6 modeling tools for the wind energy industry that will make your work easy

Modeling tools for the wind energy industry - AirpesIf you work in the wind energy industry, you are aware of all the aspects you must have in mind to wind turbines work properly. Planning, constructing, and running a wind farm is not an easy task and, with our lifting, handling, and transporting solutions for the wind industry, we always want to help you make your work easy.

That’s why we also have compiled six models and tools that will help you plan your entire project, from financing to future forecasts for your wind farm and all the resources needed for wind energy.

6 wind energy tools for modeling and optimization

These modeling tools have been recommended by the Office of Energy Efficiency and Renewable Energy of the Government of the United States of America. They will allow you to get data and information about each step in the process of energy development.

1. Jobs and Economic Development Impacts (JEDI) Models

These user-friendly tools allow you to estimate the economic impacts of constructing and operating power generation at the local and state levels. For example, JEDI estimates the number of in-state construction jobs from a new wind farm. Models for wind power include distributed wind and utility-scale wind for both onshore and offshore wind farms.

Their design allows novices to explore jobs and economic impacts from the construction and operation of power plants. Advanced users can also incorporate specific data to tailor model inputs and refine conclusions from the model results.

In the USA, these models are used by county and state decision-makers, public utility commissions, potential project owners, and others interested in the economic impacts of new electricity generation projects.

2. System Advisor Model (SAM)

This tool is a free techno-economic software model that facilitates decision-making for people involved in the renewable energy industry. It assists you with decision-making through performance and financial modeling.

Obtain performance predictions and cost of energy estimates for grid-connected power projects based on installation and operating costs and system design parameters that the model user specifies.

System Advisor Model works for:

  • Residential and commercial projects.
  • Power purchase agreement (PPA) projects.
  • Third-party ownership.

3. Regional Energy Deployment System Model

The Regional Energy Deployment System Model simulates the evolution of the bulk power system, generation, and transmission, from the present day through 2050 or later.

This model informs a wide range of electricity sector research questions, such as clean energy policy, renewable energy integration, technology innovation, and other forward-looking generation and transmission infrastructure issues.

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4. Renewable Energy Potential (reV) Model

The Renewable Energy Potential (reV) model is a detailed spatiotemporal modeling assessment tool that empowers users to calculate renewable energy capacity, generation, and cost based on geospatial intersection with grid infrastructure and land-use characteristics.

This model provides broad coverage across North America, South and Central Asia, the Middle East, South America, and South Africa to inform national and international scale analyses, regional infrastructure, and deployment planning. It can help utility planners, agencies, project and land developers, and researchers assess renewable energy resource potential.

It has a modular architecture that allows you to focus on different aspects:

  • Modeling System Performance
  • Calculating Site-Based Levelized Cost of Energy
  • Considering Land Use Characteristics
  • Cost and Capacity

5. Distributed Generation Market Demand (dGenTM) Model

The Distributed Generation Market Demand (dGenTM) model simulates customer adoption of distributed energy resources for residential, commercial, and industrial entities in the United States or other countries through 2050.

All data are embedded in a spatially resolved database, which permits analysis at multiple geographic levels (national, state, and utility, or below). Customer adoption is modeled through a bottoms-up agent-based approach that permits sophistication in the representation of decision-making regarding economic and behavioral considerations.

6. Small Wind Economic Model (downloadable Excel)

This Excel template is a wind model that allows you to estimate the performance and economics of potential distributed wind turbine projects, with a focus on certified residential turbines.

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Airpes is the partner you need for your lifting projects in the wind industry

We hope you have found useful these models and tools for the wind industry. Airpes offers you a wide range of wind energy tools and tailor-made solutions for your projects since 2003. Our philosophy is to reduce the cost without decreasing the quality of the resources needed for wind energy projects.