research on building automation and intelligent building...

Research on building automation and intelligentbuilding design in the zafh.net research network

Presentation and Introduction to the poster Exhibition

Prof. Dr. Martin Becker, Biberach University of Applied Sciences

Stuttgart, September 17, 2010

Prof. Dr. Martin Becker, Biberach University of Applied Sciences

Prof. Elmar Bollin, University of Applied Sciences

Prof. Dr. Ursula Eicker, University of Applied Sciences Offenburg

zafh.net Germany

HOCHSCHULE BIBERACH

Research Cluster zafh.net

2Prof. Dr. Martin Becker, Dipl.-Ing. (FH) Alexander Adlhoch, M.Sc.

Biberach University of Applied Sciences

Prof. Elmar Bollin research center netUniversity of Applied Sciences Offenburg

About zafh.net:



� Research Cluster for Sustainable Energy Technologies for Buildings in the South West of Germany

� Networking of scientists, developers, building managers.

� zafh.net operates Automation Devices via Internet or other communication channels.

� Various Software Tools run at different locations using distributed expertise for a better matching of energy supplies and energy demands


zafh.net Centre of applied research - sustainable energy technologyZentrum für angewandte Forschung an Fachhochschulen Nachhaltige Energietechnik

zafh.net features

� Remote Control of Buildings

� Sustainable Building Climatisation in Summer



Summer

� Solar Thermal Cooling Systems

� Energy Management of Buildings

� Energy Management of City Districts

� Energy Consumption of Green Buildings


HOCHSCHULE BIBERACH

Research on building automation and intelligentbuilding design in the zafh.net research network

Presentation and Indruduction to the poster Exhibition

PolycityStuttgart, September 17, 2010

Prof. Dr. Martin Becker, Dipl.-Ing. (FH) Alexander Adlhoch, M.Sc.


Presentation and Indruduction to the poster Exhibition

Martin Becker, Alexander Adlhoch

Biberach University of Applied SciencesInstitute for Building and Energy Systems

zafh.net research cluster, Biberach

HOCHSCHULE BIBERACH

Demand of holistic design and interaction of

building envelope(building structure, façade systems, …)

building systems(Heating, cooling, ventilation, lighting, …)

Sustainable Building Design and Operation of Buildings



optimized operation of buildings systemsconsidering the user comfort and energy efficiency by

advanced building automation and facility management

HOCHSCHULE BIBERACH

Energy efficiency in building and energy systems

energy savingpotential %

range method e.g.amortization in years

user behavior, energy saving„active energy management”

building services

engineering

operation 5 - 20

10 - 60

0 - 5

2 - 10HVAC, lighting, control,

electrical drives, combinedcooling, heating and power

HVAC, lighting, controlelectrical drives, combinedcooling, heating and power



> 50building envelope

engineering

insulation, windows, thermal bridges,building physics

10 - 60

•Where should we adopt building and room automation to get the best energy savings?

•How can we achieve and prove this energy savings?

•How can we develop and test new control strategies?

cooling, heating and powercooling, heating and power

Research topics at Biberach University:

HOCHSCHULE BIBERACH

50

80

40

40

50

60

70

80

90

Pot

entia

l ene

rgy

savi

ngs

in %

Energy saving by building automation and control systems (BACS)



5

1210

20

2

3735

0

10

20

30

40

Heating Regulation ofsunblind

Lighting Cooling Ventilation

Pot

entia

l ene

rgy

savi

ngs

in %

Source:Literature study by Martin Becker, Peter Knoll,Biberach University of Applied Sciences

SunblindShading

HOCHSCHULE BIBERACH

Possibilities to develop new control strategies

SimulatedController

Simulation models of

building and HVAC systems

Simulation

Simulation



Hardware Controller

Building and HVAC systems

Reality

Closed LoopControl

Modelica /

Dymola

MATLAB /

Simulink

LabMap (middleware) nvironment

TRNSYS

Hardware-in-the-loop system

� Link to building models

� Modeling in MATLAB/Simulink und Dymola

� LabMap as Middleware to



LabMap (middleware)

