Gareth Rowlands
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Gareth Rowlands ABB LTD. Output. Input. 100 %. 20 %. Potential is not used sufficiently !. The Challenge: Searching for the lost Energy. … in Buildings. What's going to drive the future?. Legislation - Building Regulations (Low Energy Buildings Class) - Climate Change Levy

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Gareth Rowlands ABB LTD

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Gareth Rowlands

ABB LTD


Output

Input

100 %

20 %

Potential is not used sufficiently !


The Challenge:

Searching for the lost Energy

… in Buildings


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


  • Comfort ….

  • Security …

  • Economy ??

  • How ? How much ?


Case Study: Lighting - the conventional Approach

Energy Calculation

All figures are real figures used for the investment calculation of a new office complex in the United Kingdom.


Case Study: Lighting - the KNX Solution

Energy Calculation


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


University with Seminar Rooms: Comparision of two

Rooms (Energy for Light)


University with Seminar Rooms: Comparision of two

Rooms (Energy for Heating)


Efficiency Potential: Lighting

Source: Energieeffizienz automatisien, LonMark Deutschland e.V. Comparison to reference buildings according to DIN V 18599 or prEN 15232


Efficiency Potential: Heating and Cooling

Source: Energieeffizienz automatisien, LonMark Deutschland e.V. Comparison to reference buildings according to DIN V 18599 or prEN 15232


  • 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)


  • 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


  • Project description:

    Investigation ofaKNX-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


  • 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)


  • 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


Room Temperature Control: conventional …

Thermostat Stage 5 - does not work for sure !

Problem:

Discipline of

the user


Room Temperature Control: conventional …

Thermostat Stage 3 - may be it works ?

Problem:

Accuracy


Room Temperature Control:intelligent …

It works !


Room Temperature Control: intelligent…

Presence depending

Precise


Room Temperature Control: intelligent …

Time depending


Room Temperature Control: intelligent …

Event driven


A typical example: Heating - conventional

not occupied

Evening classes

not occupied

Morning lessons

Afternoon lesson

School Classroom

Comfort 21ºC

Comfort 20ºC

mean room temperature ~ 19.5 ºC

Night 16ºC

04:00 08:00 12:00 16:00 20:00


A typical example: Heating - according to demand

not occupied

not occupied

Evening classes

Morning lessons

Afternoon lesson

School Classroom

Comfort 21ºC

Standby 18ºC

mean room temperature ~ 17.5ºC

Night 16ºC

04:00 08:00 12:00 16:00 20:00

They say: A temperature reduction of 1ºC can mean energy savings of 6%.


Lighting Control: conventional …

Illumination turned on, sun from outside, nobody in the room


Lighting Control:

intelligent …

Presence depending

Constant Light

Control


Blind control: conventional …

Sun is shining, Blinds completely closed, Light on


Blind Control: intelligent …

Sun is shining, Noon, Lamellas horizontal


Blind Control: intelligent …

Sun shines , Afternoon, Lamellas slightly closed


Blind Control: intelligent …

Sun shines, evening, Lamella almost completely closed


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


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


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


Integration of Energy Meter

Visualisierung


  • 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

+

Why measuring electrical Energy ?

$


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