© abb stotz-kontakt gmbh 1 21-nov-15 knx and energy efficiency gareth rowlands abb ltd
TRANSCRIPT
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KNX and Energy Efficiency
Gareth Rowlands
ABB LTD
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KNX and Energy Efficiency
Input Output
100 %
Potential is not used sufficiently !
20 %
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KNX and Energy Efficiency
… in Buildings
The Challenge:
Searching for the lost Energy
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What's going to drive the future?
Legislation
- Building Regulations (Low Energy Buildings Class)
- Climate Change Levy
- Availability of government sponsored grants (Tax relief)
Economic Pressure
- The simple costs of running a building
The Environment
- Social consciousness "Naming & Shaming"
- Carbon footprint
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Comfort ….
Security …
Economy ??
How ? How much ?
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Case Study: Lighting - the conventional Approach
All figures are real figures used for the investment calculation of a new office complex in the United Kingdom.
Energy Calculation
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KNX and Energy Efficiency
Case Study: Lighting - the KNX Solution
Energy Calculation
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Assembly Hall + Office: Investment in KNX for
Lighting Control with Presence Detection
Connected Load: 91,5 KW
Price per KWH: 0,093 €
Reduction: 45 %
Investment: 106 T€
Saving per year: 8738 €
Return of Investment: 10 years
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University with Seminar Rooms: Comparision of two
Rooms (Energy for Light)
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University with Seminar Rooms: Comparision of two
Rooms (Energy for Heating)
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Efficiency Potential: Lighting
Automation Function Potential Savings
Influencing factors (Positive)
Constant Light Control(dimmed according to presence & brightness)
35 - 50 % - good natural lighting levels - required light levels > 300 lx- especially in combination with ST (below)
Automatic Lighting(switched according to presence & brightness)
25 - 45 % - good natural lighting levels- required light levels > 300 lx
Sunlight Automatic(blind & shutter positioning)
5 - 8 % - good natural lighting levels
Sun Tracing(Louvre angle positioning)
10 - 13 % - good natural lighting levels- especially in combination with CLC (above)
Staircase Lighting(Timed lighting)
? - areas of low usage
Source: Energieeffizienz automatisien, LonMark Deutschland e.V. Comparison to reference buildings according to DIN V 18599 or prEN 15232
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Efficiency Potential: Heating and Cooling
Automation Function Potential Savings
Influencing factors (Positive)
Timed Operating Modes 5 - 10 % - continuous operation of heating - low thermal-mass construction
Presence 5 - 10 % - long absences
Window Monitoring 5 - 10 % - low thermal-mass construction
Free Night Cooling ? - fresh air circulation must be possible
Peak Load Optimisation ? - especially air conditioning
Automatic Shading(Temperature controlled shutter positioning blinds)
5% - high natural lighting levels- external shading
Timed Shading ? - daylight warming- night time warmth retention
Source: Energieeffizienz automatisien, LonMark Deutschland e.V. Comparison to reference buildings according to DIN V 18599 or prEN 15232
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Customers ask ABB:
How can KNX help ? Potential for Savings ?
Current Situation: There are some information, sometimes with figures, rarely with fundamental background (… save up to 82 % … ?! …)
Real measurement (e.g. with comparision of buildings) is hardly available (University Bremen)
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Conclusion: Common project KNX and Energy efficiency with the university Biberach
ABB Stotz-Kontakt Busch-Jaeger Hochschule Biberach
The university Biberach offers study courses in the field of building technology and is already working on the topic energy efficiency in buildings
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Project description:
Investigation of a KNX-System with typical functions (Lighting, Shutter and blinds, HVAC) with defined conditions (Type of building, different user profiles) regarding possible savings
Consideration and calculation of the possible savings based upon DIN V 18599 and prEN 15232 in combination with existing softwaretools
Integration of products from ABB, including measurement of standby losses
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Project progress: Start: November 2007 Finalized by the University Biberach until November 2008 Followed by a preparation of the data for publication (Summary and
Presentation)
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Objection: Own consumption of the additional devices undo the possible savings Investigation of the university Biberach Typical own consumption of a KNX component: app. 200 mW
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Room Temperature Control: conventional …
Thermostat Stage 5 - does not work for sure !
Problem:
Discipline of
the user
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Room Temperature Control: conventional … Thermostat Stage 3 - may be it works ?
Problem:
Accuracy
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Room Temperature Control: intelligent …
It works !
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Room Temperature Control: intelligent…
Presence depending
Precise
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Room Temperature Control: intelligent …
Time depending
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Room Temperature Control: intelligent … Event driven
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A typical example: Heating - conventional
Comfort 20ºC
not occ
upied
Aftern
oon less
on
Even
ing
class
es
Night 16ºC
mean room temperature ~ 19.5 ºC
Morni
ng le
sson
s
04:00 08:00 12:00 16:00 20:00
Comfort 21ºC
School Classroomnot o
ccupied
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A typical example: Heating - according to demand
04:00 08:00 12:00 16:00 20:00
not o
ccup
ied
Aftern
oon
lesso
n
Even
ing
class
es
Night 16ºC mean room temperature ~ 17.5ºC
Mor
ning
less
ons
Comfort 21ºC
Standby 18ºC
They say: A temperature reduction of 1ºC can mean energy savings of 6%.
not o
ccup
ied
School Classroom
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Lighting Control: conventional …
Illumination turned on, sun from outside, nobody in the room
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Lighting Control:
intelligent …
Presence depending
Constant Light
Control
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Blind control: conventional …Sun is shining, Blinds completely closed, Light on
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Blind Control: intelligent …
Sun is shining, Noon, Lamellas horizontal
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Blind Control: intelligent …
Sun shines , Afternoon, Lamellas slightly closed
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Blind Control: intelligent …
Sun shines, evening, Lamella almost completely closed
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Conjunction of a few Functions:
Winter: Sun shines, no Person present, Light on, Blinds up, Heating Standby Mode Winter: Sun shines, Person present, Licht on, Blinds in Position, Heating Comfort Mode Winter: Sun does not shine, Person present, Light controlled, Blinds up, Heating Comfort Mode Winter (Weekend): Sun does not shine, no Person present Light off, Blinds down, Heating in Frost Protection Mode
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Conjunction of a few Functions:
Summer: Sun shines, no Person present, Light on, Blind down, AC Standby Mode Summer: Sun shines, Person present, Light on, Blinds in Position, AC Comfort Mode Summer: Sun does not shine, Person present, Light controlled, Blinds up, AC Comfort Mode Summer (Weekend): Sun does not shine, no Person present Light off, Blinds down, AC off
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Conclusion:
An intelligent and energy saving solution e.g. in an office building should be as follows:
Presence Detection Constant Light Control Room Temperature Control Shutter control depending on sun position
All in one system
One consistent solution
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Integration of Energy Meter
Visualisierung
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Why measuring electrical Energy ?
Save Energy and Costs
Inspection of consumers behaviour Consumption becomes transparent Fair splitting of costs Internal billing Detection of “Energy Thieves” Creation of incentives for cost saving Change of consumers behaviour Approach for automation Load management Monitoring of the installation
+
"If you cannot measure it, you cannot
improve it."
Lord Kelvin
1824 -1907
$
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