GIS Analysis for Determining Optimal Sites for Wind Farm Construction

Determining Optimal Locations for Wind Farms
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Project Details

GIS-Point was engaged at the planning and design stage of this major renewable energy project to provide a geospatial analysis for determining optimal sites for wind farm construction. The survey area covered 3000 km² in Australia, focusing on creating KML layers and GIS images for the future construction of the “Macorna” wind farm. The project involved mapping various geographical constraints, including railways, roads, waterways, and power lines, to ensure the optimal placement of wind turbines within the study area.
GIS Analysis for Determining Optimal Sites for Wind Farm Construction

Client: The Company operates wind power plants in Australia, focusing on renewable energy development, investment, and management.

Sector: Renewable Energy

Sub Sector: Wind Energy

Services: GIS analysis

Solution:

  • Wind Resource Mapping
  • Geospatial Constraint Analysis
  • KML Layer Creation for Site Planning

Location: Macorna region, Australia

Technology and Software: The project utilized ArcGIS, QGIS, and Google Earth for conducting GIS analysis and providing high-quality data visualization.

People: GIS-Point assembled a team of experienced GIS specialists to provide continuous GIS support for the client. The team meticulously studied all features and requirements related to constraints, necessary outcomes, and data visualization. They maintained constant communication with the client to ensure approvals and updates were promptly addressed. This ensured that results were delivered quickly and in line with the client’s needs.

Project: GIS Analysis for Determining Optimal Sites for Wind Farm Construction

 

Process & Challenges

Process:
The project commenced with an extensive geospatial analysis to determine the most suitable locations for wind farm construction. GIS-Point employed state-of-the-art GIS technologies and methodologies to develop accurate KML layers and GIS imagery. This involved integrating wind resource data with a range of geographical constraints, including infrastructure and environmental factors. Our process entailed:

  • Mapping and analyzing spatial data to identify potential sites.
  • Creating detailed KML layers to represent various constraints such as roads, railways, and wetlands.
  • Producing high-resolution GIS images to visualize wind speed and other critical variables.
  • Developing digital GIS maps tailored to client specifications to facilitate precise planning and decision-making.
  • Collaborating continuously with the client to ensure the accuracy and relevance of the data.

The thorough analysis and precise data visualization enabled effective planning and strategic placement of wind turbines, aligning with project goals and environmental considerations.

Challenges:
The project presented several significant challenges, including the analysis of extensive and diverse datasets. These included environmental and infrastructural constraints, as well as legal considerations related to stakeholder approvals for construction. Key challenges included:

  • Data Integration: Merging diverse datasets for a comprehensive geospatial analysis.
  • Constraint Management: Addressing ecological, infrastructural, and legal factors, including stakeholder approvals.
  • Dynamic Updates: Continuously updating results to reflect changes in constraints and client requirements.

Successfully managing these challenges was essential for delivering accurate and actionable analysis for the wind farm project.

Result

The GIS analysis provided detailed and accurate geospatial data, facilitating the optimal placement of wind turbines and ensuring all constraints were addressed. The KML layers and maps created enabled effective site planning and decision-making for the “Macorna” wind farm project.

Our Team

Ievgen Lavrishko
CEO & Owner
Khrystyna Bochko
HR Generalist
Alevtyna Kostianchuk
Senior Project Manager
Andriiana Pavlyshyn
Head of Business Development
Roman Nahaiovskyi
Project Manager
Maria Kizim
Lead Generation Specialist
Ivanna Soltys
Tender Manager

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