Topic/Matter Intersection

Topic:"Distribution Planning" in M08604

Matter: E-ENS-R-18 - EfficiencyOne - 2019 Demand Side Management (DSM) Plan Application, 2017 Annual Progress Report  and 2017 Evaluation Reports
15 passages 4 documents

Distribution Planning across all matters →

E-22017 DSM Evaluation Reports 10 passages
Section 1450
0.300 0.280 Giant Estimated from Frost Thermal Conductivity of the Layer k 0.042 0.042 King Insulation Blanket [W/m·°C] specification Thermal Resistance of a Layer of Material inside the Cylinder (e.g., Rlayer 1.821 1.967 Calculation insul...

AI summary The text presents technical data related to thermal conductivity and resistance of insulation materials used in a cylindrical tank, including values for thermal conductivity (k), thermal resistance (Rlayer and RTop), length (L), area (Atop), and external temperature (Te). The data is sourced from Giant Inc.'s engineering submittal data sheet.

Section 1483
ations in other metering studies, notably by the Pennsylvania Public Utilities Commission’s 2014 metering study and the Northeast study. The new “Other” category included 50 lamps after data cleaning. Because of the low number of lamps in...

AI summary The document discusses the data-cleaning process in a residential lighting metering study, noting that 82.5% of the initially metered lamps were retained. It references studies by the Pennsylvania Public Utilities Commission and the Northeast study, and considers the categorization of lamps, including the 'Other' category and the exclusion of the 'Closets' category due to differences in HOU values.

Section 1484
red Lamps After Data-cleaning The following table summarizes the data-cleaning process completed. Overall, the data of 82.5 percent of the initially metered lamps was retained after careful analysis.

AI summary The data-cleaning process retained 82.5 percent of the initially metered lamps after analysis, indicating a significant portion of the data was usable.

Section 1485
Table 5: Summary of Remaining Lamps after Data-cleaning Number of Lamps Widely Different Number of Retrieval Corrupted Extremely Extremely Room Type where Data Collection from Estimated Remaining Problems Data Low HOU High HOU Devices were...

AI summary The table summarizes the number of lamps remaining after data-cleaning, broken down by room type. It includes details on data retrieval problems, corrupted data, and lamps with extremely low or high hours of use (HOU).

Section 1493
was close to 0, indicating that the data was representative of what occurs at the equinox. As explained in Subsection 3.1.1, in theory, the lamp usage at the equinox corresponds to the annual average. Table 7: Average sin(ϴ) Values for Lam...

AI summary The text discusses the average sin(ϴ) values for lamps in various room types during a metering period, noting that the data was representative of conditions at the equinox. It also references the calculation of HOU (Hours of Use) per lamp using a specific equation.

Section 1496
weight attributed to each room type. Table 8: Weight Assigned to Room Types Room Type Number of Sockets Room Type Weight Basement 371 12% Kitchen 375 12% Living Room/TV Room/Play Room 389 13% Bathroom 388 13% Hallway/Staircase 317 10% Bedr...

AI summary The document assigns weights to different room types based on the number of sockets, with Bedroom having the highest weight at 20%. It also establishes an overall HOU value of 2.48 hours per day for all room types combined, with variations in HOU values presented in a table.

Section 1686
2016 2017 Heating System Typically Installed – Non-participant Builders Installation Installation Installed Installed Rate Rate 19 18 19 19 Sample Size (#) (Average ) (#) (Average ) Other combustion equipment (for example oil or 1 1 50% 10...

AI summary The data table shows the distribution of heating systems installed by non-participant builders in 2016 and 2017, highlighting the prevalence of electric baseboards, mini-split heat pumps, and central ducted heat pumps, along with installation rates and sample sizes.

Section 1972
Principal Building Activity 2015 2016 2017 Sample Size 74 70 70 Farming/Agriculture 9% 6% 13% Property management/Real estate - 4% 11% Mercantile/Retail (other than mall) 11% 11% 10% Lodging 4% 9% 10% Construction - 7% 9% Manufacturing 7%...

