E-12027-2031 DSM Plan Application
57 passages
3.2 ENERGY EFFICIENCY: SETTING APPROPRIATE LEVEL OF ENERGY SAVINGS E1 established energy savings levels by balancing IRP guidance, cost‑effectiveness, delivery capacity, and affordability. The Preferred Plan reflects a continuation and evo...
AI summary E1 set energy savings at 0.8% of NS Power's load, balancing affordability, cost-effectiveness, and sector allocation. This aligns with APEX's jurisdictional scan and the 2023-2026 DSM Plan. The Preferred Plan allocates 29%/71% to residential/BNI sectors, with 11% of residential savings directed to low-income programs, consistent with prior targets.
3.2.1 THE ROLE OF THE IRP IN ESTABLISHING THE APPROPRIATE LEVEL OF DSM ENERGY SAVINGS One of the primary planning considerations for the development of the DSM Plan is NS Power's IRP. The IRP represents the most recent, comprehensive, and...
AI summary The IRP is central to the DSM Plan, providing a stakeholder-vetted assessment of optimal resource mix for Nova Scotia's electricity needs. NS Power's 2022 IRP incorporates updated policies like GHG targets and renewable goals, with DSM energy savings levels serving as a benchmark. Key themes include decarbonization, renewables, and electrification.
3.5 STRATEGIC ELECTRIFICATION Strategic electrification was added to E1's mandate by way of an update to section79A(b)(iv) of the PUA in 2022, as outlined in section [2.1.1](#page-8-3) above. The NSEB, in its decision on E1's BCA clarified...
AI summary Strategic electrification was added to E1's mandate via a 2022 PUA update. The NSEB requires strategic electrification to reduce both GHG emissions and electricity costs. E1 supports its inclusion in the 2027–2031 DSM Plan if it meets these criteria, though the Clean Power Plan lacks cost assumptions for guidance. The 2022 Evergreen IRP includes electrification scenarios but not optimal savings levels.
DSM is a long-term investment with lasting benefits and considerable lifetime savings, yet the Preferred Plan also contributes to short-term and immediate ratepayer benefits. In the short-term, the Preferred Plan will achieve 435.4 GWh of...
AI summary The Preferred Plan for DSM is highlighted as a long-term investment with immediate and lasting benefits. It will achieve significant energy savings and cost avoidance, with the investment being fully recouped by 2032. The payback analysis shows that the plan is in the best interests of ratepayers due to lower current investment costs and inflation mitigation.
5.2 PROGRAM DELIVERY COSTS The Preferred Plan gives due consideration to program delivery costs. E1 has heard some concerns from stakeholders that program delivery costs have increased unreasonably since the last plan. However, E1 submits...
AI summary The Preferred Plan addresses stakeholder concerns about rising program delivery costs by attributing increases to structural and market factors beyond E1's control. Customer incentives now account for 71% of costs, reflecting increased customer need for financial support. E1 cites a 2015 memo by Philippe Dunsky to justify cost management strategies.
5.8 RATE IMPACTS In designing the Preferred Plan portfolio, E1 explicitly balanced near-term rate impacts with the long-term value delivered to ratepayers. The portfolio reflects a measured approach to investment, limiting it to the same i...
AI summary E1's Preferred Plan balances near-term rate impacts with long-term value by maintaining 2026 investment levels, diversifying programming across customer classes, and prioritizing cost-effective, long-lasting measures. The approach emphasizes affordability, system flexibility, and equity through targeted low-income programs and efficient delivery, supported by a forward-looking Rate and Bill Impact Analysis.
GLOSSARY OF TERMS Term Definition or equipment. For the reference measure or equipment, the baseline may include such information as the hours of operation, wattage, and base consumption. Cumulative savings Sum of incremental savings achie...
AI summary The text defines key terms related to demand-side management (DSM) and cost recovery mechanisms. It outlines the DSM Cost Recovery Rider (DCRR), which allows NS Power to recover costs of approved DSM plans, and describes the DSM Forecast, which tracks spending and savings against approved plans and mid-course adjustments.
7 2. PREVIOUS DSM PLAN RESULTS
AI summary The section reviews outcomes of past Demand Side Management (DSM) plans, focusing on energy efficiency, cost recovery mechanisms, and compliance with regulatory frameworks. It highlights metrics, challenges, and alignment with Nova Scotia's energy policies.
1 Figure 1: 2027–2031 DSM Preferred Plan – Payback DSM investment includes EE, DR, Solar-PV and Enabling Strategies. Green bars are nominal investment. Blue bars are nominal avoided cost. Yellow line is a 2027 net present value (NPV) of th...
AI summary The 2027–2031 DSM Preferred Plan – Payback includes investments in Energy Efficiency (EE), Demand Response (DR), Solar-PV, and Enabling Strategies. Green bars represent nominal investment, blue bars show avoided costs, and the yellow line depicts NPV using NS Power's WACC. The analysis evaluates cost recovery and financial viability of DSM initiatives.
Energy Efficiency The investment for energy efficiency is reflective of the costs E1 expects to incur to achieve the savings with the suite of programs included in the Preferred Plan. Investment levels in Residential sector programs repres...
AI summary E1's energy efficiency investment allocates 56% to residential programs (29% savings) and 44% to BNI programs (71% savings), reflecting a shift toward non-lighting measures post-2025 LED baseline. Savings decline from 2027-2031 due to Canada Greener Homes Grant closure and removal of Residential Behaviour. 2024 billing analyses further reduced residential savings.
1 achieved per measure). The 2024 DSM Evaluation results for residential heat pumps, established through a billing analysis, reduced savings for this measure by approximately 50%[13](#page-126-0) 2 . - 4 Changes to costs in programs (progr...
AI summary The 2024 DSM Evaluation reduced residential heat pump savings by 50%. The Canada Greener Homes Grant's 2025 end increased Home Energy Assessment program costs, while E1 raised incentives for Affordable Multifamily Housing. Broader inflation, labor, and supply chain costs also elevated DSM program delivery expenses. E1 emphasizes competitive procurement to manage costs.
10 6.3 NEW RESIDENTIAL 4 9 13
AI summary Section 6.3 of the Nova Scotia regulatory proceeding discusses new residential energy initiatives, likely involving Demand Side Management (DSM) programs, cost recovery mechanisms (DCRR), and regulatory oversight by the Nova Scotia Utility and Review Board (NSUARB). Key entities include NS Power, E1, and the NSEB, with focus on energy efficiency (EE), demand response (DR), and program cost testing (PAC).
12 6.5 CUSTOM INCENTIVES PROGRAM
AI summary Section 6.5 of the Nova Scotia regulatory proceeding discusses the Custom Incentives Program, focusing on demand-side management (DSM) and energy efficiency (EE) initiatives. The program involves entities like NS Power, NSEB, and DSMAG, with considerations for cost recovery, rate design, and regulatory compliance under the ERBA and PUA frameworks.
7 6.6 DIRECT INSTALLATION PROGRAM
AI summary The Direct Installation Program under Nova Scotia's Demand Side Management (DSM) framework aims to enhance energy efficiency and reduce GHG emissions through targeted initiatives. Key stakeholders include NS Power, NSEB, and ERBA, with regulatory considerations involving cost recovery and program effectiveness.
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AI summary This document is from a Nova Scotia regulatory proceeding, listing acronyms and entities relevant to energy regulation, including organizations like NS Power, programs such as DSM, and regulatory frameworks like the PUA and ERBA. It outlines key terms for energy efficiency, demand response, and utility cost recovery mechanisms.
3 [Table 47](#page-169-0) provides the program performance indicators. 5 Table 47: 2027–2031 Demand Response Performance Indicators Year Investment ($ million) Available Capacity (MW) Participation (devices) Participation (participants) Le...
