Accurate optical model for design and analysis of solar fields based on heterogeneous multicore systems

Vanzolini, Luca; Scarselli, Eleonora Franchi; Guerrieri, R.

doi:10.1016/j.renene.2012.12.025

Cited by 14 publications

(9 citation statements)

References 12 publications

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“…In fact, it has been observed that if the number of threads increased too much, this causes a negative effect on execution time. Therefore, it is necessary to take the optimum number of threads to meet the requirements and in order to massively exploit GPU capabilities [54]. As a result of the analysis, 4096 threads are found suitable for this application.…”

Section: Resultsmentioning

confidence: 99%

GPU-Based Dynamic Solar Potential Estimation Tool Using 3D Plans

Kaynak

Özmen

2020

IEEE Access

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Estimations of the solar potential from the building design files may affect placement considerations in favor of more sunlight reception that reduces the energy costs and saves the environment. In this study, a GPU based system (GPU-DSRM) is proposed to estimate direct and diffuse solar radiation aggregated on 3D structures at urban or individual scale. In the proposed approach, finite element method, back-face detection and ray-tracing algorithms are customized to run in parallel to reduce the execution time. Thus, real-time shadow analysis with adjustable sampling rate and time scale can be performed without compromising precision and accuracy of the estimations. The most important novel aspect of the study is that it can be used anywhere in the world without the need for meteorological data. Some of the test results obtained from a site with 10 buildings are presented in this paper that shows a speedup value of 45 with the new GPU-based implementation compared to the CPU-based model. The GPU-DSRM tool has also been compared with geometric tools in the literature. Solar energy potential analysis of building designs or existing urban formations can be completed faster and more precisely with this new approach.

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Section: Resultsmentioning

confidence: 99%

GPU-Based Dynamic Solar Potential Estimation Tool Using 3D Plans

Kaynak

Özmen

2020

IEEE Access

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“…The proposed approach is supported by an analysis of tracking errors carried out with the parallel algorithm presented in [9]. The paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Run-time detection and correction of heliostat tracking errors

Scarselli

Guerrieri

2017

Renewable Energy

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“…Sunshine is the most abundant source of energy on Earth, and every year, the sun delivers more than 10,000 times the amount of energy required by humans for their daily use (Chiesi 2013). Among all the technologies for concentrated solar power (CSP), the use of solar power tower plants (SPTPs) is unique for achieving highly focused solar radiation on a large scale, for generating electrical power (Siala 2001).…”

Section: Introductionmentioning

confidence: 99%

“…Several codes have been produced since the 70s for estimating ideal layouts; and most of those codes are presented in (Garcia 2008). For the most part, the most recent codes (Chiesi 2013, Noone 2012, Collado, 2013, Besarati 2014) identify various forms of access to increase the global optical efficiency ( ), which the present study depends on, to estimate the optical performance of the field. The main purpose of this work is to apply software simulations, a dynamic simulation developed in MATLAB, and consider all average days in the year, as presented in (American Society of Heating, Refrigeration, and Airconditioning Engineers) (ASHRAE 2013), within a specified interval time, to study the potential of SPTP technology through a hypothetical relocation of Seville, Spain's Gemasolar SPTP to regions in the south of Turkey (Gaziantep, Sanliurfa, and Finike).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the potential energy of a heliostat field and solar receiver of solar tower power plants in the southern region of Turkey

Al-Dualimi

Söylemez

2016

Int. J. Renew. Energy Dev.

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A prior study on the performance of high-efficient models for a heliostat field and solar receiver at various candidate locations (e.g., certain regions in the south of Turkey) helped determine suitable locations for installing solar tower power plant units. This study considered the fact that solar tower power plants are affected by the working conditions of a particular site, which helps realize the highest performance of the solar power tower plant. An optimized heliostat field consisting of 2650 SENER heliostats and a model of a solar receiver based on the data obtained using Gemasolar in Seville, Spain, was used as a reference in this work. Each heliostat position is specified using an optimization algorithm that refines previously proposed models, and two parameters are added to this model to further optimize the heliostat layout. Then, a sample analytical thermal model is used for predicting the radiative and convective heat losses from the receiver system. Article History: Received March 13rd 2016; Received in revised form Jun 22nd 2016; Accepted July 3rd 2016; Available onlineHow to Cite This Article: Ra'ad, K, M, A. and Mehmet, S, S. (2016), Evaluating the potential energy of a heliostat field and solar receiver of solar tower power plants in the southern region of Turkey. Int. Journal of Renewable Energy Development, 5(2), 151-161,http://dx.doi.org/10.14710/ijred.5.2.151-161

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Accurate optical model for design and analysis of solar fields based on heterogeneous multicore systems

Cited by 14 publications

References 12 publications

GPU-Based Dynamic Solar Potential Estimation Tool Using 3D Plans

GPU-Based Dynamic Solar Potential Estimation Tool Using 3D Plans

Run-time detection and correction of heliostat tracking errors

Evaluating the potential energy of a heliostat field and solar receiver of solar tower power plants in the southern region of Turkey

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