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ovision Constraints ........................................... 17 Emission Constraints ............................................................................................................... 17 Available Resource New Build Costs ....
AI summary The document outlines sections of a modeling analysis covering emission constraints, resource costs, wind capacity credits, transmission infrastructure, coal plant retirement timelines, and sensitivity analyses. It references a final report by Synapse Energy Economics, Inc. on thermal generation utilization and optimization for Nova Scotia Power.
Plant Utilization – Capacity Factors – Coal and Tufts Cove Units ............................................ 41 Energy by Fuel Type..............................................................................................................
AI summary The document discusses plant utilization, capacity factors for coal and Tufts Cove units, energy by fuel type, emissions, and sensitivities (e.g., battery costs, gas prices). It also outlines updates since a technical conference, demand-side options, NB transmission, and additional wind resources in the discussion and recommendations section.
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.
ization and Optimization M08059 1 Final Report Major Findings The results of our analyses indicate the following specific major findings: The net present value of wholesale1 system revenue requirements (NPVRR, 2018‐2042 period) across th...
AI summary The analysis shows that scenarios with moderate demand-side management (DSM) and wind capacity credits yield the lowest net present value of revenue requirements (NPVRR), outperforming reference scenarios. Wind and energy efficiency are highlighted as cost-effective alternatives to fossil fuels and imports, with medium DSM levels achieving 2% annual energy efficiency gains. Scenarios with 20% wind capacity credits and additional wind generation show the greatest cost reductions.
This result illustrates the value of wind and energy efficiency resources in comparison to gas, oil, and import energy, which in general are otherwise the marginal energy sources. All scenarios utilizing a load forecast that reflects med...
AI summary The text compares wind and energy efficiency resources to fossil fuels and imports, showing that higher demand-side management (DSM) and wind capacity accelerate coal unit retirements (as early as 2024) and reduce planning reserve requirements by 157 MW by 2029. Scenario 1, based on 2017 forecasts, retains thermal fleet capacity through 2030, but other scenarios demonstrate lower NPVRR costs.
Plexos selects more wind than this in all scenarios). However, as noted, all other scenarios demonstrate lower NPVRR costs than this reference case, illustrating the critical 1 In this context, “wholesale” implies supply and energy‐efficie...
AI summary The analysis highlights that alternative resources like energy efficiency and wind generation can reduce NPVRR costs and influence coal unit retirement timelines. It emphasizes the importance of considering peak load reduction strategies over reliance on wind alone, with implications for resource planning and cost management in Nova Scotia's energy sector.
ources—peak load reduction through energy efficiency and incremental wind, in these instances—when considering whether, or when, to designate the next coal unit for retirement. Notably, this result also indicates a need to construct a new...
AI summary The analysis highlights the economic necessity of constructing a new combined cycle unit in 2023, driven by the Plexos model's capacity expansion algorithm, despite low utilization through 2030. It also notes that two coal unit retirements are projected in the reference scenario over the next decade, influenced by DSM scenarios and wind capacity impacts.
nd scenario 16). This reflects the effect of either high sustaining capital costs or increased wind installations and wind capacity crediting in the Plexos retirement decision. The presence of fossil‐fleet emission constraints drives dow...
AI summary The text examines energy utilization under fossil-fleet emission constraints, highlighting reduced coal fleet capacity factors, increased reliance on gas/oil, and the impact of wind energy and DSM scenarios. It emphasizes the need for alternative resource planning to achieve lower costs through higher peak load reduction or wind energy integration.
outcome, reinforcing the importance of carefully examining alternative resource scenarios that incorporate higher levels of peak load reduction and/or wind energy, as feasible. Coupled with this emission‐constraint‐driven outcome, however,...
AI summary The analysis emphasizes the economic and emission-driven selection of wind energy and transmission upgrades, highlighting the need for grid flexibility and cost assessments for increased wind generation on NSPI’s system. Scenarios with higher wind integration show lower NPVRR, underscoring the trade-offs between emission constraints and fossil fuel reliance.
nd performance, since battery energy storage systems can replace the increasingly peaking nature of the energy provided by the least cost‐effective of the coal fleet resources. The bookend scenarios (25, 26) with accelerated coal plant r...
