with
three climatic scenarios
EMPS-model
Water-values and simulation
Climatic scenarios
Reference, Echam, Hadam
Data provided by NVE, SMHI and SYKE
Electricity system model in 2020
Predictions made by Eurelectric and Statnett
Fuel costs in 2020
Data provided by EA energy analyses
Sintef Energy Research Quantitative system analysis 4 of 21
Introduction
Electricity system model
Simulation results
Summary
/media/ces/Mo_Birger_CES_2010.pdf
(alb: AWS)
MODELLING LONG-TERM SUMMER AND WINTER BALANCES
? The authors 2009
Journal compilation ? 2009 Swedish Society for Anthropology and Geography 241
ed temperatures relative to –20°C to account for de-cay of snow albedo at temperatures below the melt-ing point, following a study by Winther (1993). Wetested both approaches, and chose to use –5°C asthe minimum for the accumulated temperature
/media/ces/GA_2009_91A_4_Andreassen.pdf
/ design,
availability, materials, ICT,
modal split)
26.8.2011Adriaan Perrels/IL 5
Categorising stages of adaptation
Passive Adaptation
- automatic in nature
and economy
- only ex post measures
(no anticipation)
Active Adaptation
- automatic in nature
and economy
- ex ante and ex post
policies
Emission scenario dependent
baseline (A1-T, B1, A2, etc.)
Reference costs and benefits
/media/loftslag/Perrels-CBA.pdf
(Quante and Colijn, 2016). Work on risk analysis and adaptation is in different
stages in the countries of the world.
Coastal floods have caused problems in Iceland in the past (Jóhannsdóttir, 2017) and are likely to do
so in the future as well. Large coastal floods can be expected in Iceland every 10 - 20 years and the
probability of such events can rise with climate change (Almannavarnir, 2011
/media/vedurstofan-utgafa-2020/VI_2020_005.pdf
bodies of management,
decision-support, risk, and participation literature.
d’Aquino (2008)
Patrick d’Aquino relies on 20 years of
implementation and evaluation experience, mostly
in a natural resource management context and in
developing countries. His approach is, at this point,
the least conceptually developed design method of
the guides presented here, although it is linked to a
theoretical
/media/loftslag/vonKorff_etal-2010.pdf
236
1992 09 167 124 167 98
1995 07 1994 1759 599 368
1995 10 96 62 73 37
1997 07 921 728 330 184
2000 08 1240 1083 365 221
2002 09 689 582 267 160
2003 11 241 207 139 98
2006 04 1370 1340 300 270
2008 10 1350 1290 300 265
The origin of the 1957, 1960, 1964 and 1966 jökulhlaups is not certain but is most likely the eastern cauldron. The discharge
and volume for the 1995 jökulhlaup are a sum from
/media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf
the Fljótsdalsheiði region . . . . . . . 47
18 Seasonal mean wind power density within the Fljótsdalsheiði region . . . . . . . . 48
19 Directional mean wind power density within the Gufuskálar region . . . . . . . . . 49
20 Seasonal mean wind power density within the Gufuskálar region . . . . . . . . . . 50
21 Directional mean wind power density within the Hellisheiði region . . . . . . . . . 51
22 Seasonal mean
/media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf
developmen
t &
im
plemen
tat
ion
Inf
orma
tion
Ma
nagemen
t
Fin
an
ce
an
d Cost
Re
cover
y
Risk
Ma
nagemen
t
Eff
ec
tiven
ess
Inte
rna
t. R
egula
tion
Weighted averag
e
Rivierenland Alentejo Tisza Ukraine Tisza Hungary
Fig. 3 Level of Adaptive and
Integrated Water Management
in coping with climate-related
extreme events in the four case-
studies (0 = non-adaptive and
non-integrated, 2
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf