Horizons Energy has released the Fall 2022 National Database (NDB) for the EnCompass power planning model. The Fall 2022 database reflects prominent elements contained in the Inflation Reduction Act (IRA) to incentivize development of clean energy and storage technologies.
Southwest Power Pool, in conjunction with power sector consultants from 1898 & Co., part of Burns and McDonnell, determined EnCompass power planning software to be an integral component of their planning process. Because EnCompass was utilized for the capacity expansion side of the study and to calculate the carbon tax effectively, SPP ascertained the software as a valuable part of their planning, which led them to bring EnCompass in-house for use in other studies. Their staff presented these results to both SPP work groups, as well as at the recent EnCompass User Group meeting in Arkansas.
Transmission circuits are constructed for a number of reasons including reliability, economics, and public policy. When transmission is constructed for reliability purposes, the circuit, even though labeled for reliability, delivers some level of economics to the grid. The opposite is also true. An economic transmission circuit delivers some degree of reliability. Just as reliability and economics are inseparable, transmission and generation planning should be performed in a unified manner.
Mitigating generator siting risks is crucial. What challenges do analysts face and how do they overcome them? It is imperative to avoid investing millions of dollars in a new generator in a highly congested area or make other siting mistakes. This poses the questions: What type of generation should be constructed? When and where should it be constructed? What should be the maximum output?
Are regional results sufficient or is greater granularity needed? Understand the two types of modeling and when they should be used. Zonal modeling is a high-level perspective of the power planning grid. It examines a region of the country, which could be a state, multiple states, or a portion of a state(s). In grid planning, zonal analysis can be used for timeframes including current day to 30- plus years into the future to forecast generator operations, energy, capacity, and ancillary service prices.
Industry and policy changes occur at a fast rate, how do we address these challenges? Proper resource and market planning is the answer. Software simulations have always served as the foundation of generation and transmission planning in the power industry. Long-term grid planning used to mean looking forward 10 to 20 years. However, today, in some regions, three-year projections are often considered long-term system planning.
Anchor Power Solutions is pleased to announce the release of EnCompass Version 6.2, extending the capabilities of the leading model for resource planning, production costing, market price forecasting, stochastic analysis, and transmission modeling. This release includes several new modeling constraints including annual and weekly limits for transmission flows, unit starts, and hours online.
Join the Anchor Power Solutions team at the annual EnCompass User Group Meeting in Little Rock on October 25-26, 2022 at the Arkansas Electric Cooperative corporate headquarters. Learn how to quantify the possible impact of recently passed federal legislation that could significantly affect your organization’s power projects. Amplify your ability to model emerging technologies, incorporate capacity expansion options and detailed transmission planning. Connect with the information your team needs for specialized and imperative power planning resources.
Continuing the trajectory of state-of-the-art power planning software, Anchor Power Solutions is pleased to announce the release of EnCompass Version 6.0. In addition to several enhanced usability features, this version offers the ability to model seasonal or monthly capacity markets in addition to the traditional annual capacity market.
TVA has selected EnCompass planning software for their resource strategy needs. The Resource Strategy group at TVA had previously managed multiple users accessing multiple databases and running multiple models, some of which were no longer being supported. Process efficiency was suffering due to the complicated logistics of ensuring consistent data and modeling assumptions were being used across the different software platforms and among different users.
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