IES Faculty EventIntelligent Big Data in Building Services

Presenter: Dr. Naghman Khan

27th April 2016

Better Buildings, Smarter Cities

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

An Integrated Approach

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

What is BIG DATA?

BIG DATA in Building Services

Gaps in Performance

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

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

Bridging the Discrepancy

Dynamic Simulation Model + Operational Data

ActualBuilding

Gap between predicted andactual performance can be closed

to 5-10%

Untapped Data AssetToday increasing volume of Data is available at every

stage of the building life cycle

IESVE for Performance IESVE for Architects IESVE for Engineers

Untapped Operational Data

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?

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”

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.”

BIML3

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.”

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

Untapped Operational Data

Using Data

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]

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 ££

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

Using Data to build a complete picture

With Analysis, Data is Powerful

VE FOR PERFORMANCE

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

An Integrated Approach

IESVE Software

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

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

30% Reduction in Lighting Load

62% Reduction in Equipment Load

Illustrative example of using data

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.

John Lewis York, UK

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

• 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

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

• 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

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

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

TFT

ERGON demo

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

Dr. Naghman KhanNaghman.khan@iesve.comwww.iesve.comwww.iesve.com/DiscoverIES

Thank You