Overview

  Background

  Purpose

  Aims

  Committee 

  Membership



 Overview

Over recent years there have been a lot of questions and issues raised about Big Data and Analytics, particularly in relation to how we proactively control and optimise building HVAC&R systems. There is also a considerable amount of research and work happening in isolation around both this country and overseas.

AIRAH has created a new Special Technical Group on Big Data  Analytics to bring together professionals to better understand issues, identify what needs to be done and collaborate on combined efforts focused on moving the industry forward.

 

 Background

Big Data within the HVAC world is the collection of information from all building systems and external data used within them. The most common "Big Data" is building management system (BMS) information. This has been around for many years, and historically been used only to validate temperature complaints or system operation over the previous week. This is now changing with the introduction of analytics. By using analytics it is now possible to track and trend historical patterns to help diagnose faults or equipment deterioration. By using this once untouched "Big Data", the way buildings are managed and maintained is changing.
 


 Purpose

The purpose of this AIRAH Big Data and Analytics Special Technical Group is to provide members with a platform for involvement in issues that affect their industry, including: policy advice; regulation development; plus the development of, and access to, industry-leading advice. This platform will promote a whole-of-supply-chain integrated view on issues related to the activities of the group and AIRAH, along with best-practice delivery in the Australian and international community
 
 

 

 Aims

The Committee aims to provide:

  • Stakeholder education: Demand for multi-stakeholder involvement and engagement from the sustainability team and the facilities managers through to the executive team. In a practical sense, someone needs to interpret the reports/alerts/emails that these systems produce and at the moment, and there is a gap between technological capability of systems (high) and implementation/capability of site facilities teams (low). It is envisaged that in the longer term there will be more dedicated roles for site teams to interpret the types of data produced by analytics systems, however industry can play a role here to educate companies on this need.
  • Equipment-level energy visibility: Nearly all building owners lack equipment level visibility, which will change with the introduction of the loT and connected devices. This will be a learning curve for industry stakeholders, like maintenance managers who will need guidance on how to utilize these complex systems in order to derive maximum value from their investment.
  • Maintenance models: traditional maintenance models based on AIRAH's DA19, for example, are based on a lack of equipment level visibility. These models are currently undergoing change and as such the prescriptive industry guides that promote them need to adapt. There is a role for industry here in a practical sense through updating industry best practice guides on maintenance, and typical costs of this newer approach to help guide building owners.
  • Breadth of data: Ever-increasing enterprise data types that must be captured and managed, ranging from paper and waste, to travel and commuting practices; this will soon involve more loT data types. Many data types were simply not present until recently.
  • Industry-specific metrics: Requirement to align results with industry-specific metrics including occupancy head count and floor area. Industry can play a large role here by publishing benchmarks or similar to help guide large portfolio owners
  • More complex energy systems: The popularity of on-site energy generation assets and other complex energy systems, and the need to manage the complex data flows and the calculation of custom emissions factors these require.
  • Tertiary-level education: In many cases syllabuses haven't caught up with the speed of adoption of many HVAC analytics packages. There is a lack of awareness regarding Big Data and analytics with respect to tertiary level education in the HVAC engineering space. There is a role for industry to play here to help bridge this gap.
  • Be a reference point for government in shaping relevant policy relating to the environmental, economic and social impact of HVAC&R and related systems.
  • Make submissions on behalf of members to influence policy setting, as collectively agreed by members, and work with government at all levels to establish workable regulations, frameworks and guidelines.
  • Identify and seek external funding for collaborative projects that support the objectives and aims of AIRAH and its members.
  • Provide guidance to the HVAC&R industry to develop a considered, integrated and technically objective approach to Big Data and analytics.
  • Create special interest groups led by industry knowledge champions to help further the interests of the committee, AIRAH and its members (where needed).

To formalise and track progress toward these aims, the committee will establish a rolling list of projects/outcomes to be accomplished for the calendar year. The list will be updated yearly with interim reviews as appropriate.



 Committee


  • Paul Jackson, M.AIRAH - Chair
  • Laurie Reeves, F.AIRAH – Co-Chair
  • Chris Stamatis, Affil.AIRAH
  • Cara Ryan, M.AIRAH
  • Ken Thomson, M.AIRAH
  • Chris King, M.AIRAH
  • Jonathan Clarke, M.AIRAH
  • Zhenjun Ma, M.AIRAH
  • Leon Wurfel, Affil.AIRAH
  • Craig Roussac, M.AIRAH
  • Josh Wall, M.AIRAH
  • David Walsh



 Membership

Membership is open to any financial AIRAH member. If you are interested in being involved please email STGS@airah.org.au or call 03 8623 3000.