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Program Preview: Haystack Connect 2023

Haystack Connect 2023 is just a few short weeks away. Here are just some of the exciting presentations you can expect to see at this year's event.

Track 1 – Haystack in Practice: The End-User Perspective & Real-World Applications

Transforming Building Operations - Jessica Granderson, Lawrence Berkeley National Laboratory

Building fault detection and diagnostics technologies (FDD) are already saving owners millions of dollars per year in their buildings, with less than two-year paybacks. Berkeley Lab has joined forces with members of the Haystack community and FDD industry to newly integrate control capability with analytics, moving beyond FDD into automated fault correction and control optimization. This presentation will share the developed solutions, results from their use in diverse field applications, and their open-source Haxall dissemination. The presentation will also discuss the extensions of the work to automated functional testing and demand flexibility, and available technical assistance to transfer these methods industry technology and service providers, concluding with observations on the role of advanced analytics and controls in scaling building decarbonization, and semantic modeling as a key enabler.

Using Haystack API as the Pathway to Improve Smarter Buildings - Jamie Lee, Siemens SI

Getting to “smarter” buildings can sometimes be a very labor-intensive and complex process. Learn about the Haystack API, its benefits, and how it can shape the future of data sharing for our building automation systems and connected equipment. This presentation will investigate bringing Haystack API down to the equipment level where Haystack tagging standards would be implemented in building core level and progress outward to the cloud for smart buildings at inception. It will also cover the requirements needed at the equipment and field device level, the progression of the data, and the overall big picture for the future of improved smart building technology.

Current State of What PD is Seeing Around the Adoption of Tagging and How Owners and Operators Can Help to Drive Its Application - Aaron Brondum, Prescriptive Data

Nantum OS by Prescriptive Data uses artificial intelligence to automate building systems with real-time occupancy data, utilizing the least amount of energy to provide the maximum amount of indoor comfort. Integrating meter data allows Nantum to calculate energy, cost, and carbon emissions reduction. Integrating existing systems can be challenging even in 2023. We are still seeing BACnet systems installed with generic controller names and points labeled as AO:1 or BO:1. Learn about the current state of what PD is seeing around the adoption of tagging and how owners and operators can help to drive its application.

Specifying Haystack for City Planning – A Success Story - Jeremy Wolfe, J2 Innovations

Internationally, the city of Toronto, Canada has a master spec for tagging and data modeling for all current & future projects. This presentation will walk through how the master system integrator presented a value of the open specification, resulting in a business case for future projects.

Managing an IoT System, Haystack Compliance and Efficient Data Retention - Paul Grinberg, Daikin Applied

Data Applications are most efficient when performed against properly contextualized data that is efficiently stored. This is often not possible without modifying the data for storage. We will present an alternative "Separation of Concerns" approach which utilizes definitions of equipment and points to specify the context and references necessary data values while preserving the original format.

Track 2 – The Technical Track

Open Source update: Haystack Core, Haystack Lib, RDF - Gareth Johnson, J2 Innovations

This presentation will provide an update on Haystack Core, an open-source software library written in TypeScript and created to enable more sophisticated applications to be built with ease and at speed. In addition, hear insights on upcoming support on Haystack support for RDF (Research Description Framework).

Introducing the Grafana Haystack Plugin - Jay Herron, PassiveLogic

While the Haystack ecosystem has grown with client implementations in many languages, limited free options exist for off-the-shelf visualization of Haystack data, which limits adoption. Good open-source data visualization tools exist and are widely used in the technology and IOT industries, but support for Haystack data is typically limited due to authentication requirements.The Grafana Haystack Plugin lowers the bar for visualizing Haystack data. By simply pointing it at a Haystack API, the plugin enables users to create rich, detailed dashboards, interactive selectors, and automated alerts, all with a well-documented point-and-click interface. Combining this visualization layer with the Haxall data storage and management system provides a free, open-source Project Haystack stack.

Open-source Tool for Haystack Model Validation and Harmonization with RDF-based Schemas - Avijit Saha, National Renewable Energy Laboratory

The need for standardizing validation of Haystack models and their interaction with RDF-based models have been echoed by the stakeholder community for some time. This presentation will focus on a DOE-funded and NREL-developed open-source tool named BuildingMOTIF, which allows transitions between the Xeto evolution of Haystack models and RDF-based models like Brick Schema, RealEstateCore, and the upcoming ASHRAE 223 standard. The tool facilitates harmonization between these different schemas, enables delivery of validated cross-schema building metadata models, and helps to automate the model authoring process.

Introducing Systems from Haystack Labs - Michael Melilio, Albireo Energy

For over a decade, Haystack has modeled the world into a fairly consistent hierarchy: Site/Equip/Point. Over the years, other additions like Space have been worked into the middle, and conversations about top-side entities like Region or Portfolio, but largely we look at the world the same way. In the past year, the Haystack Labs working group has ironed out the foundation for another lens to put on all of the data we connect to: Systems. Systems offer an additional way to organize data without replacing the SEP model. This presentation will give a brief overview of the docs and defs introduced by systems, how it should serve as an extensible piece for other working groups to incorporate, and then open up for conversation/questions.

Progress Update from the EV Charging Working Group (#982) - Stephen Frank, National Renewable Energy Laboratory

In Summer 2022 the EV charging working group was formed to define the equip, points, relationships, and operational data related to Level 1-2 (AC) and Level 3 (DC) Electric Vehicle Supply Equipment (EVSE). The group developed formal EVSE-related equipment definitions, which were merged into the Project Haystack documentation in November 2022. More recently the group has also been working to expand and improve Haystack definitions related to electrical equipment and circuits. This initiative is important both for EV charging-related applications and to improve Project Haystack’s appeal to other industry verticals such as data centers, commercial building electrification, and more. In this presentation we will share the working group’s motivation, progress, and near-term objectives.

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