Heat and Mass Transfer Technological Center (CTTC) · Heat and Mass Transfer Technological Center...

Heat and Mass Transfer Technological Center (CTTC) Universitat Politècnica de Catalunya BARCELONA TECH (UPC)

Centre Tecnològic de Transferència de Calor (CTTC)

Escola Tècnica Superior d’Enginyeries Industrials i Aeronàutiques ETSEIAT C/ Colon 11 Edifici TR4

08222 Terrassa (Barcelona) Spain Tel. 34 93 739 81 92 FAX 34 93 739 89 20

[email protected] www.cttc.upc.edu

mailto:[email protected]

http://www.cttc.upc.edu


• CTTC director: Prof. Assensi Oliva • CTTC research co-director: Prof. Carlos D. Pérez-Segarra • CTTC promoter: Prof. Joaquim Rigola • CTTC personel: 50 persons full time (30 Ph. D. students) • More than 100 international journal papers in last 10 years • More than 60 research projects with companies, and within national and EU frameworks in last 10 years

A renowned worldwide research group in Solar Energy,Thermal Systems and Computational Fluid Dynamics and Heat Transfer

• Refrigeration (vapour compression cycles, absorption refrigerating systems, compressors, expansion devices, etc.).

• HVAC (ventilation, diffusion of contaminants in buildings,...). • Active and passive solar systems (solar collectors using

transparent insulation materials, building facades with transparent layers and ventilation, etc.).

• Concentrated Solar Plants (CSP) (solar tower, storage tanks, etc.) • Wind Energy (blade design, thermal nacelle, wind farms, etc.) • Heat exchangers (single – phase and two – phase heat

exchangers, combustion heaters,…). • Heat storage by liquids and using phase change materials. • Engine cooling and air conditioning in the automobile and the

aeronautical fields. • Aerodynamics, etc..

Thermal and fluid dynamic optimization of thermal systems and equipments. Application of the acquired

know-how from the basic studies

Mathematical formulation, numerical resolution and experimental validation of heat and mass

transfer phenomena.

• Natural and forced convection • Turbulence simulation (RANS, LES, DNS) • Combustion • Two-phase flow (VOF, two fluid models) • Solid-liquid phase change (PCM materials) • Radiation (surface and participating media) • Porous media • Computational Fluid Dynamics and Heat Transfer

(CFD&HT) • Compressible effect and noise evaluation • Computational Structure Dynamics (CSD) and Fluid

Structure Interaction (FSI) • Aerodynamics • High performance computing: Numerical algorithms and

solvers, parallel computing, etc.


Computational Fluid Dynamics and Heat Transfer (CFD&HT): TermoFluids code

• Modular object-oriented buildings (rooms, walls, HAM+VOC; IAQ, active virtual control): NEST buildings • Multiscale approach wind energy applications : NEST wind farms • Multiscale approach solar tower receivers: NEST CSP • Thermal Energy Storage Tanks: NEST STES & LTES • Vapor Compression, absorption and adsorption refrigeration and systems NEST cycle • Condensers, evaporators and radiators : NEST heat exchangers • Hermetic reciprocating compressors: NEST compressors

• 3D parallel unstructured code • DNS, RANS and LES turbulence models • Dynamic mesh methods for CSD and FSI • Radiations, combustion • Multi phase phenomena • Multi physics modelling

Object Oriented tools for thermal systems and equipments: NEST code

HU

CECRC

CFE

Tube API-ASTM 18 "

BA

EV

Flexible duct

2.5

m

8 m

Separation between the chamber and thefloor with partitions

Difussorextractable

Shock absorber + weighing machine

CMI

Galvanised tube


CTTC High Performance Cluster (HPC – JFF)

• Vapor compression refrigerating systems (R600a, R134a, CO2, etc.) • Calorimeter compressor test • Fin and tube heat exchangers test loop • Climate chamber • Motor bench • Storage tanks • Flat plate solar collectors • Different types of ventilated façades • Bioclimatic building

• Beowulf HPC cluster. • Infiniband DDR 4X network interconnection between nodes with latencies of 2.25 microseconds with a 20Gbits/s bandwith. • The system of files allow unified capacities of several Petabytes highly scalable. • 128 nodes, each node has two Quad-core CPUs, total of 1024 processing cores. • 40 nodes, each node has 32 Cores, total of 1280 processing cores.

