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 

how to decrease co2 emissions 

  • reduce carbon intensity
  • reduce energy intensity 
  • to compensate
  • increasing population
  • increasing gdp per capita 

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