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Distributed generation is a vital component of the national economic sustainable development strategy and environmental protection, and also the inevitable way to optimize energy structure and promote energy diversification. The power generated by renewable energy is unstable, which easily causes voltage and frequency fluctuations and power quality problems. An adaptive online adjustment particle swarm optimization (AOA-PSO) algorithm for system optimization is proposed to solve the technical issues of large-scale wind and light abandonment. Firstly, a linear adjustment factor is introduced into the particle swarm optimization (PSO) algorithm to adaptively adjust the search range of the maximum power point voltage when the environment changes. In addition, the maximum power point tracking method of the photovoltaic generator set with direct duty cycle control is put forward based on the basic PSO algorithm. Secondly, the concept of recognition is introduced. The particles with strong recognition ability directly enter the next iteration, ensuring the search accuracy and speed of the PSO algorithm in the later stage. Finally, the effectiveness of the AOA-PSO algorithm is verified by simulation and compared with the traditional control algorithm. The results demonstrate that the method is effective. The system successfully tracks the maximum power point within 0.89 s, 1.2 s faster than the traditional perturbation and observation method (TPOM), and 0.8 s faster than the incremental admittance method (IAM). The average maximum power point is 274.73 W, which is 98.87 W higher than the TPOM and 109.98 W more elevated than the IAM. Besides, the power oscillation range near the maximum power point is small, and the power loss is slight. The method reported here provides some guidance for the practical development of the system.

The dynamic spread of photovoltaic power plants in the global energy industry facilitates cost-effective and clean electricity generation. However, the intermittent nature of solar energy poses an increasing challenge from a system management point of view due to the fast-growing capacities. As a consequence, energy storage systems are increasingly important in this area, as they allow the efficient and flexible storage of excess electricity generated in the electricity system. Among various energy storage systems, the power-to-gas technology is becoming more and more important in the integration of weather-dependent renewable energy sources, as it can now provide an effective solution for increasing grid stability and scheduling efficiency, as well as enabling wide variety of application possibilities in the economy, for example in transport, industry or heating systems. The aim of the present research was to determine the potential amount of green hydrogen that can be produced by using the proton-exchange membrane technology, taking into account the climatic conditions in Hungary and the energy production potentials of photovoltaic power plants of given capacities. This is not only novel but also of practical use, as it provides important information about the integration of photovoltaic power plants and the power-to-gas technology to the actors of energy systems and the energy market and the decision-makers concerned. In addition to the vital economic aspects of the research, supporting the decisions of potential investors, it also contains important insights for market-related technological developments.

The decarbonization of large cruise ships is challenged by their extreme and tightly coupled electrical, thermal, and cooling demands. This study investigates a liquid hydrogen (LH2)-based tri-generation system for cruise ships that simultaneously supplies electricity, heat, and cooling. Key novelties include the use of LH2 as the onboard energy carrier for large cruise ships, the recovery of cooling energy from LH2, a dynamic control strategy that synergistically modulates PEM fuel cell utilization to regulate downstream catalytic burner heat generation and balance heat and electricity generation and demand, and the first full-scale cruise-ship model of such a system, including hydrogen consumption and onboard storage sizing. A dynamic system-level model is applied to a representative 7-day voyage of a large cruise ship. The results show that the proposed system can meet combined peak demands of approximately 61 MW while achieving overall system efficiencies approaching 75%. Compared to traditional marine diesel-based power plants, the LH2-based tri-generation configuration improves system efficiency by more than 20 percentage points. Total hydrogen consumption is estimated at approximately 240 t, which can be reduced by about 20% through shore-to-ship power, yielding a system volume comparable to that of a conventional diesel-based power plant. These results demonstrate the technical feasibility and system-level advantages of LH2-based tri-generation for zero-emission cruise ships.

