MW級サイクリック連続・並列マルチトラックランプ重力エネルギー貯蔵システムのアーキテクチャ設計と性能シミュレーション用データセット
Dataset for Architectural Design and Performance Simulation of MW-level Cyclic Continuous and Parallel Multi-track Ramp Gravity Energy Storage Systems (原題)
Zhang Fan, Chen Julong, Mou Xuepeng, Ouyang Zhangzhi, Jia Wenlin
🤖 gxceed AI 要約
日本語
本研究は、従来の重力貯蔵の低効率・低拡張性を克服するため、循環連続・並列マルチトラック統合設計を提案する。データセットは、1〜3MWユニットの設計ロジックと性能限界を提供し、動的オンラインマスブロック、スケジューリング間隔、バッファ出口速度制限などの空間時間調整パラメータを含む。AnyLogicシミュレーションとANSYS解析により、負荷共有と電力増倍効果を定量化し、モジュール式スケーラビリティとコスト内訳を示す。重力貯蔵の「往復ユニット」から「循環クラスター」への移行のための最初のベンチマークを提供する。
English
This study proposes a cyclic continuous and parallel multi-track integrated design to overcome the low efficiency and poor scalability of conventional gravity storage. The dataset provides design logic and performance boundaries for 1-3 MW units, including spatial-temporal coordination parameters such as dynamic online mass blocks, scheduling intervals, and buffer exit speed limits. Through AnyLogic simulation and ANSYS analysis, it quantifies load sharing and power multiplication effects, and details modular scalability and cost breakdowns. It offers the first benchmark for transitioning gravity storage from reciprocating units to cyclic clusters.
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
日本の再生可能エネルギー導入拡大に伴い、長期貯蔵技術の需要が高まる中、山岳地形を活用した重力貯蔵の経済性評価に資する。系統安定化やFIP制度下での活用可能性を検討する上で参考になる。
In the global GX context
As global energy systems integrate higher shares of renewables, long-duration energy storage is critical. This dataset provides a benchmark for gravity storage design and performance, supporting technology developers and system planners in evaluating alternative storage solutions. It contributes to the global discourse on energy transition and storage innovation.
👥 読者別の含意
🔬研究者:Provides a novel dataset and simulation framework for gravity energy storage design, useful for advancing research in long-duration storage technologies.
🏢実務担当者:Offers design parameters and cost data that can inform feasibility studies for gravity storage projects, particularly in mountainous regions.
🏛政策担当者:Highlights the potential of gravity storage as a long-duration storage option, relevant for energy policy and grid planning.
📄 Abstract（原文）
Addressing the limitations of conventional ramp gravity storage—characterized by low efficiency and poor scalability due to "single-car, single-track, reciprocating" operations—this study innovatively proposes a cyclic continuous and parallel multi-track integrated design. The dataset provides a comprehensive representation of the engineering design logic and performance boundaries of this closed-loop cyclic architecture. Through physical modeling, AnyLogic multi-threaded scheduling simulation, and market research, the dataset offers detailed data for 1–3 MW units, including:Architectural Characteristic Parameters: Unlike reciprocating systems, this dataset includes critical spatial-temporal coordination parameters such as "dynamic online mass blocks," "scheduling intervals," and "buffer exit speed limits" for the closed-loop cycle.Performance Adaptation Data: Quantitative results on how the system shares loads via a "dual-motor on a single track" configuration and achieves power multiplication through multi-track parallel operation across various slope heights (200–500m).Modular Scalability Metrics: Design parameters for mass block structures, mechanical response data for carrier cars (based on ANSYS simulations), and detailed cost breakdowns based on modular components.This dataset provides the first benchmark for the technological transition of gravity energy storage from "reciprocating units" to "cyclic clusters." It is suitable for integrating new long-duration energy storage systems, optimizing multi-unit scheduling strategies, and evaluating the economic feasibility of mountain-based energy storage plants.
🔗 Provenance — このレコードを発見したソース
- scidb https://doi.org/10.57760/sciencedb.010h8first seen 2026-08-27 06:07:21 · last seen 2026-09-21 05:54:55
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