Reliable Averages and Risky Extremes - Analysis of Spatio-temporal Variability in solar Irradiance and Persistent Cloud Cover Patterns over Switzerland

Annelen Kahl; Juliette Blanchet; Bert Kruyt; Michael Lehning

doi:10.1016/j.egypro.2016.10.035

Reliable Averages and Risky Extremes - Analysis of Spatio-temporal Variability in solar Irradiance and Persistent Cloud Cover Patterns over Switzerland

Annelen Kahl, Juliette Blanchet, Bert Kruyt, Michael Lehning

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

With the perspective of Switzerland's phase-out from nuclear energy, solar energy potential may take an important role for the country's future in renewable energy. Based on 12 years of satellite-derived, spatially distributed data of daily average cloud factor, this work analyses cloud cover persistence over all of Switzerland. We used extreme value analysis to study spatial variation of extremal behaviour and to estimate return levels of weeklong cloud cover events throughout Switzerland. Extreme events show different patterns in winter and summer, but overall they occur more frequently and more severely in the northern part of the country and in Ticino.

Original language	English
Pages (from-to)	124-132
Number of pages	9
Journal	Energy Procedia
Volume	97
DOIs	https://doi.org/10.1016/j.egypro.2016.10.035
State	Published - 2016
Externally published	Yes
Event	European Geosciences Union General Assembly 2016, EGU Division Energy, Resources and the Environment, ERE 2016 - Vienna, Austria Duration: Apr 17 2016 → Apr 22 2016

Keywords

Extreme Value Analysis
MSG satellite imagery
Renewable Energy
Solar Power
Swiss Energy Strategy 2050

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10.1016/j.egypro.2016.10.035

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title = "Reliable Averages and Risky Extremes - Analysis of Spatio-temporal Variability in solar Irradiance and Persistent Cloud Cover Patterns over Switzerland",

abstract = "With the perspective of Switzerland's phase-out from nuclear energy, solar energy potential may take an important role for the country's future in renewable energy. Based on 12 years of satellite-derived, spatially distributed data of daily average cloud factor, this work analyses cloud cover persistence over all of Switzerland. We used extreme value analysis to study spatial variation of extremal behaviour and to estimate return levels of weeklong cloud cover events throughout Switzerland. Extreme events show different patterns in winter and summer, but overall they occur more frequently and more severely in the northern part of the country and in Ticino.",

keywords = "Extreme Value Analysis, MSG satellite imagery, Renewable Energy, Solar Power, Swiss Energy Strategy 2050",

author = "Annelen Kahl and Juliette Blanchet and Bert Kruyt and Michael Lehning",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors.; European Geosciences Union General Assembly 2016, EGU Division Energy, Resources and the Environment, ERE 2016 ; Conference date: 17-04-2016 Through 22-04-2016",

year = "2016",

doi = "10.1016/j.egypro.2016.10.035",

language = "English",

volume = "97",

pages = "124--132",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Reliable Averages and Risky Extremes - Analysis of Spatio-temporal Variability in solar Irradiance and Persistent Cloud Cover Patterns over Switzerland

AU - Kahl, Annelen

AU - Blanchet, Juliette

AU - Kruyt, Bert

AU - Lehning, Michael

PY - 2016

Y1 - 2016

N2 - With the perspective of Switzerland's phase-out from nuclear energy, solar energy potential may take an important role for the country's future in renewable energy. Based on 12 years of satellite-derived, spatially distributed data of daily average cloud factor, this work analyses cloud cover persistence over all of Switzerland. We used extreme value analysis to study spatial variation of extremal behaviour and to estimate return levels of weeklong cloud cover events throughout Switzerland. Extreme events show different patterns in winter and summer, but overall they occur more frequently and more severely in the northern part of the country and in Ticino.

AB - With the perspective of Switzerland's phase-out from nuclear energy, solar energy potential may take an important role for the country's future in renewable energy. Based on 12 years of satellite-derived, spatially distributed data of daily average cloud factor, this work analyses cloud cover persistence over all of Switzerland. We used extreme value analysis to study spatial variation of extremal behaviour and to estimate return levels of weeklong cloud cover events throughout Switzerland. Extreme events show different patterns in winter and summer, but overall they occur more frequently and more severely in the northern part of the country and in Ticino.

KW - Extreme Value Analysis

KW - MSG satellite imagery

KW - Renewable Energy

KW - Solar Power

KW - Swiss Energy Strategy 2050

UR - https://www.scopus.com/pages/publications/85008264270

U2 - 10.1016/j.egypro.2016.10.035

DO - 10.1016/j.egypro.2016.10.035

M3 - Conference article

AN - SCOPUS:85008264270

SN - 1876-6102

VL - 97

SP - 124

EP - 132

JO - Energy Procedia

JF - Energy Procedia

T2 - European Geosciences Union General Assembly 2016, EGU Division Energy, Resources and the Environment, ERE 2016

Y2 - 17 April 2016 through 22 April 2016

ER -

Reliable Averages and Risky Extremes - Analysis of Spatio-temporal Variability in solar Irradiance and Persistent Cloud Cover Patterns over Switzerland

Abstract

Keywords

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