Climate Change and Renewable Energy Generation in Europe—Long-Term Impact Assessment on Solar and Wind Energy Using High-Resolution Future Climate Data and Considering Climate Uncertainties
Yang, Yuchen LU ; Javanroodi, Kavan and Nik, Vahid M. LU
(2022)
In Energies
15(1).
- Abstract
Climate change can strongly affect renewable energy production. The state of the art in projecting future renewable energy generation has focused on using regional climate prediction. However, regional climate prediction is characterized by inherent uncertainty due to the complexity of climate models. This work provides a comprehensive study to quantify the impact of climate uncertainties in projecting future renewable energy potential over five climate zones of Europe. Thirteen future climate scenarios, including five global climate models (GCMs) and three representative concentration pathways (RCPs), are downscaled by the RCA4 regional climate model (RCM) over 90 years (2010–2099), divided into three 30-year periods. Solar and wind... (More)
Climate change can strongly affect renewable energy production. The state of the art in projecting future renewable energy generation has focused on using regional climate prediction. However, regional climate prediction is characterized by inherent uncertainty due to the complexity of climate models. This work provides a comprehensive study to quantify the impact of climate uncertainties in projecting future renewable energy potential over five climate zones of Europe. Thirteen future climate scenarios, including five global climate models (GCMs) and three representative concentration pathways (RCPs), are downscaled by the RCA4 regional climate model (RCM) over 90 years (2010–2099), divided into three 30-year periods. Solar and wind energy production is projected considering short-/long-term climate variations and uncertainties in seven representative cities (Narvik, Gothenburg, Munich, Antwerp, Salzburg, Valencia, and Athens). The results showed that the uncertainty caused by GCMs has the most substantial impact on projecting renewable energy generation. The variations due to GCM selection can become even larger than long-term climate change variations over time. Climate change uncertainties lead to over 23% and 45% projection differences for solar PV and wind energy potential, respectively. While the signal of climate change in solar radiation is weak between scenarios and over time, wind energy generation is affected by 25%.
(Less)
- author
- Yang, Yuchen
LU
; Javanroodi, Kavan
and Nik, Vahid M.
LU
- organization
- publishing date
- 2022-01-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Climate change, Climate uncertainties, Future climate data, Solar energy, Wind energy
- in
- Energies
- volume
- 15
- issue
- 1
- article number
- 302
- publisher
- MDPI AG
- external identifiers
-
- scopus:85122160520
- ISSN
- 1996-1073
- DOI
- 10.3390/en15010302
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
- id
- 6102d4c0-0a5a-4677-b273-8ed45e620a97
- date added to LUP
- 2022-02-28 14:43:22
- date last changed
- 2024-01-12 14:41:41
@article{6102d4c0-0a5a-4677-b273-8ed45e620a97,
abstract = {{<p>Climate change can strongly affect renewable energy production. The state of the art in projecting future renewable energy generation has focused on using regional climate prediction. However, regional climate prediction is characterized by inherent uncertainty due to the complexity of climate models. This work provides a comprehensive study to quantify the impact of climate uncertainties in projecting future renewable energy potential over five climate zones of Europe. Thirteen future climate scenarios, including five global climate models (GCMs) and three representative concentration pathways (RCPs), are downscaled by the RCA4 regional climate model (RCM) over 90 years (2010–2099), divided into three 30-year periods. Solar and wind energy production is projected considering short-/long-term climate variations and uncertainties in seven representative cities (Narvik, Gothenburg, Munich, Antwerp, Salzburg, Valencia, and Athens). The results showed that the uncertainty caused by GCMs has the most substantial impact on projecting renewable energy generation. The variations due to GCM selection can become even larger than long-term climate change variations over time. Climate change uncertainties lead to over 23% and 45% projection differences for solar PV and wind energy potential, respectively. While the signal of climate change in solar radiation is weak between scenarios and over time, wind energy generation is affected by 25%.</p>}},
author = {{Yang, Yuchen and Javanroodi, Kavan and Nik, Vahid M.}},
issn = {{1996-1073}},
keywords = {{Climate change; Climate uncertainties; Future climate data; Solar energy; Wind energy}},
language = {{eng}},
month = {{01}},
number = {{1}},
publisher = {{MDPI AG}},
series = {{Energies}},
title = {{Climate Change and Renewable Energy Generation in Europe—Long-Term Impact Assessment on Solar and Wind Energy Using High-Resolution Future Climate Data and Considering Climate Uncertainties}},
url = {{http://dx.doi.org/10.3390/en15010302}},
doi = {{10.3390/en15010302}},
volume = {{15}},
year = {{2022}},
}