Introduction
Green hydrogen is a promising renewable energy vector for various industrial and mobility sectors decarbonization. The technology for making green hydrogen is known as electrolysis and is a mature technology; however, the electrolyzer needed for this purpose has faced the integration problems associated with various power sectors such as PV-arrays and grid-based electricity due to intermittent nature of both. The integration of renewable energy into existing grid systems also faced inherent challenges in terms of wind and solar variability in different geographic locations. The grid stability is further affected in terms of power imbalances by the changes in wind / sun / weather patterns or fluctuations in daily / seasonal patterns. In the case of solar insolation and wind speed, it causes inconsistencies in voltage and frequencies parameters, which in future needs AI powered central systems to supply stable grid powers and thus enhancing the efficiency of electrolyzer technologies to produce green hydrogen and to fulfill the required demand. Followed by this, further optimization is needed to integrate the electrolyzer directly with PV-array with definite sizing. In the case of wind-based sources, BESS systems could be the best option.
Electrolyzer technologies are currently running with several types, and each has its own efficiency and cost analysis have been done. For instance, PEM electrolyzer BOSCH 1.25MW system shows the highest efficiency of 80% with ramping rate <1s but its cost is affected by the use of scare materials such as IrO
2 / Pt and upfront cost comes at (700-1400
$/Kg)[
1] while alkaline electrolyzer is more mature technology and cheaper (500-1000
$/Kg) but its slow ramping (min) and lower efficiency (~ 65 -70%) makes it less suitable for intermittent renewables. The highest efficiency obtained is for SOEC (solid oxide electrolyzer) but it’s not suitable under dynamic grid conditions. The current cost of green H
2 comes at 3.75 – 6
$/kg when compared to fossil fuel alternatives (1.5 -2
$ / kg). The 2040 vision for green H
2 cost would be around 2
$ with the scale up in production and cheaper renewable power availability [
1]. This can be cut short with the help of recent advances in automative manufacturing and new materials innovation to achieve the DOE target of 1
$ / kg of hydrogen production by 2031.
More studies have recently been conducted with respect to the integration of renewable energy with electrolyzer. For instance, Su et. Al [
2] studied the optimization and analysis of a PV-coupled electrolyzer direct coupling system. Here, focus was put forward to effectively design and sizing the system to enhance hydrogen production from solar energy. The main goal of the work was to improve PV modules and electrolyzer to achieve high efficiency and reduced cost. The PV source operating point matching with that of an electrolyzer is found to be an important parameter to achieve a best performance. It is found that a well-designed direct coupling system can significantly increase energy transfer efficiency thereby offering deep insights into the efficiency challenges associated with power electronics. Next, Khalilnejad and Riahy studied [
3] the effect of hybrid wind – PV based system embedded with an alkaline electrolyzer. The goal of studying this is to obtain stable hydrogen output throughout the year by the integration of wind turbines, PV- arrays and energy storage solutions. The study also emphasizes the way to reduce the effect of intermittent renewable energy supply by BESS based system to make a coordinated effort to make hydrogen in synergy with energy supply. When renewable energy generation is insufficient, the operational mode involves the combined input powers from both batteries and grid. This hybrid approach not only enhances hydrogen production but also decreases carbon emission reductions. Another PV coupled with alkaline electrolyzer system discussed the performance of commercial alkaline electrolyzer of 1 nm
3 / hr. capacity using actual weather data for irradiance, temperature, and wind speed [
4]. The capacity of both PV and wind turbines are 6.8 kW and 6 kW, respectively. The main finding of the work is related to the application of two strategies for proper integration. They are viz. operation between smallest limit for brief period and addition of extra battery bank. The overall service life and performance of the electrolyzer increased by 63.1% in number of operational steps and increases in energy efficiency by 7.6%. Followed by this, another study [
5] assessed the technical and economic viability of using photovoltaic -fuel cell battery hybrid system in Amazon region of Brazil. HOMER software was used to make comparative cost analysis, and it was found that the first cost was around
$87138 and electricity cost 351
$ / kWh. Besides onshore renewable energy sources, offshore wind firms are coupled to electrolyzer in Germany [
6]. The idea is to check the economic viability in ancillary service markets. The best bidding approach for ancillary services and best sizing power to hydrogen facilities are developed as strategies and it is found that the offshore wind based H
2 production is more sustainable. It is suggested that providing subsidies like those for conventional offshore windfarm could reduce further costs.
