Study
Resource ManagementRecentStrong effect

Integrated GIS and Multi-Criteria Decision Analysis Optimizes Renewable Energy Site Selection

Combining Geographic Information Systems (GIS) with multi-criteria decision analysis (MCDA) methods like SWARA and DEMATEL can systematically identify optimal locations for large-scale renewable energy installations.

Energy Science & Engineering · 2023

01

Key Findings

  • 01Significant areas in the Kasserine region are highly suitable for solar photovoltaic (635 km²) and wind energy (467 km²) installations.
  • 02A substantial area (349 km²) is identified as suitable for hybrid solar-wind systems.
  • 03The integrated SWARA-DEMATEL-GIS model effectively balances multiple criteria for optimal site selection.
02

Application

Design takeaway

When selecting sites for renewable energy projects, employ integrated spatial analysis tools and multi-criteria decision-making frameworks to systematically evaluate and prioritize locations based on a comprehensive set of criteria.

How to apply

Utilize GIS software and MCDA techniques to map and analyze potential sites for renewable energy projects, considering factors such as solar irradiance, wind speed, land availability, grid proximity, and environmental impact.

Project actions

  • 01Clearly define all criteria and constraints relevant to your design problem.
  • 02Use software tools to visualize and analyze spatial data effectively.
03

Method & Evidence

AimTo develop and apply an integrated spatial analysis model for identifying the most suitable sites for large-scale solar photovoltaic and wind energy systems.
MethodIntegrated MCDA and GIS spatial analysis
ProcedureA literature survey was conducted to establish suitability criteria and constraints. The SWARA method was used to assign weights to these criteria, and the DEMATEL method was employed to understand the interdependencies between them. These weighted criteria were then integrated within a GIS environment using a raster calculator to generate suitability maps for solar, wind, and hybrid systems.
ContextRenewable energy site selection in Kasserine, Tunisia

Variables

IVSuitability criteria (e.g., solar irradiance, wind speed, slope, distance to grid)
DVSite suitability index/map
CVGIS software version, specific MCDA algorithms used, data resolution
04

Strengths & Limitations

Strengths

  • +Comprehensive integration of spatial analysis and decision-making techniques.
  • +Provides a replicable methodology for similar site selection challenges.

Limitations

The accuracy of the suitability maps is directly tied to the quality and resolution of the input data.

Reliability & validity

Reliability is supported by the systematic application of established MCDA and GIS tools. Validity is strong in its ability to address the research aim, though dependent on the representativeness of chosen criteria and data.

Think critically

How might the weighting of criteria in the SWARA method be influenced by political or economic pressures, and how could this bias the final site selection?

05

Design Principles

"Integrate spatial data analysis with multi-criteria decision-making to systematically optimize site selection for complex infrastructure projects."

Effective site selection is critical for maximizing the efficiency and economic viability of renewable energy projects. This approach provides a robust framework for designers and engineers to balance complex environmental, technical, and economic factors, reducing risks and accelerating deployment.

06

What This Means for Your Design

Using computer maps and a structured way to weigh different factors helps find the best places for solar panels and wind turbines.

How to use in your project

  • 1.Reference this study when justifying your choice of methodology for site selection or resource assessment in your design project.
07

Add to My Project

08

Quick Cite

(2023). Unlocking renewable energy potential: A case study of solar and wind site selection in the Kasserine region, central‐western Tunisia. Energy Science & Engineering. https://doi.org/10.1002/ese3.1650 Retrieved from https://designdex.org/study/477c4d51-9232-449d-86f9-f2ef5f24c42e/integrated-gis-and-multi-criteria-decision-analysis-optimizes-renewable-energy-site-selection

Paragraph starter

The integrated approach of using Geographic Information Systems (GIS) with multi-criteria decision analysis (MCDA) methods, such as SWARA and DEMATEL, provides a robust framework for systematically identifying optimal sites for renewable energy installations. This methodology allows for the quantitative assessment and balancing of various factors, leading to data-driven decisions that can significantly enhance project efficiency and reduce associated risks, as demonstrated in the Kasserine region case study.

09

Source

Energy Science & Engineering

Unlocking renewable energy potential: A case study of solar and wind site selection in the Kasserine region, central‐western Tunisia

journal · 2023

View source

Questions about this research

What does the research say about integrated gis and multi-criteria decision analysis optimizes renewable energy site selection?
When selecting sites for renewable energy projects, employ integrated spatial analysis tools and multi-criteria decision-making frameworks to systematically evaluate and prioritize locations based on a comprehensive set of criteria. Evidence: Energy Science & Engineering (2023).
Why does "Integrated GIS and Multi-Criteria Decision Analysis Optimizes Renewable Energy Site Selection" matter for design?
Effective site selection is critical for maximizing the efficiency and economic viability of renewable energy projects. This approach provides a robust framework for designers and engineers to balance complex environmental, technical, and economic factors, reducing risks and accelerating deployment.
How can designers apply this research?
When selecting sites for renewable energy projects, employ integrated spatial analysis tools and multi-criteria decision-making frameworks to systematically evaluate and prioritize locations based on a comprehensive set of criteria.
What were the main findings?
Significant areas in the Kasserine region are highly suitable for solar photovoltaic (635 km²) and wind energy (467 km²) installations.. A substantial area (349 km²) is identified as suitable for hybrid solar-wind systems.. The integrated SWARA-DEMATEL-GIS model effectively balances multiple criteria for optimal site selection.
What research method was used?
Integrated MCDA and GIS spatial analysis.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2023 journal from Energy Science & Engineering.
What should I do differently in my next project?
Utilize GIS software and MCDA techniques to map and analyze potential sites for renewable energy projects, considering factors such as solar irradiance, wind speed, land availability, grid proximity, and environmental impact.
What are the limitations?
The suitability is dependent on the specific criteria and weights chosen, and may not account for all localized micro-environmental factors or future land-use changes.
Is there evidence that renewable energy affects design outcomes?
The study successfully identified large, suitable zones for solar, wind, and hybrid renewable energy systems in the Kasserine region, demonstrating the effectiveness of the integrated analytical approach. Effective site selection is critical for maximizing the efficiency and economic viability of renewable energy proje Source: Energy Science & Engineering (2023).
Where does this site selection research apply?
Renewable energy site selection in Kasserine, Tunisia It sits within resource management research on designdex.org.

Related research topics

renewable energy design research · evidence on renewable energy · does renewable energy improve design outcomes · site selection studies for designers · renewable energy and site selection findings · resource management research evidence