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

被引:33
作者
Francois, Baptiste [1 ,2 ,3 ]
Hingray, Benoit [1 ]
Borga, Marco [2 ]
Zoccatelli, Davide [4 ]
Brown, Casey [3 ]
Creutin, Jean-Dominique [1 ]
机构
[1] Univ GrenobleAlpes, CNRS, IGE, F-38000 Grenoble, France
[2] Univ Padua, Dept Land Environm Agr & Forestry, IT-35020 Padua, Italy
[3] Univ Massachusetts Amherst, Dept Civil & Environm Engn, Amherst, MA 01003 USA
[4] Hebrew Univ Jerusalem, Dept Geog, IL-9190401 Jerusalem, Israel
关键词
solar power; run-of-the river power; energy mix; Decision Scaling; climate change; MODEL UNCERTAINTY COMPONENTS; RENEWABLE ENERGY; INTERNAL VARIABILITY; WATER-RESOURCES; BALANCING NEEDS; WIND ENERGY; HYDROPOWER; SYSTEM; GENERATION; STORAGE;
D O I
10.3390/en11020290
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
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页数:22
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