Remodelers and contractors are being asked to go green more and more these days. Helping them determine how green their work is can often be a “by guess and by golly” approach. Now, technology is coming to the rescue by offering a way to understand the true scale and impact of the carbon emissions they generated for indoor thermal comfort.
Motili, a real-estate technology company, is making available its Carbon Calculator, a tool created to provide the industry with the ability to calculate carbon emissions associated with HVAC operations. Commercial and multi-family building owners and operators now have access to information that will help them determine how green their systems really are. With the Carbon Calculator, clients can identify problem properties and inefficient HVAC (heating ventilating, and air conditioning) units that are making the largest environmental impact.
The calculator can evaluate carbon impact by noting the “grid mix” of each city in which an HVAC fleet is located and gives each city a score in relation to the emissions that their grid produces. This number is used to measure the exact impact an HVAC system produces based on its location.
The Carbon Calculator allows the user to see five separate statistics: the energy cost savings per unit and for all units combined over the span of 10 years, the percentage of decrease in energy use, the kilograms of carbon equivalent emissions that can be saved per year, and gallons of gas emissions equivalent. Oh, and the weight of the carbon savings in… elephants? Motili also uses the visual of elephants to drive home the point of carbon emission and reduction. The connection to a visual descriptor such as elephants or jumbo jets provides tangible examples to otherwise abstract statistics, helping Motili clients connect to a story and the level of their impact, rather than a statistic.
The company also announced its MACI (Motili Asset Condition Index) data tool which allows Motili to utilize information about clients’ HVAC assets (age, condition, SEER rating, and refrigerant type) to create a strategic plan to revamp HVAC systems over a period of time. Its predictive analytics improves budgeting accuracy by predicting project equipment failures before they happen.
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