Energy planning for territories Resources, Energy mix, Energy efficiency

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Energy planning for territoriesResources,
Energy mix, Energy efficiency
Gilles POYAC - AER Committee C Plenary Meeting,
20th April 2006, Valencia
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Contents 1. Brief presentation of EIfER 2.
Energy planning territories 3. Strategies for
local energy mix energy efficiency 4.
Assessment of regional renewable resources 5.
Conclusion
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Contents 1. Brief presentation of EIfER 2.
Energy planning territories 3. Strategies for
local energy mix energy efficiency 4.
Assessment of regional renewable resources 5.
Conclusion
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EIfER European Institute for Energy Research

• Created in 2002 in Karlsruhe, Germany
• EGEI / two mother companies
• Electricité de France
• Universität Karlsruhe
• Mission
• to develop clean energy technologies and tools
  for the sustainable development of cities and
  territories

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Current staff

• 50 researchers
• About 10 PhD and trainees
• Mainly French and German (up to 9 nationalities)
• Multi-disciplinary competences
• distributed energy engineering (fuel cells,
  microturbines, etc.)
• renewable energy technologies
• urbanism architecture
• energy planning
• economics
• sociology

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Structure 3 disciplinary groups
Distributed Resources
Innovative Processes
Models for Environment

• Produce technological innovations for the
  development of environmentally friendly energy
  production means
• Fuel cells
• Stirling engines
• Microturbines
• CHP technology
• TRIZ Method

• Identify the role Distributed Energy could play
  in supplying energy
• Development and implementation of Distributed
  Energy systems
• Techno-economical analyses
• Laboratory tests
• Demonstration sites

• Assist cities and territories in implementing
  sustainable concepts
• Energy efficiency studies
• Deployment of renewable energies
• Analysis and simulation of energy flows
• Geographical analyses (GIS)

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Contents 1. Brief presentation of EIfER 2.
Energy planning territories 3. Strategies for
local energy mix energy efficiency 4.
Assessment of regional renewable resources 5.
Conclusion
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Energy planning for territories scales

• 3 levels

District
Building
Region
Production means
City
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Decision chain simplified scheme

• Regional level
• influence on local level ( some control over
  project level)
• Local level
• influence on / control over project level
• Project level
• effective deployment of renewable energy
  technologies
• effective implementation of energy efficiency
  measures

Feasibility study
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Contents 1. Brief presentation of EIfER 2.
Energy planning territories 3. Strategies for
local energy mix energy efficiency 4.
Assessment of regional renewable resources 5.
Conclusion
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Case studies
Cities (adaptable at the regional level)

• Narbonne
• Languedoc-Roussillon (F)
• Erstein
• Alsace (F)

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Energy CO2 balance
Energy system modeling energy flows, emissions
and costs (all sectors, all energy vectors)
Recommendations, action plan (energy efficiency,
CO2 mitigation)
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Case study energy efficiency
Narbonne Transports 52 of total
emissions Mainly motorways and main/secondary
roads Energy efficiency plan directly linked
with the regional level (traffic emissions
models) Same with industry
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Local energy mix
Erstein Energy mix for public
buildings Option wood-fired boiler
room Feasibility depending on resource
parameters cities can not easily identify gt
importance of regional resources studies
Contribution of the wood-fired boiler (C02
emissions)
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Contents 1. Brief presentation of EIfER 2.
Energy planning territories 3. Strategies for
local energy mix energy efficiency 4.
Assessment of regional renewable resources 5.
Conclusion
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Case studies
Upper Rhine region

• Biomass (wood)
• Northern Black Forest (D)
• Biogas
• Baden-Württemberg (D)
• Geothermal power production
• Alsace (F)

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Biomass GIS-based energy wood resource
assessment in the northern Black Forest region
(I)

• Study area and partners

• The Forest State Administration
  (Landesforstverwaltung B.W.)
• The regional planning authority (Regionalverband
  NSW)
• University of Karlsruhe (EIfER, IPF)
• EDF

• Black Forest
• 57 forest (mainly public)

Source http//www.nordschwarzwald-region.de/
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Biomass GIS-based energy wood resource
assessment in the northern Black Forest region
(II)
Wood chip production chain and related cost
factors

• Diameter of the tree (BHD)
• Production costs rise exponentially with smaller
  tree diameters
• Slope
• Applicability of highly automated machines is
  limited to max. 30 slope
• Tree species
• Wood energetic value depends on the tree species

Transport distances
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Biomass GIS-based energy wood resource
assessment in the northern Black Forest region
(III)
Methodology

• Model the theoretical potential
• Model costs for wood chip production for each
  forest stand
• Model transport costs

• Layers
• road network's nodes
• forest plots
• - digital terrain model

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Biomass GIS-based energy wood resource
assessment in the northern Black Forest region
(IV)
Some results
Wood chip processing costs for each forest
stand Show all forest stands that offer more
than x tons dry mass/ha and where mobilization
costs is less than y /m³
Supply curves for scenarios with respect to
several parameters Wood energy potential can be
modeled as steady function of wood chip market
price ? supply curves
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Biogas Optimized sitting of co-fermentation
plants in Baden Württemberg

• EDF RD / SPE
• Uni KA DFIU, IPF
• BIG Biomass Interest Group

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Geothermics potential assessment of deep
aquifers for power production in Alsace (I)

• Study area and partners

Potential for geothermal power production depends
on - depth of the aquifer - temperature of
the aquifer - thickness of the aquifer

• EIfER
• BRGM Alsace
• ADEME
• ÉS

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Geothermics potential assessment of deep
aquifers for power production in Alsace (II)

• Power production potential for 3 main aquifers

3437 TWh which is more than 250 times the annual
electricity consumption in the region.
Grande Oolithe
Muschelkalk
Buntsandstein

• In practice, the accessible resource that can be
  extracted is only a part of the total resource.
• The ratio depends on the availability of fluids
  in the aquifers (expressed by the transmissivity
  of the aquifer) and the time during which the
  extraction can be economically carried out.

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Geothermics potential assessment of deep
aquifers for power production in Alsace (III)
Optimal locations criteria
Depth
Potential
Land cover
Faults
Industrial / urban areas
Resources
Water streams
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Geothermics potential assessment of deep
aquifers for power production in Alsace (IV)
Optimal locations results
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Contents 1. Brief presentation of EIfER 2.
Energy planning territories 3. Strategies for
local energy mix energy efficiency 4.
Assessment of regional renewable resources 5.
Conclusion
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Conclusion (I)
multi-criteria geographical analysis link
between regional and local levels

• A regional opportunity study (e.g. renewable
  energy resources) can provide realistic
  potentials and localization recommendations
  directly usable for local feasibility studies.
• Every local detailed study can enrich the
  regional database.

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Conclusion (II)

• Energy planning at the regional level
• assessment of the potentials (RES, energy
  efficiency, ) using multi-criteria geographical
  analyses
• modeling of energy flows and impacts of
  scenarios (derived from potentials)
• Benefits
• facilitation of the implementation at the local
  level (feasibility information, best practices)
• improved orientation (modeling, prospective)
• possible definition of precise regional targets
  (monitoring)

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• Thank you.