Mathias Fraaß, Beuth Hochschule für Technik, Berlin...

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Inhouse SmartGrid M2M between HVAC appliances ETSI M2M Workshop, Mandelieu/France, 2013/11/5-7 TOPICS: ENERGETICAL ASPECTS OF HVAC THERMAL HOUSEHOLD OF A BUILDING INHOUSE SMART GRID AND M2M Mathias Fraaß, Beuth Hochschule für Technik, Berlin

Transcript of Mathias Fraaß, Beuth Hochschule für Technik, Berlin...

Page 1: Mathias Fraaß, Beuth Hochschule für Technik, Berlin …docbox.etsi.org/Workshop/2013/201311_M2MWORKSHOP/S07...Mathias Fraaß, Berlin ETSI M2M Workshop Mandelieu/France, 2013/11/5-7

InhouseSmartGrid

M2M between HVAC appliances

ETSI M2M Workshop, Mandelieu/France, 2013/11/5-7

TOPICS:

ENERGETICAL ASPECTS OF HVAC

THERMAL HOUSEHOLD OF A BUILDING

INHOUSE SMART GRID AND M2M

Mathias Fraaß, Beuth Hochschule für Technik, Berlin

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InhouseSmartGrid

ΣQM

T

μP Bus I/O ... μP Bus I/O ...PowerCircuits Controller Controller

Today`s Building Automation and Control (BAC)

ATTRIBUTES

▪ lifetime of plants and controllers up to 30 years

▪ steady processes under fixed control regime

STAKEHOLDERS

▪ BAC manufacturers, operators used to a certain BAC

▪ Building owners want interoperability → BACnet.

▪ Service providers (e.g. monitoring) need open data.

▪ Users want to access BAC with their smartphone.

▪ Manufacturers of advanced HVAC appliances needflexible communication beyond a fixed regime

MANAGEMENT

AUTOMATION

FIELD

M

MM

KL02

KL01

LÜ2

LÜ1FIL LH1 LK1 LH2 DB

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InhouseSmartGrid

Why HVAC has to advanceDISTRIVUTION OF SITE ENERGY EU 2010 (BDH)

THERMAL ENERGY

▪ 35% of site energy in the EU

▪ HVAC is a key technology.

ROOM HEATING

▪ 30% of site energy in the EU

▪ mainly done by combustion

▪ crucial point: fuel consumption

Buildings41%

Industrial Sector28%

Transportations31%

Electrical 15%

Thermal85%

CONSUMPTION IN BUILDINGS

▪ high and increasing

DHW 15%

RoomHeating

85%

RoomHeating

30%

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InhouseSmartGrid

Exploitation Rates of Fuels in Room Heating

BOILERS

CENTRAL POWER PLANTS

ELECTRICAL HEAT PUMPS

enhanced

THERMAL OUTCOME

▪ Combustion in domestic power stations, exploitation < 100%

▪ Central power plants/heat pumps/district heating, exploitation > 200%

DOMESTIC POWER STATIONS

33..50%Fuel

95%Fuel

Fuel 28..35%

Power Plant

83%

Heat Pump

250%33%

50% 200%400%

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InhouseSmartGrid

Distribution of Energy Sources

SITE ENERGY (Germany 2011)

87,5%Fossil and Nuclear

Biomass8,5%

4%

SOLAR ENERGY

▪ neither by biomass nor by solar generated electric energy

▪ any kind of fuel to be substituted by solar energy

▪ heating and cooling aggregates only at peak load

▪ advanced methods of using the environment

2,0% Wind Energy

0,7% Water Energy0,8% Photovoltaics0,5% Solar- and Geothermics

SUSTAINABLE HEATING AND COOLINGSolar

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InhouseSmartGrid

Advanced Methods - Buffering

▪ more important for heating

▪ suitable mainly in industrialized countries

▪ large extra storages needed

▪ not state of the art – technical challenge

16..26°C

SEASONAL DIURNAL

▪ more important for cooling

▪ suitable even in extreme climates (desert)

▪ concrete inside the building is sufficient

▪ feasable with today‘s appliances

Ou

tsid

e

Ou

tsid

e

Year Day

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InhouseSmartGrid

Basic Principles of Buffering

STORAGES

STORED ENERGY (EXERGY)