AI summary The text compares NPVRR across scenarios with accelerated coal plant retirements and gas price sensitivity. Accelerated retirements show lower NPVRR, while gas price changes don't significantly alter outcomes. Energy efficiency and wind integration (Scenario 13) are noted as cost-effective alternatives. The Plexos optimization model's results suggest soft-constraint violations in some scenarios.
ractual quantities (NS Block and Supplemental Energy) and allows for both Maritime Link Surplus Energy to be available for purchase and for incremental non‐firm imports (and exports) to New Brunswick. Synapse developed a modeling plan and...
AI summary Synapse Energy Economics collaborated with NSPI to model thermal generation optimization using Plexos, incorporating updated fuel costs, sustaining capital estimates, and renewable energy sources (wind, solar, battery storage). The analysis included reserve margin requirements aligned with NPCC reliability criteria and scenarios for new capacity additions.
napse set the Plexos model to maintain a 20 percent reserve margin in all years when making build/retire decisions, in accordance with Northeast Power Coordinating Council (NPCC) reliability criteria. Additional modeling scenarios were des...
AI summary The analysis uses the Plexos model with a 20% reserve margin per NPCC reliability criteria, exploring scenarios involving peak load, wind capacity credit, transmission expansion, capital expenditures, battery storage costs, gas prices, and coal plant retirements. Post-processing of model outputs standardizes data and calculates revenue requirements to compare NPV of scenarios.
Yes Note: “RetirePath1” reflects additional forced retirements of coal plants beyond Lingan 2 in 2020/21. It reflects sequential retirement in Plexos of Lingan 4 (2023), Lingan 3 (2024), Lingan 1 (2025), and Trenton 5 (2026). Sensitivities...
AI summary The text outlines forced retirements of coal plants beyond Lingan 2 in 2020/21, including specific retirements in Plexos (Lingan 4, 3, 1, Trenton 5). It details sensitivity analyses on battery costs, natural gas prices, thermal units, and transmission constraints, aiming to explore system flexibility and efficiency gains under relaxed modeling conditions.
Wind Scen./ Sust CapCre NB Sens. # Sensitivity Name Load Capital dit Trans Comment Low Battery Cost Sensitivities 1‐LB Ref Low Battery Cost Ref Ref Ref No Med DSM High Wind Cap Cred 8‐LB Low Batt Cost Med DSM Ref High No 13‐LB Ref NB Trans...
AI summary The text presents sensitivity analyses for energy planning scenarios, including low battery costs, gas price variations, and forced retirements of power generation assets (Tufts Cove 3, Trenton 5). It also references updates to cost and availability models in energy planning tools like Plexos.
15.0 8.8 25 2030 4.50 20.0 8.8 30 19 Maritime Link Interim Cost Assessment M07718. 20 NSPI, response to discovery request DR‐15. Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 17 Final Report Not...
AI summary The document discusses the available resource new build costs for NSPI, including wind, gas CC, gas CT, battery storage, and solar PV. Costs were annualized based on economic life, capital cost, and a 7% weighted average cost of capital for NSPI.
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.
.57 44.2 28.7 TC1 78 1.68 1.57 1.42 1.31 1.74 5.33 1.60 1.42 1.31 3.62 21.0 27.0 TC2 93 9.20 2.89 2.74 2.63 26.05 3.00 2.91 2.74 2.63 4.87 59.7 64.1 TC3 147 3.13 12.84 3.13 8.53 2.66 3.00 6.91 3.13 2.63 2.53 48.5 33.0 TC6 46 2.38 2.53 2.77...
AI summary The document presents annualized sustaining capital costs and discusses the use of 'solar plus storage' as an economic alternative resource option, citing reports from the United States National Renewable Energy Laboratory (NREL).
https://www.nrel.gov/docs/fy17osti/68371.pdf and “Evaluating the Technical and Economic Performance of PV Plus Storage Power Plants,” available at https://www.nrel.gov/docs/fy17osti/68737.pdf. Synapse Energy Economics, Inc. NSPI Thermal Ge...