This paper focuses on a hydrogen fuel cell power generation system integrated with photovoltaic (PV) generation, energy storage, and distribution network subsystems, conducting an economic and environmental adaptability analysis. Based on load balance, a mathematical model for the hydrogen fuel cell integrated energy system is established, and four scenarios are constructed: grid-powered, grid + fuel cell, grid + fuel cell + PV, and grid + fuel cell + PV + energy storage. The analysis results show that under the single-rate electricity pricing model, by 2030, the annual costs of Scenarios 3 and 4 are 11.46% and 12.67% lower than Scenario 1, respectively; by 2035, they are reduced by 19.32% and 20.43%, respectively. Under the two-part pricing model, by 2030, the annual costs of Scenarios 3 and 4 are 21.28% and 26.50% lower than Scenario 1, respectively; by 2035, they are reduced by 27.72% and 32.36%, respectively. These quantitative results indicate that the integration of hydrogen fuel cells with PV and energy storage systems can significantly reduce costs and promote their application and development in residential buildings.

A wind–hydrogen coupled power generation system can effectively reduce the power loss caused by wind power curtailment and further improve the ability of the energy system to accommodate renewable energy. However, the feasibility and economy of deploying such a power generation system have not been validated through large-scale practical applications, and the economic comparison between regions and recommendations on construction are still lacking. In order to solve the aforementioned problems, this paper establishes an economic analysis model for the wind–hydrogen coupled power generation system and proposes a linear optimisation-based priority analysis method focusing on the major net present value for regional energy system as well as a cost priority analysis method for hydrogen production within sample power plants. The case study proves the effectiveness of the proposed analysis methods, and the potential to develop wind–hydrogen coupled power generation systems in various provinces is compared based on the national wind power data in recent years. This provides recommendations for the future pilot construction and promotion of wind–hydrogen coupled power generation systems in China.

Hydrogen energy, as clean and efficient energy, is considered significant support for the construction of a sustainable society in the face of global climate change and the looming energy revolution. Hydrogen is one of the most important chemical substances on earth and can be obtained through various techniques using renewable and nonrenewable energy sources. However, the necessity for a gradual transition to renewable energy sources significantly hampers efforts to identify and implement green hydrogen production paths. Therefore, this paper’s objective is to provide a technological review of the systems of hydrogen production from solar and wind energy utilizing several types of water electrolyzers. The current paper starts with a short brief about the different production techniques. A detailed comparison between water electrolyzer types and a complete illustration of hydrogen production techniques using solar and wind are presented with examples, after which an economic assessment of green hydrogen production by comparing the costs of the discussed renewable sources with other production methods. Finally, the challenges that face the mentioned production methods are illuminated in the current review.

Renewable energy systems are at the core of global efforts to reduce greenhouse gas (GHG) emissions and to combat climate change. Focusing on the role of energy storage in enhancing dependability and efficiency, this paper investigates the design and optimization of a completely sustainable hybrid energy system. Furthermore, hybrid storage systems have been used to evaluate their viability and cost-benefits. Examined under a 100% renewable energy microgrid framework, three setup configurations are as follows: (1) photovoltaic (PV) and Battery Storage System (BSS), (2) Hybrid PV/Wind Turbine (WT)/BSS, and (3) Integrated PV/WT/BSS/Electrolyzer/Hydrogen Tank/Fuel Cell (FC). Using its geographical solar irradiance and wind speed data, this paper inspires on an industrial community in Neom, Saudi Arabia. HOMER software evaluates technical and economic aspects, net present cost (NPC), levelized cost of energy (COE), and operating costs. The results indicate that the PV/BSS configuration offers the most sustainable solution, with a net present cost (NPC) of$2.42M and a levelized cost of electricity (LCOE) of $ 0.112/kWh, achieving zero emissions. However, it has lower reliability, as validated by the provided LPSP. In contrast, the PV/WT/BSS/Elec/FC system, with a higher NPC of$2.30M and LCOE of $ 0.106/kWh, provides improved energy dependability. The PV/WT/BSS system, with an NPC of$2.11M and LCOE of $ 0.0968/kWh, offers a slightly lower cost but does not provide the same level of reliability. The surplus energy has been implemented for hydrogen production. A sensitivity analysis was performed to evaluate the impact of uncertainties in renewable resource availability and economic parameters. The results demonstrate significant variability in system performance across different scenarios.

