University of Lleida

Kind:

Electrochemical energy storage
Thermal energy storage

Country:

Spain

Technology

Electrochemical energy storage
Thermal energy storage

Organisation:

University of Lleida

Contact person 1:

Prof. Luisa F. Cabeza, luisaf.cabeza@udl.cat


Contact person 2:

Mrs. Gemma Gasa, greia@diei.udl.cat


Availability:

The UDL infrastructure will not be available August and from December 15th to January 15th of each year

TRL Level:

Download the full document

University of Lleida

The infrastructure is divided in four areas, three of them related to testing at different scales and one related to computing facilities:


1. Laboratory equipment

A. Characterization:

  • DSC 3+ Mettler Toledo, from -50 ºC to 500ºC

  • Compact climatic chamber INECC-30/300 Intelec from -50 ºC to 500 ºC;

  • Thermal cycler Ristretto CYCL06, from 4 ºC to 105 ºC;

  • Unique home-made test box to thermally cycle heterogeneous samples (15x15x3 cm) from 5ºC to 45 ºC.

B. Corrosion experiment:

  • electrochemical impedance spectroscopy (EIS) for high temperature corrosion testing;

  • unique vacuum corrosion testing for thermochemical salts.


2. Test rigs

A. Test-rig for PCM testing from -20 ºC to 100 ºC, with advanced control of temperatures and mass flow rates

B. Test-rig for water testing, from 5 ºC to 90 ºC.

C. Test-rig for thermochemical TES testing, from 20 ºC to 120 ºC


3. Pilot plants

A. Pilot plant for high temperature TES. Potential to test solid sensible TES materials/systems, molten salts testing (materials, components, system operation), and PCM (up to 200 kg of materials). From 20 ºC to 380 ºC.

B. Pilot plant for testing of TES in buildings: materials, HVAC systems with TES, geothermal storage, PCM storage, TCM storage.

C. Pilot plant for testing of TES technologies and systems in buildings: Connected to two different real buildings (residential and non residential), with PV, Fresnel collectors, ORC, PCM, and sorption system.

4. Computation cluster:

Computation cluster to test and validate computational models, with 384 CPU (x64), 740 GB RAM, and Sun GridEngine/PBS/MPI capable.