N-1Report
16 passages
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.
napse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 3 Final Report enhancing investment. As seen in Table 9a, that range of costs is $90 million to $570 million (NPV).4 The illustrative comparisons are...
AI summary The report analyzes NSPI's thermal generation optimization, highlighting that battery cost sensitivity significantly impacts coal unit retirement timelines and battery build decisions. Lower battery costs accelerate coal unit retirements (e.g., 2019 vs. 2027) and increase battery installations, emphasizing the critical role of battery cost analysis in resource optimization.
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.
ission constraints for selected changes to CT and CC costs and availability. They also enabled us to test the effect of selected forced retirements of one Tufts Cove unit and one of the Trenton units. Scenarios An initial set of 30 scenari...
AI summary The analysis explores modeling scenarios for NSPI's thermal generation, including forced retirements of units, sensitivity to battery costs, gas prices, and updated technology costs. It evaluates impacts of relaxing Plexos steam and transmission constraints on build, retirement, and dispatch responses.
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.
Link to flow energy to Newfoundland in winter prior to Muskrat Falls completion, if needed, and with Newfoundland’s agreement to allow recall energy to flow to Nova Scotia during non‐winter months.19 Transmission/Unit Commitment/Reserve Pr...
AI summary The document discusses the constraints related to transmission, unit commitment, and emission limits in NSPI's energy system, including the use of Plexos modeling to ensure compliance with reserve margin requirements and emission standards.
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.
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.
ble 8a below lists the retirement and the build results for the initial scenarios executed; Table 8b lists the retirement and build results for the low battery cost and fuel price sensitivity runs. Synapse Energy Economics, Inc. NSPI Therm...
AI summary The text references tables and figures that outline the retirement and build results for various scenarios, as well as planning reserve margin trends. These scenarios include different levels of demand-side management, battery costs, and fuel price sensitivities, and are part of an analysis related to thermal generation utilization and optimization.
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'.
Ref/NB 13HG Trans/AdditionalWind/ Wind 100 Ret Lin 2 Wind 100 Wind 100 Wind 100 Wind 100 Wind 100 Ret Lin 4 HighGas New CC253 Batt 40 Batt 20 Batt 20 Batt 20 Batt 20 et Ref/NB New Ret Pt 13LG Trans/AdditionalWind/ Wind 100 Ret Lin 2 Wind 1...
AI summary The text appears to be a table or diagram showing various components and connections related to wind power and battery systems, including references to 'Ref/NB', 'Ret Lin', 'CC253 Batt', 'CT100', and 'Batt 20'. These terms may refer to specific projects, components, or locations within a power infrastructure context.
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.
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.
nergy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 52 Final Report 3.6. Sensitivities Low Battery Costs Synapse executed four low battery cost sensitivity runs. The results are presented in Figure 6a and Tabl...
AI summary The analysis explores the impact of varying battery costs and gas prices on energy generation strategies. Four low battery cost scenarios and seven gas price scenarios were modeled, considering system optimization, economies of scale, and the role of battery storage in providing regulation and capacity services.
tion could be established. We anticipate that the Regional Electricity Cooperation and Strategic Infrastructure Investment (RECSI) report will shed more light on options for the Province to consider. 4.2. Recommendations Based on our analy...
AI summary The report recommends next steps for NSPI, including confirming energy efficiency potential, evaluating demand response, investigating battery storage costs, and monitoring sustaining capital costs for the thermal fleet. These steps aim to support the Integrated Resource Planning (IRP) process and ensure accurate modeling of resource options.
N-1-(iii)Generation Utilization and Optimization Final Report Appendix 5.6 REDACTED Confidential Input Assumptions Memo and Additional NSPI Fuel Price Info
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Appendix 5.6 REDACTED CONFIDENTIAL Memorandum TO: M08059 GENERATION UTILIZATION AND OPTIMIZATION STAKEHOLDERS FROM: BOB FAGAN, RACHEL WILSON, DAVID WHITE – SYNAPSE ENERGY ECONOMICS DATE: OCTOBER 16, 2017 RE: KEY INPUT ASSUMPTIONS AND MODEL...
AI summary This memo outlines Synapse Energy Economics' modeling plan for the Generation Utilization and Optimization study, seeking stakeholder input on assumptions related to energy storage, wind/solar costs, and demand-side management (DSM) scenarios. The analysis compares long-term costs of retaining NSPI’s thermal fleet versus alternative resource mixes, though it explicitly states it is not an integrated resource plan (IRP).
s of resources. Our aim is to provide a modeling analysis that shows the costs of retention versus the costs of alternative resource plans that use a different mix of resources to meet capacity needs. The analysis proceeds in an electric s...
