This session will cover a range of specific issues related to the ASHRAE 62.2 Standard.
Tuesday, February 13, 2018
1:30 PM to 3:00 PM
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As a business owner, you wear many hats throughout the day and don't often have a lot of time for sales. Yet, attaining new business while retaining and growing existing clients is the lifeblood of every business.
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3:30 PM to 5:00 PM
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Air Sealing is one of the most important measures we can provide to our customers---if we work effectively and efficiently.
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10:30 AM to 12:00 PM
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Working with heating systems in homes of low to moderate income occupants can introduce different considerations than working in market-rate populations.
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This session will provide an overview of NYSERDA-funded Air Source Heat Pump demonstration projects and results to date, including:
Demonstration of ASHP replacements in Brooklyn and Queens
Demonstration of ASHP systems in the Hudson ValleyPresenters:
Wednesday, February 14, 2018
8:30 AM to 10:00 AM
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Recent advances in air-to-water heat pumps make them suitable for cold climates - like upstate NY. Unlike ductless mini-splits, air-to-water heat pumps offer the versatility of hydronics for space heating, cooling, domestic water heating, and even ancillary loads such a pool heating.
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This session will describe the procedures for diagnosing and correcting insulation, radiant warming, and air leakage problems in attics and cathedral roof slopes. An overview of the related ventilation issues is included.
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In HPC tradition, Peter Troast, Energy Circle's founder and CEO, shares the deep dataset he and his team have developed. This is data not dogma for the demand side of home performance. What can be gleaned from Google Adwords performance from hundreds of contractors?
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10:30 AM to 12:00 PM
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ASHRAE Standard 62.2 continues to evolve. The 2016 edition has been published and there are significant changes. WAP and other program personnel need to understand what has changed, how it impacts them, and what they need to prepare for next.
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1:30 PM to 3:00 PM
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Energy models can be essential to our work in home performance, but they have also gotten a bad rap. Many energy models over-estimate savings, sometimes by a large margin; what's going wrong? Is it the software, the user, or something else entirely?
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