20°C 50°C

Anergy Exergy

20°C 28°C

PRINCIPLES

1. Large capacities

2. Low energy demand

3. Low temperatures of heating systems

45°C 23°CHigh temperature Low exergy Low temperature High exergy

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InhouseSmartGrid

Using 23°C

23°C

21,3°C20°C

3K 2K20°C

22°C20°C

23°C

22,9°C

22,8°C20°C

2,9K3K

THICK TUBES CAPILLARY TUBES

▪ conventional heating floor

▪ thick tubes deep in the plaster

▪ suitable for heat pumps

▪ advanced thermoactive slab

▪ capillary tubes (mats) below the finish

▪ suitable for advanced HVAC methods

13W/m²

28W/m²

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InhouseSmartGrid

Advanced Methods / Harvesting

▪ today‘s coverage of consumption: 2..5%

▪ better coverage with 23°C being exploitable

PASSIVE SOLAR HEATING WITH SHIFTING

▪ shortening of heating period (<10 months)

▪ feasable, if 23°C gains high heat flow

ACTIVE SOLAR HEATING

23°C 23°C

Q

QQ

Q Q

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InhouseSmartGrid

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 250

5

10

15

20

25

30

35

40

0.5

0.6

0.7

0.8

0.9

1.0

0.2 0.3 0.40.1

Combined Methods / Harvesting and Buffering

OUTSIDE CONDITIONS (GERMANY)

WET BULB:

17 °C

HYBRID COOLER

free and adiabaticcooling

HYBRID SLAB

24°C

16°C

24°C

21°C

Background matbuffering from free coolingduring the night

Foreground matdirect Cooling mainly fromadiabatic cooling

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InhouseSmartGrid

Combined Methods / Harvesting and Shifting

VARIABLE INSULATION ACTIVE INSULATION

12°C 13°C

23°C 28°C26°C

-10°C

20°C5°C

-5°C

▪ good insulation is a winter coat in the summer

▪ buildings cannot chill out in the night

▪ room temperature increases daily

▪ variable insulation pulls off the coat

▪ suitable for monolithic walls

▪ low temperatures from solar collectors in winter

▪ raise of temperature profile in the wall

▪ lower transmission loss

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InhouseSmartGrid

Temperature Household

LONG TIME BUFFERING

FREE AND ADIABATIC COOLING

SHORT TIME BUFFERING

VARIABLE INSULATION

ACTIVE INSULATION

SOIL COOLING

SOLAR HEATING

SPATIAL SHIFTING

▪ organs: decentral HVAC components working together

▪ bloodstream: heat transport by (capillary) tubing

▪ nerveous system: communication beyond conventional BAC

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InhouseSmartGrid

Requirements for Inhouse Smart Grids

▪ No steady processes, building behaviour and weather conditions relevant.

▪ Components (collector, insulation, …) become players in an interaction.

▪ Collector offers an energy supply, insulation claims an energy demand.

▪ Solar collector could also deliver energy to room heating or buffers.

▪ Insulation could also get energy from soil collectors or buffers.

▪ Which is the best supply, which ist the most urgent demand on the market?

▪ Components must become smart appliances making their own decisons.

▪ Additional data, BIM support and advanced status information are needed.

E.G. ACTIVE INSULATION ALONG WITH SOLAR COLLECTOR

Insulation

Solar Collector

M2M App.

M2M App.

dIA

dIA

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InhouseSmartGrid

Requirements for Semantics in M2M Ontology

PRINCIPLES

▪ multilayer: different layers, transition from machines (device A, input 1) to things (room D127)

▪ abstraction: semantics used to establish a common taxonomy (site, room, indoor temperature …)

▪ interactions: smart appliances work together based on common abstract termes (supply, demand …)

Anatomy

Availability

Operations

Presentation

Proceedings

Transactions

THINGS

MACHINES

plug (machines): who is?, connectivity, …

get status information: mode, charge control, …

play (machines): read inputs, write outputs, set values, …

plug (things): room, solar collector, location …

play (things): status informations, interactions of things

market: supplies, demands, contracts

REQUIREMENTS

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InhouseSmartGrid

Conclusions

▪ HVAC is a key technology for thermal energy turnaround.

▪ Advanced HVAC uses solar energy to a maximum extend, aggregates run only at peak load.

ENERGETICAL ASPECTS OF HVAC

▪ Technical processes are replaced by balance processes, which relate to weather and building behaviour.

▪ Thermal household needs systems which transports heat even at low temperature differences.

THERMAL HOUSEHOLD

INHOUSE SMART GRID

▪ Fixed regime is replaced by a market with supplies and demands of the involved smart appliances.

▪ Communication requirements are beyond conventional BAC, M2M and semantics are needed.