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BIFM Event: Intelligent Big Data in Building Facilities & Services

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BIFM Event Intelligent Big Data in Building Facilities & Services Mark Gifford, Consultancy Development Manager 20 th May 2016
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Page 1: BIFM Event: Intelligent Big Data in Building Facilities & Services

BIFM EventIntelligent Big Data in Building Facilities & Services

Mark Gifford, Consultancy Development Manager20th May 2016

Page 2: BIFM Event: Intelligent Big Data in Building Facilities & Services

IES Research & DevelopmentBuilding Operation is key focus of IES R&D

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An Integrated Approach

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BIG DATA in Building Services

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Gaps in Performance

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BER RegulatedLoad

Carbon Buzz Innovate UK Carbon Trust

57% of BER

280% of BER

Up to 400% of BER

Building Emissions Rate (BER) vs. actual in-use energy consumption

How Big is the Discrepancy?

Figures vary but it exists

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25%

25%25%

25%

Regulated LoadUnregulated LoadRemaining Performance Gap

Unregulated load accounts for an average of 25% of overall energy use

BER RegulatedLoad

Carbon Buzz Innovate UK Carbon Trust

Why the Discrepancy?

Goes up to 65% in offices

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Bridging the Discrepancy

Dynamic Simulation Model + Operational Data

ActualBuilding

Gap between predicted andactual performance can be closed

to 5-10%

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Untapped Data AssetToday increasing volume of Data is available at every

stage of the building life cycle

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Untapped Operational Data

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How much data

• Monthly kWh 12 points annually• HH kWh 48 points x 30 days x 12 months = 17,280 points• HH gas, heat… water……. = 50,000 points• Sub-meters, typical new office building might have 50• ……..data points increase exponentially = 2.5 million already• Portfolio of buildings…. 100 buildings large client, hundreds of

millions of data points• What about BMS?

• Typical office building with heating/cooling might have 300 relevant BMS points recording data (5 million for 1 building)

• What are we doing with this data?

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Digital Built Britain – BIML3• “The Information Economy Strategy identifies that our

most pressing societal challenges manifest themselves in our cities.

• Rapid urbanisation is a critical issue in emerging markets, which are demanding cleaner, more sustainable and healthier urban environments, with reliable sources of energy and less congestion.

• City leaders around the world are turning to integrated and intelligent smart systems and associated big-data concepts to deliver vital public services”

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Digital Built Britain – BIML3

“The ability to measure “in service” performance and compare it to “as briefed” and “as delivered” assets - providing the single biggest opportunity to improve both cost and carbon performance.

The ability to bring together through open data standards from design, construction and operations and across market sectors - offering the ability to analyse and create the learning feedback loops that industry needs to be able to deliver sustainable long-term improvements in asset performance.”

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BIML3

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Digital Built Britain – BIML3“Recent work in connection with the Government Soft Landings (GSL) initiative has highlighted that commercial mechanisms are not currently able to facilitate a greater focus on the absolute achievement of performance requirements.

The involvement of multiple parties employed on a skill and care basis makes it currently difficult to enforce performance requirements. This is a partial explanation of the widely observed ‘performance gap’ in buildings and is a key driver behind the introduction of GSL.”

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Digital Built Britain – BIML3

Snippets from ‘what does the future look like’..

• Data-enabled collaborative working in the design, construction and operation of assets enabling best use of capability in the supply chain to deliver value to customers

• Use of data recording asset operation and condition to understand asset performance, define better project briefs and to form the basis of new performance contracting models

• Application of remote monitoring, telemetry and control systems to the real time operation of assets and networks

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Untapped Operational Data

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Using Data

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Industry DemandOver 75% of Carbon Trust ESOS audits identified a need for better metering and/or BMS

Proportion of Carbon Trust ESOS recommendations relating to metering and/or BMS.

22%

31%24%

23%Metering

BMSBoth

Neither

[Source: Carbon Trust]

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Data OverloadIncreasing Volume, Variety & Velocity of Data

• Organise & manage it to reduce risk• Make sense of it to find opportunities • Deliver added value and save ££

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More data captured and managed = clearer picture of your building’s performance

Using Data to build a complete picture

With Analysis, Data is Powerful

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John Lewis York, UK

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Outstanding CollaborationCIBSE Collaborative Working Partnership Award

“John Lewis, York slashed its absolute carbon emissions by a massive 43.8%.”

• 4 Year Collaboration: Lateral Technologies, IES & Next Control Systems• Next Generation operational monitoring and energy management• IES-ERGON reads data from BMS and refines it with the design model to highlight

performance gaps

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Mapping Virtual to Real Data Points

Air Temperature

Room CO2

Heating Setpoint

Lighting Gain

Lighting Gain

Lighting Gain

Lighting kWhGL-1A

Beauty TemperatureL6O2S1

Cafe CO2L6O2S1

AHU-1 SA StptL4O8S4

F18C0011

F55F0001

PRTN0003

F1FF0001

F1FF0002

F1FF0003

Total Electricity

Lighting kWhGL-1A

Small Power kWhGL-2B

Catering kWhFL-4C

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Commissioning Support – Data Quality

Hyperlink to HTML Doc

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Commissioning Support – Chiller Operation

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Commissioning Support – FCU Operation

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Commissioning Support – FCU Operation

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Final Thoughts

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Implications• Technology is available now• Barriers = commercial politics & lack of skillset • Owners will start demanding buildings which

operate closer to design predictions – BIML3• Operational Data can feed (or re-seed) into

Design, Commissioning & Operation [+ Retrofit!]

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Mark [email protected]/DiscoverIES


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