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Continuous Optimisation. JISC Improved Sustainability Across Estates Through The Use of ICT Continuous Optimisation – an Imperial College estates initiative reducing the carbon consumption of plant & services, and how ICT infrastructure underpins it’s delivery.

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Continuous optimisation
Continuous Optimisation

JISC

Improved Sustainability Across Estates Through The Use of ICT

Continuous Optimisation – an Imperial College estates

initiative reducing the carbon consumption of plant & services, and how ICT infrastructure underpins it’s delivery


Continuous optimisation content
Continuous Optimisation - Content

Content

  • Continuous Optimisation (ConCom) – what is it?

    • Background

    • Initiatives

      • Flowers building ‘night set-back’

      • Air change rationalisation

      • Filter optimisation

  • How does ICT support Continuous Optimisation?

    • TREND system

    • Carbon Desktop

    • Real Time Logging


  • Continuous optimisation1
    Continuous Optimisation

    Continuous Optimisation (ConCom) – what is it?


    Continuous optimisation background
    Continuous Optimisation - Background

    Background

    • Imperial College’s ‘Carbon Management Plan’ requires us to achieve a 20% reduction in carbon consumption by 2014.

    • 84,026 tCO2 reduced by 16,805tCO2 to 67,221tCO2

    • Continuous Optimisation of plant & services, targeted to deliver 4,903tCO2

    • This can only be achieved if we have:

      • Extensive control systems

      • Robust operational information

      • The cooperation of the academic community

  • As a Science, Engineering and Medicine focussed University, our research and teaching relies heavily on controlled environments.


  • Continuous optimisation background1
    Continuous Optimisation - background

    • We are challenging how environments were originally commissioned by considering:

      • The original design, at sign-off

      • How the environments are now being used

      • The occupation strategy

      • What service strategies are really needed to provide, safe and productive environments, without compromising our research & teaching.

  • Through Continuous Optimisation (continuous commissioning ‘ConCom’), we are implementing:

    • Air change volume adjustments

    • AHU operational set-backs (temperature & time)

    • Introducing more efficient plant

    • Adjusting pump delivery to meet flow demands

    • Improving filter efficiencies

    • Introducing occupancy controls e.g. CO2 sensors, ‘user switches’


  • Continuous optimisation flowers building night set back
    Continuous Optimisation – Flowers building ‘night set-back’

    Flowers Building ‘Night set-back’

    Initiative


    Continuous optimisation flowers building night set back1
    Continuous Optimisation – Flowers building ‘night set-back’

    Flowers Building ‘Night set-back’

    Methodology

    • We identified Flowers building main air handling services were operating 24 hours a day, 7 days a week

    • Environmental conditions and operational dependencies were discussed with users

    • The four supply & extract air handling units were re-commissioned to ensure they could continue to operate to the original design

    • This helped establish that new motorised dampers and controls would be required to manipulate the air pressures and volumes, while ensuring that dedicated equipment areas continued to receive 24hr ventilation / cooling.


    Continuous optimisation flowers building night set back2
    Continuous Optimisation – Flowers building ‘night set-back’

    Methodology (cont’d)

    • The energy profile for the building was then measured across a normal week

    • The new controls and motorised dampers were installed

    • The air supply pressure was then reduced from 400pa to 300pa

    • The air volume delivered overnight was reduced to an average of 6 air changes / hour, from 13, between 22.00hrs to 07.00hrs.

    • The energy profile for the building was measured throughout this process and checked in subsequent weeks.

    • Further commissioning followed; reducing air pressures, and extending the time to between 18.00hrs to 07.00hrs, more savings resulted.


    Continuous optimisation flowers building night set back3
    Continuous Optimisation – Flowers building ‘night set-back’

    Savings

    • The base load has reduced from 280kW to 210 kW a 70kW saving

    • Day time air pressure was reduced, heating & cooling savings resulted

    • This realised overall savings of


    Continuous optimisation flowers building night set back4
    Continuous Optimisation – Flowers building ‘night set-back’

    Electricity profile the week before the damper replacement and night setback initiation

    Dampers replaced (Mon 5th & Tues 6th October)

    Night set back initiated Wednesday 7th October

    kW

    400

    320

    240

    160

    80

    Base load has reduced from 280kW to 210kW



    Continuous optimisation air change rationalisation1
    Continuous Optimisation – Air change rationalisation

    Air Change Rationalisation

    • As part of our ConCom programme we challenge the air change strategy for each building, comparing the design, current operation and recommended standards.

    • CIBSE guidelines recommend 6 air changes / hr for laboratories.

    • We find that our environments are commissioned within significant excesses of this standard, often between 10 and 14 air changes / hr.

    • Working closely with users, we measure the current air changes, and then gradually adjust the fan-sets, optimising their delivery but without compromising the business need or safety.


