Muhamad Sabran Jamil

Intoduction Saya Muhamad Sabran Jamil dari provinsi Riau dan lahir pada 17 Meni 2003. Pada saat ini berkuliah di Universitas Indonesia

Tugas Besar Metnum

Parameter:

1. Harga di bawah Rp500.000,00

2. Tekanan = 8 bar

3. Volume = 1 liter

Certainly! Designing and optimizing a cost-effective compact pressurized hydrogen storage system involves considering several essential elements and following specific procedures:

Determine System Requirements: Identify the specific needs for the hydrogen storage system, such as storage capacity, operating pressure, weight, dimensions, and safety considerations. These requirements will serve as guidelines for the design process.

Select Storage Method: Choose the appropriate storage method based on the application and requirements. In this case, the focus is on pressurized hydrogen storage. Other methods include cryogenic storage, solid-state storage, and chemical storage.

Choose Suitable Materials: Select materials that are safe, cost-effective, and efficient. The storage vessel should be strong, compatible with hydrogen, and have low permeability to prevent leaks. Common materials include high-strength steel, carbon fiber composites, or polymer-based liners with carbon fiber wrapping.

Design the System: Develop a detailed design for the storage system, considering factors such as vessel shape, volume, structural integrity, valve and fitting placement, thermal management, and pressure relief mechanisms. Computer-aided design (CAD) software can assist in creating accurate models.

Implement Safety Measures: Incorporate safety features to ensure reliable operation and prevent accidents. This may include pressure relief devices, burst disks, pressure sensors, and fire suppression systems. Adhering to relevant safety standards, such as ISO 16111 or ASME Boiler and Pressure Vessel Code, is essential.

Optimize for Cost-effectiveness and Compactness: Use optimization techniques such as structural analysis, computational fluid dynamics (CFD) simulations, and optimization algorithms to refine the design for cost-effectiveness and compactness. These methods help identify the most efficient shapes, materials, and manufacturing techniques to reduce costs and maximize storage capacity.

Choose Manufacturing Process: Select a manufacturing process that balances cost, quality, and scalability. Common methods for hydrogen storage vessels include filament winding for composite materials and deep-drawing or forging for metal containers. Continuously improve the manufacturing process to reduce costs and enhance reliability.

Perform Performance Testing: Conduct comprehensive performance tests to ensure the system meets the desired specifications and safety requirements. This may involve pressure cycling, leak testing, burst tests, and other relevant evaluations. Simulate real-world conditions as accurately as possible.

Ensure Regulatory Compliance: Comply with relevant regulations and standards for hydrogen storage systems. This may include obtaining certifications from regulatory bodies such as ISO, the U.S. Department of Transportation (DOT), or local regulatory agencies. Compliance is crucial for market acceptance and safety.

Consider Lifecycle Implications: Evaluate the lifecycle impact of the storage system, considering factors such as material sourcing, manufacturing energy consumption, maintenance requirements, and end-of-life considerations. Aim for sustainability and minimize environmental impact.

Continuously Improve: Stay updated on advancements in hydrogen storage systems, including new technologies and materials. Continually seek opportunities to enhance system efficiency, reduce costs, and improve safety through ongoing research and development efforts.

Geometri Dasar (Base)

import math def calculate_optimized_dimensions(volume):

   Convert volume to cubic centimeters
   volume_cm3 = volume * 1000

   Initialize variables
   optimized_surface_area = float('inf')
   optimized_radius = 0
   optimized_height = 0

   Iterate over possible dimensions
   for radius in range(1, int(math.sqrt(volume_cm3)) + 1):
       height = volume_cm3 / (math.pi * radius**2)

       Calculate surface area
       surface_area = 2 * math.pi * radius * (radius + height)

       Check if this configuration has a smaller surface area
       if surface_area < optimized_surface_area:
           optimized_surface_area = surface_area
           optimized_radius = radius
           optimized_height = height

   Return the optimized dimensions
   return optimized_radius, optimized_height, optimized_surface_area

Test the function for a 1 liter tank volume = 1 # liter radius, height, surface_area = calculate_optimized_dimensions(volume)

Print the results print("Optimized Dimensions:") print(f"Radius: {radius} cm") print(f"Height: {height} cm") print(f"Surface Area: {surface_area} cm^2")