Hardware interface emulation en

field device

Hardware controller

� LabMap as Middleware to operate the hardware interface

� hardware interface with free configurable in- and outputs

� Control strategy that should be tested implemented in a PLC as test controller

HiL – Test Environment at Biberach University



HW-Interface

Room-Controller

Room automation in reality and simulation



5

Op_RT

4

T_AL

3

CO2_Ist

2

T_Ist

1

Phi_Ist

solare_Str

MATLABFunction

rel_PHI rF-M oni tor

Pers_Flag

Qkon_IN

Qstr_IN

PHI_Ista

CO2_Ista

innere_Last

MATLABFunctionVar_Str

Var_PHI

-C-

Um gebungs-temperatur

Innenwand Flur

-C-


Innenwaende

-C-


Decke

-C-


Boden

SimTBA_Q

To Workspace7

T_Ist

Sim_Zeit

Qkon_DE

Qstr_TBA

T_TBADe

TBA_Decke

TBA-Moni tor

T&Str-Moni tor

Step

0

Solarkonstante

T_U

T_Ist

T_U2

T_UBO

T_UDE

T_UFlur

T_TBADe

Q_W

Qkon_W

Qkon_DE

OT

Raum model l

Qkon_IN

Qstr_IN

Q_HZ

PHI_ZU

CO2_Zu

Q_W

Qkon_W

Q_INF

T_U

Q_sol

LTINF

Q_LM

LTM

Q_LF

LTF

PHI_AL

Qstr_HZ

Qstr_TBA

T_Ist

PHI_Ist

CO2_Ist

Raum luft

Pers-Moni tor

-C-

PHI

T_Ist

OTOp_RT

Operative Raum tem p.

Mux

Mux

T_Ist

T_Ua

V_ML

LA_FLAGb

V_Fe

Vv oll_Fe

Q_INF

LTINF

Q_ML

LTML

Q_FL

LTFL

Luftaustausch

LW-M oni tor

Q_Str Q_sol

Einstrahlung

MATLABFunction

Belegung

293

Basis_T

Aussentemp.

7

To

6

V_ML

5

Vvol l_Fe

4

V_Fe

3

Qstr_HZ

2

Qkon_HZ

1

Sim _Zeit

� Monitoring large-scale solar thermal systems for heating and cooling

zafh.net research group OffenburgFocus Solar Thermal Systems



cooling


View to FESTO Office Building at Esslingen


Biberach University of Applied Sciences22.10.2010 14


Introduction Simplified Hydraulic Scheme

Total collector area: 1330 m²Slope: 30°Azimuth 18°

Gas BoilerWaste Heat

3 Coolingtowers

Buffertank



To concrete core activation

Waste HeatRecovery

AdditionalHeat Consumers

Air Conditioning

Adsorption Chillers1 MW

ä


View and Data of the Solar Heating and Cooling System at FESTO

� 3 adsorptions chillers with

3 x 353 kW

� 395 thermal active foundation

pillars with 150 kW totally;

� night ventilation system.

� air compressor waste heat



� air compressor waste heat

recovery: ca. 800 kW

� gas boiler: ca. 5 MW

� floor space: ca. 27.000 m²

� space heating and cooling

system: convective heating

system, thermal-active

building system,


ResultsJune 2008 until March 2010

ä



Attention: Because of valve fail function lower demand during 06. – 15.08.08.Because of sensor error estimated 9 % thermal buffer storage losses during 15.09. - 06.10.08


R&D Projects

� Development of modern communication techniques using advanced tools such as weather forecasts and simulation as well as internet based services

zafh.net research group Offenburg:

Focus Non-residential Buildings



internet based services � Operation of particular buildings or

city districts applicating systems for sustainable energy services.

� Monitoring and evaluation and optimization.


Optimization of night ventilation by BA-integrated weather forecasts

Predictive Operation of the SIC Building




idB

weatherforecast

idB intelligent dynamic Building Automation



simulation

idB

� Simulation of different options� Weather forecast online� Evaluation of simulation results� Automatic choice of best suited

operation mode


SIC Experiment - Results of predictive control

with Prognosis

conventional

Energy consumption compared to conventional control

Ele

ctric

Pow

er

Consu

mption in k

Wh

conventional

predictive

1987 kWh

1224 kWhSavings: 763 kWh (38%)



Ele

ctric

Pow

er

Consu

mption in k

Wh


Radio Transmitted Weather ForecastsUpcoming Project



Local weather readings for optimisation


Welcome to the poster exhibition



research on building automation and intelligent building...

Documents