Topic:"Building Efficiency" in M11630

Program Components • The Affordable Multi-family Housing and Non-Profit Organizations program component assists nonprofit organizations (e.g., shelters, transition houses, community hubs etc.) and affordable housing Date Filed: April 1, 20...

AI summary The Program Components section outlines various initiatives by Efficiency Nova Scotia (E1) to promote energy efficiency. These include financial incentives for retrofits in multi-family housing, free product installations, heating system upgrades, home energy assessments, and targeted programs for low-income households and Mi'kmaw communities. A new residential behavior program aims to encourage energy-conscious habits using AMI data.

Building Optimization - Technical and financial support to help organizations conduct an investigation study with the objective of improving building operational efficiency - Technical and financial support for the implementation of no-cos...

AI summary The Building Optimization program provides technical and financial support for investigating and implementing no-cost or low-cost energy efficiency measures in eligible facilities. Eligibility requires the facility to have a building automation system, not have been commissioned in the past two years, and consume at least 350,000 kWh annually.

6.2.1 Project Review Findings All six completed Building Optimization projects were reviewed by the Evaluator. As a result of the review process, the Evaluator adjusted the energy savings of two projects and the demand savings of all six p...

AI summary The Evaluator reviewed six completed Building Optimization projects and adjusted energy and demand savings based on findings. One project had a minor upward adjustment, another had a 50% reduction in energy savings due to an incorrect baseline assumption, and all six projects had demand savings recalculated. No average adjustment ratio was used, and total savings were calculated by summing individual project results.

99. Refused B9. [I[F C7](#page-114-0) = 2] Without the incentive from Efficiency Nova Scotia or the expertise provided by the energy modeler, what is the likelihood that you would have designed a building with a building envelope as effici...

AI summary The question asks about the likelihood of designing a building with a highly efficient building envelope without incentives or expertise from Efficiency Nova Scotia and an energy modeler, using a scale from 0 to 10. The response is listed as 'Don't know'.

2 Envelope Review - Check envelope resistance value (wall/fenestration/roof/etc.) and validate with shop drawings and construction details. Make sure that effective R/RSI – U/USI values are used in the simulation. - Pay particular attentio...

AI summary The text outlines steps for reviewing building envelope details, including checking insulation values, validating curtain wall performance, verifying fenestration-to-wall ratios, and ensuring compliance with code specifications.

3 Parametrization and Zoning - For buildings with a repetitive storey pattern, if the "Copy" function is used, the modeller often forgets to check the "Over conditioned space" option, which may create an "exterior floor". - Verify the zoni...

AI summary The text discusses issues related to parametrization and zoning in building modeling, highlighting the need to verify zoning and the potential for errors when using the 'Copy' function without checking the 'Over conditioned space' option.

(8) Window Film Kits

AI summary The section titled '(8) Window Film Kits' introduces a topic related to energy efficiency, focusing on the use of window film kits as a potential measure for improving building efficiency and reducing energy consumption.

(6) Occupancy/Motion Sensors

AI summary This section of the document discusses the topic of occupancy/motion sensors, likely in the context of energy efficiency programs or building regulations. It may explore their role in reducing energy consumption, compliance with standards, or integration into broader efficiency initiatives.

3.2.3 Pump Measures

AI summary This section discusses Pump Measures, which are part of the Smart Building Efficiency Service (SBES). It outlines strategies and initiatives aimed at improving energy efficiency through the optimization of pumping systems in buildings.

3.3.3 Space Heating Measures

AI summary This section discusses space heating measures, focusing on initiatives and programs aimed at improving energy efficiency in residential and commercial buildings through technologies such as heat pumps and building retrofits.

(2) Advanced Rooftop Unit Controls

AI summary The section titled '(2) Advanced Rooftop Unit Controls' introduces a topic related to the control and management of rooftop units, likely in the context of energy efficiency or building systems.

Table 151: Advanced RTU Control Measure Summary Parameter BER-AR Reference Measure Description and Identification Measure Description Advanced RTU controls that include demand-controlled ventilation (DCV) and an optional variable frequency...

AI summary Table 151 outlines the Advanced RTU Control Measure Summary, including parameters such as installation rate, effective useful life, and energy savings calculations based on specification data for each installed system.

[Table](#page-102-1) 156 summarizes the interactive effects factors established for each water heating measure.

AI summary The text references a table that summarizes interactive effects factors established for each water heating measure, indicating a focus on technical analysis related to energy efficiency and building performance.

3.4.3 Water Heating Measures

AI summary This section discusses water heating measures under the Smart Building Efficiency Service (SBES) and Building Energy Retrofit (BER) programs, focusing on their role in improving energy efficiency and reducing consumption.

Table 161: Average Showerhead Usage Building Type Annual Minutes per Showerhead (SHtime) Weight Source Hospitality 3,509 86% Health 2,528 0% Annual minutes per showerhead: Iowa Energy Education 2,057 0% Efficiency TRM – 2021 Commercial - E...

AI summary Table 161 presents average showerhead usage across different building types, with weighted averages and sources. It highlights significant variations, such as high usage in fitness centers. Table 162 follows with installation rates for SBES low-flow showerheads.

(5) Hot Water Tank Wrap

AI summary This section discusses the Hot Water Tank Wrap, a program or initiative related to energy efficiency and building retrofits. It may involve energy-saving measures or incentives for residential or commercial buildings.

(1) Compressed Air Leak Repair

AI summary The section discusses Compressed Air Leak Repair, a topic related to energy efficiency and building performance. It is likely part of a broader discussion on building efficiency programs and energy conservation initiatives.

tion, air compression, air compression leak detection, efficient motors, HVAC, and process equipment. Some building envelope measures were also included but provided only limited (2%) tracked savings. The Pay-for-Performance program, added...

AI summary The BNI Custom Incentives Program includes Pay-for-Performance, New Construction, and Building Optimization components. Pay-for-Performance, expanded in 2022, offers incentives tied to peak demand savings, with 22 new participants in 2023 but delayed savings until 2024/2025. New Construction saw 15 completed projects in 2023, down from 2022, due to rising costs and labor shortages. Building Optimization completed 5 single-year projects and 1 multi-year project, focusing on energy efficiency improvements.

g Concepts & Methods , Second Edition, Liburn Georgia: The Fairmont Press, 1992. Gellings, Clark W. & John H. Chamberlin, Demand-Side Management Planning , Liburn, Georgia: The Fairmont Press, 1993. Hargrave, Marshall, "What is Kaizen?" In...

AI summary The document lists references to energy efficiency and demand-side management literature, including works by Gellings, Chamberlin, Hoffman, and others, as well as reports from the International Energy Agency and the National Renewable Energy Laboratory.