In our recent paper, we investigate the changes in hydro operation due to 1⃣ increasingly wind and solar penetration in the grid (tweets 1-7) and 2⃣ climate change impact on inflow (tweets 8-18). Results from a great MSc project by Ebbe Gøtske @iScience_CP
doi.org/10.1016/j.isci…
1/ First, a disclaimer. We use PyPSA-Eur-Sec to model the sector-coupled European Energy system. The model assumes perfect foresight for the entire year, which entails an optimal operation of hydro reservoirs. How realistic is that?
2/ To answer that question, we compared the modelled hydro dispatch in 2020 with historically observed data. Modelled daily operation is within observed ranges, but modelled seasonality is a little more extreme than observed ranges.
3/ This means that the perfect foresight assumption is too optimistic. Constraints in hydro operation due to flood controls or water supply patterns might not be properly captured by the model.
4/ What do we expect in the future? By 2050, the hydropower operation will have to change to balance renewable fluctuation. In Spain, hydro shifts to night and winter, being almost zero at midday. In Norway, hydro compensates for fluctuations of wind generation in the region.
5/ Is the operation of hydro in 2050 doable?
Historical data for Norway shows that hydro acts as a huge battery charging in June and discharging in winter, so there is room for changing its operation.
6/ In Spain, historical inflow and dispatch are more correlated. However, since the operation in 2050 requires increasing hydro dispatch in winter (when the inflow is higher), the change also seems possible.
7/ Will hydro need to ramp up/down faster? Modelled data for 2020 show similar/lower ramps than historical values. In the future, we see a more on/off operation of hydro with some ramp peaks higher than historical values (occurring very sporadically)
8/ What would be the impact of climate change on hydro inflow? To ensure that we can detect a robust signal, we used 5 General Circulation Models (GCM), 2 Regional Climate Model (RCM), 3 emissions scenarios (RCP2.6, 4.5 and 8.5), and 30 years of data for Beginning/End Of Century.
9/ Runoff from climate models is converted into inflow using #atlite and the location of hydropower plants from JRC.

github.com/energy-modelli…
10/ A similar methodology was introduced by @HailiangLiu in doi.org/10.1016/j.mex.…
11/ The key question here is the following: Can we observe a clear climate signal on top of GCM-variability, RCM-variability and interannual-variability?
Lots of details in the paper, but we found that:
Interannual variability > GCM-variability > RCM variability
12/ Then we compared two ensembles at the Beginning of the century (BOC) and End of the century (EOC). Each of the ensembles comprises 300 data (10 models x 30 years).
13/ We implemented a t-test to check that, regardless of the variability, the mean annual inflow at the BOC and EOC is different. We found that climate change impacts are statistically significant for 20 out of the 22 countries investigated.
14/ For RCP 8.5, the annual inflow in Spain reduces by 30%. In Norway, it increases by 20%. Seasonality changes. In Norway, less ice forming (due to higher temperatures) increases inflow in winter and decreases in spring. For Spain, inflow gets reduced throughout the whole year.
15/ Fortunately, it is highly improbable that we end up in the RCP8.5 scenario. For RCP4.5 and RCP2.6. The climate signal is also statistically meaningful for most countries.
16/ For RCP4.5, Spain inflow reduces by 14% and Norway increases by 8%.
17/ Furthermore, not only the average changes are important but also how climate change will impact droughts. For Mediterranean countries, droughts become more frequent and severe (longer duration). This could stress an energy system that counts on hydro for balancing.
18/ In 2050, climate change impacts on hydro need to be compensated, e.g. increasing solar capacity in southern countries. These results only include average changes, but significant questions remain open. How do we prepare our energy system to deal with extreme events?
19/ More details in the paper: doi.org/10.1016/j.isci…
Time series for hydro inflow at BOC and EOC for the European countries: zenodo.org/record/5106349…
See also the key resource tables for all the relevant links

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More from @martavictoria_p

30 Mar
(22/n) An extra common question regarding PV (usually this is not a problem in IAMs): Do we have enough space? Yes, generating the world current electricity consumption with PV would require 0.3% of the available land. More detailed calculations confirm this result, see SI
(23/n) In some specific regions (highly populated) space could be a problem. Innovations at the plant level include also dual use of infrastructure/land: rooftop PV, agrivoltaics, floating PV, irrigation channels ...
bbc.com/future/article…
ingenioer.au.dk/en/current/new…
(24/n) Another common question: Do we have enough materials? Silver used to manufacture contacts is the most critical material for Silicon solar cells, but again the technology is learning fast: less mg Silver/W are required every year. Image
Read 8 tweets
30 Mar
We have just published a perspective in @Joule_CP. Main message: Although underestimated by many models, solar PV has a large potential for mitigating climate change in the next decade which is key to remain on a path compatible with the Paris Agreement. authors.elsevier.com/a/1cpj3925JEG7…
As stated in the summary, our aim is to open a constructive discussion among PV experts, modellers, and policymakers regarding how to improve the representation of this technology in the models, and how to ensure that manufacturing and installation of solar PV can ramp up on time
Summary threat (a long one, so you may select what you are interested in)
Tweets 1-7: how solar become so cheap so fast
Tweets 8-9: innovations in the pipeline
Tweets 10-20: why some models have underestimated the potential of PV
Tweets 21-29: challenges for a fast ramping up
Read 25 tweets

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