AI summary The document discusses the modeling of sustaining capital costs and wind capacity credits in the context of NSPI's thermal generation and renewable resources. It highlights the treatment of sustaining capital expenditures and the use of different wind capacity credit values in various scenarios.
of 17 percent for NRIS resources and zero for ERIS resources. For all “high wind capacity credit” scenarios (7, 8, 16, 17) a value of 20 percent is used for the capacity credit for all wind resources. The differential capacity credits asso...
AI summary The document discusses capacity credit values for wind resources in Nova Scotia, comparing different scenarios (17%, 20%, and 12.4%). It highlights the impact of using different capacity credit values on the overall capacity contribution and planning reserve margins, especially with coal plant retirements and increased wind deployment.
sive of New Brunswick, Nova Scotia, Prince Edward Island, and Newfoundland) wind capacity credit range of 28.2 percent to 31.6 percent for the high penetration scenario (35 percent of annual energy Synapse Energy Economics, Inc. NSPI Therm...
AI summary The document discusses wind integration studies in Nova Scotia, including capacity credit ranges and methodologies like ELCC. It references studies from 2008 and 2013, and mentions Synapse Energy Economics' work on transmission scenarios in New Brunswick.
ty credit value should be considered for resource adequacy purposes.24 New Brunswick Transmission For the New Brunswick transmission scenarios, Synapse made two adjustments in the modeling structure. First, the Plexos LT expansion mechanis...
AI summary The document discusses adjustments made to the modeling structure for New Brunswick transmission scenarios, including enabling the Plexos LT expansion mechanism for wind resource buildout and incorporating a new cost stream for transmission costs. These changes allow for greater wind capacity additions and account for financial considerations related to the transmission infrastructure.
ick load of 50 percent, given the benefits accruing to NB from such 345 kV reinforcement; a book life of 30 years, a cost of capital of 7 percent, and a resulting fixed charge rate of 8.06 percent. 22 GE. 2016. “Pan Canadian Wind Integrati...
AI summary The text discusses the calculation of a fixed charge rate based on a 50 percent load, 30-year book life, and a 7 percent cost of capital. It also references several studies on wind integration and renewable energy, including reports by GE and Hatch.
FINAL.pdf. Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 21 Final Report Coal Plant Retirement Path Bookend We have executed Plexos modeling scenarios for two “retirement path” modeling bookends...
AI summary This section discusses modeling scenarios executed by Synapse Energy Economics, Inc. for two coal plant retirement path bookends, analyzing build paths, resource use, and costs associated with a gradual retirement of five units over eight years. These scenarios provide a range of costs for a more aggressive coal plant retirement policy, considering uncertainties in carbon emissions policy and other factors.
ing capital costs; alternative resource cost declines) render these bookend scenarios valuable. At a minimum, they provide a bounding estimate on a more aggressive coal plant retirement policy option. Sensitivities We have run additional s...
AI summary The document discusses sensitivity analyses on capital costs, battery costs, natural gas prices, and unit availability, as well as scenarios involving coal plant retirements and transmission flexibility. These analyses aim to evaluate the impact of various factors on energy utilization and system efficiency in Nova Scotia.
nd pipeline system. Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 22 Final Report 3. MODELING RESULTS 3.1. Capacity Balance, Build and Retirement Results Planning Reserve Requirements – Capacity...
AI summary This section discusses modeling results related to capacity balance, build and retirement of generation resources. It highlights planning reserve margins (PRM) by scenario and year, and details how the Plexos model optimizes retirement and build decisions based on cost minimization.
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.
22.0% 22.3% 33.7% 45.0% Sc13HG Ref/NB Trans/AdditionalWind/HighGas 23.4% 22.8% 22.7% 22.1% 21.3% 20.9% 21.3% 21.9% 22.8% 23.5% 22.9% 22.3% 21.7% Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 27...
