Presentation is loading. Please wait.

Presentation is loading. Please wait.

Heat energy from the sun Thermal characterisation of a latent heat thermal energy storage system by means of a dynamic artificial neural network Presentation.

Similar presentations


Presentation on theme: "Heat energy from the sun Thermal characterisation of a latent heat thermal energy storage system by means of a dynamic artificial neural network Presentation."— Presentation transcript:

1 Heat energy from the sun Thermal characterisation of a latent heat thermal energy storage system by means of a dynamic artificial neural network Presentation for ETP PECRE Award Dr Faisal Ghani CEng MIET Research Associate IMPEE, Engineering & Physical Sciences Heriot-Watt University 6th ETP Annual Conference, University of Edinburgh, October 10th, 2017

2 Solar energy utilisation
Solar radiation commonly converted to: Electricity (photovoltaic) Heat (solar thermal) Thermal energy is 58% of UK domestic energy needs 45% Space heating 18% Hot water Energy storage a critical component within solar energy systems Supply/demand mismatch High thermal output needed 6th Annual ETP Conference, University of Edinburgh

3 Solar thermal systems overview
Solar thermal collectors Fluid transfer system Thermal Energy Storage 6th Annual ETP Conference, University of Edinburgh

4 Thermal energy storage (TES)
A number of storage technology types currently used to store solar energy Sensible (e.g. water) Latent (phase change materials) Latent heat storage offers a number of technical advantages High energy density Overall volume reduction Reduced heat loss (VIP) High thermal output (~30kW) Thermal modulation 6th Annual ETP Conference, University of Edinburgh

5 Solid/liquid phase change process
LIQUID STATE (CHARGED) SOLID STATE (DISCHARGED) Solidification process 6th Annual ETP Conference, University of Edinburgh

6 Collector performance enhancement
Melting process occurs at near constant temperature Phenomenon can be leveraged for thermal modulation applications Solar thermal collector performance degrades with temperature Latent heat TES can minimise heat loss by modulating collector temperature Reduced collector yield due to elevated temperature Latent heat TES advantage 6th Annual ETP Conference, University of Edinburgh

7 Collector performance enhancement
Efficiency ‘plateau’ while PCM melting Collectors continue to charge latent heat TES Thermal efficiency of an evacuated tube collector while charging a latent heat TES

8 TRNSYS simulation of a solar thermal system
Project challenges System level simulation needed for: Annual performance approximation. How much electricity do we need to purchase? Solar thermal performance gain? System design/economic analysis. How many collectors? What size store? Phase change process highly transient moving boundary problem requiring numerical solver ? TRNSYS simulation of a solar thermal system

9 Development of a computationally efficient model of latent heat TES
Numerical techniques too demanding for long term simulation studies PECRE award received from ETP to work with HSLU to develop dynamic neural network model Step 1: Acquire training data (experimental) Step 2: Train and modify architecture Step 3: Test/evaluate network Tin Neural Network Model Tout Mass flow Generic neural network architecture 6th Annual ETP Conference, University of Edinburgh

10 Neural network training data collection
Extensive experimental data collected using experimental rigs Training data collected using apparatus located in Lucerne and Edinburgh

11 Indoor experimental apparatus
Loop 2 Loop 1 6th Annual ETP Conference, University of Edinburgh LabVIEW software Data acquisition system

12 Neural network testing results
Neural Network Model Once trained testing was conducted using exp data Excellent agreement found during charging phase Some disparity emerges during discharge phase Fast calculation time once network has been trained Further data being collected Tout Mass flow 6th Annual ETP Conference, University of Edinburgh

13 PECRE award outcomes A strong collaboration developed between Heriot-Watt, Sunamp, and Lucerne University of Applied Sciences Journal paper submitted and under review Model to be used for H2020 Project MSc student from HSLU spending 5 months at Heriot-Watt A unique tool developed to model phase change phenomenon in the Sunamp heat battery Recipient of the Kerr Macgregor for Solar Innovation awarded by SSEG for research carried out in this project

14 6th Annual ETP Conference, University of Edinburgh
How funding was spent 6th Annual ETP Conference, University of Edinburgh

15 6th Annual ETP Conference, University of Edinburgh
Thank you Dr Faisal Ghani CEng MIET Research Associate IMPEE, Engineering & Physical Sciences Heriot-Watt University 6th Annual ETP Conference, University of Edinburgh


Download ppt "Heat energy from the sun Thermal characterisation of a latent heat thermal energy storage system by means of a dynamic artificial neural network Presentation."

Similar presentations


Ads by Google