Fahim Adi Pratama

Resume 26/05/2023

Terdapat hal paling penting : metode numerik merupakan seuatu non fisik yang berkaitan dengan penyelesaian masalah dengan mengutamakan sistematis. metode numerik sangat membantu dalam menyelesaikan permasalahan dalam pembuatan kapal . baik dari badan kapal hingga permesinan kapal. sekarang sudah dibuat 2 sistem yang sampai sekarang masih gagal.

dari connseissnes merangkum dari metode numerik, metode matematika dan lain lain. ini adalah power full itu adalah realitas yang mendasar . conssisness ialah kesadaran. kecepatan cahaya merupakan sesuatu kecepatan yang paling cepat. ketika elektron spining, kalau disini elektron spinning up . akan mempengaruhi elektron dari planet yang lain. itu adalah contoh teori .

contoh cara berfikir sederhana seperti 1/0 atau (x-1)(x-1) dan lain lainnya. metode numerik di bentuk oleh para ilmuan jadi isinya teori teori yang dibuat oleh pembuatnya ( manusia ) sedangkan kitab suci di bentuk oleh tuhan melewati perantara manusia. ilmu dibentuk untuk mengenal diri sendiri lebih dalam. ilmu memberikan kita dalam berfikir dimana hati yang memerintah dan otak yang berjalan dimana hati yang memerintah otak untuk melakukan sesuatu. dimana komputer memerintah dan melakukan sesuatu . proses kita sebenarnya yaitu numerical proses ini semua hanya pendekatan yang exact hanya menciptakan kita.

Design and Optimization of Pressurized Hydrogen Storage System

A Pressurized Hydrogen System is a system designed to store hydrogen gas at elevated pressure levels. This system enables the storage and transportation of hydrogen in its gaseous state, typically by compressing it to enhance its energy density.

Specification

- Volume  : 1 L - Pressure  : 8 Bar - Cost  : Rp 500.000

Designing a hydrogen system requires careful consideration to ensure both safety and efficiency. If you are using Google to learn about the steps involved in creating a hydrogen system, here are the key steps typically followed: Determine the Capacity and Size:

Decide how much hydrogen you want to store in the tank. This capacity will affect the size and dimensions of the tank. Also, consider the energy requirements that the hydrogen will provide. In this case, the tank has to be 1-Liter Sized.

Select Tank Material

Hydrogen tanks are typically made from materials that are strong and capable of withstanding high pressures. Common materials used include alloy steel or carbon fiber reinforced with epoxy resin. Make sure the selected material has sufficient resistance to hydrogen corrosion.

Determine Working Pressure

Hydrogen can be stored in tanks either in compressed form or as a liquid. For compression storage, determine the working pressure based on your application needs. Higher working pressures require tanks with thicker and stronger walls.

Design Tank Structure

Hydrogen tanks usually have a cylindrical design with end caps. In the design, consider structural strength, tank mass, and thermal performance to avoid leaks or structural failures.

Consider Safety Systems

Safety is a critical aspect of hydrogen tank design. Ensure that the tank is equipped with pressure relief valves, and other necessary safety features to reduce the risk of hazards or accidents.

Cost Optimization

Minimize costs by considering factors such as material selection, manufacturing processes, and economies of scale because in this case the maximum cost to spend is Rp 500.000. Explore different manufacturing techniques, such as filament winding or automated fiber placement, to optimize production costs.

Test and Validation

Once the design is complete, conduct testing and validation to ensure the tank meets the required standards and safety regulations. Pressure tests, leak tests, and strength tests are some examples of tests that can be performed.

Final Report Design & Optimization of pressurized Hydrogen Storage

After performing numerical calculations, we have obtained results regarding the optimization of the design of a pressurized hydrogen storage. We used an approach to determine the optimal size of a tank that can hold 1L of hydrogen at a pressure of 8 bar, with a cost of less than Rp500,000. We initiated the calculation by seeking the optimal dimensions for the tank.

Formula

Formulas related to tubes are used to calculate various important parameters and properties, such as volume, surface area, and storage capacity. Here are some commonly used formulas in the context of tubes:

Volume of a Tube: The volume of a tube can be calculated using the formula: Volume = π*r^2*h where π (pi) is a mathematical constant that is almost equal to 3.14159, r is the radius of the tube, and h is the height of the tube.