AI summary The text presents data and scenarios related to energy generation and utilization, including percentages and a table outlining builds and retirements of energy resources from 2018 to 2040. It references a report by Synapse Energy Economics, Inc. and a matter number (M08059) related to NSPI Thermal Generation Utilization and Optimization.
CC253 Batt 20 Batt 40 Batt 100 2 Med DSM Wind 100 Ret Lin 2 Ret Lin 4 Ret Batt 40 Batt 20 Batt 40 Ret Batt 20 Batt 120 Ret Lin 2 New New CC253 4 Ref/HighSusCap Ret Lin 3 Wind 100 CT100 Ret Batt 100 Batt 100 Batt 20 Batt 20 Batt 20
AI summary The text appears to be a diagram or schematic representing various components and connections related to energy systems, including batteries, wind power, and transmission lines. It includes labels such as 'CC253,' 'Batt 20,' 'Wind 100,' and 'Ret Lin 2,' which may refer to specific infrastructure elements or projects.
Batt 80 Batt 40 Ref/NB Ret Lin 4 16 Trans/HighWindCapCr Wind 100 Ret Lin 2 Wind 100 Wind 100 Wind 100 Wind 100 Wind 100 edit/600MWWind Batt 20 Batt 20 Batt 20 Batt 80 Batt 20 Batt 20 Med DSM/NB Ret Lin 4 17 Trans/HighWindCapCr Wind 100 Ret...
AI summary The text contains a table with references to wind capacity and demand-side management (DSM) initiatives in New Brunswick, including terms like 'Trans/HighWindCapCr' and 'Med DSM/NB'. It also includes battery capacity references such as 'Batt 20' and 'Batt 80'.
Batt 20 Batt 100 Ret Batt 20 100 Batt 80 Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 28 Final Report Table 8b. Builds and Retirements, Low Battery Cost, Gas Price, and Forced Retirement Sensit...
AI summary The text presents a table from a regulatory proceeding document analyzing builds and retirements of energy resources under various sensitivity scenarios, including low battery cost, gas price, and forced retirement, spanning from 2018 to 2040. The table includes different scenarios such as 'Ref/BatteryCostDecline', 'Batt 100', and 'MedDSM/HighWindCa'.
New CC253 Ret Batt 100 MedDSM/HighWindCa Low Battery Cost Sensitivities 8LB pCredit/BatteryCostDe Wind 100 Ret Lin 2 Ret Lin 4 cline Ref/NB 13LB Trans/AdditionalWind/ Ret Lin 4 Wind 100 Ret Lin 2 Wind 100 Wind 100 Wind 100 Wind 100 Wind 10...
AI summary The text presents a visual representation of various components and cost sensitivities related to a new CC253 project, including battery costs, wind power, and transmission lines. It includes references to Ret Batt 100, Ret Lin 2, Ret Lin 4, and other related terms, suggesting an analysis of different scenarios involving battery cost declines and wind power integration.
BatteryCostDecline Batt 100 Batt 40 Ret Batt 100 Ret Batt 40 Ret Lin 4 Ret Lin 1 Med New New CC253 Ret Tren 5 26LB DSM/RetirePath1/Batte CT100 Ret Lin 3 New CT200 New CT100 ryCostDecline Wind 100 Ret Lin 2 Wind 100 Wind 100 Wind 100 Wind 1...
AI summary The text appears to be a visual representation or diagram showing various components such as batteries, wind turbines, and other infrastructure elements. It includes labels like 'BatteryCostDecline', 'Batt 100', 'Batt 40', 'Ret Batt 100', 'Ret Batt 40', 'Ret Lin 4', 'Ret Lin 1', 'New', 'New CC253', 'Ret Tren 5', 'CT100', 'Ret Lin 3', 'New CT200', and 'Wind 100'.
requirements to allow for the inclusion of more wind energy on the system. Since this increase in interconnection capacity would extend back into New Brunswick considerably (we assumed a total cost 27 First‐year DSM costs for 2017 were est...
