Design of a biomass-fueled system to produce hydrogen/power: Environmental analyses and Bi-objective optimization

被引:5
作者
Hai, Tao [1 ,2 ,3 ]
Ali, Masood Ashraf [4 ]
Alizadeh, As'ad [5 ]
Almojil, Sattam Fahad [6 ]
Singh, Pradeep Kumar [7 ]
Almohana, Abdulaziz Ibrahim [6 ]
Almoalimi, Khaled Twfiq [6 ]
Alali, Abdulrhman Fahmi [6 ]
机构
[1] Qiannan Normal Univ Nationalities, Sch Comp & Informat, Duyun 558000, Guizhou, Peoples R China
[2] Key Lab Complex Syst & Intelligent Optimizat Guizh, Duyun 558000, Guizhou, Peoples R China
[3] Univ Teknol MARA, Inst Big Data Analyt & Artificial Intelligence IBD, Shah Alam 40450, Selangor, Malaysia
[4] Prince Sattam bin Abdulaziz Univ, Coll Engn, Dept Ind Engn, Alkharj 16273, Saudi Arabia
[5] Cihan Univ Erbil, Coll Engn, Dept Civil Engn, Erbil, Iraq
[6] King Saud Univ, Coll Engn, Dept Civil Engn, POB 800, Riyadh 11421, Saudi Arabia
[7] GLA Univ, Inst Engn & Technol, Dept Mech Engn, Mathura 281001, Uttar Pradesh, India
基金
中国国家自然科学基金;
关键词
Biomass-fueled system; Bi-objective optimization; Hydrogen production; Exergy-based analyses; Pareto frontier; MINIMUM-QUANTITY LUBRICATION; GEOTHERMAL POWER-PLANT; MULTIOBJECTIVE OPTIMIZATION; COGENERATION SYSTEM; WASTE HEAT; THERMOECONOMIC ANALYSIS; TRIGENERATION SYSTEM; INTEGRATED-SYSTEM; EXERGY ANALYSIS; ORGANIC-FLASH;
D O I
10.1016/j.ijhydene.2022.11.279
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Due to the fact that biomass fuel is capable of powering multi-generation systems, has a high-efficiency performance, and produces fewer harmful gases, biomass fuel can prove to be a valuable heat source. In this regard, this study introduces a new biomass-fueled power and hydrogen generation scheme. There are three subsystems involved in the study: a biomass-based gas turbine cycle, a steam flash cycle, and an electrolyzer unit. To begin, a parametric analysis is performed on the system from the perspectives of thermodynamics, thermoeconomic, and the environment. As a next step, four effective variables are evaluated for single-objective and bi-objective optimizations in order to determine the optimal working conditions. The results of bi-objective optimization indicate 48.78% and 41.40% energy and exergy efficiencies for the presented system, separately, with 8093 kW output power, 86.1 kg/day hydrogen production, 8684 t/MWh CO2 emission, and 27.9 $/MWh Levelized Cost of Product. Compared to the base condition, hydrogen production grows 29.78%, but output power drops by 1.14%. Furthermore, hydrogen Production Optimum Design accounts for the maximum amount of hydrogen production in optimal conditions, producing 94.73 kg/day. The gasifier destroys the most exergy under base and optimum conditions. (c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:154 / 172
页数:19
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