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e Province’s declining power sector emissions schedule and underlying power system technical constraints (primarily, transmission and operating reserves criteria). Modeling Plan and Input Assumptions Synapse developed a modeling plan and a...
AI summary Synapse developed a modeling plan for NSPI’s thermal resource utilization, considering parameters like peak load, wind capacity credit, transmission expansion, and coal plant retirements. The analysis evaluates technical and economic factors impacting thermal fleet optimization and resource transformation scenarios.
NSPI Thermal Generation Utilization and Optimization M08059 12 Final Report Load Table 3 below lists the projected peak load and annual energy levels for Nova Scotia. The firm peak represents the load level for resource planning—interrupti...
AI summary The document outlines NSPI's projected peak load and annual energy levels for Nova Scotia, emphasizing DSM's role in reducing both peak and energy requirements. Reference scenarios use NSPI’s 2017 Load Forecast, while medium DSM levels assume increased Efficiency One spending, leading to roughly doubled peak load reductions after an initial ramping period.
nd technology), and low natural gas price (i.e., high oil and gas resource and technology) scenarios. Figure 2 shows the forecast series used to construct the price ratios for the sensitivity runs. 17 U.S. EIA. Annual Energy Outlook 2018....
AI summary The document discusses energy price scenarios based on U.S. EIA forecasts and details the Maritime Link Nova Scotia Block's delivery levels and supplemental energy schedules, including assumptions about service dates and energy output.
ice in mid‐2020 and is scheduled as winter‐period‐ only (off‐peak hours) energy (five months, November through March) totaling 260 GWh per year, for the first five years (July 2020 through June 2025). Maritime Link Surplus Energy is made a...
AI summary The document discusses the availability and scheduling of surplus energy from the Maritime Link during off-peak winter hours, priced based on New England Massachusetts hub prices adjusted for transmission costs and losses. It also mentions energy flows between New Brunswick and Newfoundland, with limited recall energy availability for 2018 and 2019.
2.5%/year 20 None built. decline for 10 years Source: NSPI, Synapse assumptions. Solar PV The capacity expansion module of Plexos did not build out any solar PV resources. Solar PV resources do not provide capacity credit in the winter‐pea...
AI summary The text discusses the lack of solar PV capacity expansion in the winter-peaking region and the potential for behind-the-meter solar PV installations. It also references sustaining capital cost estimates for the thermal fleet provided by NSPI in the 2017 10-Year System Outlook report.
Sc2 Med DSM 24.2% 23.8% 23.6% 23.4% 23.1% 23.9% 24.6% 25.3% 26.3% 26.9% 29.0% 29.0% 29.1% Sc4 Ref/HighSusCap 23.4% 20.2% 20.1% 24.5% 23.5% 22.4% 21.9% 21.7% 21.8% 21.6% 21.0% 28.6% 28.0% Sc5 Med DSM/HighSusCap 24.2% 23.8% 23.6% 23.4% 23.1%...
AI summary The text presents a series of scenarios (Sc2, Sc4, Sc5, etc.) with percentage values, likely representing different energy modeling outcomes. These scenarios include variations in demand-side management (DSM), renewable energy capacity, and transmission considerations. The data reflects sensitivity analyses, particularly for low battery cost scenarios.
% 26.7% 42.9% 43.6% 43.7% 43.7% 43.8% Low Battery Cost Sensitivities Sc1LB Ref/BatteryCostDecline 23.4% 20.2% 20.1% 24.5% 23.5% 22.4% 21.9% 21.7% 33.9% 33.7% 33.1% 27.7% 27.0% Sc8LB MedDSM/HighWindCapCredit/BatteryCostDecline 26.3% 25.9% 2...
AI summary The text presents various sensitivity scenarios related to battery costs and gas prices, showing percentage values for different scenarios such as low battery cost decline, medium DSM with high wind capacity credit, and low and high gas price scenarios. These scenarios indicate variations in outcomes based on different assumptions and conditions.
Share of Annual Energy by Fuel 2018-2025 2026-2030 2031-2035 2036-2042 Scenario 1 - Reference Coal/Petcoke 42.3% 34.0% 28.3% 22.1% Maritime Link Incl. NF Recall 12.6% 17.1% 18.4% 20.1% Oil/Gas 7.7% 11.6% 15.4% 20.7% Wind 17.7% 18.4% 18.3%...
AI summary The document presents two energy scenarios (Scenario 1 - Reference and Scenario 13 - High Wind) showing the share of annual energy by fuel type from 2018 to 2042. It highlights the decreasing reliance on coal/petcoke and increasing use of wind energy in Scenario 13, while Scenario 1 shows more stable proportions across fuel types.
high and low gas price scenarios, we also adjust the market prices for import and export energy between Nova Scotia, Newfoundland, and New Brunswick. Figure 6b and Tables 9b and 10b show the results. Other Sensitivities We also conducted t...
AI summary The document discusses sensitivity analyses conducted on various energy scenarios, including high and low gas prices, forced out thermal units, and changes in transmission and steam constraints. These analyses aim to assess the impact of different variables on energy generation and costs.
.8UZxasA. Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 54 Final Report 4. DISCUSSION AND RECOMMENDATIONS 4.1. Discussion Updates Since Technical Conference Additional modeling runs were conduct...
AI summary Synapse Energy Economics conducted additional modeling runs using high and low gas prices, applying a ratio based on US EIA forecasts to NSPI’s delivered price estimates and market costs from New Brunswick and Newfoundland surplus energy.