing Flux Analysis and Thermal Quadrupoles Modelling

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2042
Author(s):  
Alejandro Mateos-Canseco ◽  
Manuel Peña-Cruz ◽  
Arturo Díaz-Ponce ◽  
Jean-Luc Battaglia ◽  
Christophe Pradère ◽  
...  

A transient 3D thermal model based on the thermal quadrupole method, coupled to ray tracing analysis, is presented. This methodology can predict transient temperature maps under any time-fluctuating irradiance flux—either synthetic or experimental—providing a useful tool for the design and parametric optimization of concentration photovoltaics systems. Analytic simulations of a concentration photovoltaics system thermal response and assessment of in-plane thermal gradients induced by fast tracking point perturbations, like those induced by wind, are provided and discussed for the first time. Computation times for time-resolved temperature maps can be as short as 9 s for a full month of system operation, with stimuli inspired by real data. Such information could pave the way for more accurate studies of cell reliability under any set of worldwide irradiance conditions.

Author(s):  
Marcelo N. de Sousa ◽  
Ricardo Sant’Ana ◽  
Rigel P. Fernandes ◽  
Julio Cesar Duarte ◽  
José A. Apolinário ◽  
...  

AbstractIn outdoor RF localization systems, particularly where line of sight can not be guaranteed or where multipath effects are severe, information about the terrain may improve the position estimate’s performance. Given the difficulties in obtaining real data, a ray-tracing fingerprint is a viable option. Nevertheless, although presenting good simulation results, the performance of systems trained with simulated features only suffer degradation when employed to process real-life data. This work intends to improve the localization accuracy when using ray-tracing fingerprints and a few field data obtained from an adverse environment where a large number of measurements is not an option. We employ a machine learning (ML) algorithm to explore the multipath information. We selected algorithms random forest and gradient boosting; both considered efficient tools in the literature. In a strict simulation scenario (simulated data for training, validating, and testing), we obtained the same good results found in the literature (error around 2 m). In a real-world system (simulated data for training, real data for validating and testing), both ML algorithms resulted in a mean positioning error around 100 ,m. We have also obtained experimental results for noisy (artificially added Gaussian noise) and mismatched (with a null subset of) features. From the simulations carried out in this work, our study revealed that enhancing the ML model with a few real-world data improves localization’s overall performance. From the machine ML algorithms employed herein, we also observed that, under noisy conditions, the random forest algorithm achieved a slightly better result than the gradient boosting algorithm. However, they achieved similar results in a mismatch experiment. This work’s practical implication is that multipath information, once rejected in old localization techniques, now represents a significant source of information whenever we have prior knowledge to train the ML algorithm.


2014 ◽  
Vol 556-562 ◽  
pp. 3039-3042
Author(s):  
Xian Qiang Peng

GPS can’t detect the signal because of the cell complex environment in the outdoor and poor radio wave propagation conditions, so that the positioning result is not ideal. However, the positioning method using the ray tracing prediction of radio waves, the tracking point of the scene from all the source radiation, record the relevant parameters, and then positioned within the microcell environment can satisfy the demand. The principle of ray tracing was firstly introduced in this paper, then an outdoor positioning model was set up, finally, the corresponding simulation experiments was implemented to demonstrate the effectiveness of ray tracing positioning in the outdoor environments.


Author(s):  
Mingchi Feng ◽  
Xiang Jia ◽  
Jingshu Wang ◽  
Song Feng ◽  
Taixiong Zheng

Multi-cameras system is widely applied in 3D computer vision especially when multiple cameras are distributed on both sides of the measured object. The calibration methods of multi-cameras system are critical to the accuracy of vision measurement and the key is to find an appropriate calibration target. In this paper, a high-precision camera calibration method for multi-cameras system based on transparent glass checkerboard and ray tracing is described, which is used to calibrate multiple cameras distributed on both sides of the glass checkerboard. Firstly, the intrinsic parameters of each camera is obtained by Zhang’s calibration method. Then, multiple cameras capture several images from the front and back of the glass checkerboard with different orientations, and all images contain distinct grid corners. As the cameras on one side are not affected by the refraction of glass checkerboard, extrinsic parameters can be directly calculated. However, the cameras on another side are influenced by the refraction of glass checkerboard, and the direct use of projection model will produce calibration error. A multi-cameras calibration method using refractive projection model and ray tracing is developed to eliminate this error. Furthermore, both synthetic and real data are employed to validate the proposed approach. The experimental results of refractive calibration show that the error of the 3D reconstruction is smaller than 0.2 mm, the relative errors of both rotation and translation are less than 0.014%, and the mean and standard deviation of reprojection error of 4-cameras system are 0.00007 and 0.4543 pixel. The proposed method is flexible, high accurate, and simple to carry out.


