Issue |
E3S Web Conf.
Volume 181, 2020
2020 5th International Conference on Sustainable and Renewable Energy Engineering (ICSREE 2020)
|
|
---|---|---|
Article Number | 03001 | |
Number of page(s) | 5 | |
Section | Power and Energy Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202018103001 | |
Published online | 24 July 2020 |
Simulation of large PV energy facilities with SAM HCPV and PV detailed models
Mechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd University,, Saudi Arabia
* Corresponding author: a.a.boretti@gmail.com
Here we compare the measured energy production of the solar photovoltaic (PV) energy facilities of Solar Star and Desert Sunlight with the values computed in National Renewable Energy Laboratory (NREL) System Advisor Model (SAM), by using the SAM database for the typical weather, and the different models available, the high concentration photovoltaic (HCPV) model, as well as the PV detailed model. Both models are semi-empirical. The HCPV is the most sophisticated model, permitting the specification of a much larger number of parameters. The detailed PV model is less flexible. The comparison shows that SAM computes winter and summer energy productions that are much closer than what is shown by the experiments, dramatically underrating the seasonal variability. This is due to a solar resource for direct normal irradiance during winter and summer that is much closer to what is shown by other databases, such as Weather Spark, for their incident shortwave solar energy inclusive of seasonal variations, the elevation of the Sun above the horizon, and absorption by clouds and other atmospheric constituents. The contribution highlights the issue of the mostly missing validation of renewable energy tools, in needs of proper high-frequency simultaneous weather and plant data, both at the system and the level of the individual components, before their use for performance estimations.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.