Abstract
| Language | English |
|---|---|
| Number of pages | 11 |
| Journal | IET Renewable Power Generation |
| Early online date | 22 Nov 2018 |
| DOIs | |
| Publication status | E-pub ahead of print - 22 Nov 2018 |
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CDF modelling for the optimum tilt and azimuth angle for PV installations: case study based on 26 different locations in region of the Yorkshire UK. / Dhimish, Mahmoud; Mather, Peter; Holmes, Violeta; Sibley, Martin.
In: IET Renewable Power Generation, 22.11.2018.Research output: Contribution to journal › Article
TY - JOUR
T1 - CDF modelling for the optimum tilt and azimuth angle for PV installations: case study based on 26 different locations in region of the Yorkshire UK
AU - Dhimish, Mahmoud
AU - Mather, Peter
AU - Holmes, Violeta
AU - Sibley, Martin
PY - 2018/11/22
Y1 - 2018/11/22
N2 - The optimum tilt and azimuth angle for PV installations in twenty-six different locations within the county of Yorkshire, UK have been evaluated. In order to examine the performance of the PV systems, a selection of criteria has been identified as follows: (i) the maximum difference in the age of the PV installations is no older than 2 years, (ii) PV modules technology is crystalline-Silicon (c-Si), (iii) maximum area of study in each location is 20 km2, and (iv) PV systems have either the same tilt or azimuth angle within ±2°. The Huddersfield area was used as the primary example to evaluate the proposed methodology. The optimum tilt and azimuth angle for PV installations in the area is 39°, and -1° respectively. Moreover, based on 4 kWp PV installations observed in all studied locations, a geographical map representing the annual energy production in the twenty-six locations has been drawn. The maximum annual energy production is observed for the city of Hull, whereas the minimum observed for the town of Keighley. Finally, the evaluation of the overall annual energy production is discussed using the analysis of the direct normal irradiance (DNI), ambient temperature, air frost, and the cloudiness.
AB - The optimum tilt and azimuth angle for PV installations in twenty-six different locations within the county of Yorkshire, UK have been evaluated. In order to examine the performance of the PV systems, a selection of criteria has been identified as follows: (i) the maximum difference in the age of the PV installations is no older than 2 years, (ii) PV modules technology is crystalline-Silicon (c-Si), (iii) maximum area of study in each location is 20 km2, and (iv) PV systems have either the same tilt or azimuth angle within ±2°. The Huddersfield area was used as the primary example to evaluate the proposed methodology. The optimum tilt and azimuth angle for PV installations in the area is 39°, and -1° respectively. Moreover, based on 4 kWp PV installations observed in all studied locations, a geographical map representing the annual energy production in the twenty-six locations has been drawn. The maximum annual energy production is observed for the city of Hull, whereas the minimum observed for the town of Keighley. Finally, the evaluation of the overall annual energy production is discussed using the analysis of the direct normal irradiance (DNI), ambient temperature, air frost, and the cloudiness.
KW - Solar energy
KW - Photovoltaics
KW - probability density functions
KW - Power loss
KW - Renewable energy
UR - https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2018.5301
U2 - 10.1049/iet-rpg.2018.5301
DO - 10.1049/iet-rpg.2018.5301
M3 - Article
JO - IET Renewable Power Generation
T2 - IET Renewable Power Generation
JF - IET Renewable Power Generation
SN - 1752-1416
ER -