AI summary The text discusses the cost-sharing arrangement for interconnection reinforcement to New Brunswick, estimating first-year DSM costs for 2017 and new build costs for various energy resources. It references modeling by Synapse Energy Economics, Inc. and the use of Plexos for unit commitment and dispatch costs.
nits (in a 253 MW block), and battery energy storage systems (in 20 MW blocks). Fuel, fixed O&M, and variable O&M for new build units are incorporated in the Plexos unit commitment and dispatch costs. Cost Exclusions Excluded from the comp...
AI summary The document discusses the inclusion of new generation and battery energy storage systems in the Plexos unit commitment and dispatch costs. It also highlights the exclusion of additional transmission system support investment from the revenue requirement proxy and outlines the costs associated with reactive power support devices, noting the need for a more robust transmission system as NSPI increases its reliance on renewable energy.
Low Batt Cost Sensitivities by Component by Scenario 16.0 14.0 12.0 10.0 8.0 6.0 4.0 2.0 - Sc1 Sc2 Sc4 Sc5 Sc7 Sc8 Sc13 Sc14 Sc16 Sc17 Sc25 Sc26 Sc1Sens Sc8 LowBatt Sc13Sens Sc26Sens Ref MedDSM HiSusCap HiSuscap HiWnd HiWnd NBTx NBTx NBTx...
AI summary The text presents a graph showing the NPV of revenue requirements by scenario and component, including fuel, variable operating and maintenance (VOM) costs, renewable energy (RE) costs, fixed O&M costs, sustainable capacity, new build, incremental demand-side management (DSM), NB transmission, NS ML costs, and ML surplus plus NB import costs, under different sensitivity scenarios.
st Fuel 4.52 4.03 4.46 4.05 4.44 4.05 3.96 3.62 3.93 3.64 3.69 3.26 4.50 4.08 3.94 3.34 VOM 0.15 0.13 0.15 0.13 0.14 0.13 0.13 0.12 0.12 0.12 0.14 0.12 0.15 0.13 0.13 0.12 RE Cost 3.07 3.07 3.07 3.07 3.07 3.06 3.00 2.98 3.00 2.98 2.99 2.96...
AI summary The text presents a table with various cost categories and their values across multiple years, including fuel, VOM, RE cost, fixed O&M, SustCap, New Build, Inc DSM, NB Transm, NS ML Costs, and ML Surp+NB Imp. The data reflects different cost components and their associated figures.
Tufts Cove 3 Trenton 5 Force Retire Original Gas Price Sc 1 TC3 Sc 1 Tufts and Sc 2 TC3 Cove 3 Trenton 5 and Tr5 Sc 1 Low Sc 2 Low Sc 4 Low Sc 13 Low Sc 1 High Sc 4 High Sc 13 High Force Force Force Component Sc 1 Sc 2 Gas Gas Gas Gas Gas...
AI summary The text provides a table comparing various scenarios related to the Tufts Cove 3 and Trenton 5 projects, including fuel costs, variable operating and maintenance (VOM) costs, and renewable energy (RE) costs under different conditions such as low and high gas prices, and a force retire scenario.
ics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 37 Final Report Table 10a. Share of NPV RR by Component and by Scenario ‐ Main Scenarios and Low Battery Cost Sensitivities Sc17 NBTx Low Battery Cost Sensitivities Sc8...
AI summary The table presents the share of NPV RR by component and scenario, including main scenarios and low battery cost sensitivities. It shows varying percentages for fuel, VOM, and RE cost across different scenarios, indicating the impact of different factors on the net present value of renewable energy projects.
Retire Retire Fuel 31.0% 29.0% 30.8% 28.4% 29.5% 26.7% 32.6% 31.8% 29.4% 30.7% 30.6% 29.4% VOM 1.0% 0.9% 1.1% 1.0% 1.1% 0.9% 1.0% 1.0% 0.9% 1.0% 1.1% 1.0% RE Cost 21.0% 22.0% 22.1% 22.2% 21.4% 21.2% 19.7% 19.4% 20.3% 21.3% 21.2% 22.1% Fixe...
