Application of Grid Carbon Footprint Full Chain Modeling and LCC Assessment in Low Carbon Equipment Selection
グリッドカーボンフットプリントの全連鎖モデリングとLCC評価の低炭素機器選定への応用 (AI 翻訳)
Hanyun Wang
🤖 gxceed AI 要約
日本語
本論文は、双炭目標下での電力系統の低炭素機器選定問題に対し、NB-IoTによるカーボンフットプリント収集とLCC評価を統合したモデルを提案。炭素排出ペナルティと設備コストを最小化する最適構成を実現し、変圧器や太陽光インバータなどの機器選定に適用。実証結果ではLCAとの誤差が小さく、経済性も高いことを示した。
English
This paper proposes a model integrating NB-IoT-based carbon footprint collection and LCC assessment for low-carbon equipment selection in power grids under the dual-carbon target. It minimizes carbon penalty and equipment costs, achieving optimized selection of transformers, PV inverters, and storage. Results show small errors compared to LCA and significant economic benefits.
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
日本のGX政策においても、電力系統の脱炭素化は重要課題であり、本論文のLCCとカーボンフットプリントを組み合わせた機器選定手法は、日本の電力会社や設備投資判断に参考となる。
In the global GX context
This paper offers a practical method for integrating carbon footprint and life-cycle cost into equipment selection, relevant for grid decarbonization globally. It demonstrates how to balance carbon costs and investment, which can inform similar efforts under TCFD and transition finance frameworks.
👥 読者別の含意
🔬研究者:Researchers in carbon accounting and power system optimization can leverage the combined carbon-LCC modeling approach.
🏢実務担当者:Utility engineers and procurement teams can use the framework to evaluate low-carbon equipment options systematically.
📄 Abstract（原文）
This paper addresses the issue of low-carbon equipment selection for power grids under the dual-carbon objective, calculates the carbon emission intensity of users by tracing their power sources and quantities, and the NB-IoT IoT collects data from power grids to realize the collection and monitoring of carbon footprints. Based on the life cycle cost calculation of carbon emissions, with the modeling objective of minimizing the carbon emission penalty cost and equipment construction and installation cost for a typical day of distribution network, substation power constraints, grid constraints, equipment configuration and operation power constraints are set to establish a framework for coordinated optimal configuration. Combined with the theory of internalization of externalities, the marginal integrated cost of equipment selection backup is defined, and the optimized selection of low-carbon equipment is realized with the goal of minimizing the marginal integrated cost. The application results show that the LCC assessment proposed in this paper has the smallest error compared with the LCA assessment result of 30t, and the relative errors of the NB-IoT IoT acquisition system are 1.14%, 1.26%, and 0.58%, and the model accuracy is more. The actual costs of carbon footprint, transformer, photovoltaic inverter, and energy storage equipment are 482,000, 495,000, 502,000, and 476,000 yuan, which are more in line with the actual costs.The average cost of LCC assessment of tariff changes is 6,172,700 yuan, and the average cost of discount rate is 6,285,700 yuan, which is obvious in terms of economic benefits, and it can provide systematic and quantifiable decision-making support for the selection of low-carbon equipment for power grids.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.65102/is2026261first seen 2026-05-17 05:29:09
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