2020 Virtual Content - 2021 Dates Coming Soon

AEC – Smart Tech – Smart Buildings

Jun 05 2020
10:30 pm - 12:00 pm

AEC – Smart Tech – Smart Buildings

Track Name: Friday 10:30 AM - 12:00 PM
Session Date: Jun 5 2020 10:30 pm - 12:00 pm

Out with the Old! How to Convert a 60s-80s Building into a Smart Building?

10:30 AM - 10:45 AM
This presentation is geared towards opening the minds of Building/Facilities owners on the opportunities for converting a 60's-80's building into a Smart Building. It will show how AC devices can be converted to DC Devices and how they are controlled. The idea behind this initiative is to use as much of the existing infrastructure as possible, make it smarter, reduce costs, increase energy efficiency and improve tenant lifestyle. This is all accomplished through low-cost IOT implementations and a lot of Building Science research. The goal of this presentation is to create a dialogue with Building Owners and assure them that they should take a step back when planning their next renovation or upgrade. Explore the possibilities and realities of the Internet of Things.


Dennis Dixon

WZMH Architects

Goldilocks and the Smart Building

10:45 AM - 11:00 AM
How an AI-Driven Big Data Platform for Buildings is bringing 3rd party sensors and IoT devices together to help a high-end specialty manufacturer eliminate problems and improve profitability by making its building and assets "just right" for its products and its people. People now spend more than 90% of their lives inside buildings. As a result, there is growing focus on not simply on the physical health and safety of building occupants, but the comfort, security and productivity as well. Innovative technology is leading us to new levels of success. Today there are abundant data available for assets and buildings, from design and construction information, live sensors and systems, environment details, financial figures, and data from people, like work orders and occupant comments. However, without the proper intelligence applied to this data, the findings become lost as noise, and the assets, buildings and even people remain uninformed about the reality of their performance. Through this case study, the baseline is established for better asset management. Skylight, an AI-backed and machine learning enabled platform, not only collects the massive, scattered and complex data available today and created by everything that impact buildings and structures it into a single source, but is ready for what's next by constantly expanding functionality through third party developers via additional sensors and IoT devices, analytics tools and new apps. This use case is an example that delivers new insights, efficiencies and opportunities to improve a property's performance through asset optimization, enhanced employee productivity, and even risk compliance. By understanding performance through multiple sources of data and using that information to recognize patterns and make recommendations for improvement, this is one instance with wide real world application and value. Building investors, owners, operators, service providers, and tenants already tap the Skylight platform with a growing variety of apps from across the building spectrum including facilities and asset management, tenant feedback, site assessment, building performance scoring and building health records. Additionally, Skylight's functionality is continuously extended by Skylight users leverage the platform to maximize place experience, lower operational costs, increase asset longevity and performance, and enhance property value.


David Morse

Site 1001

BIM and IoT Integration: The Digital Twin of our Office Building

11:00 AM - 11:15 AM
We are an architectural firm in Oslo that wants to save the planet. Or at least use the technology available to take our share of responsibility in the circular economy. We got to the conclusion that the only way to design the next generation of buildings and cities is to commit to follow the performance of the entire building life cycle. One way to do that is to take the valuable BIM information that is created mostly for construction proposes and re-use it to monitor the sustainability goals of the project during the design and execution phases. Then, once the project is delivered and in use, we add dynamic sensor data to evaluate and optimize the impact of the design decisions we made earlier. But this is easier said than done. To convince our clients to change their way of working we had to prove that the technology was ready, and we had to show them the value chain of the data generated from digital twins. So, we decided to become our own guinea pig and make of our own office a Smart building LAB. We collaborated with several Norwegian start-up companies to integrate BIM models with IoT and use the findings to optimize the way we use our facilities. We are measuring occupancy, temperature, air quality and we get feedback from our colleagues about how much they are enjoying every space. We also share the BIM data in a multi-user VR platform where discuss the issues and proposals, and then we save the communication back to the model using BCF reports. This research and pilot project have helped to advance the agenda of those like me who believe on the benefits of data driven decision making. Architects, city planners, contractors and building owners can largely influence the future of our society when we understand that every building is a living organism that needs to be understood and manage in a dynamic and constant way. We will share with you the process behind the technical deployment of our digital twin, including all failures and successes. Also, the challenges of learning how to read and use quantitative and qualitative information from the digital twin and the end users and finally the improvements that were implemented as a result of the pilot project. Finally, we will go through the potential we discover and the possibilities of Smart Building as a service and its applications to The Smart Cities ambition.


Angie Mendez

A-lab Architects

Using IoT to Validate Collaborative Design

11:15 AM - 11:30 AM
This presentation will describe our findings from a study of a collaborative office building on a medical campus. Our study aimed to measure how well the building met established project goals through the use of multiple post-occupancy evaluation methods. In the study we used several methods of measurement to capture both qualitative and quantitative data about the building. Primarily Flad and the client wanted to know how the collaborative spaces in the building were being utilized. We approached this challenge by using sensor technology which captured the Bluetooth signals from smart devices such as computers, phones, fitness trackers, smart watches, etc. By correlating the data of when conference rooms were scheduled and when the rooms were detected as being occupied, we could validate that meetings were truly being attended or if rooms were being used and not scheduled in the calendar system. Additionally, the sensor technology allowed us to track unscheduled spaces in the building such as huddle rooms, as well as locations where ad-hoc meetings and collaboration could be taking place. This was in part to verify the guiding design principles of creating a collaborative facility. We also used direct observations to visually understand how collaborative spaces were being utilized, including unique features being used and the nature of the collaborations. To supplement the space utilization methods, an electronic survey was also distributed to building occupants to further understand their perspectives of the facility design. Flad primarily uses PowerBI as an analytic tool to further analyze the data collected during the post-occupancy evaluation process. Doing these types of studies also helps to inform how to enhance future facility designs based on our findings and fosters a high level of engagement with clients by hearing directly from building occupants. In doing these studies we (Flad) learned a lot about potential issues with our chosen sensor technology, such as over and under counting, RF interference and signal strength, and how to layer additional forms of observation on top of the sensors. We'd like to share our lessons learned with the broader AEC industry as post-occupancy evaluation technology is part of the increasingly hyper-connected world we live in.


Eric Schappe

Flad Architects

Audience Q & A Panel Discussion

11:30 AM - 12:00 AM


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