AI summary The text presents a series of percentages related to various cost components, including fuel, variable operating and maintenance (VOM), renewable energy (RE) costs, fixed operating and maintenance (O&M), sustained capital (SustCap), new build, incremental demand-side management (Inc DSM), New Brunswick (NB) transmission, Nova Scotia Maritime Link (NS ML) costs, and Maritime Link surplus and NB import costs.
NSPI Thermal Generation Utilization and Optimization M08059 40 Final Report 3.4. Energy Balances Plant Utilization – Capacity Factors – Coal and Tufts Cove Units Figures 8 through 11 contain the utilization of the aggregate coal fleet (as...
AI summary This section discusses the utilization of coal and Tufts Cove units under various scenarios, showing declining coal fleet utilization due to emission regulations and changing utilization patterns at Tufts Cove units, influenced by factors like wind energy and load levels.
verage annual capacity factors because the wind and the saved energy displaces what would otherwise be marginal energy generation at the Tufts Cove facility, in addition to displacing economy imports. Tables 11 through 14, which follow the...
AI summary The text discusses the impact of demand-side management (DSM) and wind energy on thermal generation utilization in different scenarios. It references tables and figures showing capacity factors for various units and scenarios, including the effects of lower load and higher wind generation.
Aggregate Utilization ‐ Scenario 2, Medium DSM 60.0% 50.0% 40.0% Capacity factor 30.0% 20.0% Coal 10.0% TC 1-3 TC 4-6 0.0% Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 42 Final Report Figure 10...
AI summary The text presents capacity factor data for various scenarios involving thermal generation utilization and optimization, including different levels of DSM and wind capacity credits. The charts illustrate the impact of these scenarios on coal and transmission capacity factors.
Final Report Table 13: Capacity Factors – Thermal Fleet Scenario 16, NB Transmission, High Wind Capacity Credit, 600 MW Wind
AI summary The text presents a table titled 'Capacity Factors – Thermal Fleet' under Scenario 16, which includes NB Transmission, a High Wind Capacity Credit, and a 600 MW Wind capacity. This scenario is part of a larger analysis of energy generation and transmission planning.
New CC ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ New CT Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 47 Final Report Energy by Fuel Type The presence of the continually declining emissi...
AI summary The report discusses the impact of declining emissions constraints on the shift from higher to lower carbon fuels in Nova Scotia's energy mix. It highlights how least-cost dispatch results influence the mix, considering factors like fuel prices, hydro and wind availability, and energy pricing from the Maritime Link and New Brunswick imports.
terns for scenarios 1 and 13. The graphs of energy by fuel type for the remaining scenarios are contained in Appendix 5.5. Table 15. Share of Annual Energy by Fuel – Reference and High Wind Scenarios
AI summary The text references graphs and tables that illustrate the share of annual energy by fuel type for different scenarios, specifically the reference and high wind scenarios, with additional data found in Appendix 5.5.
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.
lus NB Imports NL Recall Load Figure 13. Scenario 13 Reference / NB Transmission / High Wind Annual Energy by Fuel Type 12,000 10,000 Annual generation by fuel type, GWh 8,000 6,000 4,000 2,000 0 2018 2019 2020 2021 2022 2023 2024 2025 202...
AI summary The text presents a figure depicting annual energy generation by fuel type over several years, including coal, oil/gas, natural gas combined cycle (NGCC), biomass, hydro, wind, and other renewable energy (RE) sources, as well as imports from New Brunswick (NB) and Newfoundland (NL). It references a report by Synapse Energy Economics, Inc., related to NSPI Thermal Generation Utilization and Optimization M08059.
io 70 60 50 SO2 kTons/year 40 30 20 10 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 SO2 Constraint Reference Case Scenario 2 Scenario 4 Scenario 5 Scenario 7 Scenario 8 Scenario 13 Scenario 16 Scenario 17 Scenario 25 Scenario...
AI summary The document presents graphical data on SO2, NOx, and mercury emissions across various scenarios, including reference cases and different emission constraints, as part of a study on thermal generation utilization and optimization conducted by Synapse Energy Economics, Inc. for the Nova Scotia Power Inc. proceeding M08059.
. Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 53 Final Report MWh ($CA) for utility‐scale wind.32 Colorado’s Xcel reported results for wind and solar resource procurements with relatively low...
AI summary The report discusses the low costs of renewable energy resources, particularly wind and solar paired with storage, and highlights the potential for NSPI to incorporate more wind into its resource planning. It also notes the importance of considering additional resources like demand response and storage for peak load reduction, though these were not fully explored in the analysis.
vailable. Nonetheless, our total DSM costs for medium DSM scenarios are increased to ~$410 million (NPV RR), compared to the ~$330 million reported in our Draft Report and at the technical conference. The Draft Report and the technical con...
AI summary The report discusses the correction of a post-processing error in the Draft Report and technical conference slides, which led to an overestimation of DSM costs and NPVRR costs for scenarios with increased wind levels. The correction lowers the NPVRR for these scenarios, but does not affect build/retirement decisions. References are made to Efficiency One's letters regarding Navigant report estimates.
Efficiency One. Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 55 Final Report Demand Side Options We have limited out assessment to two different loading scenarios, one based on NSPI’s reference...
AI summary The report discusses demand-side management (DSM) scenarios and their impact on NSPI's capacity mix, highlighting the potential to avoid new gas-fired generation and retire coal units. It also examines the benefits of NB transmission ties and additional wind resources, noting the importance of regional cooperation and infrastructure investment.
capital costs incurred a range of 6.5% to 10.4% of total NPVRR costs in our main scenarios. It is critical to continue to assess the pattern of these costs and project future costs. 5. Establish requirements to allow increased levels of wi...
AI summary The document discusses capital costs and the need to assess their future impact. It also outlines requirements for increasing wind energy on the NSPI system, including infrastructure improvements and coordination with neighboring provinces for reliability with increased wind resource utilization.
and unit commitment requirements needed in association with the Tufts Cove thermal units, to allow appropriate parameterization in Plexos to enable possible economic retirement. Ongoing 8. Identify candidates for the “next” coal retirement...
AI summary The document outlines ongoing tasks related to thermal unit optimization, including identifying candidates for coal retirement after Lingan 2, ranking thermal units by economic performance, and monitoring natural gas price trends in the Maritimes. These actions aim to support economic retirement decisions and long-term planning.
70759Response to Stakeholder Comments on Proposed Terms of Reference - Track
11 passages
I Thermal Resources Through and Possibly Beyond 2030 Synapse Energy Economics July 7August 1, 2017 Introduction The Nova Scotia Utility and Review Board’s May 5, 2017 letter in M08059 - Generation Utilization and Optimization indicated an...
AI summary The Nova Scotia Utility and Review Board requested Synapse Energy Economics to analyze optimal utilization of NSPI’s thermal generation fleet, considering sustaining capital expenditures, storage options, and wind capacity contributions. The study focuses on economic impacts for ratepayers using the Plexos modeling system.
ts illustrated below. Due to time limitations, we will not define scenarios for all possible permutations of input assumptions. Illustrative Matrix: Example of key parameters and range of assumptions Alternative assumptions: Set 1 Set 2 Se...
AI summary The text presents a matrix of alternative assumptions for energy planning parameters, including load, capital requirements, gas prices, transmission, wind resource costs, demand response, storage, carbon costs, and balancing areas. Scenarios explore varying levels of energy efficiency, capital needs, and resource availability.
resource categories are carefully specified for use in Plexos; we anticipate that early provision (July) by NSPI of detailed Plexos input files in Plexos configuration will be of particular value: 4 • Existing coal, oil and gas thermal res...
AI summary The document outlines resource categories for Plexos modeling, including fossil fuels, renewables, storage, transmission, and demand-side management. NSPI will provide detailed input files, with data sources including NREL, US EIA, and others. The load forecast aligns with NSPI's latest projections.
g resource adequacy requirements), or they affect the capacity contributions available from existing and potentially new alternative capacity resources. The eight action items are characterized below: 1. Optimize the level of sustaining ca...
