Topic:"Distribution Planning" in M06733

Participant Type Total Loads per Week Cold Water Loads per Week Proportion of Loads Done in Warm Water Regular RDI Participants 4.42 3.53 20% CBSM Pilot Participants 4.62 4.27 8% Average 4.49 Table 29: Average Number of Laundry Loads per W...

AI summary The table provides data on the average number of laundry loads per week for regular RDI participants and CBSM pilot participants, including cold water loads and the proportion of loads done in warm water.

F1. What is the main activity of your company? Principal Building Activity 2012 2014 Sample Size 56 27 Farming/Agriculture 23% 22% Food service (restaurant) 4% 22% Manufacturing 4% 7% Property management 13% 7% Lodging 4% 7% Service 7% 4%...

AI summary The table presents the principal building activities of companies in 2012 and 2014, showing changes in percentages across various sectors such as farming, manufacturing, and retail.

On-Site Visit Protocol 1. General Information Site Visit Date: Project ID: Project Type: Company Name: Address: Contact Name: Contact Title: Contact Phone: Email: List of people met during the visit: Type of building: Municipal Commercial/...

AI summary The document outlines a protocol for on-site visits, including sections for general information, key project variables, and facility operation schedules. It provides a structured format for collecting data about the site visit, including details about the facility, its operation, and occupancy schedules.

Facility Daily Schedule: Fill the table below for each occupancy schedule reported by the site contact as occupancy could vary for each section of the facility. Use additional sheets if necessary. Schedules Monday Tuesday Wednesday Thursda...

AI summary The document provides templates for filling out facility daily schedules and building heating/cooling system descriptions. It includes tables for occupancy schedules and heating/cooling system details, such as energy sources, system types, capacities, and efficiency metrics.

Table 43: External Power Supplies Market Size for Canada and Nova Scotia, 2014 59 External Power Supplies Class Shipments to Canada in 2014 Shipments to Nova Scotia 2014 Less than 1 W 2,987,943 75,812 1 to 5 W 34,672,735 961,215 5 to 10 W...

AI summary Table 43 presents the market size of external power supplies in Canada and Nova Scotia in 2014, categorized by power class. The data shows the number of units shipped to each region across various power ranges, with total shipments for Canada and Nova Scotia provided.

Deltas Comparison of 8760 Resource Savings Profile Between Initial and Final 8760 Models (kW/ Annual kWh Savings) Unnamed: 1 Unnamed: 2 Unnamed: 3 Unnamed: 4 Comparison of 8760 Resource Savings Profile Between Initial and Final 8760 Models...

AI summary The text presents a table comparing resource savings profiles between initial and final 8760 models, showing minute differences in kW and annual kWh savings across various timestamps. The data highlights small variations in energy savings over time.

NON-CONFIDENTIAL 1 2 Projects that are known to have been cancelled or delayed due to insufficient load growth 3 include one transmission project and one distribution project. George Street (CI45306) 4 substation was deferred due to delaye...

AI summary The text discusses two projects that were delayed or cancelled due to insufficient load growth: the George Street substation and the Load Transfer project. The deferral of the Harbour East substation was attributed to industrial load loss instead of insufficient load growth.

1 Request IR-5: 2 3 Please explain the methodology NSPI would use to determine avoided distribution and 4 avoided transmission costs associated with DSM programs. 5 6 Response IR-5: 7 8 To estimate avoided T&D costs of DSM programming, NS...

AI summary NSPI explains that to determine avoided distribution and transmission costs from DSM programs, it would need information on peak demand reduction and other load modifications, such as customer self-generation and weather adjustments. It would then net these factors from observed peak load data to estimate DSM program contributions and assess avoided costs.