Energy model validation for large-scale photovoltaic systems

Westbrook, Owen; Collins, Forrest D.

doi:10.1109/pvsc.2013.6744274

Cited by 7 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The optimal solar PV parameters for Glasgow were determined through an inter-model comparison [ 34 ] with PVsyst, a commercial tool used widely in industry due to its accuracy [ 74 ]. This comparison involved GOMap's solar PV model and the PVsyst model calculating the potential annual energy output for a single 2 m × 1 m monocrystalline PV panel in Glasgow city for varying panel tilt angles, from 0 o to 90 o at an azimuth angle of 180 o with the exclusion of horizon brightening as this component required a paid license for PVsyst.…”

Section: Gomap Applicationmentioning

confidence: 99%

Development and application of an urban solar photovoltaic opportunity mapping tool

McGhee,

Clarke,

Svehla

2024

Heliyon

View full text Add to dashboard Cite

Section: Gomap Applicationmentioning

confidence: 99%

Development and application of an urban solar photovoltaic opportunity mapping tool

McGhee,

Clarke,

Svehla

2024

Heliyon

View full text Add to dashboard Cite

“…The outputs were PV array energy production, performance ratios, normalized power production and PV energy losses. The software has been extensively used and validated by different researchers for PV power output simulation studies (Westbrook and Collins, 2013;Gurupira and Rix, 2017;Sadeq and Abdellatif, 2021;Jagadale et al, 2022;Milosavljević et al, 2022;Yakubu et al, 2022;PVsyst, 2023).…”

Section: Simulation Of Pv Energy Outputmentioning

confidence: 99%

Electrical power output potential of different solar photovoltaic systems in Tanzania

Warburg,

Pogrebnaya,

Kivevele

2024

Int. J. Renew. Energy Dev.

View full text Add to dashboard Cite

This study examines the photovoltaic (PV) energy output and levelized cost of energy (LCOE) in seven regions of Tanzania across five different tilt adjustments of 1 MW PV systems. The one-diode model equations and the PVsyst 7.2 software were used in the simulation. The results reveal variations in energy output and LCOE among the regions and tilt adjustments indicating a strong correlation between PV energy output and solar irradiance incident on the PV panel. For horizontal mounting, the annual energy output ranges from 1229 MWh/year in Kilimanjaro to 1977 MWh/year in Iringa. Among the three optimal tilt adjustments, annually, monthly and seasonal, the last two are predicted to yield larger energy outputs, whereas the two axis tracking configuration consistently provides the maximal energy output in all regions, ranging from 1533 MWh/year in Kilimanjaro to 2762 MWh/year in Iringa. The LCOE analysis demonstrates the cost-effectiveness of solar PV systems compared to grid-connected and isolated mini-grid tariffs. The LCOE values across the regions and tilt adjustments range from $0.07/kWh to $0.16/kWh. In comparison, the tariff for grid-connected solar PV is $0.165/kWh, while for isolated mini-grids; it is $0.181/kWh. The monthly optimal tilt configuration proves to be the most cost-effective option for energy generation in multiple regions, as it consistently exhibits the lowest energy cost compared to the other four configurations. The results provide valuable insights into the performance and economic feasibility of various system setups. Through meticulous simulation and data analysis, we have gained a comprehensive understanding of the factors influencing energy generation and costs in the context of solar photovoltaic systems.

show abstract

“…Where is the daily energy required from the battery, DOD is the permissible depth of discharge, AD is autonomy days, is the ampere-hour efficiency of the battery cell, and is the selected nominal DC voltage of the battery block [2,10]. The values of the factors considered while calculating for battery size are battery loss 0.85, 4-days of autonomy, depths of discharge, DOD -0.8, and battery's nominal voltage.…”

Section: Photovoltaic Component Sizingmentioning

confidence: 99%

Design and Simulation of an on-Grid Photovoltaic System

Ikoiwak

Big-Alabo

Wofuru

2021

International Journal of Engineering and Innovative Research

View full text Add to dashboard Cite

In this paper, the design and simulation of an On-grid photovoltaic system for the faculty of Engineering, Abuja campus, University of Port Harcourt (Latitude: 4.78°S, Longitude: 7.01°E) was researched inorder to verify alternate power source possibility that can supplement for the inconsistent power from the (Power holding company of Nigeria) grid to the faculty. The system Solar modules are mounted in a fixed tilt orientation in 4-parallel strings of 15 Solar panels in series on the roof-top of the faculty. The photovoltaic system is also designed with a two-parallel string of nine Tesla Powerwall batteries in series for the battery bank storage system. Inverters used for this system are two 9.9kW battery-based grid-tied inverters stacked in parallel with an inbuilt Maximum power point tracker (MPPT). The reinjection system is on-grid as a net-meter is not used since the Power Holding Company of Nigeria, PHCN does not support Net-metering. Thus, power is not injected into the grid from the solar photovoltaic system. In solving the faculty's power lapses and improving power supply quality in the faculty, data collected both within the faculty. These methods include data collection, evaluation of load data, data analysis, suitable design adoption, simulation of data. A solar photovoltaic software application package called PVsyst was employed for various simulations and plots. The end simulation and final work prove the system to be 57% efficient in performance.

show abstract

Energy model validation for large-scale photovoltaic systems

Cited by 7 publications

References 6 publications

Development and application of an urban solar photovoltaic opportunity mapping tool

Development and application of an urban solar photovoltaic opportunity mapping tool

Electrical power output potential of different solar photovoltaic systems in Tanzania

Design and Simulation of an on-Grid Photovoltaic System

Contact Info

Product

Resources

About