Optimizing sustainable energy systems: A comparative study of geothermal-powered desalination for green hydrogen production

被引:5
作者
Chitgar, Nazanin [1 ]
Sadrzadeh, Mohtada [1 ]
机构
[1] Univ Alberta, Dept Mech Engn, Adv Water Res Lab AWRL, Edmonton, AB T6G 1H9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Geothermal energy; Multi-effect distillation (MED); Reverse osmosis (RO); Proton exchange membrane electrolyzer; (PEME); Multi-objective optimization; MULTIPLE-EFFECT EVAPORATION; MULTIOBJECTIVE OPTIMIZATION; EXERGY ANALYSIS; WATER; RO; DRIVEN; PERFORMANCE; MODEL;
D O I
10.1016/j.desal.2024.118219
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The synergy between hydrogen and water is crucial in moving towards a sustainable energy future. This study explores the integration of geothermal energy with desalination and hydrogen production systems to address water and clean energy demands. Two configurations, one using multi-effect distillation (MED) and the other reverse osmosis (RO), were designed and compared. Both configurations utilized geothermal energy, with MED directly using geothermal heat and RO converting geothermal energy into electricity to power desalination. The systems are evaluated based on various performance indicators, including net power output, desalinated water production, hydrogen production, exergy efficiency, and levelized costs. Multi-objective optimization using an artificial neural network (ANN) and genetic algorithm (GA) was conducted to identify optimal operational conditions. Results highlighted that the RO-based system demonstrated higher water production efficiency, achieving a broader range of optimal solutions and lower levelized costs of water (LCOW) and hydrogen production, while the MED-based system offered economic advantages under specific conditions. A case study focused on Canada illustrated the potential benefits of these systems in supporting hydrogen-powered vehicles and residential water needs, emphasizing the significant impact of using high-quality desalinated water to enhance the longevity and efficiency of proton exchange membrane electrolyzers (PEME). This research provides valuable insights into the optimal use of geothermal energy for sustainable water and hydrogen production.
引用
收藏
页数:19
相关论文
共 49 条
[1]   Thermodynamic and exergoeconomic analysis of two novel tri-generation cycles for power, hydrogen and freshwater production from geothermal energy [J].
Abdolalipouradl, Mehran ;
Mohammadkhani, Farzad ;
Khalilarya, Shahram ;
Yari, Mortaza .
ENERGY CONVERSION AND MANAGEMENT, 2020, 226
[2]   Colloidal Fouling of Nanofiltration Membranes: Development of a Standard Operating Procedure [J].
Al Mamun, Md Abdullaha ;
Bhattacharjee, Subir ;
Pernitsky, David ;
Sadrzadeh, Mohtada .
MEMBRANES, 2017, 7 (01)
[3]   Integrated assessment of green hydrogen production in California: Life cycle Greenhouse gas Emissions, Techno-Economic Feasibility, and resource variability [J].
Al-Ghussain, Loiy ;
Alrbai, Mohammad ;
Al-Dahidi, Sameer ;
Lu, Zifeng .
ENERGY CONVERSION AND MANAGEMENT, 2024, 311
[4]   Development of a steady-state mathematical model for MEE-TVC desalination plants [J].
Al-Mutaz, Ibrahim S. ;
Wazeer, Irfan .
DESALINATION, 2014, 351 :9-18
[5]   Modeling and performance optimization of a solid oxide electrolysis system for hydrogen production [J].
AlZahrani, Abdullah A. ;
Dincer, Ibrahim .
APPLIED ENERGY, 2018, 225 :471-485
[6]  
Asad A., 2020, Nanocomposite Membranes for Water and Gas Separation, P1
[7]   Thermo-enviro-economic analysis of different power cycle configurations for green hydrogen production from waste heat [J].
Ata, Sadik ;
Kahraman, Ali ;
Sahin, Remzi ;
Aksoy, Mehmet .
ENERGY CONVERSION AND MANAGEMENT, 2024, 301
[8]   Techno-economic assessment of green hydrogen production integrated with hybrid and organic Rankine cycle (ORC) systems [J].
Baral, Suresh ;
Sebo, Juraj .
HELIYON, 2024, 10 (04)
[9]   Thermal characterization of an alkaline electrolysis cell for hydrogen production at atmospheric pressure [J].
Barco-Burgos, J. ;
Eicker, U. ;
Saldana-Robles, N. ;
Saldana-Robles, A. L. ;
Alcantar-Camarena, V .
FUEL, 2020, 276
[10]  
Bejan A, 1995, Thermal design and optimization