AI summary The analysis compares the costs of retaining coal resources versus alternative resource plans, considering declining renewable energy costs, increasing coal costs, infrastructure changes like the Maritime Link, and carbon emission reductions. It evaluates economic viability of coal amid aging plants and uncertain gas prices.
Table 4. Other Variable Values, Performance, Escalation, Comments, and Sensitivity Options Perform Real Cost Comments 2017 Value -ance Escalation Possible Sensitivity Other Variables Source – Costs ($CA) Rate Cases Ave. value peaker replac...
AI summary The table outlines variable costs and sensitivity analyses for battery storage and gas prices. Battery costs (LCOS) for peaker replacement are $541/kWh with a -9% annual escalation, sourced from Lazard 2.0. Gas prices are listed as flat, sourced from NSPI 2017, with sensitivity scenarios including lower escalation rates and duration assumptions.
ive individual years for ST production cost (8760 hour) runs (2020, 2025, 2030, 2035, and 2040). Specific Capacity Resource Options to be Considered in Capacity Expansion/Retirement Analysis The following resource options will be made avai...
AI summary The document outlines resource options for capacity expansion and retirement analysis, including existing thermal plants, renewables, storage, and import capacities. It details parameters for PLEXOS optimization and the baseline resource mix, including NSPI's contributions.
are 50% higher than those costs. Synapse will extrapolate these annual costs for all remaining years of the study period beyond the values available from NSPI in the 2017 outlook report. Key Sources 1. NSPI, 2017 10-Year System Outlook, 20...
AI summary Synapse Energy Economics extrapolates annual generation costs beyond NSPI's 2017 outlook, using higher cost assumptions than NSPI's reported values. The analysis relies on Lazard's energy/storage cost data, EIA gas price projections, and other technical reports for modeling inputs.
69697Synapse Energy Economics - Comments
7 passages
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 text outlines eight action items addressing resource adequacy, including optimizing fossil fuel capital expenditures, conducting wind penetration studies, regional coordination, evaluating wind capacity value, monitoring market opportunities, assessing demand response, securing DSM commitments, and evaluating Mersey Development. These focus on reliability, transmission, and renewable integration.
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 proposes demand response beyond interruptible industrial load for peak reduction but lacks updated studies on wind penetration and transmission support. Storage options are deemed non-competitive based on Levelized Electricity Cost to Grid, though broader system reliability and coal plant retirement scenarios require further analysis.
ge options “are not cost competitive” compared to traditional solutions.6 However, this conclusion was based on an assessment of the Levelized Electricity Cost to Grid,7 and did not capture the value analysis (e.g., during the 2020s). An i...
AI summary The text discusses the cost competitiveness of renewable energy options, referencing the GE wind integration study and Lazard's storage analysis. It notes that the GE study is outdated and that synthetic inertia could replace traditional support. An iterative modeling approach could reduce costs in future IRPs but wasn't used due to time constraints.
zed‐cost‐of‐ storage‐v20.pdf, and the Executive Summary is also available at https://www.lazard.com/media/438041/lazard‐ lcos‐20‐executive‐summary.pdf. 6 Response to NS UARB IR‐37, M07745. 7 Ibid. 5 associated with using storage resources...
AI summary The text critiques the use of levelized cost of energy (LCOE) for evaluating energy storage, arguing it misrepresents storage's value by ignoring capacity and flexibility. It references studies from EPRI and Lazard, noting significant cost declines in lithium-ion technologies for storage applications.
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 12% wind capacity credit compared to higher regional benchmarks (20-46%). It emphasizes technical cooperation and grid modernization for efficient wind resource planning.
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. 11 NSPI response to NS UARB IR‐2 (b‐c)....
AI summary NSPI emphasizes rigorous analysis of demand-side options for capacity expansion, critiques its own example of substituting a combustion turbine for a coal plant as oversimplified, and stresses the need for updated assumptions in supply-side alternatives. The analysis must address ramping requirements and wind resource 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 examines Nova Scotia’s energy system under increased wind penetration and storage utilization, emphasizing winter gas availability from New England. New England’s GHG reduction targets may lower natural gas prices in the Maritimes, impacting supply-side planning. Attachments include studies on storage costs and grid adequacy.
