As the energy landscape continues to evolve, Acelerex’s Grid Analytics Software Suite provides a comprehensive platform for analyzing complex energy transition challenges and driving strategic decision-making. This state-of-the-art solution includes three sophisticated tools—Alternative Analytics (AA) for least-cost grid expansion with a load forecasting sub-module, Nodal Production Cost (NPC) for network planning and optimization, and the Stacked Services Emulator (SSE) for system operation simulation and economics. In addition, the Acelerex software has technical calculations of AC power flow, short circuit, and transient stability. Together, these tools deliver actionable insights for capacity optimization, grid expansion, system optimization, cost optimization, and financial planning.
Acelerex’s Grid Analytics Software Suite employs cutting-edge analysis and methodologies to support energy transition initiatives.
All over the world, electric grids are being strained by increasing amounts of non-dispatchable, renewable energy. As solar PV installations expand, island nations can experience a net demand curve similar to California’s "duck curve," dubbed the "Dodo Bird Curve" in this context. During peak solar production hours, demand on base load generators will dip significantly, causing potential operational challenges. These include managing excess generation, curtailing solar output, and addressing rapid changes in power supply during sunrise and sunset ramping periods.
Acelerex’s integrated approach synthesizes client-provided data with advanced modeling techniques to:
By leveraging these tools, policymakers and investors gain access to high-quality insights that drive strategic planning and investment decisions. Whether optimizing grid infrastructure or ensuring cost-effective integration of renewable energy sources, Acelerex’s software suite provides the robust analytical foundation needed to navigate the complexities of the energy transition.
The three tools work in harmony to address different aspects of energy transition planning:
Together, these tools provide a holistic framework for evidence-based decision-making in policy development and investment planning, paving the way for a sustainable, reliable, and cost-effective energy future.
Focuses on grid expansion and investment planning by analyzing baseline scenarios, capital investments, and operating costs to minimize total system costs over an extended time frame.
Key Features:Core Capabilities:Investment Portfolio Optimization: Comprehensive investment strategy analysis for energy resources
Evaluates the 4 W's of Investment: What investments to make
Where to position resources
Why make specific decisions
How much capital to deploySophisticated hourly generation optimization
Determines optimal timing for:
Facility retirements
Alternative capacity developmentUses mixed integer program (MIP) optimization for cost-effective resource allocation across:
Variable energy resources
Energy efficiency measures
Demand response programs
Energy storage systems
Conventional power generation
Provides technical and economic insights by processing load data, generation scenarios, and system components, delivering forecasts and loss assessments.
Acelerex SSE Module emulates energy resource projects delivering stacked services and quantifies the benefits within a defined energy system or electric grid.
Key Applications:Operating Parameters:Input / Output:Peak shaving
Renewable economic shifting
Demand services
Ancillary services (primary, secondary, tertiary reserve) Maximizes profit from hourly dispatch
Considers project characteristics:
Runtime
Start / Stop Time
Efficiency
Size
Fuel Availability / Duration
Capacity fade curve
Initial state of charge (SOC) Input: Energy and reserve prices from Production Cost
Output: Hourly dispatch data and annual revenue tabulation
Acelerex’s integrated approach synthesizes client-provided data with advanced modeling techniques to:
By leveraging these tools, policymakers and investors gain access to high-quality insights that drive strategic planning and investment decisions. Whether optimizing grid infrastructure or ensuring cost-effective integration of renewable energy sources, Acelerex’s software suite provides the robust analytical foundation needed to navigate the complexities of the energy transition.
Acelerex's integrated software suite tackles complex energy transition challenges through three powerful modules that work in concert. These tools collectively provide comprehensive analysis of total system costs, including capital expenditure, operations and maintenance, storage impacts, and economic scenarios.
These tools inform strategic procurement decisions regarding both quantities and locations of the energy builds in the country, evaluate the economic advantages of saving operating expenditures for renewable alternatives like solar versus traditional generation, and support policy development for specialized programs like EV initiatives based on capacity assessments. Through sophisticated financial modeling, the suite enables long-term planning with detailed annuity calculations and investment projections, ultimately delivering actionable insights for capacity optimization, grid expansion, system optimization, cost optimization, and financial planning.
Reliance on fossil fuels can result in significant financial risks. A Value at Risk (VaR) analysis revealed substantial median annual costs for fossil fuels. Under extreme scenarios, costs could surge significantly. By integrating advanced hedging mechanisms, such as futures contracts, procurement costs can be stabilized, safeguarding the budget from market volatility.
Achieving renewable energy targets can significant capital investment. Fixed annuity models forecast annual commitments during peak investment years, tapering as debts are amortized. This financial structure ensures the feasibility of deploying utility-scale solar, wind, and storage systems while aligning with sustainability goals.
Our comprehensive analysis delivers detailed insights into:
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