AI summary The document outlines eight action items addressing resource adequacy, including optimizing capital expenditures, studying wind penetration impacts, regional coordination, evaluating wind resources, monitoring market opportunities, assessing demand response, securing DSM commitments, and evaluating Mersey Development. These steps aim to ensure system reliability and capacity contributions.
opportunities. 7. Obtain DSM resource commitments consistent with the IRP analysis. 8. Evaluate options for Mersey Development, and the potential to add 30 MW of capacity to the system. In addition to these IRP action items, continuing red...
AI summary The document outlines IRP action items, including DSM resource commitments and evaluating Mersey Development's 30 MW capacity. It criticizes NSPI for not rigorously analyzing the economic optimality of retaining seven coal units through 2030, citing the 2014 IRP's lack of thorough examination. Renewable energy cost reductions and traditional gas-fired resources are noted as factors affecting coal unit retention economics.
through programmatic efforts to achieve peak demand reduction through demand response options beyond those currently obtained via interruptible industrial load. 2 – Conduct Additional System Studies NSPI has not yet conducted any updates t...
AI summary NSPI must conduct additional studies on wind penetration and transmission support, including dynamic reactive supply and storage. The Board questions NSPI's claim that storage is not cost-competitive. NSPI acknowledges reduced steam unit needs post-2020 but requires further analysis of coal plant retirement scenarios.
question from the Board as part of the 2017 Annual Capital Expenditure Plan (M07745), NSPI indicated that storage options “are not cost competitive” compared to traditional solutions.10 However, this peak demand reduction through DSM, whic...
AI summary NSPI's 2017 Capital Expenditure Plan (M07745) stated energy storage was not cost-competitive. However, demand-side management (DSM) reduced peak demand, creating surplus capacity. An iterative modeling approach could have retired coal units, lowering costs. The GE 2013 wind integration study and Lazard's 2016 storage analysis are referenced, alongside synthetic inertia as a potential grid stability solution.
ain energy storage technologies and use cases are currently in the midst of rapid cost declines that will likely persist.” (Executive Summary, page 3, emphasis added) 3- Regional Coordination Options Continuing regional coordination has sy...
AI summary The text highlights rapid energy storage cost declines, advocates for regional grid coordination among Nova Scotia, New Brunswick, and Newfoundland to enhance wind integration, and critiques NSPI's low wind capacity credit (12%) compared to higher regional benchmarks (20-46%). It emphasizes technical cooperation and operational efficiency gains from shared grid planning.
009 7885 8761 Hours per Year Load Greater than Indicated Value Source: NSPI OASIS, Hourly Load Data, 2016. 14 Based on 600 MW (20% - 12%). A-9 In the most recent load forecast, NSPI projects increasing peak load. In response to the Board’s...
AI summary NSPI discusses load forecasting methods, citing Synapse's report that questions the accuracy of peak load projections. The report recommends refining peak load calculations due to flat historical trends. The text emphasizes the need for a portfolio of alternatives to coal plant retention, balancing renewable integration with reliability and cost considerations.
NSPI’s projected requirements. Any analysis must first rigorously explore the cost and capability of demand side options, and accurately represent their attributes in any capacity expansion exercise. 15 NSPI response to NS UARB IR-2 (b-c)....
AI summary NSPI argues that demand-side options must be rigorously evaluated for cost and capability in capacity expansion. The Board critiques NSPI's example of substituting a combustion turbine for a coal plant as oversimplified, noting variable assumptions and unaddressed locational factors. Supply-side analysis must include updated cost/performance data and address ramping/ancillary service needs from wind and storage integration.
va Scotia’s current system, but also ramping and ancillary service requirements under different scenarios of increased penetration of wind resources and utilization of, for example, storage resources. Supply-side assessment for future year...
AI summary The analysis emphasizes the need to assess winter gas availability from New England, influenced by their greenhouse gas reduction targets, and the implications for Maritimes energy costs. It also highlights the importance of considering storage and wind resource scenarios in supply-side planning.