69698Synapse Energy Economics - Att. 1
6 passages
LAZARD’S LEVELIZED COST OF STORAGE ANALYSIS 2.0 KEY FINDINGS Lazard has published its second Levelized Cost of Storage Analysis (“LCOS 2.0”), 1 an in-depth study that compares the costs of various energy storage technologies for particular...
AI summary Lazard's LCOS 2.0 analysis highlights that while certain energy storage technologies are becoming more viable for specialized grid applications, they remain uncompetitive for large-scale renewable energy transitions. Cost reductions are expected due to scaling, standardization, and technological advancements, driven by regulatory innovations and grid modernization needs.
hnologies are increasingly attractive for a number of specialized power grid uses, but none are yet cost-competitive for the transformational scenarios envisioned by certain renewable energy advocates • Although energy storage technology h...
AI summary Energy storage technologies are not yet cost-competitive for large-scale renewable energy transformation scenarios but show value in grid strengthening (e.g., frequency regulation) and reducing commercial/industrial demand charges through demand response programs.
er sources of value for commercial and industrial energy users through reducing utility bills (e.g., lowering demand charges) and/or participating in demand response programs • Today, energy storage appears most economically viable in use...
AI summary The text highlights energy storage's economic viability in use cases requiring power capacity and flexibility (e.g., frequency regulation, demand charge management) rather than energy density or duration. It notes that increasing discharge duration is more costly than enhancing peak output, which explains why transformational use cases like full grid defection remain economically unattractive due to higher energy duration requirements.
ented uses. The LCOS analysis identifies 10 “use cases,” and assigns detailed operational parameters to each. This methodology enables meaningful comparisons of storage technologies within use cases. 1 • The preceding observation highlight...
AI summary The LCOS analysis evaluates energy storage across 10 use cases, emphasizing the role of regulatory frameworks and market structures in determining economic viability. Unlike generation, storage systems can perform multiple functions, with their returns depending on incentives and regional power market dynamics.
s. Our analysis indicates that the standalone economic viability of individual energy storage units depends on market structure, incentives and regional power market fundamentals • Further, although wide variation in cost is expected in an...
AI summary The economic viability of energy storage depends on market structure, incentives, and power market fundamentals. Industry participants project significant cost declines over five years due to renewable energy growth, government policies, and grid modernization. These declines are expected to create economies of scale, enabling wider renewable deployment and further innovation, though projections vary by technology (e.g., lithium vs. flow/lead batteries).
tal cost declines of ~40% over the next five years, while flow and lead batteries are expected by some to experience roughly comparable five year battery capital cost declines 2 • Further, our current analysis indicates that the midpoint l...
AI summary The text discusses rapid declines in lithium-ion battery levelized costs (~12-24% since last year) and projected 40% reductions over five years, driven by manufacturing improvements. It highlights that battery-centric use cases will see faster cost declines and potential displacement of gas-fired peaking generation by energy storage technologies.
69699Synapse Energy Economics - Att. 2
17 passages
Energy Storage Cost Summary for Utility Planning: Executive Summary 3002008877, November 2016 EPRI Project Managers G. Damato E. Minear © 2016 Electric Power Research Institute, Inc. All rights reserved. DISCLAIMER OF WARRANTIES AND LIMITA...
AI summary This document, dated November 2016, provides an executive summary on energy storage costs for utility planning. It was prepared by the Electric Power Research Institute (EPRI) with project managers G. Damato and E. Minear. The text includes a disclaimer of warranties and limitations of liability related to the use of the document's content.
cribes research sponsored by the Electric Power Research Institute (EPRI). 3 © 2016 Electric Power Research Institute, Inc. All rights reserved. Abstract This an executive summary of a report that was prepared as a utility resource for pla...
AI summary This executive summary discusses research on energy storage costs and valuation methods, emphasizing the need for accurate cost metrics and pre-determined value assessments to avoid misleading comparisons with conventional generation or 'wires-based' alternatives. The report highlights risks of oversimplified duty cycle assumptions in planning and investment decisions.
-Benefit Analysis 5 5 © 2016 Electric Power Research Institute, Inc. All rights reserved. Description of Contents Introduction This cost summary was developed to support utility resource planners in their understanding of energy storage co...