2015 ◽  
Vol 113 (9) ◽  
pp. 3432-3445 ◽  
Author(s):  
Thomas Kreuz ◽  
Mario Mulansky ◽  
Nebojsa Bozanic

Techniques for recording large-scale neuronal spiking activity are developing very fast. This leads to an increasing demand for algorithms capable of analyzing large amounts of experimental spike train data. One of the most crucial and demanding tasks is the identification of similarity patterns with a very high temporal resolution and across different spatial scales. To address this task, in recent years three time-resolved measures of spike train synchrony have been proposed, the ISI-distance, the SPIKE-distance, and event synchronization. The Matlab source codes for calculating and visualizing these measures have been made publicly available. However, due to the many different possible representations of the results the use of these codes is rather complicated and their application requires some basic knowledge of Matlab. Thus it became desirable to provide a more user-friendly and interactive interface. Here we address this need and present SPIKY, a graphical user interface that facilitates the application of time-resolved measures of spike train synchrony to both simulated and real data. SPIKY includes implementations of the ISI-distance, the SPIKE-distance, and the SPIKE-synchronization (an improved and simplified extension of event synchronization) that have been optimized with respect to computation speed and memory demand. It also comprises a spike train generator and an event detector that makes it capable of analyzing continuous data. Finally, the SPIKY package includes additional complementary programs aimed at the analysis of large numbers of datasets and the estimation of significance levels.


2008 ◽  
Vol 130 (12) ◽  
Author(s):  
Justin R. Serrano ◽  
Sean P. Kearney

Micro-Raman thermometry has been demonstrated to be a feasible technique for obtaining surface temperatures with micron-scale spatial resolution for microelectronic and microelectromechanical systems (MEMSs). However, the intensity of the Raman signal emerging from the probed device is very low and imposes a requirement of prolonged data collection times in order to obtain reliable temperature information. This characteristic currently limits Raman thermometry to steady-state conditions and thereby prevents temperature measurements of transient and fast time-scale events. In this paper, we discuss the extension of the micro-Raman thermometry diagnostic technique to obtain transient temperature measurements on microelectromechanical devices with 100 μs temporal resolution. Through the use of a phase-locked technique we are able to obtain temperature measurements on electrically powered MEMS actuators powered with a periodic signal. Furthermore, we demonstrate a way of obtaining reliable temperature measurements on micron-scale devices that undergo mechanical movement during the device operation.


Geophysics ◽  
2008 ◽  
Vol 73 (5) ◽  
pp. VE377-VE384 ◽  
Author(s):  
Kenneth P. Bube ◽  
John K. Washbourne

Many seismic imaging techniques require computing traveltimes and travel paths. Methods to compute raypaths are usually based on high-frequency approximations. In situations such as head waves, these raypaths minimize traveltime but are not paths along which most of the energy travels. We have developed a new approach to computing raypaths, using a modification of ray bending that we call wave tracing; it computes raypaths and traveltimes that are more consistent with the paths and times for the band-limited signals in real data than the paths and times obtained using high-frequency approximations. Wave tracing shortens the raypath while keeping the raypath within the Fresnel zone for a characteristic frequency of the signal.


2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Naveen S. Gowdayyanadoddi ◽  
James T. Curran ◽  
Ali Broumandan ◽  
Gérard Lachapelle

Multipath propagation is one of the major sources of error in GPS measurements. In this research, a ray-tracing technique is proposed to study the frequency domain characteristics of multipath propagation. The Doppler frequency difference, also known as multipath phase rate and fading frequency, between direct (line-of-sight, LOS) and reflected (non-line-of-sight, NLOS) signals is studied as a function of satellite elevation and azimuth, as well as distance between the reflector and the static receiver. The accuracy of the method is verified with measured Doppler differences from real data collected in a downtown environment. The use of ray-tracing derived predicted Doppler differences in a receiver, as a means of alleviating the multipath induced errors in the measurement, is presented and discussed.