AI summary Table 47 outlines the 2027–2031 Demand Response (DR) performance indicators, including investment, available capacity, participation numbers, and the Program Administrator Cost (PAC) test. The table shows a steady increase in investment and available capacity over the years, with participation numbers remaining relatively stable. The PAC test is defined as a benefit/cost ratio comparing lifetime benefits to DR investment, with levelized costs calculated over a ten-year period.
INFORMATION & ANALYTICS
AI summary The INFORMATION & ANALYTICS section outlines regulatory proceedings in Nova Scotia, involving energy efficiency, demand-side management, and utility rate structures. Key entities include NS Power, NSEB, and ERBA, with topics focusing on DSM, EE, and rate design.
DSM PLANNING
AI summary The document outlines the context for Demand Side Management (DSM) planning in Nova Scotia, referencing key regulatory bodies, programs, and acronyms relevant to energy efficiency, utility regulation, and DSM cost recovery mechanisms.
3. Energy Board and stakeholder consultant costs In addition to E1's directly incurred costs, flow-through costs related to the Energy Board and its consultants, the Consumer Advocate and its consultants, and the Small Business Advocate an...
AI summary Flow-through costs from the Energy Board, Consumer Advocate, Small Business Advocate, and their consultants, along with E1's costs, are categorized under 'Other Enabling Strategies' investment. These costs are included in the broader investment framework for regulatory proceedings.
1.1.1 Innovation Goals E1's Innovation team uses established Innovation Goals to define the long-term outcomes of all projects from concept, planning to close. Innovation Goals ensure that long-term outcomes align with the DSM mandate. Acr...
AI summary E1's Innovation team uses Innovation Goals to align long-term outcomes with the DSM mandate, focusing on improving cost-effectiveness, advancing new DSM measures and programs, leveraging system insights, and utilizing other funding sources.
2.1 Innovation Oversight The Executive Leadership Team oversees E1's innovation activities, providing strategic direction, approvals, and compliance oversight. - Responsibilities include: - Reviewing and approving innovation projects; - De...
AI summary The Executive Leadership Team oversees E1's innovation activities, ensuring alignment with strategic goals, 2027–2031 DSM priorities, and available resources. Responsibilities include project approval, resource allocation, and performance monitoring through success metrics.
3.1 OVERALL RATE IMPACTS - DSM can lower rates by avoiding electricity system costs (avoided energy, capacity, transmission and - distribution). DSM may also increase rates, a result of recovering program costs as well as lost revenues - d...
AI summary DSM initiatives may lower electricity rates by avoiding system costs but could increase rates due to program recovery costs and lost revenue. The 2027–2031 DSM Plan RBIA analysis shows average rate impacts ranging from -0.1% to +0.9% over 2027–2046, with higher short-term increases (+1.6% to +4.7%) during program cost recovery (2027–2031) and lower long-term impacts (-0.8% to -0.1%) post-recovery (2032–2046).
11 3.2 OVERALL BILL IMPACTS Generally speaking, ratepayers that participate in DSM programs directly benefit by reducing their electricity consumption and thereby lowering their electricity bills. Together, the level of reduced consumption...
AI summary DSM programs in Nova Scotia reduce electricity bills for participants by 0.04% to -37%, while non-participants see minimal increases (0.1% to +0.8%). Total customer bill impacts range from -0.04% to -3.4%, with $0.4 billion in savings for ratepayers due to reduced revenue requirements from 2027–2031 DSM initiatives.
2 Alternate Scenario)
AI summary The document references an alternate scenario within a regulatory proceeding, likely exploring demand-side management (DSM) strategies, cost recovery mechanisms, and energy efficiency programs. Key entities include NS Power, NSEB, and DSMAG, with topics focusing on regulatory frameworks and program evaluations.
7. FUTURE CONSIDERATIONS E1 understands that NS Power has developed an updated Cost of Service Study (COSS) which has been filed with the NSEB as part of NS Power's 2026–2027 General Rate Application (M12451). Once concluded, E1 will work...
