Last month I had the pleasure of being involved in the 4th Going Green Conference, which took place in Gauteng from 18-20 October. Hosted by the Green Building Design Group in partnership with the Gauteng province, the organisers aimed to “create a more connected platform for all the various actors in government to engage and to recognise that public assets can be used as a test case and lead by example to the wider country objectives on these policy directives.”
What set this event apart from some of the others I’ve attended was the focus on knowledge sharing and creating a platform for the private sector to share their knowledge with the public sector and with final year university design students from both Architectural and Engineering fields. Click here for an insightful synopsis of the event from Songo Didiza, Executive Director at the Green Building Design Group.
IES have a wealth of practical experience and measurable results from analysis of various buildings across the world. There is a global awareness of the power of data, but we need to further exploit this data to improve our buildings in South Africa. With this in mind, the topic I chose from my presentation was: OMG! Operational data + Modelling = Great Savings.
The presentation focussed on the need to evaluate building performance against design intent, and quantify operational gaps in the same level of detail with which we analyse design in simulation software. To do this, we need to consider the feedback loops that can exist within building lifecycle data, and how this should be managed by BIM processes. Designers can benefit from lessons learnt on previous projects, and the O & M team can benefit by an audit trail of the design intent and records of commissioning procedures and tests for the building they are managing.
At present, buildings are often an untapped data asset. By taking the operational data from buildings and using it to calibrate the operational model, we can generate highly accurate calibrated models, which enable owners and FM’s to analyse planned interventions and evaluate their impact with a high degree of accuracy, to assess viability before commencing work.
Let us consider a single data stream from a building. If we view monthly metred data, we have 12 data points, but if we have data measured every 30 minutes by a smart meter, we have 17520 data points! If we then collect data from several streams, the potential for a clear image for comparative analysis increases, especially where this data is logged effectively, clearly named and well managed.
It is estimated that 80% of cost lies beyond the construction team involvement. For any client with a portfolio of real estate, there are real benefits available from data analysis:
- Creation of benchmarks, to identify low or high performers and outliers, indicating a need for further investigation of the building fabric and systems, and its operational strategies.
- Support both better informed design of new buildings, and future strategy for O & M
In my presentation I presented various healthcare examples of where our IES consulting team have assisted with BMS Data Logging and collation on a cloud-based platform, enabling data reviews for:
- BMS analytics, including tracking and monitoring building performance
- Independent performance review through auditing the building against its Key Performance Indicators
- Energy consumption benchmarking Building Simulation was then used to propose suggestions and evaluate their impacts and compliance.
The unique skillset of our consulting team enables our analysis to compare different results and postulate reasons for the differences. For example, we utilised BMS data logging and analytics to evaluate a portfolio of 6 similar healthcare facilities. In reviewing the supply air pressure data for the operating theatres, we identified many opportunities for immediate savings from operational decisions, as shown below.
The technology is available now to deliver projects that incorporate BIM and energy modelling in an integrated design process that extends to building hand-over, commissioning and facilities management. As owners start to demand buildings which operate closer to design predictions, we can start to use operational data to inform dynamic building simulations of improved design and retrofit, and provide enhanced operational models that enable ongoing monitoring of performance and great savings.
If you want to find out how more about how operational data + modelling = great savings, drop me an email and I can provide you with more information about my presentation. I have no doubt that the 5th Going Green Conference will be even better and I look forward to being involved in more knowledge sharing again next year.