Multi-objective optimization of a regional biogas supply chain using organic waste
有機廃棄物を用いた地域バイオガスサプライチェーンの多目的最適化 (AI 翻訳)
I. Malashin, Dmitry Martysyuk, V. Nelyub, A. Borodulin, Andrei P. Gantimurov, V. Tynchenko
🤖 gxceed AI 要約
日本語
農業・都市有機廃棄物を活用したバイオガスサプライチェーンの多目的最適化モデルを開発。経済性・環境性・強靭性を考慮し、ケーススタディから投資と排出削減のトレードオフを分析。原料価格とバイオガス収率が最大の影響因子であり、複数サプライヤーからの調達がレジリエンス向上と追加コストなしの排出削減に寄与することを示した。
English
This study develops a multi-objective optimization model for regional biogas supply chains using organic waste, considering economic, environmental, and resilience criteria. A case study shows moderate investment yields significant emission reductions, but diminishing returns beyond a threshold. Feedstock price and biogas yield are key drivers; diversified sourcing improves resilience and enables further emission cuts without extra capital.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では食品廃棄物や家畜ふん尿の処理が課題となっており、本モデルは地域のバイオガス事業設計に応用可能。コストと環境の最適バランスを定量化する手法は、GX実現に向けた廃棄物エネルギーの有効活用に示唆を与える。
In the global GX context
This framework supports the design of biogas supply chains that are both economically viable and environmentally beneficial, aligning with global renewable energy and circular economy targets. It provides a transparent tool for decision-makers to assess trade-offs between cost and emissions, relevant for regions scaling up organic waste-to-energy projects.
👥 読者別の含意
🔬研究者:The multi-objective optimization methodology offers a replicable approach for analyzing waste-to-energy supply chains under multiple criteria.
🏢実務担当者:Corporate sustainability teams can apply the model to evaluate biogas plant configurations and sourcing strategies for cost and emission reductions.
🏛政策担当者:The results highlight the emission reduction potential of moderate investments in biogas infrastructure and the value of diversified feedstock supply.
📄 Abstract（原文）
The growing volume of agricultural and municipal organic residues presents both a waste-management challenge and an opportunity for low-carbon energy production. This study develops a multi-objective optimization model to support the strategic design of regional biogas supply chains, explicitly accounting for economic, environmental, and system-resilience criteria. The framework is demonstrated using data from a representative biogas plant case study to explore alternative system configurations and trade-offs among total cost, greenhouse gas emissions, energy revenue, resource consumption, and supply reliability. Results indicate that moderate investment levels allow substantial emission reductions, whereas beyond a certain threshold additional expenditure yields progressively smaller environmental benefits. Likewise, increasing plant throughput raises energy revenue, but the incremental financial return declines as capacity limits are approached. Sensitivity analysis shows that feedstock price and biogas yield have the strongest influence on overall system performance, while discount rate and transport-related emissions exert secondary effects. More balanced sourcing from multiple suppliers improves resilience and can enable further emission reductions without increasing capital cost. The proposed framework provides a transparent decision-support tool for designing economically viable and environmentally balanced biogas systems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1038/s41598-026-42963-5first seen 2026-05-15 17:31:08
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