AI summary E1 acknowledges NS Power's updated Cost of Service Study (COSS) filed with the NSEB as part of its 2026–2027 General Rate Application (M12451). E1 will collaborate with stakeholders to assess implications for the Rate and Bill Impact Analysis (RBIA). Future RBIA applications will address the 2032–2036 DSM Resource Plan and 2035 historical RBIA, expected in early 2035.
-counting of participants from multiple resources. DATE FILED: March 31, 2026 Page 2 of 8 4 7 8 10 11 44 This graph shows bill impacts of all DSM resources combined,as percentage differences relative to the no-DSM scenario. 'Participants'...
AI summary The text discusses the bill and rate impacts of Demand Side Management (DSM) resources, comparing participants (customers with average DSM savings) to non-participants. Graphs illustrate annual and active participation rates, noting double-counting adjustments. Metrics include total customers, weighted-average measure life, and participation across resources like energy efficiency and demand response.
10. NS POWER RATE MODEL SCENARIOS - This section describes at a high-level how the NS Power Rate Model works and some recent - improvements that were made. - Both the E1 RBIA model and NS Power rate model include the actual costs and benef...
AI summary The NS Power Rate Model incorporates historical and planned DSM savings, calculating revenue requirements with and without DSM resources. The 'DSM Benchmark' includes all DSM costs and savings, while the E1 model allows users to adjust avoided cost scenarios and select DSM resources. Revenue requirements are prorated based on cost drivers like consumption and peak demand.
Methodology for determination of changes in NS Power's base cost rates as a result of DSM-induced changes in class usage and total system costs November 27, 2020
AI summary This document outlines the methodology for adjusting NS Power's base cost rates based on DSM-induced changes in class usage and system costs. It involves regulatory analysis under the ERBA and NSUARB frameworks, focusing on cost recovery and rate design considerations.
1.0. Introduction In an effort to more precisely and accurately align EfficiencyOne's (E1) RBIA Model with the methodological process used by NS Power in setting of its base cost rates, all rate setting functionality from E1's RBIA model h...
AI summary EfficiencyOne's RBIA model is being realigned with NS Power's COSS methodology, shifting rate-setting responsibility to NS Power. NS Power will provide annual inputs (e.g., revenue forecasts, DSM charges) to E1's RBIA model under 'With DSM' and 'No DSM' scenarios, with NS Power responsible for cost allocation methods and data assumptions.
2.0. Background The regulated base cost rate setting process involves the following three sequential analytical steps: - Determination of total annual revenue requirement; - COSS concerned with apportionment of total costs among rate class...
AI summary The regulated base cost rate setting process involves three steps: determining total annual revenue requirement, conducting a Cost of Service Study (COSS) for cost apportionment among rate classes, and setting class rates. The document was filed on March 31, 2026.
Revenue Requirement Ordinarily, the base cost rate setting process used in rate case applications requires a great amount of detailed cost inputs to determine revenue requirement. Annual rate base data needs to be collected on a variety of...
AI summary The revenue requirement process typically requires detailed cost data, but for the RBIA, only DSM-induced avoided costs are considered while keeping other costs constant. This simplifies analysis by focusing on directional and relative rate changes due to DSM programs.
Cost of Service Studies COSS provides the most insight into class cost causation as based on changes in its energy and demand usage. It shows in a transparent way how rate class usage of demand and energy services within each functional ar...
AI summary COSS provides insights into cost causation by analyzing energy and demand usage changes. NS Power's annual Load Forecast Report and E1's long-term usage forecasts enable simplified COSS analysis for rate adjustments, bypassing detailed future cost data collection.
Rates and Revenues There is little that can be inferred about the cost causation process from the rate structures used by the utility to generate customers' bills. The rates are bundled and therefore do not allow tracking of cost recovery...
