Topic:"Generation Grid Resources" in M08059

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.

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.

g Reserve Margin Trends by Scenario –Low Battery Price Sensitivities Planning Reserve Margin Low Battery Cost Sensitivity Runs 45.0% 40.0% 35.0% 30.0% 25.0% 20.0% 15.0% 10.0% 5.0% 0.0% 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028...

AI summary The text presents reserve margin trends under different scenarios, including low battery price and gas price sensitivities, with various planning scenarios such as Sc1LB, Sc8LB, Sc13LB, Sc26LB, and Sc1 Ref, indicating analysis of energy planning and resource 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 20 Batt 20 Batt 20 Batt 20 Batt 40 Batt 20 Batt 20 Med 8 DSM/HighWindCapCre Wind 100 Ret Lin 2 Ret Lin 4 dit Batt 80 Ref/NB 13 Wind 100 Ret Lin 2 Wind 100 Wind 100 Wind 100 Wind 100 Wind 100 Ret Lin 4 Trans/AdditionalWind New CC253 Ba...

AI summary The text contains a table with various technical terms and abbreviations related to energy systems, including references to DSM (Demand-Side Management), Wind 100, Ret Lin 2, Ret Lin 4, and CC253, which may relate to infrastructure planning and generation resources.

Batt 20 Batt 20 Ret Lin 4 Ret Lin 3 New New Ret Tren 5 25 Ref/RetirePath1 Ret Lin 2 CT100 CT200 Ret Lin 1 New CC253 Wind 100 Wind 100 Wind 100 Wind 100 Wind 100 New Wind 100 New CT100 CC253 Batt 20 Batt 20 Batt 40 Batt 20 Batt 20 Ret Lin 4...

AI summary The text outlines a visual representation of a power system, including components such as wind generation, transmission lines, and transformers. It references the retirement of certain lines and the addition of new components like CT100 and CC253, suggesting a reconfiguration or upgrade of the grid.

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'.

Batt 100 Batt 40 100 Ret Batt 40 New 1HG Ref/HighGas Wind 100 Ret Lin 2 New CC253 Ret CC253 Batt 20 Batt 20 Batt 20 Batt 20

AI summary The text appears to be a diagram or schematic related to energy infrastructure, showing components such as batteries, wind generation, and transmission lines, along with references to projects like CC253 and components like CT100 and CT200.

CC253 Batt 20 Batt 20 Batt 20 Batt 20 Ret Pt 1LG Ref/LowGas Wind 100 Ret Lin 2 Tupp Batt 20 Batt 20 New CC253 New CC253 Batt 60 Ret Batt 20 Batt 40 Ret Batt 20 Ret Pt 2LG MedDSM/LowGas Wind 100 Ret Lin 2 New Ret Lin 4 Tupp Ret Batt 20 Gas...

AI summary The document text appears to be a technical diagram or table related to energy systems, possibly showing components such as batteries, wind generation, and gas price sensitivities. It includes references to 'CC253' and 'Batt 20', suggesting a focus on energy infrastructure and resource planning.

Wind 100 New CC253 New CC253 Batt 20 Batt 20 Batt 20 Batt 20 Ret Tf Cv3 Tufts Cove 3 / Trenton 5 Forced 1TC3 Ref/RetireTuftsCove3 Wind 100 Ret Lin 2 New CC253 Ret Batt 20 Ret Batt 60 Batt 20 Batt 60 Batt 20 Batt 20 Batt 60 Batt 20 Retireme...

AI summary This document text appears to be a visual or diagrammatic representation of power system components and their retirement or replacement, including wind turbines, battery systems, and transmission lines, with references to specific projects like 'New CC253' and 'Ret Tf Cv3'.

Batt 20 New CC253 New CC253 Batt 20 Ret Batt 20 Batt 20 Batt 40 Batt 20 Batt 20 MedDSM/REtireTuftsC 2TC3TR5 Wind 100 Ret Lin 2 Ret Tf Cv3 Ret Tren 5 Ret Lin 4 Ret Batt 60 ove3/RetireTrenton5 Batt 60 Batt 20 New CC253 Batt 100 Ret Batt 20 S...

AI summary The document includes a table with various components and abbreviations related to energy infrastructure and a reference to a final report by Synapse Energy Economics, Inc. on NSPI Thermal Generation Utilization and Optimization under matter number M08059.

on and Optimization M08059 43 Final Report Table 11: Capacity Factors – Thermal Fleet Scenario 1, Reference Case

AI summary The document presents a table titled 'Capacity Factors – Thermal Fleet' under Scenario 1, Reference Case, as part of the proceeding related to on and optimization matter M08059.

