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EA Analyse A/S and Optensys
Energianalys will forecast energy system variables, while SINTEF Energy Research will make
assumptions for the energy system in different cases, include new inputs in the EMPS model and
carry out simulations.
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/media/ces/esa_flyer_new.pdf
mover’s payoff, while mover 2’s
payoff is greater than or equal to the first mover’s payoff.
The payoff function is that of the basic public good game. The marginal return from the
public good is a ∈ [0,1], and each agent’s initial endowment is E. The payoff function Rik
of agent i as mover k, k = 1 for the first mover and k = 2 for the second mover, is defined
as follows:
Rik =E − xik + a (xik
/media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.pdf
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work. The second half of the article discusses the potential for participatory modelling to progress from being a
mainly research-driven activity in the water sector to one being adopted for widespread use by water managers.
By widespread adoption I mean that participatory modelling becomes mainstream in the sector and that managers
set up their own organizing teams, independent of researchers
/media/loftslag/Hare-2011-ParticipatoryModelling.pdf
the observed data sets are smaller in SW than in NE
• MMM overestimates precipitation, but is closer to observations in SW than
NE barb2right Better observational coverage in SW
SW
NE
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CES Conference, Oslo 31.5.-2.6.2010
SWNE
• Precipitation trends (mm / 10 yr) in 1961-2000 according to observations
and model simulations (MMM)
• Including the range
/media/ces/TietavainenHanna_CES_2010.pdf
FOREST BIOMASS FOR ENERGY PRODUCTION –
POTENTIALS, MANAGEMENT AND RISKS UNDER CLIMATE CHANGE
Ashraful Alam, Antti Kilpeläinen, Seppo Kellomäki
School of Forest Sciences,
University of Eastern Finland, Joensuu
F t Cli t d R bl E I t Ri k d Ad t tiu ure Cl ma e an enewa e nergy – mpac s, s s an ap a on
Oslo, Norway
2 June, 2010
Contents
• Forestry in Finland
• Challenges
• Objectives
/media/ces/Alam_Ashraful_CES_2010.pdf
E-mail: nve@nve.no
Internet: www.nve.no
May 2010
2
Contents
Snorrason, Á. and Hisdal, H.
Welcome to the conference “Future Climate and Renewable Energy: Impacts, Risks and Adaptation” ................ 6
PRESENTATIONS
Gode, J. and Thörn, P.
Stakeholder relevance of the CES project
/media/ces/ces-oslo2010_proceedings.pdf
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shows
range over
whole UK
spatial
area
June 2010 13
Is the impact similar over the
whole UK?
• Changes in the summer minimum rating, i.e.
worst-case conditions – max temperature:
Rating at baseline period 1961
/media/ces/Cradden_Lucy_CES_2010.pdf
Permanent snow
cover
Snow depth
Aug Jun
Maximum snow depth
Accumulative winter precipitation
Number of snow days
(snow depth > 0)
Snow season duration
Introduction Data & Methods Results
Norwegian Meteorological Institute met.no
Simulated
temperature &
precipitation
Observed
snow depth
Time series
• Period I: 1931-60
– 55 stations
• Period II: 1961-90
– 298 stations
• Period III: 1979
/media/ces/Dyrrdal_Anita_CES_2010.pdf