AI summary The document presents data on principal building activities across various sectors from 2015 to 2017, showing changes in percentages for each category over the years. It highlights shifts in activity distribution, with notable increases in some sectors and decreases in others.

Section 2328
n the top end. ⁄ 1000 ŋ Table 4: Revised Tank Insulation Variables Revised Variable Unit Value Tank Radius m 1.041 Tank Height m 2.921 Thermal Conductivity of W/mK 0.33 LLPDE Rbase (RSI of LLPDE 1/2") m²K/W 0.0385 Rinsul (RSI of mineral fi...

AI summary The text presents a table with revised variables for tank insulation, including dimensions, thermal conductivity, energy savings, and demand savings. The table includes values for tank radius, height, ambient and tank temperatures, and other parameters related to insulation efficiency.

Section 2633
2009, December 2012, available at (Last accessed January 15, 2018). 42 Based on a construction cost of $1,500 per square meter. Codes and Standards 19 Codes and Standards Efficiency Nova Scotia 2017 DSM Evaluation Report Table 18: Estimate...

AI summary The document discusses estimated floor areas in the commercial and industrial sectors, including data on permits and the number of buildings. It also outlines the evaluation of unitary savings values for different building types, such as houses, small buildings, and large buildings.

E-4EfficienyOne Application 1 passage
Section 608
50% 40% 36 Custom 40% 30% 37 30% Small Business 38 20% 20% 39 10% 10% 40 0

AI summary The text presents a visual representation of percentages, likely related to distribution or allocation of resources, with categories such as 'Custom' and 'Small Business' indicated. The exact context or purpose of the percentages is not explicitly stated.

E-4-(i)2019 Plan RBIA Model - Excel Spreadsheet (Electonic Filing Only) 1 passage
Attribution
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AI summary The table presents data related to Medium Industrial energy usage, showing increasing values over time, likely representing consumption or cost trends. The data spans multiple years and includes numerical values, though the exact context (e.g., cost, usage) is not explicitly stated.

E-9E1 (SBA) RIRs to IR-1 to IR-21 3 passages
Section 310
NUMBER OF LIGHTING EQUIPMENT FAMILIARITY WITH AWARE OF ENS NSPI REGION NSPI RATE CODE NUMBER OF FTEs LOCATION STATUS OVERALL LOCATIONS INSTALLED? ENSC PROGRAMS? Central Eastern Western 10 11 21 1-5 6+ 1 2+ Yes No Familiar Not familiar Own...

AI summary The text presents a table with data on the number of lighting equipment, familiarity with ENS, and program participation across different regions and utility types in Nova Scotia. It includes metrics such as FTEs, location status, and awareness of energy efficiency programs.

Section 314
NUMBER OF LIGHTING EQUIPMENT FAMILIARITY WITH AWARE OF ENS NSPI REGION NSPI RATE CODE NUMBER OF FTEs LOCATION STATUS OVERALL LOCATIONS INSTALLED? ENSC PROGRAMS? Central Eastern Western 10 11 21 1-5 6+ 1 2+ Yes No Familiar Not familiar Own...

AI summary The text presents a table summarizing data on the number of lighting equipment, familiarity with ENS, and awareness of programs across different regions and locations in Nova Scotia. It includes statistics on payment responsibilities and weighted sample sizes.

Section 331
NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The document presents data on energy use, locations, and participation in energy efficiency programs across different regions in Nova Scotia. It includes metrics such as the number of locations, FTEs, and percentages of budgets spent on energy.

Disclaimer: These summaries were generated by AI from the filings they describe. We take care to make them accurate, but errors are possible - and they aren't advice. Only the filings themselves are the record: if you're relying on something here, confirm it against the source documents or the Nova Scotia Energy Board's own record. Full disclaimer →