Preliminary Validation of Urban Building Integrated PV System Simulation Software

Solar Energy ◽  
2006 ◽  
Author(s):  
Kalyan Rapolu ◽  
Kaylan Sites ◽  
Mandeep Guragain ◽  
Pritpal Singh
Keyword(s):  
Simulated Data ◽  
Software Tool ◽  
Simulation Software ◽  
Test Facility ◽  
Pv System ◽  
Solar Module ◽  
Preliminary Validation ◽  
Current Voltage ◽  
Glass Panels ◽  
Module Performance

The objective of the present project is to develop a software simulation tool to accurately estimate the power generated from solar energy absorbed by photovoltaic panels mounted on the fac¸ade of a building in an urban environment, taking into account shading and reflection from neighboring buildings. The software tool has been designed and modeled in AutoCAD, with the help of AccuRender/Ecotect. We have previously presented the modeling approach [1]. We have recently established a test facility in which a 50W BP Solar module surrounded by several glass panels in wood frames has been used to simulate a BIPV system with neighboring buildings. Current-voltage characteristics at different times of day for different months are in the process of being recorded together with solar insolation data. These data will be used to perform preliminary validation of the simulation software. A preliminary comparison of the collected experimental solar module performance data with the computer simulated data will be presented.

scholarly journals Optimal Sizing and Economical Analysis of PV-Wind Hybrid Power System for Water Irrigation using Genetic Algorithm

2017 ◽  
Vol 7 (4) ◽  
pp. 1797 ◽  
Author(s):  
Ninet Mohamed Ahmed ◽  
Hanaa Mohamed Farghally ◽  
Faten Hosney Fahmy
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Software Tool ◽  
Simulation Software ◽  
Wind System ◽  
Pv System ◽  
Economical Analysis ◽  
Renewable Power ◽  
Pumping System ◽  
South Sinai

In the present study three renewable power systems are proposed to select the most optimum one for powering an irrigation pumping system and a farmer’s house in two different locations in Sinai, Egypt. Abu-Rudies in south Sinai and El-Arish in north Sinai are the two selected locations. The three suggested power systems are; standalone photovoltaic (PV) system, standalone wind system and standalone PV-wind hybrid system. HOGA (Hybrid Optimization by Genetic Algorithms) simulation software tool based on genetic algorithm (GA) is used for sizing, optimization and economical evaluation of three suggested renewable power systems. Optimization of the powersystem is based on the components sizing and the operational strategy.  The calculated maximum amount of water required for irrigating ten acres of olive per day is 170 m<sup>3</sup>. In terms of cost effectiveness, the optimal configurations are the hybrid PV-wind system and the standalone PV system for Abu-Rudies and El-Arish locations respectively. These systems are the most suitable than the others for the selected sites metrological data and the suggested electrical load

Output Characteristic Analysis of Partially Shaded Back Surface of Bifacial Photovoltaic Solar Module

2014 ◽  
Vol 893 ◽  
pp. 769-772
Author(s):  
Naoki Sawano ◽  
Takuo Notohara ◽  
Yasuyuki Ota ◽  
Kensuke Nishioka
Keyword(s):  
Equivalent Circuit ◽  
Equivalent Circuit Model ◽  
Circuit Model ◽  
Back Surface ◽  
Back Side ◽  
Characteristic Analysis ◽  
Solar Module ◽  
Current Voltage ◽  
Output Characteristics ◽  
Module Performance

Using an equivalent circuit model, the output characteristics of a bifacial photovoltaic solar module under various shaded conditions of the back side of the module were analyzed in detail. From the dark current-voltage (I-V) characteristics of bifacial photovoltaic solar cell, the diode parameters were extracted. The extracted diode parameters were applied to the equivalent circuit model for the bifacial photovoltaic solar module, and the solar-module performance was calculated. There was good agreement between the measured and calculated IV characteristics of the bifacial photovoltaic solar module under various shaded conditions.

