Peak sun hours, Beyla
- Mean
- 160 HEP
- Seasonal range
- 34 HEP
- Highest
- March (175)
- Lowest
- August (141)
- Year-to-year variability
- ± 2.38 (1.5 %)
- Values
- 390 months
- Monthly value
- 12-month moving average
- Period mean
- Month above its normal
- Month below
- 12-month moving average
Drag across the chart to zoom, double-click to reset.
For each month, over 30 years: median, low and high years (P10 to P90) and extreme values.
- Median
- Low and high years (P10 to P90)
- Extreme values (min. to max.)
Mean of each complete year, as a gap to the period mean (160 HEP).
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020 | 174 | 170 | 168 | 164 | 167 | 153 | 131 | 137 | 146 | 180 | 171 | 162 | 160 |
| 2019 | 182 | 162 | 182 | 160 | 168 | 149 | 139 | 143 | 145 | 160 | 165 | 180 | 161 |
| 2018 | 171 | 150 | 176 | 153 | 164 | 144 | 138 | 133 | 146 | 171 | 153 | 175 | 156 |
| 2017 | 182 | 151 | 179 | 177 | 165 | 147 | 143 | 135 | 158 | 179 | 157 | 163 | 161 |
| 2016 | 158 | 165 | 183 | 172 | 170 | 148 | 134 | 141 | 148 | 171 | 156 | 165 | 159 |
| 2015 | 169 | 157 | 180 | 168 | 173 | 147 | 152 | 141 | 152 | 161 | 165 | 167 | 161 |
| 2014 | 165 | 160 | 175 | 171 | 166 | 149 | 152 | 137 | 147 | 169 | 149 | 171 | 159 |
| 2013 | 181 | 158 | 175 | 176 | 167 | 148 | 145 | 137 | 151 | 163 | 161 | 168 | 161 |
| 2012 | 183 | 148 | 168 | 165 | 164 | 144 | 135 | 140 | 140 | 160 | 153 | 166 | 156 |
| 2011 | 162 | 162 | 175 | 167 | 168 | 140 | 138 | 140 | 151 | 163 | 155 | 170 | 158 |
| 2010 | 177 | 157 | 156 | 156 | 165 | 152 | 144 | 139 | 144 | 152 | 155 | 157 | 154 |
| 2009 | 170 | 145 | 168 | 166 | 173 | 152 | 140 | 135 | 151 | 162 | 156 | 167 | 157 |
| 2008 | 187 | 158 | 175 | 164 | 170 | 153 | 149 | 137 | 146 | 167 | 167 | 166 | 162 |
| 2007 | 160 | 161 | 170 | 155 | 174 | 157 | 143 | 138 | 143 | 164 | 155 | 169 | 158 |
| 2006 | 174 | 154 | 168 | 162 | 167 | 151 | 147 | 139 | 145 | 165 | 172 | 168 | 159 |
| 2005 | 156 | 137 | 168 | 163 | 169 | 134 | 152 | 143 | 156 | 168 | 152 | 164 | 155 |
| 2004 | 169 | 148 | 162 | 151 | 159 | 148 | 141 | 153 | 162 | 175 | 160 | 150 | 157 |
| 2003 | 161 | 161 | 176 | 172 | 175 | 143 | 147 | 134 | 151 | 170 | 153 | 171 | 159 |
| 2002 | 165 | 162 | 179 | 163 | 167 | 154 | 146 | 156 | 153 | 172 | 160 | 171 | 162 |
| 2001 | 178 | 171 | 177 | 172 | 177 | 149 | 143 | 145 | 150 | 172 | 150 | 166 | 162 |
| 2000 | 161 | 174 | 183 | 169 | 175 | 143 | 148 | 144 | 146 | 163 | 158 | 162 | 161 |
| 1999 | 170 | 162 | 171 | 167 | 181 | 166 | 150 | 142 | 148 | 160 | 145 | 160 | 160 |
| 1998 | 169 | 156 | 196 | 165 | 173 | 154 | 151 | 148 | 151 | 164 | 161 | 152 | 162 |
| 1997 | 166 | 167 | 176 | 159 | 171 | 143 | 147 | 150 | 156 | 166 | 158 | 159 | 160 |
| 1996 | 175 | 153 | 176 | 159 | 165 | 159 | 149 | 153 | 156 | 174 | 164 | 167 | 162 |
| 1995 | 182 | 165 | 163 | 155 | 173 | 158 | 148 | 146 | 149 | 172 | 162 | 161 | 161 |
| 1994 | 177 | 147 | 178 | 168 | 177 | 167 | 155 | 155 | 152 | 154 | 166 | 163 | 163 |
| 1993 | 173 | 151 | 168 | 169 | 162 | 158 | 149 | 160 | 156 | 174 | 156 | 158 | 161 |
| 1992 | 170 | 156 | 180 | 162 | 158 | 145 | 144 | 149 | 154 | 171 | 151 | 166 | 159 |