    Continuous optimisation air change rationalisation2
    Continuous Optimisation – Air change rationalisation

    • This approach can deliver significant savings through:

      • reduced fan motor speeds

      • reduced heating demands

      • reduced cooling demands

  • An example of this approach in the Sir Alexander Fleming building, where we focussed on 3 of the main AHU’s has already delivered annual savings:

    980,588 kWhrs, £31,450 275 tonnesCO2


  • Continuous optimisation air change rationalisation3
    Continuous Optimisation – Air change rationalisation


    Continuous optimisation air change rationalisation4
    Continuous Optimisation – Air change rationalisation


    Continuous optimisation air change rationalisation5
    Continuous Optimisation – Air change rationalisation

    Carbon Desktop - Electricity demand profile for Transformer 40 - MCP3 at SAF.

    MCP 3 feeds AHUs 1,2,3, 4, 7,8,17,18,16,9 & 23. 

    A further £15K in heating and cooling savings using bin weather data.



    Continuous optimisation filter optimisation1
    Continuous Optimisation – Filter Optimisation

    Filter Optimisation

    • Most air handling units (AHU’s) have integral filter strategies, applied primarily to supply, and for some applications, the extract.

    • Filter media provides significant resistance within the air flow path, resistance increases as filters become blocked.

    • Higher resistance of the filter, results in increased energy consumed by fan motor to provide the required air flow.

    • Initial trials (Carbon Trust Funded) in the SAF building have shown, that by using filter media (e.g. HiFlo bag filters) with a larger surface area, significant savings can be achieved on fan motor power.


    Continuous optimisation filter optimisation2
    Continuous Optimisation – Filter Optimisation


    Continuous optimisation filter optimisation3
    Continuous Optimisation – Filter Optimisation


    Continuous optimisation filter optimisation4
    Continuous Optimisation – Filter Optimisation


    Continuous optimisation filter optimisation5
    Continuous Optimisation – Filter Optimisation

    S Flow bag

    Hi flow bag

    Opakfil Rigid bag

    30/30 Pleated Panel


    Continuous optimisation how does ict support continuous optimisation
    Continuous Optimisation – How does ICT support Continuous Optimisation?

    How does ICT support Continuous Optimisation?


    Continuous optimisation trend system
    Continuous Optimisation – TREND System

    TREND System (BMS)

    • Imperial College has the largest TREND Building Management System in the UK (original installation commenced1996).

    • Traditionally it has been used to monitor the operational status of plant & services and in particular, plant failure (replaced Sauter).

    • This system was stand alone with a ‘hard wired’ network, which as it grew, became less reliable and access speed slowed significantly.

    • To overcome these issues and future demand we now run the BMS over the Cat 3 network, which assures capacity, improves access and has increased reliability.

    • This approach has allowed us to widen access via a web link, and start utilising it’s potential for improving sustainability through better control and awareness.


    Continuous optimisation flowers building night set back5
    Continuous Optimisation – Flowers building ‘night set-back’

    Electricity profile the week before the damper replacement and night setback initiation

    Dampers replaced (Mon 5th & Tues 6th October)

    Night set back initiated Wednesday 7th October

    kW

    400

    320

    240

    160

    80

    Base load has reduced from 280kW to 210kW


    Continuous optimisation carbon desktop
    Continuous Optimisation – set-back’Carbon Desktop

    Carbon Desktop



    Continuous optimisation carbon desktop2
    Continuous Optimisation – Carbon Desktop set-back’

    Pre Set-Back

    Post Set-Back


    Continuous optimisation carbon desktop3
    Continuous Optimisation – Carbon Desktop set-back’

    Pre Set-Back

    Weekly range =

    0.4 tCO2


    Continuous optimisation carbon desktop4
    Continuous Optimisation – Carbon Desktop set-back’

    Post Set-Back

    Weekly Range = 0.8 tCO2


    Continuous optimisation real time logging
    Continuous Optimisation – set-back’Real Time Logging

    Real Time Logging


    Continuous optimisation real time logging1
    Continuous Optimisation – set-back’Real Time Logging

    Real Time Logging

    • Imperial College has spent over £1M in extending our metering capacity in the past 2.5 years.

    • Despite this investment, this growth generally doesn’t extend itself to individual items of plant, which can make assessment of actual load, and any beneficial improvements difficult to monitor.

    • We are introducing ‘Real Time Logging’ utilising meters with radio interfaces linking to an accessible website.

    • This allows us to run real time trials e.g. AHU fan motors with filter changes and verify savings.


    Continuous optimisation how does ict support continuous optimisation1
    Continuous Optimisation set-back’– How does ICT support Continuous Optimisation?

    • The use of these approaches, provide fundamental support to our ConCom programme and help to:

      • Raise awareness within the academic community

      • Demonstrate improved sustainable performance

      • Validate data and savings


    Continuous optimisation2

    Academic Community set-back’

    Building Management

    ICT Services

    Continuous Optimisation

    How are we achieving improved sustainability

    TOGETHER