The volatile power sources significantly hamper hydrogen production. Various advanced control systems such as battery-hysteresis cycle, model-based scheduling and frequency response were developed by Alsagher and wilcken et. Al [
7] to mitigate this effect. A model predictive control [MPC] algorithm is developed by researchers which dynamically adjust electrolyzer load to support a breakdown energy balance on the DC bus bar linking generation and demand. The system is assessed for 5 kW PEM electrolyzer and it achieves automated energy balancing for both grid connected and standalone systems. Key outcomes of this study are 6.3 – 7.6% improved energy efficiency and enhanced H
2 yield under variable renewable inputs. Besides these, a few studies associated with the successful coupling of electrolyzer with renewable energy sources have been conducted in recent past [8 - 16]. Next, a bilevel optimization model is proposed by Li et. Al [
17] for the wind-photovoltaic electrolyzer system sizing embedded with hydrogen energy storage [HESS] and economic performance. The volatility is addressed via source load interaction at the interface between wind solar as well as demand responds thus reducing cost and improving output matching. Followed upon this; a total annual cost (TAC) model is developed by integrating levelized cost of storage (LCOS) for HESS, which shows a 7.3% reduction in TAC and LCOS value drop by 10.3%. A scale up project was recently developed by Sonya et. Al. [
18] using an area over 10 m
2 by exploring various PV-electrolysis combinations, which includes thermally integrated PV electrolyzer and direct coupling of PV modules to PEM electrolyzer. The main outcome of the so-called PECSYS project is to increase the solar to H
2 efficiencies ranging from 4% to 13% by using bifacial PV modules which exceed 10% over extended periods. Similarly, a kilowatt scale solar H
2 production system using an integrated photoelectrochemical device is recently developed by Holmes- gentle et. Al. [
19]. The thermally integrated PEC device able to achieve solar-to hydrogen efficiency at 20% and the system efficiency at 5%. This makes it to further scale up lab scale to kW scale pilot facility. The research applies novel strategies such as managing solar irradiation, thermal integration, and electrolysis process to find major energy losses as well as increasing the system level efficiency.
The operational experience, performance testing and system integration of alkaline and PEM electrolyzer in coupled with PV and wind based renewable sources recently discussed in NREL case study report [
20]. The project wind-2- H
2, which is a collaboration between XCel Energy and NREL, is a pioneering demonstration facility at NREL, specifically focused on production of hydrogen from renewable energy sources. The project shows the production and storage of H
2 and converting it into electricity by the integration of wind turbines and photovoltaic arrays with electrolyzer. The key aim of the project was to reduce H
2 costs to 2 – 3
$/kg to match the DOE target and to improve the system efficiency with the inclusion of power electronics. The project further employs H
2 storage as an effective solution to meet challenges of variable renewable energy sources aiming to enhance further system performance and reduce the cost of renewable H
2 production. The grid integration advancement has been incorporated in another case study [
21] as it needed for balancing renewable energy variability and enhance grid stability. Under this study, which involves a 1.25 MW PEM electrolyzer project predictive modelling tools are developed which focus on performance characterization under diverse grid scenarios. The future direction in this case is to mitigate the associated challenges in communication protocols, safety compliance and grid dynamics management and to scale up both centralized and decentralized systems and the integration of technology synergies like offshore H
2 island and digital twins for the hardware in the loop testing. A further study has been conducted for the optimization of integrated renewable energy – electrolysis system [
22]. In this case, the main priority was to refine constructive interaction between renewable energy and that of grid with a balanced approach to absorb the excess energy for H2 production with electrolyzer. However, in this case, the cost is still highest at 5-6
$ / kg which is mostly driven by electrolyzer expenses and renewable energy variability. U.S. DOE H
2shot program was launched recently to get the desired 1
$/kg of H
2 by 2031 to address the cost issue.
With reference to cost analysis, a recent report published by IRENA [
23] stressed the scale up of electrolyzer to meet the 1.5°C goal. The study mentioned that the cost of H
2 production is controlled by key components such as electricity supply, electrolyzer CAPEX and use rates. In this case, electricity cost ranges from 20 – 65
$/ MWh depends on location and then next electrolyzer costs accounted for 25 – 40% upfront cost with current costing of 700-1400
$/ kWh and it is projected that the cost significantly reduced by 2030 through scaled manufacturing. Strategic optimization of approaches such as electrolyzer innovation, policy support (carbon pricing and mandates) and inclusion of leverageable low-cost renewables in ideal locations. Islanded H
2 production with huge renewable energy potential serves as H
2 export hubs. The cost and environmental impact of such systems is recently studied by Mazzoti M
et. al. [
24]. The researcher proposed that using hybrid systems combining different electricity sources offer the best economic and environmental performance. The main challenges met here are the associated catalysts for electrolyzer scale up due to materials scarcity (IrO
2 and Pt used for PEM electrolyzer) and the required land for installation of renewable energy infrastructure. With reference to export hub, a case study was recently proposed by Mio et. Al [
25] by considering the Trieste port with the application of different hydrogen production pathways to make grey, blue, green and grid based H
2. The study finds that the LCOH for grey H
2 is comparable to green and grid H
2 and Green H
2 has competitive disadvantage in terms of total cost ownership for H
2 vehicle is more than the diesel equivalents.
