Optimal Layout for Façade-Mounted Solar Photovoltaic Arrays in Constrained Fields

2020 ◽  
Vol 143 (3) ◽  
Author(s):  
Naveed ur Rehman
Keyword(s):  
Tilt Angle ◽  
Three Dimensional ◽  
Solar Photovoltaic ◽  
Energy Accumulation ◽  
Photovoltaic Array ◽  
Photovoltaic Arrays ◽  
Best Value ◽  
Mutual Shading ◽  
Optimization Routine

Abstract A method for optimizing the geometrical layout for a façade-mounted solar photovoltaic array is presented. Unlike conventional studies, this work takes into account the finite height of the façade, which is more realistic. The proposed analytical relationships and optimization routine evaluate the best tilt angle and the number of panels such that the whole layout receives the maximum solar radiation, year-round. This is achieved while ensuring that the panels are at a safe minimum distance to avoid mutual shading issues. Validation was performed by simulating the scenarios and comparing the results with manual measurements taken in a three-dimensional drafting program. The method was then used to evaluate designs for facades with a variety of orientations, hypothetically located in Auckland, New Zealand. For this case study, the per-panel and total year-round energy accumulation associated with the number of panels were determined. The results showed that more panels can be integrated into constrained fields by sacrificing the year-round best value of the tilt angle. Therefore, increasing the number of panels may decrease the energy accumulation performance.

Determination of the optimal tilt angle and orientation for solar photovoltaic arrays

2010 ◽  
Vol 35 (11) ◽  
pp. 2468-2475 ◽  
Author(s):  
E.D. Mehleri ◽  
P.L. Zervas ◽  
H. Sarimveis ◽  
J.A. Palyvos ◽  
N.C. Markatos
Keyword(s):  
Tilt Angle ◽  
Solar Photovoltaic ◽  
Photovoltaic Arrays

scholarly journals Assembly synthesis with subassembly partitioning for optimal in-process dimensional adjustability

2007 ◽  
Vol 21 (1) ◽  
pp. 31-43 ◽  
Author(s):  
BYUNGWOO LEE ◽  
KAZUHIRO SAITOU
Keyword(s):  
Early Stage ◽  
Three Dimensional ◽  
Application Domain ◽  
Weighted Graphs ◽  
Systematic Method ◽  
Critical Dimensions ◽  
Structural Assembly ◽  
Optimization Routine ◽  
Complex Structural

Achieving the dimensional integrity for a complex structural assembly is a demanding task due to the manufacturing variations of parts and the tolerance relationship between them. Although assigning tight tolerances to all parts would solve the problem, an economical solution is taking advantage of small motions that joints allow, such that critical dimensions are adjusted during assembly processes. This paper presents a systematic method that decomposes product geometry at an early stage of design, selects joint types, and generates subassembly partitioning to achieve the adjustment of the critical dimensions during assembly processes. A genetic algorithm generates candidate assemblies based on a joint library specific for an application domain. Each candidate assembly is evaluated by an internal optimization routine that computes the subassembly partitioning for optimal in-process adjustability, by finding a series of minimum cuts on weighted graphs. A case study on a three-dimensional automotive space frame with the accompanying joint library is presented.

Feasibility analysis of solar photovoltaic array cladding on commercial towers in Doha, Qatar – a case study

2010 ◽  
Vol 29 (2) ◽  
pp. 76-86 ◽  
Author(s):  
Haitham Abu-Rub ◽  
Atif Iqbal ◽  
Sajidul Amin ◽  
Ghalya Abdelkadar ◽  
Nassar Salem ◽  
...  
Keyword(s):  
Feasibility Analysis ◽  
Solar Photovoltaic ◽  
Photovoltaic Array

SHADOW MODELLING ALGORITHM FOR PHOTOVOLTAIC SYSTEMS ANALYSIS AND SIMULATION

2020 ◽  
Author(s):  
Bárbara A. de Sá ◽  
Tiago Dezuo ◽  
Douglas Ohf
Keyword(s):  
Control Strategies ◽  
Three Dimensional ◽  
Dimensional Solution ◽  
Photovoltaic Array ◽  
Photovoltaic Arrays ◽  
Irradiation Power ◽  
Convexity Properties ◽  
Solar Position ◽  
The Impact ◽  
Shadow Projection

In this paper, an algorithm capable of modelling shadows from nearby obstructions onto photovoltaic arrays is proposed. The algorithm developed is based on the calculation of the solar position in the sky for any given instant in order to obtain the shadow projection for any object point. The convexity properties of objects and their shadows are used to allow a precise three-dimensional solution with reduced computational power without the need to consider a vast grid of points. The idea is extended to provide the shading patterns for a desired range of time and to calculate the eciency rate of the irradiation power incident on the array in comparison to the non-shadowed case. The algorithm has interesting applications, such as optimizing array positioning and orientation, evaluating the impact of new obstructions on pre-existing array installations, allowing precise and practical data for control strategies and MPPT techniques for partially shaded systems, calculating more realistically constrained payback scenarios and nding the optimal PV array interconnection. The results obtained are illustrated by a numerical example, in which the eects of a nearby building in the irradiation received by a photovoltaic array throughout the year is analyzed.

scholarly journals A Numerical Modelling Approach to Optimising Photovoltaic Installations for Thermal Effects Mitigation

2021 ◽  
Author(s):  
Kudzanayi Chiteka ◽  
Luxmore Madiye ◽  
Hilton Chingosho ◽  
Rajesh Arora ◽  
C.C Enweremadu
Keyword(s):  
Three Dimensional ◽  
Photovoltaic Cell ◽  
Coefficient Of Determination ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Average Cell ◽  
Temperature Characteristics ◽  
Photovoltaic Array ◽  
Turbulent Characteristics ◽  
Alternative Sources

Abstract Solar energy presents one of the best alternative sources of energy in the current bid to mitigate the negative impacts of global warming. The present study evaluated the influence of installation configuration together with the meteorological parameters on temperature characteristics of a solar photovoltaic array. Three dimensional simulation using Computational Fluid Dynamics was used in the numerical analysis of the temperature characteristics on solar PV arrays. The Shear Stress Transport k-ω model was employed to analyse the turbulent characteristics of the airstream near the photovoltaic array. A temperature prediction model was developed using Artificial Neural Networks and the model was found to be accurate with a coefficient of determination, R2 above 90 %. A Response Surface Methodology optimization model was developed to maximize energy generation while minimizing solar photovoltaic cell operating temperature. The models were able to reduce temperature and improve energy generated by 3.9 %. The optimized tilt and azimuth angles were found to be 28.2o tilt and 13.2o respectively yielding an average cell temperature of 29.3 oC which gave 3.9 % increase in energy and revenue generated.

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