scholarly journals Evaluation of the energy demands for a floating O&M-hub

2021 ◽  
Author(s):  
F. Wittmann ◽  
C. Schmitt ◽  
F. Adam ◽  
P. Dierken
Keyword(s):  
Software Tool ◽  
Energy System ◽  
Spare Parts ◽  
Simulation Software ◽  
Offshore Wind ◽  
Baseline Scenario ◽  
Horizon 2020 ◽  
Energy Supply System ◽  
The North ◽  
Energy Demands

AbstractThe Energyhub@Sea concept is one of the four research applications of the Space@Sea project funded by the EU’s Horizon 2020 research program (GA number: 774253). The focus of this paper is the evaluation of the energy demands of an energy self-sufficient maintenance platform at the location of Helgoland in the North Sea. In view of this, a standardized modular floater was developed as an offshore wind operation and maintenance base, which in the following paper is referred to as an O&M hub. The O&M hub is intended to be equipped with accommodation facilities and various renewable energy infrastructure as well as spare parts logistics, enabling the platform to perform maintenance of offshore gearless wind turbines with a capacity of up to 10 MW. To be energy self-sustaining, an energy supply system for the hub was developed and simulated at a resolution of ten minutes by means of the Top-Energy simulation software, a commercial software tool. As a basis for the simulation, an approach for the automated determination of flexible load profiles, in resolutions of up to ten minutes was developed. This load profile generator creates load profiles on the basis of environmental conditions, technical characteristics, and expected behaviors of the inhabitants. On the basis of the generated load profiles, a first layout (referred to as baseline scenario) for the different components of the energy system was evaluated and tested through simulation. In a second step, three optimization scenarios were developed and simulated with regards to the financial feasibility of the Energyhub.

scholarly journals The use of simulation modelling for determining the capacity of railway lines in the Czech conditions

2020 ◽  
Vol 10 (1) ◽  
pp. 224-231
Author(s):  
Erik Tischer ◽  
Petr Nachtigall ◽  
Jaromír Široký
Keyword(s):  
Czech Republic ◽  
Traffic Flow ◽  
Software Tool ◽  
Simulation Modelling ◽  
Energy Performance ◽  
Simulation Software ◽  
The Czech Republic ◽  
Railway Line ◽  
Specialized Software ◽  
Railway Infrastructure

AbstractSimulation modelling is one way to determine the capacity of railway lines. The specialized software tool OpenTrack was used for simulation. The aim of this paper was to find out whether the OpenTrack simulation software can be used for the calculation of headway, and to compare the results with the methodology of the Railway Infrastructure Administration (SŽDC). Using the software tool, a detailed transport network model can be created including all its important characteristics. The simulation follows the movements and behaviour of trains with predefined parameters on the modelled railway line. OpenTrack allows for monitoring a range of parameters including not only train delays, train conflicts and train traffic flow, but also for instance train energy performance and headways. During the first stage of work with OpenTrack, a simulation model was created, not reflecting any existing infrastructure but including parameters typical of railway lines in the Czech Republic, such as the configuration of gridirons, length of station tracks, size of block sections, etc. This model was subsequently used for the simulation of type train set journeys, and a headway calculator was used for the calculation of headway values. These values were compared with the methodology used by the Railway Infrastructure Administration. The paper is concluded by the comparison of the above mentioned approaches.

scholarly journals Techno-economic feasibility analysis of a 3-kW PV system installation in Nepal

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ramhari Poudyal ◽  
Pavel Loskot ◽  
Ranjan Parajuli
Keyword(s):  
Net Present Value ◽  
Meteorological Data ◽  
Electric Energy ◽  
Simulation Software ◽  
Economic Feasibility ◽  
Performance Ratio ◽  
Energy Output ◽  
Solar Pv ◽  
Economic Returns ◽  
Pv System

