ENELYTIX® Platform
ENELYTIX®
PSO Engine
Power Systems Optimizer (PSO) is an industrial strength engine for power systems and markets optimization and simulation. PSO is built by experts behind the design of Market Modeling Systems of the world largest electricity markets and offers unmatched solution speed, reliability, solution resiliency and scalability.
PSO engine supports optimization of system expansion, deterministic and stochastic security constrained unit commitment and economic dispatch (SCUC & SCED), optimized energy conversion (P2X), high fidelity resource adequacy, and co-optimized gas-electric operations.
PSO pioneering decision cycle modeling bridges the gap between planning and operational models and captures the operational and economic benefits of energy system flexibility, reliability and resilience.
ENELYTIX®
ENELYTIX® SaaS
ENELYTIX® SaaS is a game changing environment for modeling energy systems and markets. ENELYTIX® dramatically amplifies the contribution modelers make to their organization through:
ENELYTIX®
ENELYTIX® Ready-to-run Data
US and Canada
ENELYTIX® Ready-to-run (RTR) Data cover all three interconnections serving United States and Canada. All data are assembled from a variety of public sources, have been verified and to the extent necessary supplemented with internal research. Nodal representations are based on MMWG power flow cases for Eastern Interconnection, SSWG for ERCOT and ADS models for WECC. Delivered RTR models include three transmission topology representations – current, near-term and long-term. Nodal datasets are available for various combinations of Balancing Authorities ranging from an individual region to a combined nodal model of all three interconnections.
Europe
ENELYTIX® offers RTR datasets for European countries including all the European Union, Great Britain, Switzerland and Norway. European data are assembled from the variety of public sources, verified and to the extent necessary supplemented with internal research.
ENELYTIX®
ENELYTIX® Weather
Correctly reflecting correlated weather driven behavior of energy systems is essential for planning and operational support. Weather impact must be represented through a large set of scenarios properly reflecting special and temporal correlations of weather dynamics. ENELYTIX® Weather provides multiple ready-to-use asset-level detailed planning scenarios of weather-driven processes in power systems. Each scenario represents a historical weather year.Scenarios are meticulously built using historical weather data, engineering models, and thorough calibration to historical data on asset performance.
ENELYTIX®
Emission Accounting
ENELYTIX® modeling of the electric system supports both Scope 1 and Scope 2 emission accounting. Scope 1 accounting is supported through modeling of direct emissions released by various generation technologies. For Scope 2 accounting, ENELYTIX® relies on the concept of Locational Marginal Emission Rates (LMERs). Introduced over a decade ago is gaining interest by large energy buyers seeking efficient decarbonization solutions focusing on the measurable effects of their strategy on carbon emission reduction. LMERs are a physically and mathematically accurate, reliable, and transparent way to quantify carbon emissions at any specific grid location at any point in time.
ENELYTIX®
Gas-Electric Co-optimization (GECO)
Gas-Electric Co-Optimization (GECO) is the modeling environment for realistic simulation and co-optimization of multi-day and intra-day operations of the electric and natural gas networks. Electric systems are modeled using optimization engine performing Security Constrained Unit Commitment and Economic Dispatch (SCUC and SCED). Natural gas systems are modeled using dynamic optimization of compressible flows of gas within the pipeline network.
GECO can realistically assess physical impact of day-ahead scheduling and real-time dispatch of gas-fired electric generators on the operation of natural gas pipelines serving these generators. Similarly, the modeling can assess and anticipate day-ahead and real-time demand for natural gas of connected generating units and pipeline’s ability to meet that demand day-ahead and in real-time.
