MULTI-SCENARIO CAPACITY OPTIMIZATION OF PURE OXYGEN COMBUSTION CARBON REDUCTION SYSTEM BASED ON WIND POWER OXYGEN PRODUCTION

Ding Ying, Wang Weiqing, Li Xiaozhu, Ding Ming, Yan Wentao, Gao Shuai

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 662-673.

PDF(1720 KB)
Welcome to visit Acta Energiae Solaris Sinica, Today is
PDF(1720 KB)
Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 662-673. DOI: 10.19912/j.0254-0096.tynxb.2024-1657

MULTI-SCENARIO CAPACITY OPTIMIZATION OF PURE OXYGEN COMBUSTION CARBON REDUCTION SYSTEM BASED ON WIND POWER OXYGEN PRODUCTION

  • Ding Ying1, Wang Weiqing1, Li Xiaozhu1, Ding Ming2, Yan Wentao1, Gao Shuai1
Author information +
History +

Abstract

In order to enhance the renewable energy accommodation capacity of regional power grids and reduce carbon emissions as well as the energy consumption of carbon capture, a pure oxygen combustion carbon reduction system based on wind-powered oxygen production was constructed. This system takes into account the oxygen demand for pure oxygen combustion under different scenarios and proposes a capacity optimization allocation strategy for multiple scenarios. Firstly, an improved clustering algorithm using P&U-K-means(principal component analysis & uniform manifold approximation and projection-K-means) is applied to obtain typical source-load scenarios. Secondly, to optimize the economic performance of the system, operational modes and configuration schemes are proposed for different scenarios. Based on this, a multi-scenario optimization configuration model for the wind-powered oxygen production-based pure oxygen combustion carbon reduction system is established. Finally, simulation verification is conducted using annual source-load data from different regions in Belgium as an example, and the configuration results and influencing factors under different scenarios are compared and analyzed. The results show that, by considering different scenarios, the system’s profit can be increased by approximately 47.83%. The introduction of pure oxygen combustion reduces the carbon reduction cost of the system by about 8.71% and increases the carbon capture capacity by more than 14.9%.

Key words

wind power / hydrogen production / carbon capture / optimal configuration / pure oxygen combustion / scenario generation

Cite this article

Download Citations
Ding Ying, Wang Weiqing, Li Xiaozhu, Ding Ming, Yan Wentao, Gao Shuai. MULTI-SCENARIO CAPACITY OPTIMIZATION OF PURE OXYGEN COMBUSTION CARBON REDUCTION SYSTEM BASED ON WIND POWER OXYGEN PRODUCTION[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 662-673 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1657