AbstractThis study investigates the techno-economic feasibility of installing a 3-kilowatt-peak (kWp) photovoltaic (PV) system in Kathmandu, Nepal. The study also analyses the importance of scaling up the share of solar energy to contribute to the country's overall energy generation mix. The technical viability of the designed PV system is assessed using PVsyst and Meteonorm simulation software. The performance indicators adopted in our study are the electric energy output, performance ratio, and the economic returns including the levelised cost and the net present value of energy production. The key parameters used in simulations are site-specific meteorological data, solar irradiance, PV capacity factor, and the price of electricity. The achieved PV system efficiency and the performance ratio are 17% and 84%, respectively. The demand–supply gap has been estimated assuming the load profile of a typical household in Kathmandu under the enhanced use of electric appliances. Our results show that the 3-kWp PV system can generate 100% of electricity consumed by a typical residential household in Kathmandu. The calculated levelised cost of energy for the PV system considered is 0.06 $/kWh, and the corresponding rate of investment is 87%. The payback period is estimated to be 8.6 years. The installation of the designed solar PV system could save 10.33 tons of CO2 emission over its lifetime. Overall, the PV systems with 3 kWp capacity appear to be a viable solution to secure a sufficient amount of electricity for most households in Kathmandu city.

scholarly journals Solution of Bottlenecks in the Logistics Flow by Applying the Kanban Module in the Tecnomatix Plant Simulation Software

2021 ◽  
Vol 13 (14) ◽  
pp. 7989
Author(s):  
Miriam Pekarcikova ◽  
Peter Trebuna ◽  
Marek Kliment ◽  
Michal Dic
Keyword(s):  
Lean Manufacturing ◽  
Business Processes ◽  
Software Tool ◽  
Transportation Systems ◽  
Simulation Software ◽  
Simulation Methods ◽  
Software Environment ◽  
Production Logistics ◽  
Pull System ◽  
Plant Simulation

The presented article deals with the issue of solving bottlenecks in the logistics flow of a manufacturing company. The Tx Plant Simulation software tool is used to detect bottlenecks and deficiencies in the company’s production, logistics and transportation systems. Together with the use of simulation methods and lean manufacturing tools, losses in business processes are eliminated and consequently flow throughput is improved. In the TX Plant Simulation software environment, using Bottleneck analyzer, bottlenecks were defined on the created simulation model and a method of optimizing logistics flows was designed and tested by introducing the Kanban pull system. This resulted in an improvement and throughput of the entire logistics flow, a reduction in inter-operational stocks and an increase in the efficiency of the production system as a whole.

AN IMPROVED PERTURBATION AND OBSERVATION BASED MAXIMUM POWER POINT TRACKING METHOD FOR PHOTOVOLTAIC SYSTEMS

2016 ◽  
Vol 78 (6-2) ◽  
Author(s):  
Ammar Hussein Mutlag ◽  
Azah Mohamed ◽  
Hussain Shareef
Keyword(s):  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Fast Tracking ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Simulink Simulation ◽  
Current Voltage ◽  
Accurate Performance ◽  
Power Point

In photovoltaic (PV) system, maximum power tracking (MPPT) is crucial to improve the system performance. Irradiance and temperature are the two important parameters that affect MPPT. The conventional perturbation and observation (P&O) based MPPT algorithm does not accurately track the PV maximum power point. Therefore, this paper presents an improved P&O algorithm (Im-P&O) based on variable perturbation. The idea behind the Im-P&O algorithm is to produce variable step changes in the reference current/voltage for fast tracking of the PV maximum power point. The Im-P&O based MPPT is designed for the 25 SolarTIFSTF-120P6 PV panels, with a capacity of 3 kW peak. A complete PV system is modeled using the MATLAB/Simulink. Simulation results showed that the Im-P&O based MPPT achieved faster and accurate performance compared with the conventional P&O algorithm.

scholarly journals Effect of Solar Tilt Angles on Photovoltaic Module Performance: A Behavioral Optimization Approach

2020 ◽  
pp. 90-102
Author(s):  
Trina Som ◽  
A. Sharma ◽  
D. Thakur
Keyword(s):  
Solar Energy ◽  
Tilt Angle ◽  
Photovoltaic Module ◽  
Optimization Approach ◽  
Solar Module ◽  
Monthly Average ◽  
Pv Module ◽  
Yearly Maximum ◽  
Module Performance ◽  
Better Than

