TRNSYS simulation for solar process heat

a comparison with the REEMAIN tool REEMAIN webinar on the tool for the modelling of

solar concentrators 13th October 2015

Dr. Uli Jakob Johannes Steinbeißer

JER

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• TRNSYS standard library:

– solar systems (ST and PV)

– low energy buildings

– HVAC systems

– weather data

– data handling

– time dependent functions

– …

• TESS library:

– solar systems

– HVAC systems

– high temperature solar systems

– cogeneration

– geothermal

– …

Source: wisc.edu

Source: tess-inc.com

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TRNSYS Deck – Simulation Model [Source: JER]

Type connection, Output Input [Source: JER]

→ aim: validation of the REEMAIN Tool with an example of a solar concentrator system

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TOOL

Source: iesve.com; reemain.eu Source: wisc.edu

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Gullón

Burgos

Source: Google Maps

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Meteonorm weather data TMY2: Burgos, Spain

Source: JER • Atlantic marine climate • high temperature difference between night and day • temperatures rarely below freezing point

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• high direct radiation (63%) • great potential for solar concentrators

Meteonorm weather data TMY2: Burgos, Spain

Source: JER

Ø

Ø

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• specific design radiation level • radiation bin range of 700 – 800 W/m2

• average daily solar yield: 4.31 kWh/m2

Meteonorm weather data TMY2: Burgos, Spain

Source: JER

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Gullón factory aerial view (Source: teicon.es) • leading Spanish cookies manufacturer

• largest biscuit factory in Spain

• focus on heat recovery and renewable energy

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Source: IES

Source: IES

original heating set-up

integration of solar thermal heat

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Generic System Design

Source: JER

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Source: JER

IES-Data

(REEMAIN Tool)

TMY2

(TRNSYS)

Difference

DNI energy sum 1393.92 kWh/m²a 1745.25 kWh/m²a 351.33 kWh/m²a

DNI peak 948.00 W/m² 1017.00 W/m² 69.00 W/m²

Hours of DNI 3291 h 3590 h 299 h

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Simulation Parameters IES JER

REEMAIN TOOL TRNSYS17

azimuth of collector 90° (E-W) 90° (E-W) reflector (one collector)

length 3.0 m Σ = 126 m²

width 1.0 m focal length 0.3m no value

collector units per row (series) 3 3 number o rows (parallel) 14 14 concentration ratio no value 25 tube extension (one unit) 0.2 m 0.2 m intercept factor 0.990 m no value absorber tube radius 0.018 m no value absorber tube absorptance 0.950 m no value mirror reflectance 0.95 no value cover tube transmittance 0.82 no value total fluid flow 50 l/(h*m²) 50 l/(h*m²) pump power 0.2 kW 720 kJ/h fluid specific heat capacity 4100 J/(kg*K) 4.1 kJ/(kg*K) heat exchanger effectiveness 0.4 0.4 tank volume 5,000 l 5 m³ design tank heat loss 0.007 kWh/(l*day) surf. loss coeff.: 10.8 kJ/(m²*K) system pipes no value 60 m order loss coeff. per unit aperture area

η0 no value 0.7 c1 0.4 W/(m²*K) 1.44 kJ/(m²*K) c2 0.002 W/(m²*K) 0.0072 kJ/(m²*K)

water loop design temperature supply 60 °C dynamic return 30 °C 30 °C

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TRNSYS Simulation Model

Source: JER

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Source: JER

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Source: JER

peak loads between 80 kW – 120 kW

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Source: JER

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Source: JER

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Source: JER

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• only small difference between REEMAIN Tool and TRNSYS • peak loads are a little higher in TRNSYS

• annual sum of solar system energy yield 2 MWh higher in the REEMAIN Tool

• main reason for the variances: the two different weather files

Aim:

• analysis of the input potential of solar power into the industry process

• evaluation of the REEMAIN Tool via an adjusted, dynamic TRNSYS system simulation

Results:

• results differ only slightly

• different weather file data influenced the simulation results

• successful validation of the model approach of the REEMAIN tool

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Source: JER (Samuel Baumeister)

Source: Bossa

• Area of about 200,000 m2

• 2,600 employees

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Source: JER (Samuel Baumeister)

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Source: Bossa (Data), JER (Chart)

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Source: JER (Samuel Baumeister) Examples of integration of parabolic trough solar collectors (see also 1st REEMAIN Webinar on the WP3 technology roadmap)

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Source: wisc.edu

Source: JER Source: Solera

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Source: JER • Solar input covers a large amount of energy demand in summer • Total solar coverage ca. 28%

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Source: JER • Solar coverage (parabolic trough collectors) at ca. 28%

Aim:

• analysis of the input potential of solar power into an industry process

• detailed dynamic simulation

Results:

• solar concentrating power can be a very interesting renewable energy technology for process heat in industries

• further case studies for solar process heat and solar cooling will be investigated in the future

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Thank you for your attention