The two faces of energy poverty...The two faces of energy poverty Marie Sevenet, Elise Nimal,...

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Mobil.TUM 2014 20.05.2014 | The two faces of energy poverty Marie Sevenet, Elise Nimal, Patrice Nogues, Ines Mayer European Institute For Energy Research A case study of households’ energy burden in the residential and mobility sectors at the city level.

Transcript of The two faces of energy poverty...The two faces of energy poverty Marie Sevenet, Elise Nimal,...

Page 1: The two faces of energy poverty...The two faces of energy poverty Marie Sevenet, Elise Nimal, Patrice Nogues, Ines Mayer European Institute For Energy Research A case study of households’

Mobil.TUM 2014 20.05.2014 |

The two faces of energy

poverty

Marie Sevenet, Elise Nimal, Patrice Nogues, Ines Mayer European Institute For Energy Research

A case study of households’ energy burden in the residential and

mobility sectors at the city level.

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Context

Basic ideas – What is energy poverty?

The double energy burden

Method

LIHC Indicator

Integration of mobility

Results

Recommandations

Discussion

Table of Content

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Context

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Low incomes

High

energy

expenses

High

energy

costs

Energy

Poverty

The two components

of energy poverty:

Households spend too much of their income on energy

Households restrict their consumption

Basic ideas – What is energy poverty?

The key elements of energy poverty

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Low incomes

High

energy

expenses

High

energy

costs

Energy

Poverty

The double energy burden

The focus of our study: a more comprehensive understanding of

energy expenses (dwelling and mobility)

In the dwelling: Due to

poor energy performance

In mobility: Due to large

travelling distances

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The double energy burden

Transport is the second most

important budget for households,

about 15%

Increase of the home-work trip

distances

INSEE, 2004

Vanco, 2013

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Method

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Measurement of energy poverty:

Different approaches

The most prevalent: objective approaches based on

socio-economic and housing data

˃ 10% indicator (fixed threshold)

˃ Low-Income-High-Costs indicator (relative

thresholds)

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Method - Approaches

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Low-Income-High-Costs indicator (Hills

2012):

Indicator based on two thresholds,

relative to the rest of the population:

Energy costs threshold (national median)

Income threshold (60% of national median +

household‘s energy expenses)

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Method - LIHC indicator

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Figure 1: Low-Income-High-Costs indicator, Source: Hills 2012

Method – LIHC indicator

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Low-Income-High-Costs indicator:

Other characteristics:

Indicator does not only allow to measure the extent of

energy poverty (how many households are concerned) but

also its depth (how severly are they concerned)

Income and expenses are equivalized for household size

and composition

Housing costs (rent, reimbursement of loans) are taken into

account

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Method – LIHC indicator

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The difficulty is to

combine data on

transport and housing

Method – Integration of mobility

Source: EIFER

Source: EIFER

Detailed calculation

Threshold of energy expenses

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Results

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Results (I)

Transport

LIHC Housing

LIHC

Housing +

transport

LIHC

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6% 9% 18%

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Results (II)

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Results (III)

Sensitivity analysis for housing

10% based on real

energy bill

11,5% 4%

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10% based on

normative energy

bill

11%

Restrictive

behaviour

Household

composition and size

LIHC

(normative energy

bill + equivalized)

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Recommandations

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Recommandation

• Interdependencies between the two aspects Urban planning

should take the two aspects into account conjointly

• Examples of policies in one of the two domains, which can be

integrated into a common framework.

Housing: • Refurbishment at the neighbourhood level

• Klimabonus: for households receiving unemployment

benefits, city administration accepts higher rents if the

households provide a proof that the dwelling responds to

certain energy efficiency requirements

Mobility: • Efficient settlement planning: dense infrastructures, mix of

uses, urban settlement planning along public transport lines,

intermodal connection points etc.

• Carsharing and carpooling

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Discussion

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Case study yields a first indication of two-fold energy poverty at the local

level

Results not representative for the current situation (data from 2008-2009)

Next steps:

˃ refine the method in order to obtain more fine-grained results

concerning transport costs.

˃ To assess energy need for transport?

Discussion

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Thank you…

Contact

Marie Sevenet

[email protected]

+49 (0)721 - 6105 1490

EIFER

Emmy-Noether-Straße 11

76131 Karlsruhe

Germany

www.eifer.org

Copyright © EIFER 2013

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