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Université de Genève Stefan Schneider, stefan.schneider@unige.ch

ElectroWhat: a decision helping tool to implement electricity efficiency programs

Services industriels de Genève Pascale Le Strat, pascale.le-strat@sig-ge.ch

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

General frame of ElectroWhat project

Added value to deploy an efficiency program

Presentation of the tool

Example of impact evaluation of an efficiency measure

Conclusions

Content

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

Part 1: General frame of ElectroWhat project

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

P. Le Strat

• 2002-2008: Model for breaking down electricity consumption of a territory (Genève, EOSh) and estimation of savings potential

• Design of éco21 program and contribution to its implementation

S. Schneider

2015-2016: Start of task «GIS Energy demand» of the SCCER FEEB&D project

• GIS Swiss heat demand model

• Preparation of phase II du FEEB&D 2017-2020

General frame of ElectroWhat project

• Extend model to whole Swiss territory

• Share experience gained through an efficiency program

Synergy between academics and industry to:

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

Part 2: Added value to deploy an efficiency program

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

Eco21: from a good planning to success

0

1'000

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5'000

6'000

7'000

0

1'000

2'000

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1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

Co

nso

mm

atio

n é

lect

riq

ue

par

hab

itan

t en

kW

h/h

ab.

Co

nso

mm

atio

n é

lect

riq

ue

du

rés

eau

gen

evo

is e

n G

Wh

Evolution de la consommation électrique Canton de Genève 1990-2015

Consommation électriquedu réseau genevois

Population résidente

Consommation électriquedu réseau genevois sanséco21

Consommation électriquepar habitant

Consommation électriquepar habitant sans éco21

Objectif 2020 de la Stratégie 2050 : -3% par rapport à 2000

Objectif 2035 de la Stratégie 2050 : -13% par rapport à 2000

kWh/hab 2000-2016 : -7.1 % kWh/hab. 2000-2016Objectif 2020 -3%Atteint: -7%

Electric consumption GE

Nb. Inhabitants

Electric consumption GE, without éco21

Electric consumption per capita

Electric consumption per capita, without éco21

1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016

Objectif 2020: -3% par rap. à 2000

Objectif 2035: -13% par rap. à 2000

KW

h /

cap

.

GW

h/

year

ElectroWhat : from the model to a design of a program

Decompose demand(activity, el. appliance)

Theoretical savings

Action plan no. 3Action plan no. 2

Action plan no. 1• GWh saved• CHF/kWh• Man/days• Visibility• Faisability• Economical impact

Criteria definitiontable

• Weighting of criterions

+

𝐴𝑐𝑡𝑖𝑜𝑛𝑠 1,2,…

Planning, ressources… Expected impact

• GWh saved ex-ante• GDB impact• Employement• …

Conception du programme

ElectroWhat

Présentation de l‘outil ElectroWhat, Journée de l’énergie 25 septembre2017

Action plans of the éco21 programau 31.01.2017

8/12

1030 projets PME/I

(85% éclairage)

1 chantier/ jour à Genève

Migros : Suppression des 5

halogènes les plus vendues en

faveur de Led.

+100% ventes en 2016

93 clients grands comptes

Négawatt

427 projets réalisés

Ambition Négawatt Optiwatt

Distributeurs efficaces

130 optimisations

d’installations thermiques dans

l’immobilier

Optimisation énergétique

14’000 ménages visités

1/3 des logements sociaux

6 communes

éco-social et écologement

3’350 communs d’immeubles

assainis

2 chantiers/jour à Genève

Immowatt

40 projets/an en entreprises

8 Contrats de performance

énergétique (CPE)

Maîtrise de l’énergie

Chaleur renouvelable

100 substitutions vers des

chauffages renouvelables

10% des rénovations,

1 villa/semaine

Co

mp

an

ies

Pri

va

tes

Real esta

te

Chaleur renouvelable

5 substitutions dans des

bâtiments vers des

chauffages renouvelables

Part 3: Presentation of the tool

Présentation de l‘outil ElectroWhat, Journée de l’énergie 25 septembre2017

Results of the model

For each Swiss municipality, the estimated electricity demand is broken down into:

60 activitiesCollecte et traitement des eaux uséesDépollution et autres services de gestion des déchetsImprimerie et reproduction d'enregistrements….

32 electric appliancesEau chaude sanitaire électriqueEau chaude sanitaire PACEclairageEclairage été/mi-saisonEclairage hiverLave-linge….

Possibility to calibrate with local consumption data to improve the model.

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

ServicesRésidentielIndustriePrimaire

Yearly consumption (MWh/cap.)

Décomposition par secteur d’activité

0 – 3

3 – 5

5 – 7

7 – 10

10 – 14

14 – 20

20 – 30

30 – 60

> 60

Maps of electric consumption

ServicesRésidentielIndustriePrimaire

Yearly consumption (MWh/cap.)

0 – 3

3 – 5

5 – 7

7 – 10

10 – 14

14 – 20

20 – 30

30 – 60

> 60

Maps of electric consumption

Electric load curves per electric device

0

20

40

60

80

100

120

140

160

180

200

220

240

0 4 8 12 16 20

(MW

)

Hour of the day

City of Bern: 04/02/2008 Households: Cold appl.

Cooking

Households: Other

Washing/Drying

Ventilation/AC

Office

Motor power

Lighting

Industry: IT

Industry: Cold appl.

Industry&Service: Other

Industrial processes

Households: IT/TV

Heating + DHW

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

Prototype of a web platform

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

ber

1:00 6:00 12:000 18:00 24:00

01/01

1:00 6:00 12:000 18:00 24:00

1:00 6:00 12:000 18:00 24:00 1:00 6:00 12:000 18:00 24:00

04/04 05/04

Part 4: Example of impact evaluation of an efficiency measure

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

Example: efficient lighting in private households.

• Hypothesis: 100% LED (the average power of a light bulb drops down from 40 (W) to 8 (W)

• No rebound effect

• We compare the effect on the load curve between two municipalities having very different socio-economic typology.

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

Number of inhabitants: ~129’000Important share of activity in tertiary sector

Number of inhabitants : ~8’200Mainly residential

Typologie socio-économique des deux communes

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

Impact on the load curve for the city of Bern

Before After

Impact of efficiency measure

MAX MW (Mai) Economies GWh / an

Référence 209.0

MDE 207.8 19.3

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

Before After

Impact of efficiency measure

MAX MW (Mai) Economies GWh / an

Référence 1.87

MDE 1.78 1.1

Impact on the load curve for Bussigny

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

Conclusions

The success of éco21 is based of

• An rigorous analysis of the electricity consumption allowing a ranking of actions based on objective.

• 50% of the budget in accompaniment actions and market transformation, 50% in financial encouragement.

• Evaluation of savings and continuous improvement.

Main goal of ElectroWhat : delivering all required information to act as decision helping tool for planning electric efficiency actions

Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017

Thank you for your attention

Université de Genève Stefan Schneider, stefan.schneider@unige.ch

Services industriels de Genève Pascale Le Strat, pascale.le-strat@sig-ge.ch

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