
Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100967 - 100967
Published: March 1, 2025
Language: Английский
Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100967 - 100967
Published: March 1, 2025
Language: Английский
E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 601, P. 00065 - 00065
Published: Jan. 1, 2025
This study introduces a novel methodology for conducting techno-economic analysis of green ammonia production using mathematical models that meticulously parameterize plant units and technical specifications. The approach involves two key steps: first, identifying modeling the essential components production, such as electrolyzers, synthesis units, configurations; second, developing non-linear optimization model to minimize levelized cost ammonia, payback period, internal rate return, return on investment. also incorporates constraints like maintaining minimum unit loads optimizing electricity costs. By leveraging renewable energy through power purchase agreements, ensures stable supply carbon neutrality across value chain. Two scenarios are examined: one with user-defined electrolyzer configuration another an optimized configuration. In latter, consumption drops 10 MWh per ton produced, saving 60 GWh annually, along reductions in capital costs by 53% operating 10% compared first scenario.
Language: Английский
Citations
1Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 5, 2025
The emergence of Alternative Fuel Vehicles (AFVs), which comprises hydrogen Cell Electric (HFCVs) and (EVs), among others, presents a promising shift away from traditional Internal Combustion Engines (ICEs). AFVs offer solution to reduce greenhouse gas emissions, pressing concern for global climate challenges. However, the widespread adoption depends on presence accessible alternative fueling stations. This paper investigates various ways locate refueling stations (HRS) FCEVs electric charging EVs with lowest number maximum coverage. aims solve problem locating publicly main highways UAE by creating first geospatial maps that work as roadmap future HRS rollout. novelty relies integration three distinct location models-the Set Cover Model (SCM) find most suitable based pre-determined distance, Flow Intercept Location (FILM) maximize coverage considering road network, Maximum Coverage (MCM) given needed utilizing existing in UAE. investigation focuses selecting optimal sites Hydrogen Refueling Stations Charging (CSs) along major interlinking seven emirates. For short-term planning, our findings illustrate spatial requirements projected necessity 2-5 HRSs 3-11 CSs, contingent upon varying distances.
Language: Английский
Citations
0Scientific African, Journal Year: 2025, Volume and Issue: unknown, P. e02717 - e02717
Published: April 1, 2025
Language: Английский
Citations
0Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100967 - 100967
Published: March 1, 2025
Language: Английский
Citations
0