securing our energy needs in a carbon-constrained society ...co. 2. limitation and renewables...
TRANSCRIPT
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Securing our energy needs in a carbon-constrained society
Inaugural lecture – Erik Delarue
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• Some contexto Basic principles on the electricity sectoro European policies on CO2 and renewables
• Challenge and model development
• Modeling exampleso Renewables infeedo CO2 cap through EU ETS
Content
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• Electric powero Travels instantaneouslyo Is difficult to store
→ Supply and demand must be continuously in instantaneous balance
Time [h]
Dem
and
[MW
]
Electricity sector
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• Electricity generation system is mix of o Dispatchable units
• Fossil fired power plants: coal, lignite, natural gas, oil• Nucleair power plants• Biomass power plants• Hydro (if dam)
o Non or limitedly dispatchable units• Wind• Solar PV
o Storage (limited)• Pumped hydro storage
Electricity sector
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• Generation schedule Belgium, Weekday, Feb 2015
Electricity sector
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• EU 20-20-20 targets by 2020
-20% -20%100%
+20%
8,5%
Reduction of greenhouse gases
Energy consumption, Efficiency increase
Share of renewable energy
EU energy and climate policy
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EU energy and climate policyEU ETS
• As of January 1st 2005, EU has started EU Emission Trading Scheme (EU ETS)
• Covers about 50% of Europe’s CO2 emissions
o Electricity sector
o Energy intensive industrial sectors
o Aviation (from 2012, within ETS countries)
• One EU-wide system
o For companies, with installations
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EU energy and climate policyEU ETS
• For each ton of CO2 emission, allowance must be submitted
o Can be traded on a market
o Trading between companies
• So-called “Cap and Trade” system: Amounts emitted limited but price varies
• Cap decreases each year to reach 2020 target
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EU energy and climate policyEU ETS
MAC
[€/ton]
Reduction[ton]
Player A Player B
Reduction[ton]
MAC
[€/ton]
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EU energy and climate policyEU ETS
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EU energy and climate policyRenewables
• 20% target for the overall share of energy from renewable sources
• EU target Member State targetso Based on flat amount of 5.5%, and amount ~ GDP of
Member State• Not potential related!• Belgium: 13%
o Options in transport and heating & cooling limited• EU 20% 33% renewable electric energy • BE 13% 21% renewable electric energy
o No uniform EU-wide approach
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-20% GHG
-23% GHG
20% RES
14% RES
2020 targets
Status
2030 targets
-80% to -95% GHG
2050 objective
+20% EE
?
-40% GHG
27% RES
+27% EE
EU energy and climate policy
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Challenge, given these conditions:Ensure reliable, clean and efficient electricitygeneration system operation
Develop and use dedicated computer modelso To identify optimal solutionso To address market designo To assess and evaluate policies
• Relevant stakeholders: o Market participants, System operators, Regulators,
Policy makers
Challenge and model development
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Time ahead
seconds 15’ hours days weeks years decades
Unit commitment
Dispatch
Control
Hydro & maintenance scheduling
Expansion planningOverall system planning
Leve
l of t
echn
ical
det
ail
Leve
l of u
ncer
tain
ty
Focus areas
Scenario analysis
Challenge and model development
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• Formulation of optimization problem
o Mixed Integer Linear Programming
• Large-scale model set up
• Tight and compact formulation
• “Flexible” model
• Can be solved on cluster (HPC)
Computation time is important factor
Challenge and model development
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• Optimal scheduling - Unit Commitment
Challenge and model development
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• Some modeling examples related to
o Renewables infeed
o CO2 cap through EU ETS
Modeling examples
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Intermittent RES
• Variable
• Limitedly predictable
• Zero/low marginal cost
• Location constrained
• Modular
• Non-synchronous
Flexibility means
• Flexible generation
• Active demand response
• Grids
• Storage
• Curtailment
Modeling examplesRenewables infeed
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• Example wind power
Modeling examplesRenewables infeed
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• Example solar PV
Modeling examplesRenewables infeed
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Modeling examplesRenewables infeed
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Modeling examplesRenewables infeed: Flexible generation
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Modeling examplesCO2 cap through EU ETS
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Primary policy effect Policy interaction (subject of the presentation)
Power sector
Other ETS sectors
EU ETS
Renewables support schemes
CO2 cap and price
CO2-free generation
Change in CO2 price
Displacement of CO2 emissions
Modeling examplesCO2 cap through EU ETS
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• Construction of emission planeo Central-West European region
Modeling examplesCO2 cap through EU ETS
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• CO2 limitation and renewables deployment pose challenges
o Technical, markets, policies
o Models help to address these
• Future focus
o State-of-the-art models, accounting for uncertainty
o Improve thermo-mechanical link and include new technologies
o Storage and other energy carriers
o Policies and markets
Highly interdisciplinary research
Concluding remarks and future focus
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KU Leuven Energy Institute
Building PhysicsFaculty of Engineering
Environmental and Energy Law
Faculty of Law
Energy, Transport and Environmental economicsFaculty of Business and Economics
Electrical EngineeringFaculty of Engineering
Mechanical EngineeringFaculty of Engineering
Involved in the KU Leuven Energy Institute
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Research institute on sustainable energy and intelligent energy systems, uniting
KU Leuven, VITO and imec.
Focus on five themes
• Strategy & Markets
• Energy Networks
• Buildings & Neighborhoods
• Energy Storage
• Materials & Components
Involved in EnergyVille
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Located at the former mine site of Waterschei in Genk
New building, space for about 200 researchers
Involved in EnergyVille
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