AI summary This document provides a cost summary for energy storage technologies, emphasizing the need to consider both power and energy ratings in cost evaluations. It outlines methodology and results, including 2017 reference year data for lithium-ion systems.
ions for the various technologies and an example of a detailed breakdown of lithium ion system costs that were also collected in this study. The costs are based on a 2017 reference year for Cost Metrics installation. Future cost projection...
AI summary The text discusses a 2017 study on energy storage costs, focusing on lithium-ion systems and cost metrics. It notes that future cost projections beyond 2017 were excluded, but EPRI research suggests battery costs will decline. The document outlines cost-benefit analysis and methodology for evaluating storage technologies.
Introduction To support depth of analysis, technology scope was limited. Technologies were prioritized based on the following criteria Methodology – Maturity of technology and derivative products Cost – Substantial recent changes in co...
AI summary The analysis evaluates energy storage technologies (CAES, Pumped Hydro, Lead Acid, Lithium Ion, NaS, Flywheel) based on maturity and cost changes. The scope aligns with EPRI Technology Assessment Guides but excludes contingencies, focusing on cost metrics and benefit analysis for selected technologies.
were not included in this study. 9 © 2016 Electric Power Research Institute, Inc. All rights reserved. Data Collection Approach and Process Introduction Initial cost ranges developed by EPRI project experience and previous studies. Range...
AI summary The text outlines EPRI's methodology for estimating energy storage costs, including initial ranges refined by industry input and detailed lithium-ion cost breakdowns for three use cases. Pumped Hydro and CAES costs are based on EPRI studies and internal validations.
Analysis 10 © 2016 Electric Power Research Institute, Inc. All rights reserved. Scaling Factors for Energy Storage Costs Introduction Installed costs for energy storage scale two dimensions: – Power-related costs ($/kW or $/MW) scale by...
AI summary The document analyzes how energy storage costs scale with power and energy dimensions. Installed costs depend on rated capacity (power-related) and energy reservoir size (energy-related). The study uses recent project data to evaluate cost metrics, emphasizing $/kW for comparison with generation options while addressing scaling impacts.
d on similar-sized projects that have been built recently or are under current development, in order to access more up-to-date data than are available at present for other technologies. Also, Cost-Benefit sizes help to provide some compara...
AI summary The document summarizes 2017 energy storage installed costs, noting declining trends for battery-based technologies like lithium-ion. It emphasizes overnight installed cost assumptions and references EPRI as the copyright holder.
nd assumes overnight installed costs. Suppliers and publicly available studies indicate continuing trend of cost decline for battery- based storage technologies, particularly lithium-ion. Cost-Benefit Installed costs exclude land costs...
AI summary The text discusses energy storage installed costs in 2017, noting declining battery costs (especially lithium-ion) and clarifying that installed costs exclude land, ownership, and contingency expenses. It details cost breakdowns for lithium-ion systems, including ESS products and site integration components.
systems, pre-engineered racks and containers – Site and Grid Integration encompasses remaining costs such as grid integration equipment, installation, engineering and Results Cost project management – Fees, General and Administrative (G&A)...
AI summary The text outlines cost metrics for energy storage systems, including project management fees, general and administrative (G&A) costs assumed at 10% of total project cost, and references to balance of plant costs and system size examples (e.g., 20MW, 4-hour systems). It cites the Technology Assessment Guide and a full report for detailed cost breakdowns.
energy storage costs 16 © 2016 Electric Power Research Institute, Inc. All rights reserved. Metrics Used for Storage Cost Comparison Introduction There are currently several metrics for measuring the cost of energy storage systems. Due to...
AI summary The document discusses metrics for comparing energy storage costs, emphasizing the importance of understanding different cost metrics and their applications. It references the Electric Power Research Institute, Inc. (EPRI) in its copyright notice.
Analysis 17 © 2016 Electric Power Research Institute, Inc. All rights reserved. Metrics (Continued) Introduction Installed Cost ($) includes all equipment, delivery, installation, interconnection and step-up transformers. This metric assum...
AI summary The text defines 'Installed Cost' as covering equipment, delivery, and installation but excluding land and planning costs. It explains 'Levelized Cost of Capacity' as a lifecycle metric for generators, including variable off-peak charging costs for storage, while excluding operational benefits. Both metrics focus on capital and lifecycle costs without accounting for long-term income or replacement expenses.
charging costs which may change over time. Consistent with usage when applied to conventional generation, this metric does not incorporate any benefits or revenue obtained from storage operation. Results Cost Present Value of Life-Cycle Co...