References

[1] 李笑竹, 陈来军, 杜锡力, 等. 发电侧共享储能运营机制与交易模式研究综述[J]. 电气工程学报, 2023, 18(1): 188-200.LI X Z, CHEN L J, DU X L, et al. Research status and prospect of shared energy storage operation mechanism and trading mode on generation side[J]. Journal of electrical engineering, 2023, 18(1): 188-200.
[2] ZHENG B, WANG S, XU J X.A review on the CO2 emission reduction scheme and countermeasures in China’s energy and power industry under the background of carbon peak[J]. Sustainability, 2022, 14(2): 879.
[3] 黄宇, 周新鹏, 郭浩德, 等. 风光氢耦合系统的经济随机模型预测控制方法研究[J]. 太阳能学报, 2024, 45(8): 144-153.HUANG Y, ZHOU X P, GUO H D, et al. Research on economic stochastic model prediction control method of wind-solar-hydrogen coupling system[J]. Acta energiae solaris sinica, 2024, 45(8): 144-153.
[4] HUANG W T, ZHANG B H, GE L J, et al.Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer[J]. Journal of energy storage, 2023, 68: 107653.
[5] 李笑竹, 陈来军, 殷骏, 等. 面向低碳供能的多园区共享氢储能系统容量规划[J]. 高电压技术, 2022, 48(7): 2534-2544.LI X Z, CHEN L J, YIN J, et al. Capacity planning of multiple parks shared hydrogen energy storage system for low-carbon energy supply[J]. High voltage engineering, 2022, 48(7): 2534-2544.
[6] 骆钊, 罗蒙顺, 沈鑫, 等. 基于碳捕集-电转气的矿区综合能源系统协同优化调度[J]. 电力系统自动化, 2024, 48(3): 22-30.LUO Z, LUO M S, SHEN X, et al. Collaborative optimal scheduling of coal mine integrated energy system based on carbon capture and power to gas[J]. Automation of electric power systems, 2024, 48(3): 22-30.
[7] 柳思贤, 丁坤, 董海鹰. 考虑碳捕集和电转气的零碳园区综合能源系统经济调度[J]. 太阳能学报, 2024, 45(9): 188-196.LIU S X, DING K, DONG H Y. Zero-carbon economic dispatch of park integrated energy system considering carbon capture and power to gas[J]. Acta energiae solaris sinica, 2024, 45(9): 188-196.
[8] 张文伟, 王维庆, 樊小朝, 等. 利用风电制氧的富氧燃煤电厂低碳能源系统容量优化配置[J]. 电力系统保护与控制, 2023, 51(5): 70-83.ZHANG W W, WANG W Q, FAN X C, et al. Optimal capacity configuration of a low carbon energy system of oxygen-enriched coal-fired power plant using wind power to produce oxygen[J]. Power system protection and control, 2023, 51(5): 70-83.
[9] LI N N, DENG H X, XU Z Z, et al.Effect of oxygen-rich combustion on flame propagation of syngas in a half-open pipe at elevated temperatures[J]. Journal of thermal science, 2024, 33(5): 1920-1934.
[10] 赵国炫, 鲁文军, 喻锟, 等. 基于K-means聚类分析的风电场集电线路保护方法[J]. 电力系统及其自动化学报, 2020, 32(7): 39-46.ZHAO G X, LU W J, YU K, et al. Protection method for wind farm collector line based on K-means clustering analysis[J]. Proceedings of the CSU-EPSA, 2020, 32(7): 39-46.
[11] 丁明, 解蛟龙, 刘新宇, 等. 面向风电接纳能力评价的风资源/负荷典型场景集生成方法与应用[J]. 中国电机工程学报, 2016, 36(15): 4064-4072.DING M, XIE J L, LIU X Y, et al. The generation method and application of wind resources/load typical scenario set for evaluation of wind power grid integration[J]. Proceedings of the CSEE, 2016, 36(15): 4064-4072.
[12] 吴立安, 张廷然, 黄胜训, 等. 低压纯氧燃烧技术在玻纤窑炉的应用[J]. 玻璃, 2023, 50(3): 20-24.WU L A, ZHANG T R, HUANG S X, et al. Application of low pressure oxy-fuel combustion technology in fiberglass furnace[J]. Glass, 2023, 50(3): 20-24.
[13] 胡俊杰, 童宇轩, 刘雪涛, 等. 计及精细化氢能利用的综合能源系统多时间尺度鲁棒优化策略[J]. 电工技术学报, 2024, 39(5): 1419-1435.HU J J, TONG Y X, LIU X T, et al. Multi-time-scale robust optimization strategy for integrated energy system considering the refinement of hydrogen energy use[J]. Transactions of China Electrotechnical Society, 2024, 39(5): 1419-1435.
[14] DONG S B, CHENG H F, NIU Y.Space numerical simulation of full oxygen combustion flame in glass melting furnace based on flue gas preheating[J]. Applied thermal engineering, 2024, 242: 122384.
[15] ZHANG M H, QI Y F, SONG Y B, et al.Simulation on optimizing the elevation angle of tertiary air in a 700t/d glass furnace for clean combustion[C]//Environmental Governance, Ecological Remediation and Sustainable Development. Cham: Springer, 2024: 1069-1085.
[16] 李伟龙, 张晓晴, 胡雅洁, 等. 基于K-means聚类算法的负荷峰谷时段划分[J]. 电气开关, 2024, 62(4): 29-31.LI W L, ZHANG X Q, HU Y J, et al. Load peak-valley period division based on K-means clustering algorithm[J]. Electric switchgear, 2024, 62(4): 29-31.
[17] 郑伟宏, 朱峰刚, 王小娟, 等. 基于PCA-Adaboost-GBDT的短期风电功率预测[J]. 电气自动化, 2024, 46(4): 80-83.ZHENG W H, ZHU F G, WANG X J, et al. Short-term wind power prediction based on PCA-Adaboost-GBDT[J]. Electrical automation, 2024, 46(4): 80-83.
[18] 黎耀康, 杨海东, 徐康康, 等. 基于加权UMAP和改进BLS的锂电池温度预测[J]. 储能科学与技术, 2024, 13(9): 3006-3015.LI Y K, YANG H D, XU K K, et al. Temperature prediction of lithium batteries based on weighted UMAP and improved BLS[J]. Energy storage science and technology, 2024, 13(9): 3006-3015.
[19] 刘朝蓬, 王海云, 王维庆, 等. 基于多运行场景与富氧燃烧捕集技术的低碳能源系统容量优化配置[J]. 电力系统保护与控制, 2023, 51(23): 115-129.LIU Z P, WANG H Y, WANG W Q, et al. Capacity optimization of low carbon energy systems based on multiple operating scenarios and oxygen-enriched combustion capture technology[J]. Power system protection and control, 2023, 51(23): 115-129.
[20] 欧阳明高, 於晨, 葛磊, 等.中国氢能产业展望[R]. 波士顿咨询公司, 欧阳明高院士团队. 2023.
OUYANG M G, YU C, GE L, et al.Outlook on China’s hydrogen energy industry[R]. Boston Consulting Group, Academician Team of Ouyang Minggao, 2023.
[21] SLATER H, DE B D, 钱国强, 等. 2020年中国碳价调查[R]. 中国碳论坛. 北京, 2020.12.
SLATER H, DE B D, QIAN G Q, et al.China carbon pricing survey 2020[R]. China Carbon Forum. Beijing, 2020.
[22] 张贤, 杨晓亮, 鲁玺, 等. 中国二氧化碳捕集利用与封存 (CCUS) 年度报告 (2023)[R]. 中国21世纪议程管理中心,全球碳捕集与封存研究院, 清华大学. 2023.
ZHANG X, YANG X L, LU X, et al. Annual report on carbon capture, utilization,storage (CCUS) in China (2023)[R]. 21st Century Agenda Management Center of China, Global Carbon Capture and Storage Research Institute, Tsinghua University. 2023.
[23] NIE H Q, LI Z Y, KUANG S B, et al.Numerical investigation of oxygen-enriched operations in blast furnace ironmaking[J]. Fuel, 2021, 296: 120662.
PDF(1720 KB)

Accesses

Citation

Detail

Sections
Recommended

/