共 81 条
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.
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页码:154 / 172
页数:19
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