AI summary The text discusses cost metrics for energy storage and electricity generation, including Present Value of Life-Cycle Costs, Levelized Cost of Electricity (LCOE), and Total Cost of Energy Storage (TCOES). These metrics account for fixed and variable costs over time, including installation, operations, and replacement, but exclude benefits from storage operations.
Cost-Benefit project, and has units $/kWh or $/MWh delivered. “Present value” means that costs accrued and energy Analysis delivered in future years are “discounted” into present day equivalent values. LCOE is a simple and attractive metri...
AI summary Discusses Levelized Cost of Electricity (LCOE), cost-benefit analysis, net cost considerations, and comparison of capacity costs between benchmark generators and energy storage, referencing the Electric Power Research Institute (EPRI). Highlights present value calculations and energy storage cost evaluations.
Cost Cost ? Net Benefit Cost Net Cost Net Cost Results Cost Instead of full cost of resources… …Compare net cost of resources Cost Metrics • When analyzing the economics of an energy storage plant, it is important to understand not only th...
AI summary The text emphasizes the need for revised economic analysis frameworks for energy storage, highlighting that traditional cost metrics (e.g., upfront installed costs) inadequately capture storage's value. It stresses the importance of evaluating net market value, operational costs during charging/discharging, and grid services like displacing high-cost generation with low-cost electricity.
Cost-Benefit relatively low-cost (i.e., off-peak) electricity, displacing higher-cost (i.e. on-peak) generation, Analysis providing ancillary services, and supporting grid resiliency and security. Cost of new capacity is full installed cos...
AI summary The text discusses the cost-benefit analysis of energy storage, highlighting its ability to utilize low-cost off-peak electricity, displace higher-cost on-peak generation, and provide grid resiliency. It references EPRI resources like the StorageVET™ tool and cost-effectiveness studies for California.
Analysis 21 © 2016 Electric Power Research Institute, Inc. All rights reserved. Full Report Forthcoming Energy Storage Cost Summary for Utility Planning. EPRI, Palo Alto, CA, 2016. 3002008876. For more information visit www.epri.com 22 © 2...
AI summary The document references EPRI's 2016 energy storage cost summary report for utility planning, citing multiple EPRI publications on energy storage technologies and cost templates. It highlights EPRI's role in researching electricity generation, delivery, and use, emphasizing reliability, efficiency, and affordability.
70411Proposed Terms of Reference
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resources, including fixed and variable O&M and any required sustaining capital, and the costs of fuel. If applicable, emission costs. 3 • Existing hydro and wind resource output profiles and operating costs, including fixed and variable O...
AI summary The text outlines the evaluation of resource costs for existing and new generation sources (hydro, wind, biomass, fossil, renewables), transmission reinforcement, and demand-side management, emphasizing data from NSPI and external sources like NREL and US EIA. Emission costs and storage resource costs are also considered.
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 has not conducted updated studies on wind penetration or transmission system support needs for higher wind integration. It acknowledges reduced steam unit requirements by 2020 but emphasizes the need for further analysis on coal plant retirement scenarios. Storage alternatives were discussed but deemed 'not cost competitive' based on Levelized Electricity Cost to Grid assessments.
options “are not cost competitive” compared to traditional solutions. 9 However, this conclusion was based on an assessment of the Levelized Electricity Cost to Grid, 10 and did not capture the value analysis (e.g., during the 2020s). An i...
AI summary The text discusses the cost competitiveness of energy solutions, noting that some options are not cost-effective based on Levelized Electricity Cost to Grid assessments. It highlights the potential of iterative modeling to reduce costs and references studies on synthetic inertia and energy storage. The GE 2013 wind integration study and Lazard's LCOS 2.0 analysis are cited as key resources.
d-cost-of- storage-v20.pdf, and the Executive Summary is also available at https://www.lazard.com/media/438041/lazard- lcos-20-executive-summary.pdf. 9 Response to NS UARB IR-37, M07745. 10 Ibid. A-5 associated with using storage resources...
AI summary The text critiques the use of levelized cost of energy (LCOE) for storage, arguing it misrepresents storage's value by ignoring capacity and flexibility. It highlights a Lazard study showing lithium-ion storage costs have decreased by 11-24% across use cases, with further declines expected.
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 declines in energy storage costs, 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 grid modernization for reliability and decarbonization.
ents must continue to be carefully examined; if Nova Scotia was to use a capacity credit of 20% 11 EPRI, Energy Storage Cost Summary for Utility Planning:Executive Summary, November 2016, page 17. Available at http://www.tdworld.com/sites/...
