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
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 48
- Type
- D - Journal article
- DOI
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10.1049/iet-rpg.2018.5301
- Title of journal
- IET Renewable Power Generation
- Article number
- -
- First page
- 399
- Volume
- 13
- Issue
- 3
- ISSN
- 1752-1416
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is one of the largest studies on the impact of tilt and azimuth angle variations on the energy production of photovoltaic (PV) installations. The work was core in developing a probabilistic approach to examine the best tilt and azimuth angle for more than 1000 photovoltaic (PV) installations installed in the region of Yorkshire, United Kingdom. Research findings were published by the IET Renewable Power Generation (journal rank: Q1 based on Scimago; IF 3.488). The proposed methodology currently used to analyse thousands of PV installations in the region of Fuzhou, China (Dr Z. Chen; zhicong.chen@fzu.edu.cn).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