So far, we have discussed various integrated system and related technoeconomic associated to production of green H2. Now we will focus on recent progress in electrolyzer research and gap behind their performance integration with both renewable and grid based on electrical power followed by establishing objectives of the current experimental and performance study of a 25-kW alkaline commercial electrolyzer integrated with hybrid power supply from PV and grid.
Electrolyzer are the primary support mechanism for grid-based electricity power management combined with renewable energy. The idea here is that the electrolyzer can consume the surplus power by converting it into hydrogen and electricity in the form of hydrogen storage. A recent review [
26] discussed the electrolyzer based system for providing ancillary services. Electrolyzer supports functions like voltage and frequency control, grid balancing by using excess electricity and converting it into H
2. One of the recent challenges faced by alkaline electrolyzer is its system efficiency when running under low loads < 30% capacity due to the electrical limitations imposed by fluctuating renewable energy sources (RES). To address this Xia
et. al. [
27] developed a multi-mode self-optimization electrolysis strategy which adjusted dynamically voltage/current based on real time RES inputs and AWE operating states enhancing adaptability to variable power conditions. The approach improves efficiency from 30% - 53.21% under 15% load and expands operational range from 30 -100% of rated capacity confirmed for both lab scale and commercial systems. The method also stabilizes H
2 output by improving thermal management and electrical response without required hardware modifications. Such approaches are important to reduce energy consumption to 51-57 kWh/kg H
2 and to achieve a stack lifetime of 7-10 years. Besides dynamical adjustment, alkaline electrolyzer also suffers from H
2 cross overs, which is a major challenge for renewable energy integration. The current zero gap designs show high H
2 cross over (supersaturation level: 8 – 80 at the diaphragm electrolyte interface) due to imperfect electrode – diaphragm contact, which causes unstable performance under dynamic loads. A finite-gap configuration [500 μm] has been designed by Lua Garcia Boras et. Al. [
28] to mitigate this. Innovation reduces cross-over dramatically to a supersaturation level (2 - 4). Here, cathodes gaps proving particularly effective at lowering gas impurities compared to anode gaps. It enables AWE to run safely across a broad range without compromising efficiency. Next, the effect of operating temperature on the electrolyzer at low current density limitations has been reviewed by Lohman- Richters et. Al. [
29]. Higher operating temperature [70 - 200
°C] reduces cell voltage requirement s thus improving energy efficiency and allowing thermal integration with industrial processes. It is found that material stability is still a challenge for components like catalysts, diaphragm, and electrode. They must be stable under corrosive molten hydroxides and elevated temperature.
Recent advances show stable operation upto 150°C with experimental systems achieving 200°C as operating temperature using robust materials like porous metal oxide matrices and PTFE based components. However, the technology is not yet conducted for higher TRL and to be scale up it requires addressing the capital costs, durability (which target 7-10 years for stacks) and infrastructure gaps.
From the above critical analysis of the current state of the art, the electrolyzer parameter study is still lacking in terms of a pilot level system integrated with grid-based electricity and PV for green hydrogen production. The main goal of the current work is to analyze various aspects of electrolyzer parameters such as stack efficiency, stack current and voltage behavior with respect to electrolyte temperature and balance of plant discussion in a real case scenario. Here, we have adapted protocols from NREL case study wind 2H2 project. But the main novelty here is to understand how hydrogen flow rate behaves with stack current at various time of day with integration of PV and grid-based hybrid power sources. We also made a correlation between stack power and hydrogen output in (Kg) following system efficiency, which has not been done for a commercial pilot system of KW capacity to the best of our knowledge. Followed by this, our next goal is to calculate the LCOH by applying the AGORA tools to get a rough estimate of cost of green hydrogen production and build strategy to further improve the condition in a reverse engineering scale from pilot scale to lab level.