Integrated Assessment
lectures and notes
lectures and notes
Set of flashcards Details
Flashcards | 110 |
---|---|
Language | English |
Category | Nature Studies |
Level | University |
Created / Updated | 12.01.2022 / 20.01.2022 |
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integrated assessment
A method of anylsis combining results and models from
- physical
- biological
- economic
- social
sciences and interaction btw these component, in a consisten framework to evaluate the status and conseqeucnes of environmental change and the policy to respond to it
chain of causes and effects
-
- demography
- technical progress
- economy model
- energy system model and agriculture model
- atmospheric chemistry
- climate model
- Goal
- climate impact model 1
- climate impact model 2
- climate impact model 3
- endogenous socio-economic evaluation
cost effectiveness analysis, economic point of view
fixing the maximum amount of tolerable climate damage and find the least costly approach to stay under that limit
cost-effectiveness analysis, ecological point of view
minimize climate change until a certain mitigation burden
guard rail approach
room btw intolerable climate damage and intolerable mitigation cost
core policy mix
- policies to unlock cost effective energy efficiency potential
- carbon price to mediate action economy wide
- technology support policies to reduce costs for long-term decarbonisation
disciplinary studies
ghg concentration as input, t° change as output
questions: impacts of t° chage? control ghg concentrations?
simple combination of disciplinary studies
results of each scientific field used as input for next one
problem: uncoordinated assumptions
interdisciplinary project approach
group of scientists work together and exchange knowledge
pro: common assumptions
con: no feedbacks considered
integrated assessment simulation model
information flow based on annual schedule
pro: considers feedbacks
con: not invertible
integrated assessment optimization model
one common equation for all submodel. timeline 10-100y
advantages of IA optimization model
- coherent framework considering feedbacks
- identifies knowledge gaps
- consistent modeling of interaction btw systems
- enforces collaboration and ongoing research
what are scenarios good for?
- provide dataset
- establish benchmark
3 main features of scenarios
- alternative images of how future might unfold
- result of complex interactions in socio-ecc system
- diff scenarios are conceivable and equally sound
IPCC is short for
intergovernmental panel on climate change
scenario A1
- economic, global
- ecc growth
- technologies
- convergence
- atlernative change in energy systems:
- A1FI: fossil sources
- A1T: non fossil
- A1B: mix
scenario A2
- economic, local
- self-reliance
- low convergence
- slow and frangmented growth anc technology
scenario B1
- environmental, global
- convergence
- change twds service and information economy
- global solutions without climate initiatives
- cleaner technologies
- reduced material intensity
B2
- environmental, local
- intermediate ecc development
- slow and diverse technological change
- oriented twds environmental protection and social equity
driving forces of IPCC scenarios
- poluation, economy, technology
- all are business as usual models
- today, scneario named after radiative forcing
carbon intensity
amount of co2 emitted from energy supply driving global economy
total primary energy
GDP x primary energy intensity
scenario generator
projection model of future economic and energy development based on historical data and observed trends
MESSAGE
- bottom up energy systems engineering model
- calculates minimal cost of supply structures under constraint of
- energy demand
- available resources
- technology
MACRO
- top down macro economic model
- optimal growth model to determine relationship btw
- ecc development
- energy use
kaya identity
CO2 emissions = carbon intensity x energy intensity x GDP per capita x population
reduce carbon intensity: possibilities
- fuel switching
- co2 capture and sequestration
- renewable energies
- nuclear energy
- enhance co2 sinks
reduce energy intensity: possibilities
- efficiency improvement
- structural change
- behavioral change
fuel switching: emission factors per unit of heat
- lignit: 110
- coal: 100
- oil: 75
- natural gas 50
- renewables, nuclear, CCS: 0
reduce energy demand of end-use energy
- improve insulation
- improve industrial processes
- reduce aerodynamic and rolling resistance for vehicles
increase conversion efficiencies
- improve prower plant efficiencies
- combined cycle gas turbine power plant CCGT
- integrated gasification combined cycle IGCC
- fuel cells
- improve heat supply efficiencies
- condensing value boilers
- heat pumps
- cogeneration heat and power
renewable energy power supply
- hydro power plants
- wind energy converters
- photovoltaic cells
- solar thermal powerplants
- biomass fired powerplants
- geothermal powerplants
renewable energy heat suppyl
- solar collectors
- biomass boilers
- geothermal heating station
renewable fuel supply
- use synthetic liquids from biomass to replace fuel
- use biomass to produce electricity or hydrogen for batteries
potential of renewables
possible from technical perspective to satisfy global demand w renewables (solarm wind, geothermal)
2 challenges of renewables
- not available everywhere and always, need transport of resource
- temporary variability and fluctuations need to be compensated
carbon capture and sequestration CCS
catch CO2 from power plant before released to atmosphere, pum it to a storage place
post-combustion co2 capture
- cleaning exhaust gas from fossil fuel combustion by facility attached to power plant
- through a liquid w affinity w co2, dissolves it, pure co2 when evaporated after transport
- efficiency loss 9-14 percentage points
- additional fuel demand 30-50%
disadvantages of post combustion ccs
- low proportion of co2 in exhaust gas, difficult to extract
- energy loss and fuel demand