AI summary NS Power's bundled rate structures hinder tracking cost recovery by functional areas. Residential and small general classes recover demand costs via energy charges, while others use a mix of demand and energy charges. Misalignment exists between revenues and costs for certain rate classes, as noted in the COSS.
Conclusions Bypassing the detailed COSS ratemaking step, which is intended to show how DSM-induced, cost causative changes in usage affects rates will produce misleading results and create difficulties in interpretation. Any such rate anal...
AI summary Bypassing the COSS ratemaking step leads to misleading rate analyses by failing to account for DSM-induced changes in usage and embedded system cost reallocations. A simplified COSS process is recommended to provide precise results and better insights into how usage changes affect total service costs.
3.1 Revenue Requirement The annual revenue requirements under the "With DSM" scenario are kept consistent with the test year information from the preceding rate cases. The non-FAM costs in the years following the 2014 test year from the 20...
AI summary The document outlines revenue requirements under 'With DSM' and 'No DSM' scenarios, adjusting costs for inflation and DSM impacts. FAM and non-FAM costs are modified based on test year data and avoided fuel costs. Historic cost true-ups are excluded due to minimal impact, lack of rigor, and complexity. The analysis uses data from 2011-2035 and references prior rate proceedings.
3.2 Cost of Service Studies Cost of service Studies consist of an application of the following three sequential steps: - functionalization of revenue requirement to the four areas: generation, transmission, distribution and retail; - class...
AI summary Cost of Service Studies (COSS) involve three steps: functionalizing revenue requirements across four areas (generation, transmission, distribution, retail), classifying costs into energy, demand, and customer categories, and apportioning costs among rate classes. Most costs are shared by all customers, except streetlight fixture costs, which are assigned exclusively to unmetered street and area light customers in NS Power's COSS.
3.2.1 Functionalization of System Costs As indicated in the Revenue Requirement section above, NS Power has used the test year revenue requirements, already functionalized by the four areas, from the historic rate cases. In the "With DSM"...
AI summary NS Power has functionalized system costs based on historic rate cases, adjusting revenue requirements for changes in load and inflation. The impact of DSM on load savings and avoided costs is considered, with examples provided on the true-up of depreciation costs from the Maritime Link project.
3.2.2 Classification of System Costs Costs within each area are classified into appropriate services. Generation and transmission costs are classified into energy and demand. Distribution costs are classified between demand and customer. R...
AI summary System costs are classified into energy, demand, and customer categories. Generation costs depend on unit type (baseload, peaking, environmental), with NS Power using a linear equation for classification. Transmission costs align with load factors, while distribution and retail costs remain static except for inflation. DSM impacts reclassification but does not alter customer numbers.
3.2.3 Allocation of Costs to Rate Classes Annual cost requirements within each service of each functional area are apportioned to rate classes based on class share in the underlying usage both in the "With DSM" and "No DSM" case.
AI summary Annual costs for each service and functional area are allocated to rate classes based on their share of usage in both 'With DSM' and 'No DSM' scenarios. This approach ensures cost distribution reflects actual consumption patterns across different rate classes.
FAM-related Costs The FAM-related costs are allocated to rate classes using the following two-step process: • Annual class energy usage is multiplied by the benchmark unit cost $/MWh DATE FILED: March 31, 2026 Page 7 of 16 - o In the "With...
AI summary The Fuel Adjustment Mechanism (FAM) allocates costs via a two-step process using benchmark unit costs, with distinct methods for 'With DSM' and 'No DSM' cases. The current model does not differentiate between energy and demand-related costs, a limitation stemming from historical low demand costs. Recent increases (15% of FAM costs due to Maritime Link) may warrant future RBIA adjustments.
Non-FAM related Costs The non-FAM-related costs are allocated to rate classes using the following two-step process: - Annual class usages of energy and demand services are multiplied by benchmark $/MWh and $/MW unit costs, respectively - o...
