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Future Alpine hydropower production Impacts of climate change, environmental flow and technical optimization on Run-of-River power plants in Switzerland Session HS5.3.2 Wechsler Tobias 1,2,3,5 , Stähli Manfred 1,5 , Zappa Massimiliano 1,5 , Jorde Klaus 4,5 , Schaefli Bettina 2,3,5 1 Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland 2 Institute of Geography, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland 3 Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Falkenplatz 16, 3012 Bern, Switzerland 4 KJ Consult, Ferdinand-Raunegger-Gasse 26, 9020 Klagenfurt, Austria 5 Swiss Competence Center for Energy Research – Supply of Electricity (SCCER-SoE), Sonneggstrasse 5, 8092 Zurich, Switzerland Research questions How will Run-of-River (RoR) power production in Switzerland change under climate change? What does the climate induced change in hydropower (HP) production mean compared to the potential increase by optimizing the design discharge or to losses due to environmental flow requirements? Method To assess climate change impacts, daily runoff until the end of the century was calculated with the hydrological model PREVAH, using a total of 26 climate model chains in transient simula- tion from the new Swiss Climate Change Scenarios CH2018, corresponding to the two differ - ent CO 2 emission scenarios RCP2.6 (with the assumption of concerted mitigation efforts) and RCP8.5 (with the assumption of no climate change mitigation). Changes in HP generation un- der climate change are estimated for eleven RoR power plants based on differences in the flow duration curves (FDCs) between the reference period (1981–2010) and the future periods mid-century (2045–2074) and end of the century (2070–2099), assuming unchanged installed machinery and environmental flow requirements (Fig. 1). The changes in HP production from RoR power plants depends mainly on the change in the usable water volume, which is controlled by the design discharge of the power plant and the environmental flow regulations. The potential of the design discharge is estimated in this study by assuming that it equals the flow which is exceeded at 80% percentile based on the mean FDC of the reference period (Fig. 1). The loss due to environmental flow regulations is com- pared with the scenario as if there were no environmental flow currently. RoR plant Wildegg/Brugg – Aare RoR plant Davos Glaris – Landwasser (a typical river of the Swiss plateau) (a typical alpine river) The water volume usable for HP production (shaded area – Fig. 1) depends mainly on low and medium water ranges. For the RoR power plant Wildegg-Brugg, the hydrological predictions indicate that both the average water supply and the annual production will decrease in the fu- ture (Fig. 2 left). For the RoR power plant Davos Glaris, which is heavily influenced by snow, the total water supply will decline by the end of the century; still, HP production is likely to in- crease due to the change in the lower and medium water range (Fig. 2 right). Results Change in mean annual production for eleven selected RoR power plants Change in mean winter production (Oct – Mar) Fig. 3. Expected changes in annual (above) and winter (below) production of selected Swiss run-of-river power plants for the periods 2060 (mid-century, 2045–2074) and 2085 (end of century, 2070–2099). The calculations are based on the most recent Climate Change Scenarios CH2018 established by MeteoSwiss (21 climate models; two emission scenarios: with concerted mitigation efforts RCP2.6 and no climate change mitigation RCP8.5) and a state-of-the-art hydrological model (PREVAH), taking into account current installed machinery and environmental flow requirements. Overall projection for RoR power production in Switzerland Climate induced changes in production are due to changes in precipitation, temperature and evaporation, which in turn have a strong impact on the dominant hydrological processes (snow accumulation and melt, glacier melt and runoff production), and show important spatial and temporal differences. Climate change impact on production for the eleven considered RoR power plants (Fig. 3) means: For the eleven RoR power plants under current hydrological conditions, the potential that could be achieved by optimizing the design discharge (Q d pot = 80% per - centile) is an increase of 6% in production. Compliance with legal constraints on environmental flow rates, compared to no residual flow, means a decrease of 4% in production. Reference SCCER-SoE, 2019: Climate change impact on Swiss hydropower production: synthesis report. Swiss Competence Center for Energy Research – Supply of Electricity. Zurich, Switzerland. 28 p. ( ( ( ( ( ( ( ( ( ( 10% 5% 0% 1.5% -1.5% -5% -10% 2060 2085 RCP26 RCP85 < 50 GWh/a < 200 GWh/a < 400 GWh/a < 500 GWh/a > 500 GWh/a < 50 GWh/a < 200 GWh/a < 400 GWh/a < 500 GWh/a > 500 GWh/a 2060 2085 RCP26 RCP85 10% 5% 0% 1.5% -1.5% -5% -10% Fig. 1. Flow duration curves (FDCs) for the RoR power plants Wildegg-Brugg (Aare; left) and Glaris (Land- wasser; right). The black line represents the reference period (1981–2010), the grey shaded area represents the usable water volume controlled by the design discharge and the environmental flow requirements. The areas bounded by yellow curves and purple curves represent the range of FDCs for the projected RCP2.6 and RCP8.5 emissions scenarios, respectively, for the end of the century. Q d represents the current design discharge; Q d pot the design discharge at the 80% percentile if it is not exceeded yet. Fig. 2. The expected changes in the annual mean discharge [MQ] and mean production [GWh/a] at the Wild- egg-Brugg power plant (left) and at the Glaris power plant (right) for the end of the century. The black line indi- cates the median value of the reference period. The yellow (RCP2.6) and purple (RCP8.5) boxplots represent the range of the different model chains under current design discharge and environmental flow requirements. Q d Q d Q d pot 0% -3% -2% -7% Future annual production Future winter production RCP2.6 RCP8.5 RCP2.6 RCP8.5 6% 8% 5% 10% 2060 2085 2060 2085

