Research Article

Evaluating Biomass Energy Potential with Multi-Criteria Decision Methods: Insights for Policy Makers

Volume: 6 Number: 2 March 5, 2026

Evaluating Biomass Energy Potential with Multi-Criteria Decision Methods: Insights for Policy Makers

Abstract

The global shift towards renewable and sustainable energy has accelerated in recent years due to the depletion of fossil fuels and their detrimental effects on the environment. Despite their environmental advantages, renewable energy technologies often require substantial investment, and the optimal siting of energy conversion facilities remains a critical challenge, particularly in ensuring cost-efficiency and environmental compatibility. Biomass-based electricity production is a key contributor to sustainable energy transitions. This study develops a reliable decision-support framework for determining suitable locations for biomass power plants. Initially, an extensive literature review was conducted to identify and classify the evaluation criteria. Expert opinions from 21 professionals were then collected, and their judgments were tested for reliability using Kendall’s coefficient of concordance and statistical significance levels. The results confirmed a high degree of agreement among experts, providing robust weights for the criteria. These weights were subsequently applied in the TOPSIS and VIKOR methods to evaluate location alternatives. A comparison of the two approaches revealed strong consistency and methodological reliability. The findings demonstrate that integrating expert judgment validation with multi-criteria decision-making techniques provides a transparent and evidence-based tool for policy-makers in planning sustainable biomass energy investments.

Keywords

References

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Details

Primary Language

English

Subjects

Renewable Energy Resources , Multiple Criteria Decision Making

Journal Section

Research Article

Publication Date

March 5, 2026

Submission Date

September 23, 2025

Acceptance Date

December 21, 2025

Published in Issue

Year 2026 Volume: 6 Number: 2

APA
Mutlu, B., & Özyörük, B. (2026). Evaluating Biomass Energy Potential with Multi-Criteria Decision Methods: Insights for Policy Makers. Engineering Perspective, 6(2), 147-169. https://doi.org/10.64808/engineeringperspective.1789924
AMA
1.Mutlu B, Özyörük B. Evaluating Biomass Energy Potential with Multi-Criteria Decision Methods: Insights for Policy Makers. engineeringperspective. 2026;6(2):147-169. doi:10.64808/engineeringperspective.1789924
Chicago
Mutlu, Betül, and Bahar Özyörük. 2026. “Evaluating Biomass Energy Potential With Multi-Criteria Decision Methods: Insights for Policy Makers”. Engineering Perspective 6 (2): 147-69. https://doi.org/10.64808/engineeringperspective.1789924.
EndNote
Mutlu B, Özyörük B (March 1, 2026) Evaluating Biomass Energy Potential with Multi-Criteria Decision Methods: Insights for Policy Makers. Engineering Perspective 6 2 147–169.
IEEE
[1]B. Mutlu and B. Özyörük, “Evaluating Biomass Energy Potential with Multi-Criteria Decision Methods: Insights for Policy Makers”, engineeringperspective, vol. 6, no. 2, pp. 147–169, Mar. 2026, doi: 10.64808/engineeringperspective.1789924.
ISNAD
Mutlu, Betül - Özyörük, Bahar. “Evaluating Biomass Energy Potential With Multi-Criteria Decision Methods: Insights for Policy Makers”. Engineering Perspective 6/2 (March 1, 2026): 147-169. https://doi.org/10.64808/engineeringperspective.1789924.
JAMA
1.Mutlu B, Özyörük B. Evaluating Biomass Energy Potential with Multi-Criteria Decision Methods: Insights for Policy Makers. engineeringperspective. 2026;6:147–169.
MLA
Mutlu, Betül, and Bahar Özyörük. “Evaluating Biomass Energy Potential With Multi-Criteria Decision Methods: Insights for Policy Makers”. Engineering Perspective, vol. 6, no. 2, Mar. 2026, pp. 147-69, doi:10.64808/engineeringperspective.1789924.
Vancouver
1.Betül Mutlu, Bahar Özyörük. Evaluating Biomass Energy Potential with Multi-Criteria Decision Methods: Insights for Policy Makers. engineeringperspective. 2026 Mar. 1;6(2):147-69. doi:10.64808/engineeringperspective.1789924

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