| 1991 | 164 | 155 | 155 | 162 | 158 | 164 | 145 | 144 | 163 | 166 | 154 | 161 | 158 |
| Median | 170 | 157 | 175 | 164 | 168 | 149 | 146 | 141 | 151 | 167 | 156 | 166 | |
| P10 | 161 | 148 | 162 | 155 | 162 | 143 | 138 | 135 | 145 | 160 | 151 | 158 | |
| P90 | 182 | 167 | 182 | 172 | 175 | 159 | 152 | 153 | 157 | 174 | 166 | 171 | |
| Min. | 156 | 137 | 155 | 151 | 158 | 134 | 131 | 133 | 140 | 152 | 145 | 150 | |
| Max. | 187 | 174 | 196 | 177 | 181 | 167 | 155 | 160 | 163 | 180 | 172 | 180 |
CSV file
390 rows, 16 KB. Columns: period, value, unit, confidence level, status.
periode_type,annee_debut,annee_fin,mois,version_formule,valeur,unite,niveau_confiance,statut annuel,1991,1991,,1,1892.72,HEP,B,brut mensuel,1991,1991,1,1,164.036,HEP,B,brut mensuel,1991,1991,2,1,155.453,HEP,B,brutDownload the CSV
API
The same series, versioned, with a free key.
curl -H "Authorization: Bearer kuma_votre_cle" \ "https://api.kumascience.com/v1/series/gin_beyla_hep_kuma_calculs_1991_2020?format=csv"
Python
Read the published file directly with pandas.
import pandas as pd url = "https://kumascience.com/data/guinee/beyla/hep.csv" df = pd.read_csv(url) df.head()
Same variable, other sources
2 series published for this variable in Beyla. The gap compares period means, which do not always cover the same years.
| Source | Period | Step | Mean (HEP) | Gap | 159160 |
|---|---|---|---|---|---|
| Kuma computation this record | 1991-2020 | monthly | 160 | reference | |
| Kuma computation | 2021-2025 | monthly | 159 | −0.1 % |
Notes
- Source
- Kuma Science, Internal calculations layer
- Method
- Kuma-derived computation
- Unit
- HEP
- Time step
- Monthly
- Period
- 1991-01-01 - 2020-12-31
- Kuma qualification
- Acceptable qualification, series derived by computation
- Source licence
- Licence à vérifier auprès de la source amont avant réutilisation.
- Kuma licence
- CC-BY 4.0, DOI 10.5281/zenodo.21051755
Cite this series
Kuma Science (2026). Peak sun hours, Beyla (Guinea), 1991-2020. Kuma computation series, Guinea national energy data reference. DOI 10.5281/zenodo.21051755. https://kumascience.com/en/donnees/gin_beyla_hep_kuma_calculs_1991_2020
@misc{kuma_gin_beyla_hep_kuma_calculs_1991_2020,
author = {{Kuma Science}},
title = {Peak sun hours, Beyla (Guinea), 1991-2020},
year = {2026},
howpublished = {Kuma computation series},
doi = {10.5281/zenodo.21051755},
url = {https://kumascience.com/en/donnees/gin_beyla_hep_kuma_calculs_1991_2020},
note = {License CC-BY 4.0}
}TY - DATA AU - Kuma Science TI - Peak sun hours, Beyla (Guinea), 1991-2020 PY - 2026 PB - Kuma Science DO - 10.5281/zenodo.21051755 UR - https://kumascience.com/en/donnees/gin_beyla_hep_kuma_calculs_1991_2020 N1 - Kuma computation ER -
Also cite the primary source, whose licence applies to the published values.
Astuce pratique · Pour citer cette fiche dans un rapport BE ou un livrable client, sélectionnez le bloc ci-dessus puis copiez-collez. Le slug de la série (le code présent dans l'URL) garantit la reproductibilité : la même URL pointera vers la même série, même après mises à jour des données amont (l'historique versionné côté Data Core est préservé).
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