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
the maximum discharge of jökulhlaup water at the glacier
terminus is estimated as 97 m3 s 1. This jökulhlaup was a fast-rising jökulhlaup as
other jökulhlaups in Skaftá and cannot be described by the traditional Nye-theory of
jökulhlaups. The total volume of flood water was estimated as 53 Gl. The average
propagation speed of the subglacial jökulhlaup flood front was found to be in the range
0.2–0.4 m s 1
/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
on the European level [e.g.
Water Framework Directive (Directive 2000/60/EC),
Common Agricultural Policy, etcetera], except for the
Ukrainian part of the Tisza. However, the Ukraine shows
strong incentives to enter the EU community and thus the
EU acquis communautaire is used as key reference for the
development of its water management principles. It was
nevertheless decided to select two case-studies
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf