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Results Model COST BENEFIT ANALYSIS OF ENERGY BOXES DEPLOYMENT IN HOUSEHOLDS IN EUROPE: IMPACT OF THE SPOT PRICES Should domestic end-user retrofit their electric heating thermostat by a market-connected energy box? Smart-Thermostats are one of the #IOTs best-sellers in 2015. Meantime, the deregulation of power markets and the European directive on Hourly Metering are pushing Utilities to launch Real Time Price tariff (RTP) initiatives. The research question is so simple: is there a business interest for European domestic end-users to go even further and invest in a weather forecast & market- connected energy box to benefit of a RTP tariff to reduce their electric heating bill. INTERNET OF THINGS (#IOT), DEMAND RESPONSE (DR), SMART GRID, POWER MARKET ANALYSIS, REAL TIME PRICE TARIFF (RTP) KEY WORDS CIRED 2015 poster session – paper n°0970 – session n°6 Gaspard LEBEL Raphaël CAIRE Nouredine HADJSAID Univ. Grenoble Alpes, G2Elab – France Stéphane BEDIOU Alain GLATIGNY Schneider Electric – France [email protected] gaspard-lebel @gaspardlebel Define an either RTP or Fix power source tariff 3 4 Simulate the use of both heat load program in the household, with either RTP or Fix tariff Test the model in 10 different day-ahead spot markets of Nordics and Baltics, over 14 years (2001-2014). 5 1 Define a theoretical electric heated standard household, located in the Nordics (Malmö). Energy saving Optimization Bill saving Optimization A B Optimization Program Energy saving Optimization Bill saving Optimization Day-ahead Hourly Spot Price Annual Mean Spot Price A B 1 2 tariff Prog. =10 bidding areas x up to14 years Day ahead hourly price data from Lulea Malmo Trondheim Kristiansand DK West DK East Finland Estonia Latvia Lithuania Benchmark the results Household charac. τ = 150hr, λ = 160W/°C Pmax = 6kW 2 Define an either energy efficiency driven or cost driven heat load optimization program Taxes Grid Cost Power Sourcing Assumed as constant, regardless tariff and annual energy consumption variation Source of saving Taxes Grid Cost Power Sourcing Annual Mean Spot Price 1 2 Day-ahead Hourly Spot Price Hourly Weather data of Malmö pay-back of 6 years assumed [25;50] €/year Product Qivivo Voltalis Nest Pluzzy Wiser Price without/with installation 99/179€ 219/339€ 219€/- 322€/- 299€*/- Adaptation to use case + + + + + Thermostat missing Current Sensor missing Current Sensor missing + + *2 switches of 3kW each only 6 Annual Energy bill difference (in €/year) 750 760 770 780 790 800 810 40 60 80 End User Furniture price (in €/MWh) Fix tariff Sce 1 RTP tariff Sce 2 750 760 770 780 790 800 810 0 2 4 6 Hourly Heat Load (in kW) Heat Load Sce 1 Heat Load Sce 2 750 760 770 780 790 800 810 21 22 Hourly Inside temperature variation Tin Sce 1 Tin Sce 2 Tref

Cired 2015 poster 0970: COST BENEFIT ANALYSIS OF ENERGY BOXES DEPLOYMENT IN HOUSEHOLDS IN EUROPE: IMPACT OF THE SPOT PRICES

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Page 1: Cired 2015 poster 0970: COST BENEFIT ANALYSIS OF ENERGY BOXES DEPLOYMENT IN HOUSEHOLDS IN EUROPE: IMPACT OF THE SPOT PRICES

Results Model

COST BENEFIT ANALYSIS OF ENERGY BOXES DEPLOYMENT IN HOUSEHOLDS IN EUROPE: IMPACT OF THE SPOT PRICES

Should domestic end-user retrofit their electric heating thermostat by a market-connected energy box?

Smart-Thermostats are one of the #IOTs best-sellers in 2015. Meantime, the deregulation ofpower markets and the European directive on Hourly Metering are pushing Utilities to launch RealTime Price tariff (RTP) initiatives. The research question is so simple: is there a business interestfor European domestic end-users to go even further and invest in a weather forecast & market-connected energy box to benefit of a RTP tariff to reduce their electric heating bill.

INTERNET OF THINGS (#IOT), DEMAND RESPONSE (DR), SMART GRID, POWER MARKET ANALYSIS, REAL TIME PRICE TARIFF (RTP)

KEY WORDS

CIRED 2015 poster session – paper n°0970 – session n°6

Gaspard LEBELRaphaël CAIRE

Nouredine HADJSAIDUniv. Grenoble Alpes, G2Elab – France

Stéphane BEDIOUAlain GLATIGNY

Schneider Electric – France

[email protected] gaspard-lebel @gaspardlebel

Define an either RTP or Fix power source tariff3

4 Simulate the use of both heat load program in the household, with either RTP or Fix tariff

Test the model in 10 different day-ahead spot markets of Nordics and Baltics, over 14 years (2001-2014).

5

1 Define a theoretical electric heated standard household, located in the Nordics (Malmö).

Energy savingOptimization

Bill savingOptimization

A

B

Optimization Program

Energy savingOptimization

Bill savingOptimization

Day-ahead HourlySpot Price

Annual MeanSpot Price

A

B

1 2tariffProg.

=10 bidding areas x up to14 years

Day ahead hourly price data from

Lulea

Malmo

Trondheim

Kristiansand

DK West DK East

Finland

Estonia

Latvia

Lithuania

Benchmark the results

Household charac.

τ = 150hr,

λ = 160W/°C

Pmax = 6kW

2 Define an either energy efficiency driven or cost driven heat load optimization program

Taxes

Grid Cost

Power Sourcing

Assumed as constant, regardless tariff and

annual energyconsumption variation

Source of saving

Taxes

Grid Cost

Power Sourcing

Annual MeanSpot Price1 2Day-ahead Hourly

Spot Price

Hourly Weather data of Malmö

pay-back of 6 years assumed[25;50] €/year

Product Qivivo Voltalis Nest Pluzzy Wiser

Pricewithout/withinstallation

99/179€ 219/339€ 219€/- 322€/- 299€*/-

Adaptation to use case + ++ + +

Thermostat missing

Current Sensormissing

Current Sensormissing

+ +

*2 switches of 3kW each only

6

An

nu

al E

ner

gy

bil

l d

iffe

ren

ce (

in €

/yea

r)

750 760 770 780 790 800 810406080

End User Furniture price (in €/MWh) Fix tariff Sce 1RTP tariff Sce 2

750 760 770 780 790 800 8100246

Hourly Heat Load (in kW) Heat Load Sce 1

Heat Load Sce 2

750 760 770 780 790 800 810

21

22

Hourly Inside temperature variation Tin Sce 1Tin Sce 2

Tref