Capacity Factors ‐ Thermal Units 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 01 ‐ 30% 43% 30% 24% 23% 24% 17% 15% 13% 11% 12% 17% 3% 4% 6% 15% 22% 11% 20% 12%...

AI summary The text presents a table showing capacity factors for various thermal units from 2018 to 2042, with percentages indicating performance over time. Units like Lingan 1, Lingan 2, and others show varying levels of capacity factors, some declining over time while others fluctuate.

Capacity Factors ‐ Thermal Units 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 01 ‐ 31% 41% 28% 23% 17% 21% 31% 14% 9% 14% 14% 19% 5% 19% 22% 17% 23% 10% 26% 17...

AI summary The text presents a table outlining capacity factors for various thermal units from 2018 to 2042, showing the percentage of capacity utilized over time for different power generation units such as Lingan 1, Lingan 2, Lingan 3, Lingan 4, Aconi Point, Tupper Point, Trenton 5, and Trenton 6.

New CC ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ New CT Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 45 Final Report Table 13: Capacity Factors – Thermal Fleet Scenario 16, NB Transmiss...

AI summary The document presents a table titled 'Capacity Factors – Thermal Fleet' under the scenario 'Scenario 16, NB Transmission, High Wind Capacity Credit, 600 MW Wind' from the NSPI Thermal Generation Utilization and Optimization proceeding (M08059).

Capacity Factors ‐ Thermal Units 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 01 ‐ 34% 41% 30% 23% 21% 37% 44% 32% 28% 29% 29% 30% 20% 25% 20% 20% 21% 15% 22%...

AI summary The text presents capacity factors for various thermal units from 2018 to 2042, showing varying percentages for each unit over time. This data is relevant for understanding the performance and reliability of different power generation units.

New CC ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ New CT Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 46 Final Report Table 14: Capacity Factors – Thermal Fleet Scenario 17, Medium DMS,...

AI summary The document presents a table titled 'Capacity Factors – Thermal Fleet' from a report on NSPI Thermal Generation Utilization and Optimization, under Scenario 17, which includes Medium DMS, NB Transmission, and High Wind Capacity Credit.

Capacity Factors ‐ Thermal Units 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 01 ‐ 40% 43% 31% 23% 23% 31% 36% 36% 27% 29% 33% 30% 27% 21% 19% 23% 23% 13% 24%...

AI summary The document presents capacity factors for various thermal units from 2018 to 2042, showing fluctuations in performance over time for units such as Lingan 1, Lingan 2, Aconi, Tupper, and Trenton 5 and 6. These factors indicate the percentage of time each unit was operational during the given years.

- - - - - - - - - - - - - - - - - - - - - - - - - New CT Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 A.5.4-8 Appendix Table 8: Capacity Factors – Thermal Fleet Scenario 14, Medium DMS, NB Tran...

AI summary The document references an analysis of thermal generation capacity factors under Scenario 14, Medium DMS, NB Transmission, conducted by Synapse Energy Economics, Inc. for NSPI's Thermal Generation Utilization and Optimization (M08059). Appendix Table 8 details capacity factors for the thermal fleet.

- - - - - - - - - - - - - - - - - - - - - - - - - New CT Synapse Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 A.5.4-11 Appendix Table 11: Capacity Factors – Thermal Fleet Scenario 25, Retirement Path

AI summary The document presents an appendix table titled 'Capacity Factors – Thermal Fleet' under the scenario 'Scenario 25, Retirement Path' from the proceeding M08059, which involves NSPI Thermal Generation Utilization and Optimization.

Energy Economics, Inc. NSPI Thermal Generation Utilization and Optimization M08059 A.5.4-11 Appendix Table 11: Capacity Factors – Thermal Fleet Scenario 25, Retirement Path

AI summary This document presents an appendix table titled 'Capacity Factors – Thermal Fleet' under Scenario 25, Retirement Path, which is part of a study conducted by Energy Economics, Inc. for NSPI on thermal generation utilization and optimization.

ce for NSPI customers. A portfolio of alternatives, rather than a single substitution of new capacity for coal plants,12 is likely the lowest cost among competing alternatives to coal plant retention. We suggest a rigorous analytical appro...

AI summary The text advocates for a portfolio approach to coal plant alternatives, emphasizing cost-effectiveness through demand-side management and advanced modeling tools like PLEXOS. It stresses the need to evaluate both supply-side and demand-side options, including energy efficiency and demand response, while accounting for greenhouse gas reduction values in capacity expansion analyses.