Submitted:
02 March 2025
Posted:
03 March 2025
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Abstract
This study aims to assess the environmental impact of using wood-based biomass as a high-efficiency fuel alternative to fossil fuels for heat production. To achieve this, the life cycle of biomass transformation, utilization, and disposal was analyzed using the Life Cycle Assessment (LCA) methodology with SimaPro 9.5.0.2 PhD software. The system boundaries included extraction, processing, transportation, combustion, and waste management, following a cradle-to-gate approach. A comparative analysis was conducted between natural gas, the most widely used conventional heating fuel, and two biomass-based fuels: wood pellets and wood chips. The results indicate that biomass utilization reduces greenhouse gas emissions and fossil resource depletion while providing environmental benefits across all assessed impact categories, except for land use. However, critical life cycle phases, such as raw material processing and transportation, were found to contribute significantly to human health and ecosystem well-being. To mitigate these effects, optimizing combustion efficiency, improving supply chain logistics, and promoting sustainable forestry practices are recommended. These findings highlight the potential of biomass as a viable renewable energy source and provide insights into strategies for minimizing its environmental footprint.
Keywords:
1. Introduction
2. Materials and Methods
2.1. Goal, Scope and Target
2.2. Boundaries and Functional Unity
2.3. Inventory Analysis
2.3.1. Process Modelling
2.4. Impact Assessment
- Human health (HH), expressed as the number of years of life lost or lived with disability. Units of measurement is DALY.
- Ecosystems, expressed as loss of species in a certain area over a certain period. Units of measurement is species.yr.
- Resource scarcity expressed as the excess cost of future resource production over an infinite period of time (assuming constant annual production). Unit of measurement USD13.
3. Results
3.1. Sensitivity Analysis
- Scenario variation (SV1): 50% reduction in inbound and outbound km. There is a significant reduction in impact on all endpoint categories analyzed.
- Scenario variation (SV2): No reduction in inbound km and 90% reduction in outbound km. No significant impact reductions are observed, which underscores that the effects are mainly due to inbound transport on heavy vehicles.
4. Discussion and Conclusions
Supplementary Materials
Author Contributions
Conflicts of Interest
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