高再生可能エネルギー浸透率の統合エネルギーシステムにおける低炭素前日同時市場清算
Low-carbon day-ahead joint market clearing for integrated energy systems with high renewable energy penetration (原題)
Mingyuan CHEN, Yang Youhui, Zheng Wenbin, Huayuan Li, Xuan Peizheng, Peng Chaoyi
🤖 gxceed AI 要約
日本語
電力・熱の統合エネルギーシステム(IES)を対象に、CHP・ガスボイラー・風力・PV・系統取引・需要シフトを協調させる低炭素前日同時市場清算モデルを提案。総運用費と直接排出の金銭換算コストを最小化する線形計画で、96期間ケースを構築。炭素価格・需要柔軟性・CHP熱電比・連系線容量が再エネ受容を共に規定し、前日市場設計で協調すべきと示す。
English
This paper proposes a low-carbon day-ahead joint electricity-heat market-clearing model for integrated energy systems, coordinating CHP units, gas boilers, wind, PV, grid transactions, and shiftable demand. Using a 96-period linear-programming case, it shows that carbon pricing, demand flexibility, CHP heat-to-power ratio, and tie-line capacity jointly determine renewable accommodation and should be coordinated in day-ahead market design.
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
日本では再エネ大量導入に伴う出力抑制と、電力・熱の部門横断的な市場設計が課題。炭素価格感度と連系線容量の関係は、需給調整市場や容量市場の設計、SSBJ開示における移行計画の実効性評価に示唆を与える。
In the global GX context
Globally, this contributes to the design of low-carbon market mechanisms under high renewable penetration, linking carbon pricing, sector coupling (power-heat), and grid capacity. It informs ISSB/TCFD transition-planning discussions on how market design and carbon price signals translate into actual emission reductions.
👥 読者別の含意
🔬研究者:電力・熱の同時市場清算と炭素価格・需要柔軟性・CHP結合の相互作用を定量化するモデル手法として参考になる。
🏢実務担当者:炭素価格や連系線制約が再エネ調達・自家発CHP運用のコストと排出に与える影響を評価する際の枠組みを提供。
🏛政策担当者:前日市場設計において炭素価格・需要応答・系統容量を協調させる必要性を示す政策示唆。
📄 Abstract（原文）
Driven by carbon-neutrality targets and the rapid growth of renewable generation, improving wind and photovoltaic (PV) accommodation has become a central requirement for integrated energy systems (IESs). This paper proposes a low-carbon day-ahead joint electricity-heat market-clearing model that coordinates combined heat and power (CHP) units, gas boilers, wind power, PV generation, grid transactions, and shiftable demand. The model minimizes total operating cost and monetized direct-emission cost while satisfying fixed electricity and heat demand. Electricity and heat balances, unit operating and ramping limits, tie-line capacity, energy-neutral demand shifting, and fixed-load requirements are represented within a linear-programming framework. A 96-period numerical case is constructed from publicly available electricity-demand, renewable-generation, electricity-price, and heat-demand profiles. The results show that the renewable-curtailment rate in Scenario 1 is 12.70% under a 350 kW tie-line and a 1000 kWh/day shiftable-energy limit. Increasing shiftable energy to 2000 kWh/day reduces curtailment to 9.96%, whereas increasing tie-line capacity to 800 kW enables complete renewable accommodation. At the reference carbon price of 505 yuan/tCO2, emissions are monetized but the physical dispatch remains unchanged because the heat balance and tie-line constraint are binding. At 1500 yuan/tCO2, curtailment decreases to 0% and direct emissions decline from 13.873 to 13.333 tCO2. Increasing the CHP heat-to-power ratio from 1.0 to 1.6 further reduces curtailment from 33.10% to 1.23%. These results show that carbon pricing, demand flexibility, CHP coupling, and tie-line capacity jointly determine renewable accommodation and should therefore be coordinated in day-ahead market design.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.egyr.2026.109773first seen 2026-10-08 04:55:30
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。