Centralised Peer-to-Peer Multi-Energy Trading through Islanded Microgrid for Eco-Industrial Park
エコ工業団地のための島嶼マイクログリッドを通じた中央集権型ピアツーピアマルチエネルギートレーディング (AI 翻訳)
Nur Shardatul Hajjar Kamarudzaman, P. Liew, A. A. Azmi, K. S. Woon
🤖 gxceed AI 要約
日本語
本論文は、工業団地における熱エネルギーと電力のP2P取引を統合した中央集権型モデルを提案。協力ゲーム理論とADMM最適化を用いて総年間コストを最小化し、マレーシアの3社ケーススタディで有効性を実証。炭素税がコストに最も影響することが示された。
English
This paper proposes a centralised multi-energy P2P trading model integrating thermal and electrical energy for eco-industrial parks, using cooperative game theory and ADMM optimization. A case study of three Malaysian industrial players demonstrates cost minimization and identifies electricity tariffs as the most influential cost driver, followed by carbon tax and natural gas price.
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
日本でも工業団地単位でのエネルギーマネジメントや産業共生が注目されており、炭素税や電力料金の影響分析は、日本のGX政策（GXリーグ、カーボンプライシング）の設計に示唆を与える。
In the global GX context
This paper contributes to global literature on multi-energy P2P trading and industrial decarbonization, demonstrating the sensitivity of total costs to carbon tax—a key policy lever in the EU ETS and emerging carbon pricing schemes.
👥 読者別の含意
🔬研究者:Provides a game-theoretic optimization framework for multi-energy P2P trading in industrial clusters.
🏢実務担当者:Offers insights for industrial park operators on cost savings through thermal and electrical energy trading under carbon pricing.
🏛政策担当者:Highlights the significant impact of carbon tax and electricity tariffs on industrial energy costs, informing carbon pricing design.
📄 Abstract（原文）
Energy consumption in the industrial sector must be treated seriously to minimise global energy use and carbon emissions. While peer-to-peer (P2P) energy trading has gained attention in residential and commercial sectors, its application in industrial settings, particularly for thermal energy, remains limited. This paper proposes a centralised multi-energy P2P trading model based on a cooperative game-theoretic framework for an eco-industrial park (EIP). The model integrates nonlinear programming (NLP) optimisation with the Alternating Direction Method of Multipliers (ADMM) to minimise the total annual costs (TAC), accounting for capital, operating, fuel, water, power, and carbon tax costs. A case study of three industrial players uses Python and demonstrates a minimum TAC of 2,165.86 million MYR/year. The model enables trading of 62,548.61 kWh of thermal energy and 3.76 GWh of electricity annually. A sensitivity analysis across three scenarios confirms that electricity tariffs have the most significant influence on TAC, followed by the carbon tax and the natural gas price. The proposed model supports industrial symbiosis and underscores the importance of integrating thermal energy into industrial P2P systems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/aeees69423.2026.11556846first seen 2026-06-19 05:17:48
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