알카라인 수전해 시스템 대상 온도와 압력 동시 제어 조건의 수소 생산 특성 평가
Evaluation of Hydrogen Production Characteristics under Simultaneous Temperature and Pressure Control Conditions in Alkaline Water Electrolysis System
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초록
The alkaline water electrolysis (AWE) system must accommodate load variations to effectively manage the intermittency of renewable energy sources. This study divides the system into two components: the AWE stack and the balance of plant (BOP). It compares the operational characteristics of the system under different temperature and pressure conditions during load variation. The AWE system was initially focused on pressure control, as it is easier to manage, followed by temperature control. The stack’s performance was analyzed using C++ based numerical simulations, and the BOP system was evaluated through Aspen+ based process analysis. Key performance indicators for the stack included cell voltage, current density, Faraday efficiency, and hydrogen production across a temperature range of 60 85°C and pressure range of 1 30 bar under load conditions of 10%–90%. Results revealed that as the pressure decreased and temperature increased, both the current density and hydrogen production improved. Under low-load conditions, hydrogen production was found to be more sensitive to changes in pressure and temperature; this sensitivity diminished at higher loads. Furthermore, temperature control significantly influenced stack performance more than pressure control. Notably, the BOP system’s power consumption constituted 23% of the stack’s input power at a 10% load, decreasing to 9.2% at a 90% load.
Abstract
The alkaline water electrolysis (AWE) system must accommodate load variations to effectively manage the intermittency of renewable energy sources. This study divides the system into two components: the AWE stack and the balance of plant (BOP). It compares the operational characteristics of the system under different temperature and pressure conditions during load variation. The AWE system was initially focused on pressure control, as it is easier to manage, followed by temperature control. The stack’s performance was analyzed using C++ based numerical simulations, and the BOP system was evaluated through Aspen+ based process analysis. Key performance indicators for the stack included cell voltage, current density, Faraday efficiency, and hydrogen production across a temperature range of 60 85°C and pressure range of 1 30 bar under load conditions of 10%–90%. Results revealed that as the pressure decreased and temperature increased, both the current density and hydrogen production improved. Under low-load conditions, hydrogen production was found to be more sensitive to changes in pressure and temperature; this sensitivity diminished at higher loads. Furthermore, temperature control significantly influenced stack performance more than pressure control. Notably, the BOP system’s power consumption constituted 23% of the stack’s input power at a 10% load, decreasing to 9.2% at a 90% load.