In the present study, performance analyses of a solar module are made through the optimal variation of solar tilt angle, pertaining to the maximum generation of solar energy. The work has been carried out for a particular location at Tripura, in India, considering three different cases on an annual basis. An intelligent behavioural based algorithm, known as artificial bee algorithm (ABC), has been implemented for finding the optimal orientation of solar angle in analysing the performance. The result shows marginal differences are obtained in producing yearly maximum solar energy for different orientations of the PV module. It has been observed that the maximum average solar energy is obtained for the case where continuous adjustment is made by rotating the plane about the horizontal east-west axis within 20° to 30° tilt angle. The computed maximum and minimum of the monthly average efficiency is 10.9% and 8.7%, respectively. Further, a comparative study has been performed in generating average solar energy through optimal tilt angle by the implementation of Perturb & Observe method (P&O). The monthly average solar power computed by P&O method resulted better in a range of 2% to 15% in comparison to that obtained by ABC. While on the other hand, the efficiency computed by ABC algorithm was 15% to 19% better than that evaluated by P&O method for all the cases studied in the present work.

scholarly journals Single-Trait and Multiple-Trait Genomic Prediction From Multi-Class Bayesian Alphabet Models Using Biological Information

2021 ◽  
Vol 12 ◽  
Author(s):  
Zigui Wang ◽  
Hao Cheng
Keyword(s):  
Molecular Markers ◽  
Genomic Prediction ◽  
Simulated Data ◽  
Software Tool ◽  
Biological Information ◽  
Superior Performance ◽  
Multiple Trait ◽  
Bayesian Lasso ◽  
Trait Analysis ◽  
Causal Variants

Genomic prediction has been widely used in multiple areas and various genomic prediction methods have been developed. The majority of these methods, however, focus on statistical properties and ignore the abundant useful biological information like genome annotation or previously discovered causal variants. Therefore, to improve prediction performance, several methods have been developed to incorporate biological information into genomic prediction, mostly in single-trait analysis. A commonly used method to incorporate biological information is allocating molecular markers into different classes based on the biological information and assigning separate priors to molecular markers in different classes. It has been shown that such methods can achieve higher prediction accuracy than conventional methods in some circumstances. However, these methods mainly focus on single-trait analysis, and available priors of these methods are limited. Thus, in both single-trait and multiple-trait analysis, we propose the multi-class Bayesian Alphabet methods, in which multiple Bayesian Alphabet priors, including RR-BLUP, BayesA, BayesB, BayesCΠ, and Bayesian LASSO, can be used for markers allocated to different classes. The superior performance of the multi-class Bayesian Alphabet in genomic prediction is demonstrated using both real and simulated data. The software tool JWAS offers open-source routines to perform these analyses.

scholarly journals Development of a Transient Model of a Lightweight, Portable and Flexible Air-Based PV-T Module for UAV Shelter Hangars

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2889
Author(s):  
Pedro Orgeira-Crespo ◽  
Carlos Ulloa ◽  
José M. Núñez ◽  
José A. Pérez
Keyword(s):  
Model Simulation ◽  
Electrical Power ◽  
Software Tool ◽  
Inertial Mass ◽  
Simulation Software ◽  
Test Bed ◽  
Transient Model ◽  
Important Concern ◽  
Flexible Panel ◽  
The Military

This research paper introduces a mathematical model to predict the performance of photovoltaic–thermal systems (PV-T), based on a thin layer flexible panel and an air pipe, by using the Trnsys® software tool to simulate energetic systems. The main advantage of these types of panels is their easy portability, making them ideal to address thermal needs in several scenarios. In the military field, there is an important concern about the use of sustainable energy; for instance, cooling facilities for infantry tents used in their deployments. In this research, a PV-T panel to cover electrical power needs for an infantry’s hangar unmanned air vehicle (UAV) is introduced. The proposed thermal model, based on the novelty of inertial mass (lump) as an approach to real panel behavior, has been validated through the comparison between Trnsys’ model simulation data, a real weather station, and data obtained in a test bed. Genopt’s simulation software is used to fit the model, allowing for the prediction of heat transmission coefficient values. The good match between simulated and experimental data makes the proposed model suitable for the photovoltaic–thermal prediction of panel behavior.

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