Impact of Climate Change on Combined Solar and Run-of-River Power in Northern Italy

Baptiste François, Benoit Hingray, Marco Borga, Davide Zoccatelli, Casey Brown and Jean-Dominique Creutin
Additional contact information
Baptiste François: Université de Grenoble-Alpes, CNRS, IGE, F-38000 Grenoble, France
Benoit Hingray: Université de Grenoble-Alpes, CNRS, IGE, F-38000 Grenoble, France
Marco Borga: Department of Land, Environment, Agriculture and Forestry, University of Padova, IT-35020 Padova, Italy
Davide Zoccatelli: Department of Geography, Hebrew University of Jerusalem, Jerusalem 9190401, Israel
Casey Brown: Department of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, MA 01003-9303, USA
Jean-Dominique Creutin: Université de Grenoble-Alpes, CNRS, IGE, F-38000 Grenoble, France

Energies, 2018, vol. 11, issue 2, 1-22

Abstract: Moving towards energy systems with high variable renewable energy shares requires a good understanding of the impacts of climate change on the energy penetration. To do so, most prior impact studies have considered climate projections available from Global Circulation Models (GCMs). Other studies apply sensitivity analyses on the climate variables that drive the system behavior to inform how much the system changes due to climate change. In the present work, we apply the Decision Scaling approach, a framework merging these two approaches, for analyzing a renewables-only scenario for the electric system of Northern Italy where the main renewable sources are solar and hydropower. Decision Scaling explores the system sensibility to a range of future plausible climate states. GCM projections are considered to estimate probabilities of the future climate states. We focus on the likely future energy mix within the region (25% of solar photovoltaic and 75% of hydropower). We also carry out a sensitivity analysis according to the storage capacity. The results show that run-of-the river power generation from this Alpine area is expected to increase although the average inflow decreases under climate change. They also show that the penetration rate is expected to increase for systems with storage capacity less than one month of average load and inversely for higher storage capacity.

Keywords: solar power; run-of-the river power; energy mix; Decision Scaling; climate change (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/2/290/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/2/290/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:2:p:290-:d:128667

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().