Decadal Prediction for the European Energy Sector
ABSTRACT The timescale of decadal climate predictions, from a year‐ahead up to a decade, is an important planning horizon for stakeholders in the energy sector. With power systems transitioning towards a greater share of renewable energy sources, these systems become more sensitive to the variabilit...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-05-01
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| Series: | Meteorological Applications |
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| Online Access: | https://doi.org/10.1002/met.70054 |
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| author | Benjamin W. Hutchins David J. Brayshaw Len C. Shaffrey Hazel E. Thornton Doug M. Smith |
| author_facet | Benjamin W. Hutchins David J. Brayshaw Len C. Shaffrey Hazel E. Thornton Doug M. Smith |
| author_sort | Benjamin W. Hutchins |
| collection | DOAJ |
| description | ABSTRACT The timescale of decadal climate predictions, from a year‐ahead up to a decade, is an important planning horizon for stakeholders in the energy sector. With power systems transitioning towards a greater share of renewable energy sources, these systems become more sensitive to the variability of weather and climate, thus necessitating the provision of long‐range climate predictions to ensure effective planning and operation. As decadal predictions sample both the internal variability of the climate and the externally forced response, these forecasts potentially provide useful information for the upcoming decade. Here, we show for the first time that it is possible to make skillful decadal predictions for a range of energy sector relevant climate variables over the European region. We apply post‐processing techniques and identify skill in certain regions during both summer and winter for temperature, solar irradiance, and precipitation. We also show significant skill for 850 hPa zonal wind speed and the North Atlantic Oscillation during the extended winter period (October–March). We demonstrate how these forecasts can be used for important energy indicators, such as offshore wind capacity factors, comparing the skill of direct model output (using forecast variables directly) and pattern‐based approaches (e.g., using the NAO index). We find significant skill for predictions of modeled European energy variables, including Northern European offshore wind capacity factors (r = 0.73), UK electricity demand (r = 0.84), solar photovoltaic capacity factors in Spain (r = 0.63), and precipitation in Scandinavia (r = 0.64). Our results highlight the potential for skilful prediction of energy‐sector relevant quantities on decadal timescales. This could benefit both the planning and operation of the future energy system. |
| format | Article |
| id | doaj-art-acd0abc16e484423a2ac37ed735bc884 |
| institution | Kabale University |
| issn | 1350-4827 1469-8080 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Meteorological Applications |
| spelling | doaj-art-acd0abc16e484423a2ac37ed735bc8842025-08-20T03:58:40ZengWileyMeteorological Applications1350-48271469-80802025-05-01323n/an/a10.1002/met.70054Decadal Prediction for the European Energy SectorBenjamin W. Hutchins0David J. Brayshaw1Len C. Shaffrey2Hazel E. Thornton3Doug M. Smith4Department of Meteorology University of Reading Reading UKDepartment of Meteorology University of Reading Reading UKNational Oceanography Centre Southampton UKMet Office Hadley Centre Exeter UKMet Office Hadley Centre Exeter UKABSTRACT The timescale of decadal climate predictions, from a year‐ahead up to a decade, is an important planning horizon for stakeholders in the energy sector. With power systems transitioning towards a greater share of renewable energy sources, these systems become more sensitive to the variability of weather and climate, thus necessitating the provision of long‐range climate predictions to ensure effective planning and operation. As decadal predictions sample both the internal variability of the climate and the externally forced response, these forecasts potentially provide useful information for the upcoming decade. Here, we show for the first time that it is possible to make skillful decadal predictions for a range of energy sector relevant climate variables over the European region. We apply post‐processing techniques and identify skill in certain regions during both summer and winter for temperature, solar irradiance, and precipitation. We also show significant skill for 850 hPa zonal wind speed and the North Atlantic Oscillation during the extended winter period (October–March). We demonstrate how these forecasts can be used for important energy indicators, such as offshore wind capacity factors, comparing the skill of direct model output (using forecast variables directly) and pattern‐based approaches (e.g., using the NAO index). We find significant skill for predictions of modeled European energy variables, including Northern European offshore wind capacity factors (r = 0.73), UK electricity demand (r = 0.84), solar photovoltaic capacity factors in Spain (r = 0.63), and precipitation in Scandinavia (r = 0.64). Our results highlight the potential for skilful prediction of energy‐sector relevant quantities on decadal timescales. This could benefit both the planning and operation of the future energy system.https://doi.org/10.1002/met.70054climate predictionclimate servicesdecadal forecastingenergyrenewables |
| spellingShingle | Benjamin W. Hutchins David J. Brayshaw Len C. Shaffrey Hazel E. Thornton Doug M. Smith Decadal Prediction for the European Energy Sector Meteorological Applications climate prediction climate services decadal forecasting energy renewables |
| title | Decadal Prediction for the European Energy Sector |
| title_full | Decadal Prediction for the European Energy Sector |
| title_fullStr | Decadal Prediction for the European Energy Sector |
| title_full_unstemmed | Decadal Prediction for the European Energy Sector |
| title_short | Decadal Prediction for the European Energy Sector |
| title_sort | decadal prediction for the european energy sector |
| topic | climate prediction climate services decadal forecasting energy renewables |
| url | https://doi.org/10.1002/met.70054 |
| work_keys_str_mv | AT benjaminwhutchins decadalpredictionfortheeuropeanenergysector AT davidjbrayshaw decadalpredictionfortheeuropeanenergysector AT lencshaffrey decadalpredictionfortheeuropeanenergysector AT hazelethornton decadalpredictionfortheeuropeanenergysector AT dougmsmith decadalpredictionfortheeuropeanenergysector |