Main Street Landing’s Lake and College building on the Burlington waterfront houses important and community-loved businesses including Seventh Generation, Skinny Pancake, and the Peace and Justice center as well as a performing arts center and community gathering spaces. Main Street Landing (MSL) is a property owner member of the Burlington 2030 District, members of which aim to decrease their buildings’ energy, water, and transportation related emissions by 50% compared to the district baseline by the year 2030. MSL takes their membership seriously, fully committing to implementing changes year after year to work towards these goals.
3 min read
11 min read
Over the course of my career I have evaluated BAS graphics packages as a function of my daily 9 – 5. I have been doing this since 2002 and in those days, most BAS manufacturers barely had functioning websites. However, the products they sold allowed their vendor networks to create Human Machine Interfaces (HMI) and Graphical User Interfaces (GUI), and these interfaces haven’t really functionally changed a whole lot since those days of pre-broadband internet and before the smartphone was commonplace. Given that we may be stuck with outdated user interfaces for some time to come, it makes it all the more important that proper care is given to how the information is displayed and to ensure users can easily absorb the information they need from the BAS.
4 min read
With a new year and a new decade upon us, the popular trend is to create new resolutions and goals. Being an active member of the Burlington (Vermont) 2030 District Engineering Team has me thinking about the District’s and the City of Burlington’s goals and progress for energy, water, and transportation emission reductions. This post outlines what the Burlington 2030 District goals are, how these compare to the City of Burlington goals, and the services our team provides to property owners to help reach these goals.
3 min read
Similar to other domains, data from buildings is being generated at an unprecedented pace and scale. However, all of that data is useless if we can’t extract meaning to create value and yield actionable insights. This requires the utilization of protocols or standards to effectively make sense of the data. Project Haystack is one such standard that has been developed over the past several years and allows for the contextual tagging of data in a flexible way, using data from any number of sources.