About GAP
GAP is a power generation expansion planning software from IED that supports efficient analysis and decision-making for energy generation projects. It combines features such as minimal configuration, comprehensive references, and access to pertinent screenshots, which helps users to quickly adapt and implement the software. Additionally, GAP provides tools for strategic planning and updates through options like subscribing to the newsletter. This software is designed for energy professionals looking to effectively manage their power generation portfolios. Key capabilities: minimal configuration comprehensive references strategic planning tools screenshot access newsletter subscription Best for: energy planners and analysts that need to assess and plan for future power generation needs.
GAP (Generation Analysis and Planning), developed by Innovation Energie Développement (IED Group), is an advanced simulation and planning software designed for energy power system analysis at regional or national levels. It enables energy planners, engineers, and policymakers to optimize investment strategies, forecast energy demands, and model different power generation scenarios. At its core lies a stochastic simulation model (PROSIM) that accurately calculates technical and economic results of multiple generation expansion hypotheses, addressing uncertainties in fuel costs, hydrological variations, and operational reliability. GAP provides an extensive database framework where users define parameters such as demand profiles, interconnections, renewable energy resources, fuel data, and maintenance schedules. It performs Monte Carlo–based stochastic computations, ranking generation units by merit to determine the optimal balance between cost, reliability, and sustainability. The results are presented in highly visualized tables and graphs, allowing easy comparison of alternative expansion scenarios. GAP also supports detailed CO₂ emission tracking, renewable share calculation, and performance analysis of each power plant.
Pros & Cons
- +Offers deep analytical insights for long-term energy planning.
- +Handles complex stochastic variables for precise simulations.
- +Supports renewable energy integration and emission analysis.
- +Customizable and scalable for both regional and national energy systems.
- +User interface supports graphical interpretation and report generation.
- −Requires advanced technical knowledge for accurate model setup.
- −Computationally intensive for large-scale datasets.
- −Lacks real-time grid control or operational dispatch functions.
- −Limited cloud or mobile platform availability.
- −Custom implementation may require professional configuration support.
Features
Key features
- Stochastic Generation Simulation
- Uses the PROSIM model to simulate energy production under variable conditions and forecast reliability of power supply.
- Scenario Management System
- Enables comparison of multiple generation expansion plans and investment strategies for optimal outcomes.
- Comprehensive Data Framework
- Incorporates up to nine data groups including fuels, maintenance, interconnections, and renewable resources.
- Monte Carlo Algorithm
- Applies stochastic methods to compute annual energy generation and optimal unit dispatch.
- Graphical Visualization Tools
- Displays results as charts, tables, and graphs for intuitive data interpretation.
- Economic and Technical Analysis
- Calculates investment costs, production reliability, CO₂ emissions, and renewable energy share.
- User-Friendly Interface
- Simplifies data entry, scenario creation, and real-time comparison through an intuitive dashboard.
Additional features
- Load Forecasting Module
- Defines annual, weekly, and daily demand profiles for accurate energy prediction.
- Fuel Cost Management
- Tracks calorific values and cost trends with visual plausibility checks.
- Hydraulic Data Control
- Models water availability and hydroelectric generation efficiency over study periods.
- Wind and Solar Integration
- Simulates renewable energy inputs based on wind and sunshine characteristics.
- Interconnection Configuration
- Defines import/export energy exchanges with neighboring regions.
- Generation & Storage Data
- Manages capacity, operational costs, and reliability of thermal, hydro, solar, and storage units.
- Maintenance Scheduling
- Accounts for downtime in power units through user-defined maintenance periods.
- Performance Indicators
- Measures energy not supplied, marginal costs, and renewable energy penetration.
- Scenario Comparison Reports
- Displays multi-scenario outcomes in synchronized windows for easy benchmarking.
- Exportable Reports
- Allows users to print or export data in spreadsheet format for external analysis.
Pricing
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About GAP
GAP is a power generation expansion planning software from IED that supports efficient analysis and decision-making for energy generation projects. It combines features such as minimal configuration, comprehensive references, and access to pertinent screenshots, which helps users to quickly adapt and implement the software. Additionally, GAP provides tools for strategic planning and updates through options like subscribing to the newsletter. This software is designed for energy professionals looking to effectively manage their power generation portfolios. Key capabilities: minimal configuration comprehensive references strategic planning tools screenshot access newsletter subscription Best for: energy planners and analysts that need to assess and plan for future power generation needs.
GAP Details
GAP's In-App Market Place
Does GAP have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
NA
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£)
Pros & Cons
- Offers deep analytical insights for long-term energy planning.
- Handles complex stochastic variables for precise simulations.
- Supports renewable energy integration and emission analysis.
- Customizable and scalable for both regional and national energy systems.
- User interface supports graphical interpretation and report generation.
- Requires advanced technical knowledge for accurate model setup.
- Computationally intensive for large-scale datasets.
- Lacks real-time grid control or operational dispatch functions.
- Limited cloud or mobile platform availability.
- Custom implementation may require professional configuration support.
GAP's Support Options
Contact
(+33) (0) 472591320GAP's Alternatives
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