Session HS5.3.2 Future Alpine hydropower production€¦ · Session HS5.3.2 Wechsler Tobias1,2,3,5, Stähli Manfred1,5, Zappa Massimiliano1,5, Jorde Klaus4,5, Schaefli Bettina2,3,5

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Page 1: Session HS5.3.2 Future Alpine hydropower production€¦ · Session HS5.3.2 Wechsler Tobias1,2,3,5, Stähli Manfred1,5, Zappa Massimiliano1,5, Jorde Klaus4,5, Schaefli Bettina2,3,5

Future Alpine hydropower productionImpacts of climate change, environmental flow and technical optimization on Run-of-River power plants in Switzerland

Session HS5.3.2

Wechsler Tobias1,2,3,5, Stähli Manfred1,5, Zappa Massimiliano1,5, Jorde Klaus4,5, Schaefli Bettina2,3,5

1Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland2Institute of Geography, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland3Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Falkenplatz 16, 3012 Bern, Switzerland 4KJ Consult, Ferdinand-Raunegger-Gasse 26, 9020 Klagenfurt, Austria5Swiss Competence Center for Energy Research – Supply of Electricity (SCCER-SoE), Sonneggstrasse 5, 8092 Zurich, Switzerland

Research questions• How will Run-of-River (RoR) power production in Switzerland change

under climate change? • What does the climate induced change in hydropower (HP) production

mean compared to the potential increase by optimizing the design discharge or to losses due to environmental flow requirements?

MethodToassessclimatechangeimpacts,dailyrunoffuntiltheendofthecenturywascalculatedwiththehydrologicalmodelPREVAH,usingatotalof26climatemodelchainsintransientsimula-tionfromthenewSwissClimateChangeScenariosCH2018,correspondingtothetwodiffer-entCO2emissionscenariosRCP2.6(withtheassumptionofconcertedmitigationefforts)andRCP8.5(withtheassumptionofnoclimatechangemitigation).ChangesinHPgenerationun-derclimatechangeareestimatedforelevenRoRpowerplantsbasedondifferencesintheflowdurationcurves(FDCs)betweenthereferenceperiod(1981–2010)andthefutureperiodsmid-century(2045–2074)andendofthecentury(2070–2099),assumingunchangedinstalledmachineryandenvironmentalflowrequirements(Fig.1).ThechangesinHPproductionfromRoRpowerplantsdependsmainlyonthechangeintheusablewatervolume,whichiscontrolledbythedesigndischargeofthepowerplantandtheenvironmentalflowregulations.Thepotentialofthedesigndischargeisestimatedinthisstudybyassumingthatitequalstheflowwhichisexceededat80%percentilebasedonthemeanFDCofthereferenceperiod(Fig.1).Thelossduetoenvironmentalflowregulationsiscom-paredwiththescenarioasiftherewerenoenvironmentalflowcurrently.

