An Evidence Based Future for Buildings. The Living Lab.
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1 An Evidence Based Future for Buildings. The Living Lab. A N D R E W B U L L M O R E P A R T N E R, H O A R E L E A C I B S E T E C H N I C A L S Y M P O S I U M R E F 1 6 8
2 Contents. The story so far. 1. Digital Built Britain: the present and future horizons 2. The optimised building 3. The Western Transit Shed Living Lab initiative
3 Digitalisation of our industry. Horizon of possibilities.
4 Digitalisation. A revolution in design and construction... and operation.
5 Crossover technologies. CAD and Maps, BIM and GIS.
6 Static to Dynamic. Operational BIM. W T S OP E R A T I ON A L BI M BIM - historically a design & construction based tool. Why the limitation? Operational BIM is a compilation of data aggregated from legacy BMS data and new data, including from an array of IoT devices.
7 The Digital Twin. Evidence on Demand. BIM is moving on. 3D visualisation and metadata networks allow a building to exist in physical and digital realms simultaneously. The Digital Twin is fast becoming reality.
8 Optimum buildings. It s all about creating value for life.
9 Technology is the answer. But what is the question? C E D R I C P R I C E
10 Intelligent Building. What s the Design Focus? Technology driven buildings User centred buildings, supported by technology User journey
11 Design Focus. Users / User Groups User Journeys User Experience Informs Influencing MEP design selection, and placement + New technology systems and requirements
12 Co-Creation. The Feedback Loop. Engage, Engage, Engage Set Objectives for User Centric Design. Implement and Report Change Consider Occupant Needs. Gather Occupant Feedback
13 Building Optimisation. Creating value for life. Whole life cost Energy & emissions Social value User centric design Cost efficiencies Resilient & future proofed
14 running costs The Performance Gap. Evidence Based Feedback. operation & maintenance variations v 1.0 time conditions complexities unique aspects contractual evidence based operational optimisation DESIGN FEEDBA CK I N BU I L DI N G S. user specification design standards factors v N.N evidence based design optimisation
15 Successful optimisation. Four key ingredients. 1. A clearly-defined target outcome. 2. Access to evidence relating to the target outcome. 3. A feedback loop by which the measurable outcome (observation based evidence) can be judged against the target outcome. 4. The ability to influence the system (take actions) to minimise the difference between the measurable outcome and the target outcome.
16 Evidence based optimisation.
17 Living Laboratory. Hoare Lea London Office (Western Transit Shed). Definition
18 What is a Living Lab? A user-centred, open-innovation ecosystem, operating in a territorial context (e.g. a building), integrating concurrent research and innovation processes in partnership with people.
19 Big Data. Design Information
20 Creating a Digital Twin. Physical Realm BMS data user data sensor data Digital Realm operational BIM evidence based control evidence based optimisation data analytics data visualisation metadata modelling
21 VISION Create a platform for collaboration, research and innovation to shape new ways of working and support the development of new products for our industry. GOAL To use our Hoare Lea offices as a living laboratory to explore, demonstrate & integrate emerging technologies & techniques, and learn how these will help us in designing future-proof and human-centric buildings 1. Demonstrate & test building technologies 2. Identify, collect & integrate building and occupant data 3. Validate modelling tools 4. Experiment to improve building performance (e.g well-being and energy)
22 How does it work? W T S OP E R A T I ON A L BI M FIVE KEY ELEMENTS i. Active User Involvement ii. Real-life Setting iii. Multi-Stakeholder Participation iv. A Multi-Method Approach v. Co-Creation
23 The Living Lab Current Initiatives Air Quality Monitoring & sensing Thermal Comfort Mapping Occupancy Management Sensing Desk Based Power Monitoring Operational BIM development Staff Engagement Surveys Digital Twin Development BMS Accessibility and Analytics Technology partner collaborations
24 We now integrate networks & people User interfaces Enhanced UI (App) Analytics FM Interface BIM AV Digital Signage Lifts Fire Alarm Metering Desk PIR Security Lighting HVAC Site sub-systems
25 We now integrate networks & people User interfaces Enhanced UI (App) Analytics FM Interface BIM Central Software Platform = Data Aggregation AV Digital Signage Lifts Fire Alarm Metering Desk PIR Security Lighting HVAC Site sub-systems
26 Improve/design/co-create Functionality Building optimisation People Health & wellbeing Analyse/discover/experiment Data analytics Experiments Integrate Data Aggregation & Integration Fully accessible open data repository Iterate Test & Measure Gadget Sensor 1 Gadget Sensor 2 BMS Sensor 3 Data 2 POE User Survey Data 1 Sensor 4
27 Some Early Lessons learned. Failure must be part of the project and needs to be embraced as such Evidence from failure is as valuable as evidence from success Evidence is essential at binary decision junctions Always question the status quo: is change necessary or even desirable Be wary of received wisdom - fighting the status quo can be tricky. and nothing slows work down like waiting for everyone to agree Indecision - how much do you really need to know before making a decision? Purposeful technology led disruption needs to be embraced and not fought
28 Thank you. hoarelea.com
29 One possible future Environment As A Service? Data driven, evidence based. or volume m 3? finishes views daylight temperature noise outlook comms mobility artificial light adjacencies humidity air quality colour BMS data user data sensor data or conditioned volume area m 2 energy Building + Engineering Systems staff productivity who will realise the value held in building operational data is it a risk or an opportunity to us?
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