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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.
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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.
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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

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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.
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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

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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.

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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.
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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 desktop3
Continuous Optimisation – Carbon Desktop

Pre Set-Back

Weekly range =

0.4 tCO2

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Continuous Optimisation – Carbon Desktop

Post Set-Back

Weekly Range = 0.8 tCO2

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Continuous Optimisation – 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.
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Continuous Optimisation – 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

Building Management

ICT Services

Continuous Optimisation

How are we achieving improved sustainability

TOGETHER

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