CTTC Experimental facilities


1. Research project ref. C-10104; Company: Huangshi Dongbei Electrical Appliance Co, Ltd.; Funding: 180,000 euros; Title: Technology Development Cooperation Agreement for LC Series, Period: 2014-2015.

2. Research project ref. ID-620129 (SP1-JTI-CS-2013-01 Cleansky project; Funding: 180,987 euros; Title: EFFAN – Efficient Fan, Period: 2014-2015.

3. Research project, ref. FP7- EeB.NMP.2013-3, E01199; Title: RESEEPE Retrofitting solutions and services for the enhancement of energy efficiency in public edification; Funding: 368.871 Euros; Period 2013-2015.

4. Research project Q-00023; Company: EIT-KIC InnoEnergy project; Title: Thermal storage for concentrating solar power plants; Funding: 650000 Euros; Period: 2011-2014.

5. Research project C-08632; Company: Anortec, S.L.; Title: Research and development for the aerodynamic design of the blades of aerogenerators; Period: 2011-2012.

6. Research project Q-00011; Company: EIT-KIC InnoEnergy project; Title: Energy storage as necessary part of energy balanced building and districts; Period: 2011-2014.

7. Research Project J01595; ref: ENE 2010-17801; MEC (Spanish Government); Title: Development of high performance parallel codes and algorithms for optimizing the design of thermal systems and equipments. Peroid: 2011 – 2013.

8. Research Project F00299;ref IPT-020000-2010-30; INNPACTO (Spanish Government), Company: Fagor Electrodomésticos ; Title: Modular domestic refrigeration systems with high energy efficiency (KERS); Funding: 439552 Euros; Peroid: 2010 – 2013.

9. Research Project E01053, ref. 218849, ISP-1; European Commission, Directorate-General XII; Companies: Snecma, Astrium, AVIO, Mikroma, Alcimed, Bonatre; Funding 206250 Euros; Title: In Space Propulsion 1; Period:2009-2012.

10.Research Project, ref. C07564; Company: Abengoa Solar New Technologies; Title: Project “ConSOLI+Da” Consorcio Solar de Investigación y Desarollo; Subject: Vapour receivers for solar tower power plants; Funding 500000 Euros; Period:2008-2011.

Top 10 CTTC-UPC research projects within last 5 years


• Our interests in H2020: EEB-01-2016: Highly efficient insulation materials with improved properties EEB-04-2016: New technologies and strategies for the development of pre-fabricated elements through

the reuse and recycling of construction materials and structures EEB-06-2017: Highly efficient hybrid storage solutions for power and heat in residential buildings and

district areas, balancing the supply and demand conditions EEB-07-2017: Integration of energy harvesting at building and district level

EE-01-2017: Waste heat recovery from urban facilities and re-use to increase energy efficiency of district

or individual heating and cooling systems EE-04-2016-2017: New heating and cooling solutions using low grade sources of thermal energy EE-10-2016: Supporting accelerated and cost-effective deep renovation of buildings through Public

Private Partnership (EeB PPP) EE-12-2017: Integration of Demand Response in Energy Management Systems while ensuring

interoperability through Public Private Partnership (EeB PPP) EE-20-2017: Bringing to market more energy efficient and integrated data centres.

LCE-06-2017: New knowledge and technologies LCE-11-2017: Near-to-market solutions for reducing the water consumption of CSP Plants LCE-12-2017: Near-to-market solutions for the use of solar heat in industrial processes

EEB

EE

LCE

SPIRE-04-2016: Industrial furnace design addressing energy efficiency in new and existing furnaces

SPIR

E


FP7-2013-NMP-ENV-EeB (2013-2017)(8.800.000,00€)

REtrofitting Solutions and Services for the enhancement of

Energy Efficiency in Public Edification (RESSEEPE)

Example results from European RTD projects:


Isolation strategies for energy conservation Aerogel-based superinsulating mortars VIP panels

Solar strategies for energy and heat recovery EC windows PV panels coupled with ventilated façades High efficiency flat plate solar collectors