AI summary Non-FAM-related costs are allocated to rate classes via a two-step process: multiplying annual class usages by benchmark costs from 'With DSM' or 'No DSM' cases, then scaling estimates to match revenue requirements per functional area. The 'With DSM' case uses the most recent prior rate case, while the 'No DSM' case references the same calendar year as the 'With DSM' case.
DSM Costs The annual DSM-related costs incurred by individual rate classes, as provided by E1, are apportioned to rate classes based on the 25/75 rule. 75 percent of the costs incurred by each class is treated as direct responsibility of e...
AI summary The document outlines the apportionment of annual DSM costs among rate classes using a 25/75 rule, with 75% directly assigned to each class and 25% distributed based on energy and demand usage metrics, including load factor, system generation share, and winter peak demand.
3.2.4 Generic COSS Results The actual results from the above cost allocation process under the "With DSM" and "No DSM" scenarios are presented in the "COSS Outputs" tab within NS Power's rate model, where the long-term trends in annual rel...
AI summary The COSS Results compare 'With DSM' and 'No DSM' scenarios, showing higher unit costs in historic periods due to DSM program costs and lower differentials in out-years as DSM measures expire. Fuel-cost-heavy classes (e.g., Large Industrial) benefit more from DSM, while fixed-cost-heavy classes (e.g., Domestic) see less impact. Trends are analyzed via NS Power's rate model.
3.3 Unit Revenue Determination For the directional purposes of the RBIA model, it is not considered necessary to develop annual rates with all charges under the "With DSM" and "No DSM" cases. Rather, it is sufficient for NS Power to provid...
AI summary NS Power determines unit revenues for rate classes by providing blended revenues in cents per kWh, excluding customer charges for residential and small general classes. Factors like fuel cost adjustments, deferrals, rate smoothing, and revenue-to-cost ratios are excluded, but this has no material effect on relative changes between 'With DSM' and 'No DSM' cases.
"COSS Data Inputs" tab This tab includes all annual test year class usage and embedded costs from the COSS and BCF COSS filed in GRA and BCF proceedings as well as a forecast of annual usage by class per the most recent ten-year Load Forec...
AI summary The 'COSS Data Inputs' tab compiles annual test year class usage, embedded costs from COSS and BCF COSS filings in GRA and BCF proceedings, a ten-year load forecast, and DSM expenditures by rate class. This data informs class unit cost and revenue calculations.
"E1 Data Inputs" tab This tab includes information provided to NS Power by E1 on DSM Program measures and avoided unit costs, all of which are used in determination of class unit costs and revenues.
AI summary The 'E1 Data Inputs' tab contains information provided by E1 to NS Power regarding DSM Program measures and avoided unit costs, which are essential for calculating class unit costs and revenues.
Savings in energy and demand usage by rate class Savings in energy and demand usage arising from DSM programs for each class are tracked in the following class tabs: R-Savings, SG-Savings, G-Savings, LG-savings, SI-Savings, MI-Savings, LI-...
AI summary The document outlines how energy and demand savings from DSM programs are tracked across rate classes (R-Savings, SG-Savings, etc.) using data from 2011–2022. Annual savings are calculated by E1 using methods from its RBIA Reports, with adjustments for energy losses based on the COSS study.
"Total-Savings" tab The "Total-Savings" tab provides a sum of annual class savings in energy and demand usage at the generator's gate and customer's meter. In addition, class demand savings at the high side of the bulk power substation are...
AI summary The 'Total-Savings' tab calculates annual energy and demand savings at the generator's gate and customer's meter, including avoided fuel, generation, transmission, and distribution costs. FAM-related avoided costs use unit fuel costs multiplied by energy savings, while non-FAM costs use avoided infrastructure costs per MW demand savings.
Cost of Service Studies Apportionment of costs to rate classes is done separately for the "With DSM" and "No DSM" cases" in the tabs bearing the same names.
AI summary The document discusses the separate apportionment of costs to rate classes under 'With DSM' and 'No DSM' scenarios, as outlined in corresponding tabs. This approach allows for distinct cost allocation analyses based on demand-side management considerations.
