Energy, exergy and economic analyses and multiobjective optimization of a novel solar multi- generation system for production of green hydrogen and other utilities

被引:40
作者
Colakoglu, Mert [1 ]
Durmayaz, Ahmet [1 ]
机构
[1] Istanbul Tech Univ, Energy Inst, TR-34469 Maslak, Istanbul, Turkey
关键词
Green hydrogen production; Multiobjective optimization; Multi-generation; Energy analysis; Exergy analysis Economic analysis; MULTIGENERATION SYSTEM; INTEGRATED-SYSTEM; GAS-TURBINE; PERFORMANCE ASSESSMENT; THERMODYNAMIC PERFORMANCE; POWER TOWER; CYCLE; DESIGN; DRIVEN; PLANT;
D O I
10.1016/j.ijhydene.2021.12.203
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
Renewable energy based multi-generation systems can help solving energy-related environmental problems. For this purpose, a novel solar tower-based multi-generation system is proposed for the green hydrogen production as the main product. A solar-driven open Brayton cycle with intercooling, regeneration and reheat is coupled with a regenerative Rankine cycle and a Kalina cycle-11 as a unique series of power cycles. Significant portion of the produced electricity is utilized to produce green hydrogen in an electrolyzer. A thermal energy storage, a single-effect absorption refrigeration cycle and two domestic hot water heaters are also integrated. Energy, exergy and economic analyses are performed to examine the performance of the proposed system, and a detailed parametric analysis is conducted. Multiobjective optimization is carried out to determine the optimum performance. Optimum energy and exergy efficiencies, unit exergy product cost and total cost rate are calculated as 39.81%, 34.44%, 0.0798 $/kWh and 182.16 $/h, respectively. Products are 22.48 kg/h hydrogen, 1478 kW power, 225.5 kW cooling and 7.63 kg/s domestic hot water. Electrolyzer power size is found as one of the most critical decision variables. Solar subsystem has the largest exergy destruction. Regenerative Rankine cycle operates at the highest energy and exergy efficiencies among power cycles. (c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:19446 / 19462
页数:17
相关论文
共 76 条
[1]   Multi-objective optimization and exergoeconomic analysis of a continuous solar-driven system with PCM for power, cooling and freshwater production [J].
Abbasi, Hamid Reza ;
Pourrahmani, Hossein .
ENERGY CONVERSION AND MANAGEMENT, 2020, 211
[2]   Energetic and exegetic analysis of a novel multi-generation system using solar power tower [J].
Abid, Muhammad ;
Adebayo, Victor Oluwatobi ;
Atikol, Ugur .
INTERNATIONAL JOURNAL OF EXERGY, 2019, 29 (2-4) :211-235
[3]   Energy, exergy, and economic analyses of integration of heliostat solar receiver to gas and air bottom cycles [J].
Ahmadi, A. ;
Ehyaei, M. A. ;
Jamali, D. H. ;
Despotovic, M. ;
Esmaeilion, Farbod ;
Abdalisousan, Ashkan ;
Hani, Ehab Bani .
JOURNAL OF CLEANER PRODUCTION, 2021, 280
[4]   Thermodynamic modeling and multi-objective evolutionary-based optimization of a new multigeneration energy system [J].
Ahmadi, Pouria ;
Dincer, Ibrahim ;
Rosen, Marc A. .
ENERGY CONVERSION AND MANAGEMENT, 2013, 76 :282-300
[5]   Multi-criteria exergoeconomic optimization for a combined gas turbine-supercritical CO2 plant with compressor intake cooling fueled by biogas from anaerobic digestion [J].
Al-Rashed A.A.A.A. ;
Afrand M. .
Energy, 2021, 223
[6]   Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems [J].
Alirahmi, Seyed Mojtaba ;
Razmi, Amir Reza ;
Arabkoohsar, Ahmad .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 142 (142)
[7]  
[Anonymous], ENG EQUATION SOLVER
[8]   Performance analysis of a novel solar PTC integrated system for multi-generation with hydrogen production [J].
Bamisile, Olusola ;
Huang, Qi ;
Hu, Weihao ;
Dagbasi, Mustafa ;
Kemena, Awoh Desire .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (01) :190-206
[10]   A solar-driven lumped SOFC/SOEC system for electricity and hydrogen production: 3E analyses and a comparison of different multi-objective optimization algorithms [J].
Cao, Yan ;
Parikhani, Towhid .
JOURNAL OF CLEANER PRODUCTION, 2020, 271