Strategies for thermal energy storage Latent heat thermal energy storage Sensible heat thermal energy storage Seasonal thermal energy storage

Lighting strategies based on LED solutions Strategies for efficient HVAC systems

Dimensioning and control strategies Predictive models

Combining technologies

Technologies for Retroffiting solutions

Coventry University George Eliot Building

(Coventry, UK)

Balderskolan (Skellefteä, Sweden)

Hospital de Terrassa (CSPT)

Hospital de Sabadell (Parc Taulí)


Isolation strategies

Step 1&2: Hydrolisis-condensation Step 3: Drying: Supercritical & Ambient pressure

Aerogel-based superinsulating mortars

• Rectangular shape • Two different materials

• 100 hexahedral cells in the vertical direction

• Analytical solution

Numerical modelling validation

Numerical modelling test The value of λavg is numerically obtained calculating the amount of heat flux q, passing through the area of a sample’s cross section, A, knowing the conductivity of the different materials λk and the temperature difference, ∆T=10ºC, and length ∆L=40 mm, between top and bottom boundaries.

.


Isolation strategies Vacuum insulation panels

va-Q-plus VIP embedding into PU Numerical modelling

• Rectangular VIP material of dimensions 990x590x12 mm, equidistantly surrounded by PU material such that the resulting overall element has dimensions 1000x600x20 mm.

• The thermal conductivity of the VIP is 0.004 W/m·K, while the PU material presents a value of 0.03 W/m·K.

• Three different situations are

analysed: (a) single CombiPlate element, (b) two coupled CombiPlate elements, (c) three combined CombiPlate elements.

Numerical modelling test case A constant heat flux is imposed at the top and bottom boundaries with given temperatures of 10 and 20 ºC, respectively, and adiabatic conditions are imposed at the lateral boundaries. The value of average thermal conductivity, λavg, is obtained by numerically calculating the amount of heat flux, q, passing through the area of the sample’s cross section, A, knowing the conductivity of the different materials, λk, and the temperature difference, ΔT=10 ºC, and length, ΔL=20 mm, between the top and bottom boundaries. Then, λavg is evaluated as


Solar strategies and heat recovery PV panels coupled with ventilated façades

Numerical modelling

PV Panel Temperature Mass flow through ventilated channel Evacuated heat in the ventilated channel


Solar strategies and heat recovery High efficiency flat plate solar collectors

TIM is used as additional cover to decrease the heat losses by convection from the top of the collector.

A ventilation channel with a thermally actuated door is inserted below the absorber in order to protect the collector from stagnation conditions.

This collector is able to supply heat up to 100ºC with good efficiency.

Improved Flat Plate Collector

Instantaneous temperature map for the ventilating channel under stagnation (channel convection optimization)

Instantaneous temperature map for the honeycomb panel (TIM convection optimization)

Three dimensional numerical

simulation of the honeycomb cell (TIM

conduction and radiation optimization)

1: Standard FPC 2: Experimental previous prototype 3: Double glazed PFC 4: FPC with TIM passive overheating 5: UPC collector 6: vacuum tubes collector

Advantages of our improved FPC: Better efficiency than conventional FPC. Performs better than double glazed FPC. vacuum tubes collector performs better but its cost is about 3 times higher.


Strategies for thermal energy storage Sensible heat thermal energy storage

The sensible heat storage is one efficient way of storing thermal energy. The stored energy (from solar collectors…) can be delivered to be used in many applications (domestic sanitary hot water…) • High-level numerical simulation platform for storage systems. • Predict the thermal behavior. • Find the most appropriate geometry and materials.

• For the fluid inside the tank is unstructured mesh with 1.038.360 number of elements

• For the internal fluid flow pipe is discretized with a Cartesian grid of 116 x 4 control volumes.

• And the fluid flowing through the tube has 116 control volumes.

Numerical modelling

Evolution of non-dimensional temperature of the in-tank water at different positions

Evolution of non-dimensional temperature of the in-coil pipe water at different positions

Comparison between the numerical and experimental results (heat extraction process):

Heat and Mass Transfer Technological Center (CTTC) · Heat and Mass Transfer Technological Center...

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