Hydrogen production from renewable energy sources (RESs) is one of the effective ways to achieve carbon peak and carbon neutralization. In order to ensure the efficient, reliable and stable operation of the DC microgrid (MG) with an electric-hydrogen hybrid energy storage system (ESS), the operational constraints and static dynamic characteristics of a hydrogen energy storage system (HESS) needs to be fully considered. First, different hydrogen production systems, using water electrolysis are compared, and the modeling method of the electrolyzer is summarized. The operational control architecture of the DC MG with electric-hydrogen is analyzed. Combined with the working characteristics of the alkaline electrolyzer, the influence of hydrogen energy storage access on the operational mode of the DC MG is analyzed. The operational control strategies of the DC MG with electric-hydrogen hybrid ESS are classified and analyzed from four different aspects: static and dynamic characteristics of the hydrogen energy storage system, power distribution of the electric-hydrogen hybrid ESS and the efficiency optimization of hydrogen energy storage. Finally, the advantages of a modular hydrogen production system (HPS) are described, and the technical problems and research directions in the future are discussed.

Conventional solar chimney power plants (SCPPs) are hindered by low energy conversion efficiency and lack of integrated approaches for maximizing simultaneous green hydrogen and electricity production, especially when multiple interdependent system parameters interact nonlinearly. The study aims to optimize a novel hybrid SCPP configuration for dual-output, sustainable electricity and green hydrogen, by systematically analysing the influence and interplay of chimney inclination, solar radiation, collector absorptivity, and turbine pressure drop. Using CFD simulations that solve mass, momentum, and energy conservation equations, the research models complex buoyancy-driven flows within conical chimneys while integrating an electrolysis unit for hydrogen generation. Statistical correlation, priority weighting (AHP), and k-means clustering are employed to identify critical parameter dependencies, prioritize operational outcomes, and group optimal performance regimes. The optimal configuration is determined at an 8° chimney inclination, 800 W/m 2 solar radiation, collector absorptivity of 0.88, and 95 Pa turbine pressure drop, yielding an airflow velocity of 9.8 m/s, power output of 16.1 kW, and hydrogen generation of 0.62 kg/day. Correlation analysis reveals electricity and hydrogen outputs are maximized primarily by airflow velocity and power output under these synergistic parameter sets. The study establishes an effective operational envelope for SCPPs that achieves both high electricity and green hydrogen yields, outperforming conventional single-output designs. The integrated multi-objective approach and nuanced parameter selection lay a foundation for deploying versatile, cost-effective renewable energy systems tailored for dual-generation, thus advancing SCPP viability for sustainable energy transition.

This study investigates the integration of green hydrogen into building energy systems using local solar power, with the electricity grid serving as a backup plan. A comprehensive bottom-up analysis compares six energy system configurations: the natural gas grid boiler system, all-electric heat pump system, natural gas and hydrogen blended system, hydrogen microgrid boiler system, cogeneration hydrogen fuel cell system, and hybrid hydrogen heat pump system. Energy efficiency evaluations were conducted for 25 homes within one block in a neighborhood across five typological house stocks located in Stoke-on-Trent, UK. This research was modeled using a spreadsheet-based approach. The results highlight that while the all-electric heat pump system still demonstrates the highest energy efficiency with the lowest consumption, the hybrid hydrogen heat pump system emerges as the most efficient hydrogen-based solution. Further optimization, through the implementation of a peak-shaving strategy, shows promise in enhancing system performance. In this approach, hybrid hydrogen serves as a heating source during peak demand hours (evenings and cold seasons), complemented by a solar energy powered heat pump during summer and daytime. An hourly operational configuration is recommended to ensure consistent performance and sustainability. This study focuses on energy performance, excluding cost-effectiveness analysis. Therefore, the cost of the energy is not taken into consideration, requiring further development for future research in these areas.