Exergoeconomic evaluation and multi-objective optimization of a novel geothermal-driven zero-emission system for cooling, electricity, and hydrogen production: capable of working with low-temperature resources

被引:2
|
作者
Bahrami, Hamid-Reza [1 ]
Rosen, Marc A. [2 ]
机构
[1] Qom Univ Technol, Dept Mech Engn, POB 37195-1519, Qom, Iran
[2] Ontario Tech Univ, Fac Engn & Appl Sci, 2000 Simcoe St North, Oshawa, ON L1G 0C5, Canada
关键词
Hydrogen production; Absorption refrigeration; Geothermal energy; Multigeneration; Half-effect absorption chiller; ORGANIC RANKINE-CYCLE; CARBONATE FUEL-CELL; POWER-SYSTEM; WASTE HEAT; PERFORMANCE; MIXTURE; DESIGN; ENERGY;
D O I
10.1186/s40517-024-00293-7
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Geothermal energy is an abundant natural resource in many regions around the world. However, in some areas, the temperature of the geothermal energy resource is too low to be efficiently harvested. Organic Rankine cycles (ORCs) are known for recovering heat from low-temperature resources and generating electricity. Furthermore, half-effect absorption chillers (HEACs) are designed to produce cooling with low-temperature resources. This study proposes a novel configuration that utilizes an ORC for electricity generation, a HEAC for cooling production, and a PEM electrolysis system to produce hydrogen. The power section consists of two turbines, one driven by the vapor produced from the geothermal flow expansion, which powers the PEM section, while the other turbine in the ORC is used to drive pumps and electricity production. First, the system is thermoeconomically analyzed for an initial set of inputs. Then, various parameters are analyzed to determine their influences on system performance. The analyses reveal that the system can work with geothermal source temperatures as low as 80 degrees C, but the exergy and energy (thermal) efficiencies decrease to around 17% under the base settings. Furthermore, the system is capable of working with resource temperatures up to 170 degrees C. Ten parameters are found to affect the system's efficiency and effectiveness. To optimize the system, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) is implemented to find the optimum conditions. The objective functions are exergy efficiency and unit polygeneration cost (UPGC), which can conflict. The optimization shows that the exergy efficiency of the system can reach 48% in the optimal conditions (for a heat source temperature of 112 degrees C and a mass flow rate of geothermal fluid of 44 kg/s), with a hydrogen production rate of 1.1 kg/h.
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页数:34
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