入力データセット：時間帯別料金下での系統連系型太陽光・風力・蓄電池システムの価格シグナル縮退と炭素配慮運用
Input dataset: Price-signal degeneracy and carbon-aware dispatch of grid-connected photovoltaic, wind and battery systems under time-of-use tariffs (原題)
Ilyes Tegani, Hamza Afghoul, Salah S. Alharbi, Saleh Alharbi, Salem Tegani
🤖 gxceed AI 要約
日本語
系統連系型の太陽光・風力・蓄電池ハイブリッドシステムにおいて、時間帯別料金の価格シグナル縮退が炭素排出に与える影響を分析。輸出報酬とオフピーク輸入料金が同一価格のため、コスト最小化制御は排出量が10.6%異なる運用方針に無差別となる。炭素シャドウプライスを導入することで、排出量と運用コストを同時に削減できることを示した。完全な入力データセットと再現可能な生成器を提供する。
English
This study analyzes price-signal degeneracy in a grid-connected PV-wind-battery system under time-of-use tariffs, showing that identical export and off-peak import prices make cost-minimizing dispatch indifferent between policies differing by 10.6% in annual emissions. Introducing a carbon shadow price resolves the indifference, cutting emissions by 10.6% and operating costs by 2.7%. A complete reproducible dataset and generator are provided.
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とFIP制度下での運用最適化に示唆を与える。価格シグナルの縮退が炭素排出に与える影響は、今後の市場設計や系統運用に重要な論点となる。
In the global GX context
This work contributes to global discourse on carbon-aware dispatch and market design, highlighting how tariff structures can inadvertently undermine decarbonization. The reproducible dataset supports further research on integrating carbon pricing into operational optimization.
👥 読者別の含意
🔬研究者:Provides a reproducible dataset and methodology for analyzing carbon-aware dispatch under price degeneracy, useful for further research in energy systems optimization.
🏢実務担当者:Offers insights for designing tariffs and control strategies that align cost minimization with carbon reduction in hybrid renewable systems.
🏛政策担当者:Highlights the importance of tariff design in achieving decarbonization goals, suggesting that carbon shadow pricing can correct market signals.
📄 Abstract（原文）
This deposit contains the complete input dataset and a reproducible generator for a study of carbon-aware risk-constrained stochastic predictive dispatch in a grid-connected hybrid renewable plant comprising a 50 kW photovoltaic array, a 60 kW wind turbine and a 100 kWh lithium-ion battery operating under a four-period time-of-use tariff. The associated study identifies a degeneracy in the price signal. Export remuneration and the off-peak import tariff are both 0.08 EUR/kWh, so charging the battery from local surplus and charging it from the overnight grid carry identical cost while differing by a factor of two in carbon intensity. A cost-minimising controller is therefore indifferent across a set of dispatch policies whose annual emissions differ by 10.6 percent. Admitting a carbon shadow price of 0.02 EUR/kg resolves the indifference and lowers annual emissions by 10.6 percent and annual operating cost by 2.7 percent at the same time. The coincidence of the two prices is a property of the deposited tariff rather than an oversight, and it is the object of the study. The generator, HRES_Dataset_Generator.m, regenerates every exogenous input: the ground-truth photovoltaic, wind and demand profiles for three weather regimes; the tariff with its period index; the export price; the diurnal grid carbon intensity; and the Monte Carlo forecast uncertainty ensembles. The profiles reproduce bit-for-bit under the seeding protocol documented in the README. It requires base MATLAB R2024a with no toolboxes. The deposit also contains the numerical results underlying every table and figure of the associated article and its supplementary file: ten comma-separated result files covering comparative performance, paired significance tests, annualised techno-economics, scenario reduction fidelity, forecast-error stress response, non-anticipativity ablation, carbon accounting under two conventions, the cost-carbon frontier, risk-measure degeneracy and the lifecycle carbon assessment; the per-seed campaign record over 30 independent realisations in each of three regimes; and thirty-four vector figures, seventeen of which appear in the article and seventeen in the supplementary file. All profiles are synthetic. They are constructed to span surplus-dominated, deficit-dominated and volatility-dominated operation rather than to reproduce any specific location, and the grid carbon intensity is an average-factor model.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.21874939first seen 2026-08-31 04:53:36
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