RoR plant Wildegg/Brugg – Aare RoR plant Davos Glaris – Landwasser(atypicalriveroftheSwissplateau) (atypicalalpineriver)

ThewatervolumeusableforHPproduction(shadedarea–Fig.1)dependsmainlyonlowandmediumwaterranges.FortheRoRpowerplantWildegg-Brugg,thehydrologicalpredictionsindicatethatboththeaveragewatersupplyandtheannualproductionwilldecreaseinthefu-ture(Fig.2left).FortheRoRpowerplantDavosGlaris,whichisheavilyinfluencedbysnow,thetotalwatersupplywilldeclinebytheendofthecentury;still,HPproductionislikelytoin-creaseduetothechangeinthelowerandmediumwaterrange(Fig.2right).

ResultsChange in mean annual productionfor eleven selected RoR power plants

Change in mean winter production (Oct – Mar)

Fig.3.Expectedchangesinannual(above)andwinter(below)productionofselectedSwissrun-of-riverpowerplantsfortheperiods2060(mid-century,2045–2074)and2085(endofcentury,2070–2099).ThecalculationsarebasedonthemostrecentClimateChangeScenariosCH2018establishedbyMeteoSwiss(21climatemodels;twoemissionscenarios:withconcertedmitigationeffortsRCP2.6andnoclimatechangemitigationRCP8.5)andastate-of-the-arthydrologicalmodel(PREVAH),takingintoaccountcurrentinstalledmachineryandenvironmentalflowrequirements.

Overall projection for RoR power production in SwitzerlandClimateinducedchangesinproductionareduetochangesinprecipitation,temperatureandevaporation,whichinturnhaveastrongimpactonthedominanthydrologicalprocesses(snowaccumulationandmelt,glaciermeltandrunoffproduction),andshowimportantspatialandtemporaldifferences.Climatechangeimpactonproductionfor theelevenconsideredRoRpowerplants(Fig.3)means:

FortheelevenRoRpowerplantsundercurrenthydrologicalconditions,• thepotentialthatcouldbeachievedbyoptimizingthedesigndischarge(Qdpot=80%per-

centile)isanincrease of 6% inproduction.• Compliancewithlegalconstraintsonenvironmentalflowrates,comparedtonoresidual

flow,meansadecreaseof4%inproduction.

ReferenceSCCER-SoE, 2019:Climate change impact onSwiss hydropower production: synthesisreport. Swiss Competence Center for Energy Research – Supply of Electricity. Zurich,Switzerland.28p.

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Change in annual production [GWh/year]

10%5%

0%1.5%

-1.5%-5%

-10%

2060 2085

RCP26

RCP85

< 50 GWh/a< 200 GWh/a< 400 GWh/a< 500 GWh/a> 500 GWh/a

Change in winter production [GWh/winter]

< 50 GWh/a< 200 GWh/a< 400 GWh/a< 500 GWh/a> 500 GWh/a

2060 2085

RCP26

RCP85

10%5%

0%1.5%

-1.5%-5%

-10%

Fig.1.Flowdurationcurves(FDCs) for theRoRpowerplantsWildegg-Brugg(Aare; left)andGlaris(Land-wasser;right).Theblacklinerepresentsthereferenceperiod(1981–2010),thegreyshadedarearepresentstheusablewatervolumecontrolledbythedesigndischargeandtheenvironmentalflowrequirements.TheareasboundedbyyellowcurvesandpurplecurvesrepresenttherangeofFDCsfortheprojectedRCP2.6andRCP8.5emissionsscenarios,respectively,fortheendofthecentury.Qdrepresentsthecurrentdesigndischarge;Qdpotthedesigndischargeatthe80%percentileifitisnotexceededyet.

Fig.2.Theexpectedchangesintheannualmeandischarge[MQ]andmeanproduction[GWh/a]attheWild-egg-Bruggpowerplant(left)andattheGlarispowerplant(right)fortheendofthecentury.Theblacklineindi-catesthemedianvalueofthereferenceperiod.Theyellow(RCP2.6)andpurple(RCP8.5)boxplotsrepresenttherangeofthedifferentmodelchainsundercurrentdesigndischargeandenvironmentalflowrequirements.

Qd

Qd

Qdpot

0%

-3%

-2%

-7%

6%

8%

5%

10%

2060 2085

RCP2.6

RCP8.5

2060 2085

RCP2.6

RCP8.5

Future annual production Future winter production

RCP2.6

RCP8.5

RCP2.6

RCP8.5

0%

-3%

-2%

-7%

6%

8%

5%

10%

2060 2085

RCP2.6

RCP8.5

2060 2085

RCP2.6

RCP8.5

2060 2085 2060 2085