Platform overview

An Integrated Platform for Holistic System Analysis

Acelerex Grid Analytics is a commercially available simulation platform that unifies your entire workflow—from long-term resource planning to sub-hourly operational analysis.

Move beyond disconnected spreadsheets and legacy software. Model your system once within our enterprise database and apply a suite of powerful, interoperable modules to answer your most complex questions. By combining advanced optimization, AI-based forecasting, and massively parallel cloud computing, Grid Analytics delivers the accurate, actionable insights you need to make critical investment and operational decisions.

image of smart home energy management systems

Alternative Analysis &
Capacity Expansion

Solve multi-year optimal capacity planning challenges to ensure resource adequacy and meet decarbonization goals. Determines the ideal timing, technology type, and location of new resource additions by minimizing total system cost (CAPEX and OPEX) while satisfying planning reserve margins and operational constraints.

Multi-year optimization for long-term resource expansion (25+ years).
Models all resource types: Thermal, Renewables, BESS, DR, EE, and DG.
Enforces planning reserve margin (PRM) and reliability metrics (LOLE, LOLP, EUE).
Advanced renewable clustering algorithms for accurate variable resource representation.
Co-optimizes capital investments with operational costs, including fuel and cycling.
Outputs detailed build plans, LCOE calculations, and augmentation strategies.

Nodal Production Cost Modeling

Execute detailed, chronological simulations of wholesale market operations to forecast prices, analyze congestion, and optimize dispatch. Our co-optimization engine models the dispatch of all resources to meet energy and ancillary service requirements on an hourly or sub-hourly basis, respecting all physical and economic constraints.

Chronological, co-optimized dispatch of energy and ancillary services.
Accurate nodal price forecasting (LMPs) and basis analysis.
Models detailed unit constraints: ramp rates, min up/down times, and cycling limits.
BESS modeling includes state-of-charge management, daily cycling restrictions, and aging effects.
Analysis of distribution hosting capacity and grid congestion drivers.
Generates detailed dispatch schedules, cost breakdowns, and price duration curves.

Stacked Services Emulator (SSE)

Accurately forecast asset revenue and optimize market participation strategies for generation, storage, and hybrid projects. The SSE ingests energy and ancillary service price forecasts to simulate the profit-maximizing dispatch of an asset. Evaluate multiple market nodes, sizing configurations, and revenue stacking strategies to determine optimal project economics (NPV, IRR).

Simulates dispatch for Energy Arbitrage, Ancillary Services, Renewable Shifting, and Peak Shaving.
Hourly and sub-hourly profit maximization logic for standalone and co-located assets.
Detailed breakdown of revenues, costs, and profits per stacked service.
Models BESS capacity fading, augmentation, and warranty constraints.
Market models for all US & Canadian ISOs/RTOs and other global markets.
Automated multi-year revenue forecasting and project sizing tools.

Energy & Ancillary Price Forecasting

Generate accurate short- and long-term price forecasts essential for project valuation, asset dispatch, and fuel budgeting. Our module combines a fundamentals-based production cost model with the econometric method of Implied Heat Rate (IHR) to produce granular forecasts for any node in the system.

Forecasts for Capacity, Energy (hub & nodal), and Ancillary Service markets.
Massively parallel architecture enables simultaneous forecasting for thousands of nodes.
Flexible input options: Use the Acelerex Data Warehouse or upload custom fuel and demand profiles.
Seamless integration with the Stacked Services Emulator for revenue evaluation.
Generates hourly or sub-hourly price series for 25+ year horizons.

Grid Reliability & Power Flow

Perform critical studies to ensure grid stability and quantify the reliability contribution of all resource types. Acelerex algorithms compute the Expected Load Carrying Capability (ELCC) for thermal, renewable, and hybrid power plants. Integrate traditional power flow and stability analyses within the same platform for a comprehensive view of grid performance.

ELCC calculation using advanced clustering and co-optimized dispatch models.
Reliability metrics including Loss of Load Expectation (LOLE), Loss of Load Probability (LOLP), and Expected Unserved Energy (EUE).
AC/DC Optimal Power Flow (OPF) for congestion and loss analysis.
Short circuit and fault analysis.
Transient stability modeling to analyze grid response to disturbances.