scholarly journals Artificial Intelligence based Solar Panel Tilt Angle Optimization and its Hardware Implementation for Efficiency Enhancement

Author(s):  
Swarnavo Datta ◽  
Supantho Bhattacharya ◽  
Priyanka Roy
2019 ◽  
Vol 11 (22) ◽  
pp. 6443 ◽  
Author(s):  
Hailu ◽  
Fung

We present a study conducted to obtain optimum tilt angle and orientation of a solar panel for the collection of maximum solar irradiation. The optimum tilt angle and orientation were determined using isotropic and anisotropic diffuse sky radiation models (isotropic and anisotropic models). The four isotropic models giving varying optimum tilt angles in the range of 37 to 44°. On the other hand, results of the four anisotropic models were more consistent, with optimum tilt angles ranging between 46–47°. Both types of models indicated that the collector tilt should be changed four times a year to receive more solar radiation. The results also indicate that the solar panel should be installed with orientation west or east of due south with a flatter tilt angle. A 15° change in orientation west or east of due south results in less than 1% reduction of the total solar radiation received. For a given optimum tilt angle, the effect of photovoltaic/thermal (PV/T) orientation west or east of due south on the outlet temperature was determined using a one-dimensional steady state heat transfer model. It was found that there is less than 1.5% decrease in outlet temperature for a PV/T panel oriented up to 15° east or west of due south from March to December. This result indicates that existing roofs with orientations angles up to 15° east or west of due south can be retrofitted with a PV/T system without changing the roof shape.


Proceedings ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 55
Author(s):  
Fabrizio Tappero ◽  
Rosa Alsina-Pagès ◽  
Leticia Duboc ◽  
Francesc Alías

City noise and sound are measured and processed with the purpose of drawing appropriate government legislation and regulations, ultimately aimed at contributing to a healthier environment for humans. The primary use of urban noise analysis is carried out with the main purpose of reporting or denouncing, to the appropriate authorities, a misconduct or correct a misuse of council resources. We believe that urban sounds carry more information than what it is extracted to date. In this paper we present a cloud-based urban sound analysis system for the capturing, processing and trading of urban sound-based information. By leveraging modern artificial intelligence algorithms running on a FOG computing city infrastructure, we will show how the presented solution can offer a valuable solution for exploiting urban sound information. A specific focus is given to the hardware implementation of the sound sensor and its multimicrophone architecture. We discuss how the presented architecture is designed to allow the trading of sound information between independent parties, transparently, using cloud-based sound processing APIs running on an inexpensive consumer-grade microphone.


1970 ◽  
Vol 46 (1) ◽  
pp. 117-122 ◽  
Author(s):  
M Eusuf ◽  
M Khanam ◽  
S Khatun

In part II of this series, it was reported that the solar home system (SHS) supplied by REB in some islands of the Meghna river in the district of Narsingdi could not meet the demand of the recipients in the rainy season when the sky remained overcast with cloud. The tilt angle for all installations was 45° facing south. In this study, effects of direct and diffuse sunlight with variation of tilt angles from 0° to 45° were studied using a mono crystalline silicon cell. Pyranometer and the solar panel were kept under identical conditions. Energy absorbed by the solar panel in diffuse sunlight was found 0.55% of that received by the Pyranometer under similar conditions showing that mono crystalline silicon solar cell of the type under study was not suitable for use in SHS. Moreover, the gap between the panel and the solid surface below it has significant effects on the efficiency of the solar cell. Further similar study using different kinds of cells- mono crystalline, poly crystalline and amorphous is needed for proper designs of SHS. Optimization of the gap between the panel and the solid surface below it is important for roof-mounted and ground-mounted panels. Key words: Silicon solar cells; Tilt angle; Diffuse light; Home lighting; Monocrystaline. DOI: http://dx.doi.org/10.3329/bjsir.v46i1.8114 Bangladesh J. Sci. Ind. Res. 46(1), 117-122, 2011   


2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Emanuele Calabrò

This paper proposes an algorithm to calculate the optimum tilt angle of solar panels by means of global horizontal solar radiation data, provided from Earth-based meteorological stations. This mathematical modeling is based on the maximization of the theoretical expression of the global solar irradiation impinging on an inclined surface, with respect to the slope and orientation of the panel and to the solar hour angle. A set of transcendent equations resulted, whose solutions give the optimum tilt and orientation of a solar panel. A simulation was carried out using global horizontal solar radiation data from the European Solar Radiation Atlas and some empirical models of diffuse solar radiation. The optimum tilt angle resulted was related to latitude by a linear regression with significant correlation coefficients. The standard error of the mean values resulted increased significantly with latitude, suggesting that unreliable values can be provided at high latitudes.


Author(s):  
Victor B. Naumov ◽  
Gulfia G. Kamalova

The study of the problems of the formation of the conceptual ap para tus in the field of legal support of artificial intelligence to develop effective le gal solutions in order to regulate new digital technologies. The work is based on a set of general scientific and special legal methods, including analysis, description, ge ne ra li zation, com parative law. The formation of legal definitions of artificial intelligence and related concepts (ro bot, cyber-physical system, etc.) requires the identification of the main legal fe atures of artificial intelligence. The following key characteristics of artificial in tel li gence are identified: optional hardware implementation; the ability of the system to analyze the environment; autonomy in operation; the ability to accumulate experience, its assessment and implementation of the task of self-learning; the pre sence of "intelligence", described through the categories of "rationality", "rationality" or simply the ability to "think like a person" or "act like a person" in all or in narrowly defined circumstances. Future legal regimes of artificial intelligence should take into account the possibility of weak artificial intelligence as a kind of complex thing and strong artificial intelligence that will "require" new legal solutions. The formation of legal definitions in the field of artificial intelligence must meet the requirements of universality, system city and ethics, and also allow, based on the selected properties, to establish systemic hierarchical relationships between concepts used in the field of artificial intelligence. The study develops the theoretical and practice-oriented provisions of in for mation law in matters of legal support for artificial intelligence, and also creates the basis for the formation of legislation in this area. The work can be used in further research activities on the legal regulation of the development, functioning and use of artificial intelligence systems.


Author(s):  
Ali Sabri Allw ◽  
Ikhlas Hameem Shallal

In this research project, a tip-tilting angle of a photovoltaic solar cell was developed to increase generated electrical power output. An active, accurate, and simple dual-axis tracking system was designed by using an Arduino Uno microprocessor. The system consisted of two sections: software and apparatus (hardware). It was modified by using a group of light-dependent resistor sensors, and two DC servo motors were utilized to rotate the solar panel to a location with maximum sunlight. These components were arranged in a mechanical configuration with the gearbox. The three locations of the solar cell were chosen according to the tilt angle values, at zero angles, which included an optimal 33-degree angle for the Baghdad location and a variable angle with the dual-axis tracking system. For maximum value of the extracted solar energy, a photovoltaic solar panel that collects sunlight should be in normal position onto this radiation. Solar trackers relocated the panel toward the path of the Sun to ensure that the collector rotated at an optimal tilt angle. The results showed that the generated power at the dual-axis position was 3.384 watts per hour (W/h), the 33-degree angle yielded 2.237 W/h, and the zero-degree angle yielded 1.09 W/h. The results confirmed that the performance of a dual-axis solar tracking system is active and efficient.


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