"With DSM" tab The "With DSM" tab provides annual cost allocation to rate classes based on long-term usage as included in NS Power's most recent Annual ten-year Load Forecast Report. This usage already reflects inclusion of DSM Program eff...
AI summary The 'With DSM' tab allocates annual FAM costs to rate classes using NS Power's load forecast, which includes DSM program effects. FAM costs for 2023-2035 are calculated via a two-step process: applying 2022 blended unit FAM costs to forecasted MWh usage, then scaling to match total annual FAM costs using a formula incorporating previous year costs and energy requirement deltas.
Comments The applied process is a simplification of a more elaborate cost allocation process from the COSS where some FAM costs, such as fuel costs, are allocated to rate classes based on their shares in monthly energy requirements; some o...
AI summary The text describes a simplified cost allocation process for FAM (Fuel Adjustment Mechanism) costs, distributing them based on factors like energy requirements, annual energy shares, and system load factors. It notes that non-FAM costs are fixed between rate cases but can be adjusted for inflation. Relative class unit costs from 2022 are carried forward to 2023–2035, with adjustments based on annual inflation and system load factor changes.
"COSS Var" tab "COSS Var" provides differentials between cell values in the "No DSM" and "With DSM" tabs. Please note that the data layouts in the "No DSM" and "With DSM" tabs are identical with the exception for the treatment of DSM costs...
AI summary The 'COSS Var' tab compares cell values between 'No DSM' and 'With DSM' scenarios, highlighting differences in cost calculations. The 'No DSM' tab excludes Demand Side Management (DSM) costs, while the 'With DSM' tab includes them, with identical data layouts otherwise.
1 Table 6: 2029 Alternate Scenario Savings and Investment by Program Component 2029 Investment ($ million) Lifetime Benefits ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Deman...
AI summary The text presents a table titled '2029 Alternate Scenario Savings and Investment by Program Component' with columns related to investment, benefits, energy savings, and other metrics. However, no data is provided under the 'Residential EE Programs' row, leaving the content incomplete.
14 4. PRICE & PAYMENT - 15 4.1 NSPI agrees to pay EfficiencyOne for EECA DSM as set out in Schedule "B" 16 Compensation (the "Contract Price"). - 17 4.2 The Contract Price shall constitute full compensation for the EECADSM, and no addition...
AI summary NSPI agrees to pay EfficiencyOne for EECA DSM services at the Contract Price outlined in Schedule B, with no additional compensation for indirect costs. Monthly payments are due on the first business day of each month, subject to HST and applicable tax withholdings. All amounts are in Canadian currency, and statutory withholdings may apply for non-resident services.
6 Schedule A
AI summary Schedule A of a Nova Scotia regulatory proceeding document, likely related to energy management, utility regulations, and cost recovery mechanisms. Context includes acronyms and entities relevant to energy efficiency, demand response, and utility rate structures.
4.2 DSM Resource Plan Research
AI summary Section 4.2 discusses research related to Demand Side Management (DSM) resource planning in Nova Scotia, involving regulatory bodies, programs, and analyses of energy efficiency, demand response, and cost recovery mechanisms.
18 5. CONSOLIDATED ENDNOTES AND SOURCES - 1. M06733 E1 2016–2018 DSM Resource Plan, NSUARB Order, October 7, 2015. The Order approved the 2016–2018 DSM Plan and the Consensus Agreement. (Parties agreed to establish the Standardized Filing...
AI summary The document lists consolidated endnotes and sources from Nova Scotia regulatory proceedings, including approvals of DSM plans, directives on cost recovery, and the adoption of the PAC test. Key references include NSUARB decisions, the 2024 Energy Reform Act establishing NSIESO, and requirements for enhanced reporting and rate class analysis. Regulatory frameworks, cost-effectiveness criteria, and compliance with the Public Utilities Act are emphasized.