2019 ◽  
Author(s):  
Αριστοτέλης-Νικόλαος Ραψομανίκης

Η ανατομική πληροφορία στις καθιερωμένες συνδυαστικές μοριακές απεικονίσεις γίνεται συνήθως με ιοντίζουσες ακτινοβολίες (ακτίνες-Χ, SPECT/CT, PET/CT), οι οποίες επιβαρύνουν κατά κανόνα τον ασθενή με επιπρόσθετη ακτινοβόληση. Η σύγχρονη έρευνα εστιάζεται στη χρήση οπτικών μεθόδων για την υλοποίηση της ζητούμενης μορφολογικής εικόνας, όπου σκεδαζόμενο φως από την υπό εξέταση περιοχή ανακατασκευάζεται κατάλληλα για να αποδώσει τη ζητούμενη ανατομική πληροφορία. Σκοπός της Διδακτορικής αυτής Διατριβής είναι η μελέτη μιας καινοτόμου μεθόδου οπτικής απεικόνισης, όπου, παρά την υψηλή σκεδαστικότητα του μέσου, η χρονικά αξιοποιημένη λαμβανόμενη πληροφορία να δύναται να χρησιμοποιηθεί επιτυχώς για την μορφολογική ανασύσταση του σκεδαζόμενου μέσου σε τομογραφικό επίπεδο. Απώτερος στόχος της μελέτης αυτής είναι η ανάπτυξη ενός υβριδικού τομογραφικού συστήματος αποτελούμενου από μία γ-Camera (SPECT) και ενός συστήματος τηλεκεντρικού φωτισμού με υπέρυθρη παλμική ακτινοβολία και σύστημα οπτικής ανάλυσης με χρονική πληροφορία (Time Resolved Optical Tomography - TROT). Βασικός αρωγός στην κατανόηση των φυσικών διεργασιών στο στάδιο αυτό, πέραν του πειραματικού ελέγχου της εφαρμοσιμότητας συμβατικών μαθηματικών αλγορίθμων για την ανακατασκευή της τομογραφικής εικόνας με υπέρυθρη και οπτική ακτινοβολία, αποτέλεσε η ανάπτυξη ενός εκτεταμένου εργαλείου προσομοίωσης με τεχνικές Monte-Carlo, το οποίο, πέραν από τη λεπτομερή παρακολούθηση της τροχιάς ενός φωτονίου (ray-tracing) σε ισχυρά σκεδαστικό μέσο, καινοτομεί σε δύο βασικά σημεία: Εισάγει με στοχαστικό τρόπο, υπό τη μορφή συνάρτησης πυκνότητας πιθανότητας (probability density function), την μακροσκοπική προσομοίωση της κυριαρχούσης στο μέσο σκέδασης Mie, αποφεύγοντας τοιουτοτρόπως μεγάλους υπολογιστικούς χρόνους. Παράλληλα, υπολογίζει το χρόνο πτήσης (Time-of-Flight) για κάθε προσομοιούμενο φωτόνιο, παρακολουθώντας όλες τις γνωστές φυσικές αλληλεπιδράσεις στις οποίες αυτό υπεισέρχεται. Το λογισμικό αυτό (PhoSim) με την μορφή ενός ολοκληρωμένου πακέτου εφαρμογής αποτελεί τον πυρήνα της μελέτης του εξεταζόμενου θέματος στην Διδακτορική αυτή Διατριβή.


Author(s):  
Allen C. Smith

This study investigates the temperature distribution in an idealized cylindrical package subjected to the HAC Fire transient. Cases for several common overpack materials, with thermal conductivity spanning two orders of magnitude, are considered. The results show that the interior temperature distribution and maximum interior temperature are determined by the heat generation of the contents and the thermal resistance of the package materials. Heat generation has a dominant effect on the peak temperature in the center (containment vessel region) of the package, when the internal thermal resistance is high. For cases where the internal resistance is low, heat conducted into the interior during the fire determines the peak temperature in the center, containment vessel region. The thermal wave effect, where the interior temperature continues to rise after the end of the fire exposure, is present in all cases. The study complements the parametric studies of effects of thermal properties on thermal response of packages which were previously reported.


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