ies faculty - big data in building services
TRANSCRIPT
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IES Faculty EventIntelligent Big Data in Building Services
Presenter: Dr. Naghman Khan
27th April 2016
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Better Buildings, Smarter Cities
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IES Research & DevelopmentBuilding Operation is key focus of IES R&D
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An Integrated Approach
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9:00 – 9:30 Registration & coffee 9:30 – 9:40 Welcome & introduction (Naghman Khan)9.40 – 10.05 What is Big Data? (Daniel Tuohy)10.05 – 10.50 Big Data in Building Services (Naghman Khan)10.50 – 11.20 Coffee break11.20 – 11.40 The Client’s perspective (Thomas Bouriot, TFT)11.40 -12.00 Live ERGON demo (Daniel Tuohy)12:00 – 12:30 Q&A, Discussion & Feedback forms12:30pm Finish
IES Faculty Agenda
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What is BIG DATA?
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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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IESVE for Performance IESVE for Architects IESVE for Engineers
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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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VE FOR PERFORMANCE
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VE for PerformanceEnergy performance predictions rely on:– Robustness of calculation engine– Data available
VE for Operation delivers the power of operational data into the robust VE Energy Performance model
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An Integrated Approach
IESVE Software
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Calibrated Models
• Building energy models may be used in all phases of
BLC from design to commissioning and operation.
However, for operational use, there is a need to
address any discrepancies between design
performance and actual performance;
• Building Model Calibration is the process of improving
the accuracy of simulation models to reflect the as-
built status and actual operating conditions
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Level 3 – BMS Data(Kit/Plant)
Level 2 – Sub-Metered Data(Zones)
Level 1 – Metered Data
Calib
rate
d M
odel
Levels of Calibrated Modelling
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30% Reduction in Lighting Load
62% Reduction in Equipment Load
Illustrative example of using data
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The combined impact of the actual equipment and lighting loads on the annual boiler energy compared with the Compliance profiles is shown below
The compliance model has a 34% reduction in heating energy when compared to the calibrated model.
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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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• BMS can log any data point but common practice is to log only default points on a 7 day memory cycle
• The building simulation model used throughout design and construction routinely becomes obsolete at handover
• The strategic value of the building model is underestimated
• No strategic consideration of logging requirements on handover
Industry IssuesBuilding Data
Down the Drain
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Innovative Technology Solution• IESVE 3D model shared between all
parties• Operational data from benchmark store
used to inform design• IESVE ApaceHVAC used to right-size
plant and save Energy + CapEx• IES ERGON Software deliver enhanced
calibration of the building simulation model using real-time BMS data to reflect actual plant performance, occupancy and weather conditions
• Platform with a difference – supports
commissioning, M&V, Soft Landings and
continual analysis of building operation
• Overlay of Design vs Real data streams –
performance differences reported, investigated
and resolved
• Data profiles can be plugged into future store
designs
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• BREEAM Outstanding Store
• Carbon emissions down by a massive 43.8% compared to the benchmark; 14% more savings than original expectation
• Chiller uses 25% less energy due to accurate predictions of store’s cooling needs. Also reduced CapEx.
Headline Results
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Simulation Methods York: Simulated Chiller Size
Steady State Dynamic Simulation
• Steady state method - evaluate heating and cooling loads for a peak weather condition at a single point in time
• Dynamic Simulation Method (DSM) - Evaluate heating and cooling loads over a design year taking into account internal load profiles and building thermal response
• Calibrated Simulation - As dynamic simulation but now with the ability to evaluate HVAC performance in line with advanced BMS control strategies
CalibratedSimulation
28% reduction against steady
state40% reduction against steady
state
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Implication• Technology is available • Clients will start demanding buildings which
operate closer to design predictions• Consultants need to stay ahead of the game• Enables Data Driven Design to feed into
Commissioning, Operation and Retrofit
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TFT
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ERGON demo
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VE for Performance ERGON – Real life building profiles
Training Monthly VE Face-to-Face training events & e-training NEW ERGON Training – ask us for more details Advanced HVAC Training Project Based Training
Consulting Support
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Dr. Naghman [email protected]/DiscoverIES
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Thank You