AI summary The text discusses the potential of wind resources with a 20% capacity credit, referencing an EPRI report on energy storage costs. It highlights the need to explore import capacity via the Maritime Link and assess firm purchase arrangements to address resource adequacy shortfalls. Additionally, it emphasizes the importance of demand response and DSM programs in meeting resource adequacy needs.
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 text discusses the need for supply-side assessments considering increased wind penetration and energy storage, as well as the potential for more economical winter gas availability from New England due to regional greenhouse gas reduction targets. Attachments include studies on storage costs and grid adequacy.
70759Response to Stakeholder Comments on Proposed Terms of Reference - Track
6 passages
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.
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.
-levelized-cost-of- storage-v20.pdf, and the Executive Summary is also available at https://www.lazard.com/media/438041/lazard- lcos-20-executive-summary.pdf. 10 Response to NS UARB IR-37, M07745. A-9 conclusion was based on an assessment...
AI summary The response critiques the use of Levelized Cost of Energy (LCOE) for storage, arguing it fails to capture value from regulation/frequency response and capacity flexibility. It cites EPRI and Lazard studies showing declining lithium-ion costs, emphasizing current rapid cost reductions.
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.
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.
74454NSPI's comments on Synapse Report - Redacted
6 passages
1. Confirm costs and achievable potential NS Power supports this recommendation. for incremental energy efficiency. As seen, NS Power believes that a new DSM energy efficiency displaces higher cost potential study should be completed to en...
AI summary NS Power supports recommendations to evaluate energy efficiency displacement of costly energy sources, develop cost curves for demand response, assess bulk battery storage economics, and monitor thermal fleet capital costs. The IRP must incorporate these analyses through transparent UARB processes.
respecting these issues. Conclusion The Synapse Report confirms that it is cost-effective to customers to retain NS Power’s thermal fleet through 2030, and possibly beyond. As stated above, NS Power’s comments are not to be taken as an end...
AI summary The Synapse Report concludes retaining NS Power’s thermal fleet through 2030 is cost-effective. NS Power acknowledges the report addresses the Board’s original questions but disputes its assumptions and modeling. They oppose a hearing on the report, advocating instead for proceeding to the next IRP and implementing the report’s nine recommendations.
bon reduction requirements, federal equivalency and the operation of the Maritime Link. With regard to the study framework proposed by Synapse, the Company suggests consideration of the following: • Whether the period of study needs to be...
AI summary Nova Scotia Power (NSP) questions Synapse's proposed 25-year study framework, raising concerns about resource availability (e.g., NB transmission, battery storage), uncertainty in federal/provincial regulations, and the need for clarity on DSM program selection criteria. NSP also notes the Board's planned 2018 DSM hearing and lack of reference plan criteria.
at it would provide more up to date information as it completed this work. The most recent update to this information is provided below in Figure 4. ii) NS Power notes that some of the proposed cost escalation rates (e.g. - 9%/year for bat...
AI summary NS Power challenges proposed 9%/year battery cost escalation rates over 25 years as unrealistic, advocating for cost trend curves instead. It also critiques Lazard 2.0's Levelized Cost of Storage metric, arguing it should be replaced with 'Total Installed Cost' and operating parameters for accurate Plexos modeling.
REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED - Appendix A NSPI to Synapse GU&O Final Report Page 9 of 9 Figure 4: Updated Costs & Trends for New Resources Resource Type (2017) Capital Cost (2017) Fixed Percent Change ($/kW) Cost ($...
AI summary The document includes a cost trend analysis for energy resources (e.g., solar, wind, battery storage) showing significant cost reductions by 2030, and a letter from Nova Scotia Power Inc. (NSPI) responding to Synapse Energy Economics' draft report on a Generation Utilization and Optimization study under matter M08059.
h 28, 2018, page 1‐2. Page 4 of 9 REDACTED (CONFIDENTIAL INFORMATION REMOVED) April 18, 2018 Appendix B - NSPI Response to Synapse GU&O Technical Conference Page 5 of 9 D. Friis remain so, for the next decade and beyond. The “planning wind...
AI summary NSPI emphasizes the need for updated resource planning assumptions for the next IRP, including renewable/non-renewable generation costs, battery technologies, and DSM potential studies. It challenges Synapse's recommendation to retire a second unit, noting minimal NPV impact from forced retirements.