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Solar/electric heating systems in the future energy system

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Bengt Perers, Simon Furbo Department of Civil Engineering Technical University of Denmark

Brovej – building 119 2800 Kgs. Lyngby Email:

Solar/electric heating systems in the future energy system

Støttet af Det Strategiske Forskningsråd

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Project partners

•DTU Byg

•DTU Informatik (incl. PhD)

•DMI (incl. PhD)

•AllSun A/S

•ENFOR A/S

Subcontractors to DTU Byg:

• COWI A/S (Energy system studies)

• Ajva ApS (Smart Tank prototypes)

• Ohmatex ApS (Fabric Stratifier material)

•Project period 2008 - Dec 2012

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Background

• More and more of the electricity consumption will be covered by wind power

• This will result in an increased number of periods with low electricity prices

• Small individual solar electric heating systems can use electricity in periods with low prices.

• This can help integrating wind power in the energy system and contribute to an increased share of RE

Aim of the project:

"To establish the basis for the development of a future energy system based on Solar and Wind energy"

0 500 1000 1500 2000 2500 3000 3500

1980 '85 '90 '95 '00 '05 '09 MW

0%

5%

10%

15%

20%

25%

Kapacitet, havvindmøller [MW]

Kapacitet, landvindmøller [MW]

Vindkraft i pct. af indenlandsk elforsyning

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Nordpool Electricity Market Area

Great Britain

DK2 Denmark East (this presentation)

The figures give transfer capacities in MW.

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Example of electricity price variations.

Data from Nordpool.

Electricity price Euro per MWh

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Total Solar Radiation Electricity

Price

Lowest Electricity Prices in the morning before sunrise

Heating Load is largest when price is low

Heating load

Covariation between Heating Load, Solar radiation and Electricity Price

Electricity Price Euro/MWh Solar Radiation and Heating Load kJ/hour

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The project includes five main activities:

• Design of a smart heat unit based on a solar heating system, heat storage and electric heating elements / heat pump. DTU Byg, Ajva ApS & Ohmatex ApS

• Development of a detailed weather forecast model to predict solar radiation, temperatures and other important weather parameters. DMI

• On line forecasting of heat demand, solar heat production and auxiliary charging need. DTU Informatics, ENFOR A/S

• Development of control system that can communicate with DMI and Nordpool and operate the solar-electric unit in the best

possible way. AllSun A/S

• Analysis of how the developed heat unit, if used in large numbers, will fit into the overall energy system COWI

Activities

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Tank Design Principles

MARKETED SOLAR TANK SMART SOLAR TANK

Tank Heated From The Top

Individual Smart Control System Fixed Volume

Fixed temperature control

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Solar/electric heating system

Improved cost efficiency due to:

 Use of low cost electricity (ie. wind overproduction)

 Decreased heat losses

 Increased solar heat production

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Smart solar tanks - principles for electric heating

Electric heating elements

Control system based on:

• Weather forecast

• Prognoses for heat demand

• Prognoses for solar production

• Prognoses for electricity price

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Smart solar tanks - principle for electric heating

Electric heating element

Inlet stratifier Control system based on:

• Weather forecast

• Prognoses for heat demand

• Prognoses for solar production

• Prognoses for electricity price

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Fabric pipe

Fabric pipe

3 kW 3 kW

3 kW

Fabric pipe

9 kW HP

PEX pipe

9 kW

PEX pipe

Auxiliary heating principles in DTU test systems Solar collector loop & discharge loops

Cold and hot water

House Heating

Solar Collectors

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Conclusions

With smart control and a daily thermal storage, the variations in

electricity price can be used to reduce the auxiliary cost by up to 37 % under east Denmark conditions.

Further auxiliary cost reductions can be achieved by adding solar thermal collectors in the system.

Referencer

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