热化学反应器放热过程模拟及参数影响规律

doi:10.19799/j.cnki.2095-4239.2022.0077

储能科学与技术 ›› 2022, Vol. 11 ›› Issue (7): 2133-2140.doi: 10.19799/j.cnki.2095-4239.2022.0077

热化学反应器放热过程模拟及参数影响规律

李仲博¹(), 汉京晓¹, 王成成², 杨慧², 杨娜², 尹少武²^,³, 王立²^,³, 童莉葛²^,³(), 唐志伟⁴, 丁玉龙⁵

^1.北京市热力集团有限责任公司，北京 100028
^2.北京科技大学能源与环境工程学院，北京 100083
^3.冶金工业节能减排北京市重点实验室，北京 100083
^4.北京工业大学环能学院，北京 100022
^5.英国伯明翰大学储能中心，英国伯明翰 B152 TT

收稿日期:2022-02-15 修回日期:2022-03-15 出版日期:2022-07-05 发布日期:2022-06-29
通讯作者: 童莉葛 E-mail:digilee@126.com;tonglige@me.ustb.edu.cn
作者简介:李仲博（1982—），男，博士研究生，高工，主要研究方向为能源存储装置与系统优化。E-mail：digilee@126.com；

Simulation and the parameter influence relationship of the discharging process in a thermochemical reactor

Zhongbo LI¹(), Jingxiao HAN¹, Chengcheng WANG², Hui YANG², Na YANG², Shaowu YIN²^,³, Li WANG²^,³, Lige TONG²^,³(), Zhiwei TANG⁴, Yulong DING⁵

^1.Beijing District Heating Group, Beijing 100028, China
^2.School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
^3.Beijing Key Laboratory for Energy Saving and Emission Reduction in Metallurgical Industry, Beijing 100083, China
^4.Beijing University of Technology, Beijing 100022, China
^5.School of Chemical Engineering, University of Birmingham, Birmingham B152 TT, UK

Received:2022-02-15 Revised:2022-03-15 Online:2022-07-05 Published:2022-06-29
Contact: Lige TONG E-mail:digilee@126.com;tonglige@me.ustb.edu.cn

摘要/Abstract

摘要：

热化学储热因其具有储热密度高、存储过程几乎无热量损失等优点在推动可再生能源的利用、助力实现“双碳”目标中具有重要作用，其中热化学反应器的设计及性能优化是重要环节。本文对以硅胶球为储热材料的热化学反应器进行了放热实验，并建立了二维仿真模型。通过调整模型参数中硅胶球最大吸水量、亲和系数、非均质参数及指前因子和活化能等参数使数值模拟和实验的反应器出口温度结果具有良好的一致性。参数中对空气出口温度影响较大的有亲和系数、非均质参数及硅胶球最大吸水量，比热容的影响最小，指前因子对空气出口温度的影响大于活化能。其中非均质参数由1.2增大至2.8时，空气最高出口温度由140 ℃降低至70 ℃。增大硅胶球的比热容在降低反应器最高出口温度的同时，还有助于延长到达最高出口温度的时间。该研究结果结合小型反应器实验数据可以对大规模储热装置多次充放热循环后的性能进行更加准确地预测，进而优化反应器及系统设计。

关键词: 热化学储热, 反应器设计优化, 数值模拟, 放热

Abstract:

Thermochemical heat storage plays an important role in promoting utilization of renewable energy and achieving the "double carbon" goal due to its high heat storage density and nearly zero heat loss in the storage process. Thus, the design and performance optimization of thermochemical reactors are important. In this paper, we describe a two-dimensional simulation model constructed to investigate thermochemical reactor discharge using silica-gel as a heat storage material. By adjusting the model's parameters, e.g., the maximum water absorption, affinity coefficient, inhomogeneity, the preexponential factor, and the activation energy of the silica gel sphere, the results of a numerical simulation and experiment at reactor outlet temperature were in good agreement. We found that the affinity coefficient parameter, inhomogeneity parameter, and maximum water absorption of the silica gel sphere had more influence on the air outlet temperature among all considered parameters. The specific heat capacity was the least. When the heterogeneity parameter was increased from 1.2 to 2.8, the maximum air outlet temperature decreased from 140 ℃ to 70 ℃. The pre-exponential factor was found to have greater influence on air outlet temperature than activation energy. In addition, increasing the specific heat capacity of the silica gel reduced the maximum outlet temperature of the reactor and helped prolong the time required to reach the maximum outlet temperature. Combined with the experimental data of a small-scale reactor, the performance of a large-scale heat storage device can be predicted accurately after multiple charge and discharge cycles. Thus, the reactor and system design can be optimized.

Key words: thermochemical heat storage, reactor design optimization, numerical simulation, discharging

中图分类号:

TK 02

李仲博, 汉京晓, 王成成, 杨慧, 杨娜, 尹少武, 王立, 童莉葛, 唐志伟, 丁玉龙. 热化学反应器放热过程模拟及参数影响规律[J]. 储能科学与技术, 2022, 11(7): 2133-2140.

Zhongbo LI, Jingxiao HAN, Chengcheng WANG, Hui YANG, Na YANG, Shaowu YIN, Li WANG, Lige TONG, Zhiwei TANG, Yulong DING. Simulation and the parameter influence relationship of the discharging process in a thermochemical reactor[J]. Energy Storage Science and Technology, 2022, 11(7): 2133-2140.

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网格类型	网格数量	2.8 h反应器放热总量(数值模拟)
较粗网格	43528	6.68 MJ
中等网格	65274	6.95 MJ
较细网格	82332	7.16 MJ

参数	数值
床层孔隙率，ε_b	0.438
硅胶球热导率，λ_p/[W/(m·K)]	0.35
硅胶球密度，ρ_p/(kg/m³)	1.2×10³
亲和系数，D	0.48
活化能，E_a/(J/mol)	4.15×10⁴
指前因子，D₀/(m²/s)	1.3×10^-3
最大吸水量，W₀/kg·kg^-1	0.346
非均质参数，n	1.6
硅胶球粒径，d_p/m	4×10^-3
空气进口温度，T_in/℃	38
进口空气流速，v_a/(m/s)	0.428
进口空气相对湿度，RH/%	80

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热化学反应器放热过程模拟及参数影响规律

Simulation and the parameter influence relationship of the discharging process in a thermochemical reactor

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