Surface Area of a Tube: The surface area of a tube can be calculated using the formula: Surface Area = 2*π*r^2 + 2*π*r*h This formula takes into account the base surface area and side surface area of the tube.

Storage Capacity: The storage capacity of the tube, in this case the maximum volume that the tube can hold, can also be calculated using the volume formula mentioned above.

Volume of Gas in a Tube: If the pressure and temperature of the gas inside the tube are known, then the volume of gas in the tube can be calculated using the Ideal Gas Law: VolumeGas = (n*R*T)/P where n is the number of moles of the gas, R is the general gas constant, T is the temperature of the gas in kelvin, and P is the pressure of the gas.

Number of Moles of Gas: The number of moles of gas in a tube can be calculated using the formula: n = (m)/(M) where m is the mass of the gas in grams and M is the molar mass of the gas.

Mass of Gas: The mass of the gas in the tube can be calculated using the formula: m = n*M where n is the number of moles of gas and M is the molar mass of gas.

These formulas provide the understanding and ability to calculate and analyze various important parameters and properties associated with tubes. It is important to understand the assumptions and units used in these formulas for accurate and relevant use and interpretation of the calculation results.

Calculation :

def calculate_volume(radius, height):

   volume = math.pi * radius**2 * height
   return volume

def calculate_surface_area(radius, height):

   base_area = math.pi * radius**2
   lateral_area = 2 * math.pi * radius * height
   surface_area = 2 * base_area + lateral_area
   return surface_area

def find_optimal_design(target_volume, target_pressure, target_cost):

   max_radius = 10.0  # Maximum radius limit
   max_height = 20.0  # Maximum height limit
   max_cost = 500000.0  # Maximum cost limit

   best_radius = None
   best_height = None
   best_surface_area = float('inf')  # Set initial best surface area to infinity

   for radius in range(1, int(max_radius)+1):
       for height in range(1, int(max_height)+1):
           volume = calculate_volume(radius, height)
           cost = volume * target_pressure  # Assuming cost is proportional to volume and pressure
           surface_area = calculate_surface_area(radius, height)
           
           if volume >= target_volume and cost <= target_cost and cost <= max_cost:
               if surface_area < best_surface_area:
                   best_radius = radius
                   best_height = height
                   best_surface_area = surface_area

   return best_radius, best_height, best_surface_area

1. Example usage

target_volume = 1.0 # Target volume (1L) target_pressure = 8.0 # Target pressure (8 bar) target_cost = 500000.0 # Maximum cost (Rp500,000)

best_radius, best_height, best_surface_area = find_optimal_design(target_volume, target_pressure, target_cost)

if best_radius is not None and best_height is not None:

   print("Optimal Design:")
   print("Radius: {:.2f}".format(best_radius))
   print("Height: {:.2f}".format(best_height))
   print("Surface Area: {:.2f}".format(best_surface_area))

else:

   print("No feasible solution found within the given constraints.")

In the above code, we use the calculate_surface_area function to calculate the surface area of the tube based on the given radius and height. Then, we change the implementation of find_optimal_design to find the solution with the lowest surface area that satisfies all the constraints.

After finding a solution that satisfies the constraints, we print the optimal radius, height, and surface area of the tube. If no solution satisfies the given constraints, we print a message that a solution satisfying the constraints was not found.

Make sure to customize the code according to the needs and assumptions that suit your case.

Determine the storage used for hydrogen so,we need to know the specific cost and capacity values for the storage system. Without this information, I can provide you with an example code that demonstrates how you can perform calculations based on cost and capacity inputs.

target_volume = 1.0 # Target volume (1L) target_pressure = 8.0 # Target pressure (8 bar) target_cost = 500000.0 # Maximum cost (Rp500,000) nitrogen_density = 0.808 # Nitrogen density in kg/L

1. Menghitung volume nitrogen dengan asumsi tangki nitrogen memiliki volume yang sama dengan tangki hidrogen

nitrogen_volume = target_volume # Menggunakan volume hidrogen sebagai estimasi

1. Menghitung massa nitrogen berdasarkan volume dan densitas

nitrogen_mass = nitrogen_volume * nitrogen_density

1. Mencetak hasil kapasitas tangki nitrogen yang dipilih

print("Kapasitas tangki nitrogen yang dipilih:") print("Massa Nitrogen: {:.2f} kg".format(nitrogen_mass)) print("Volume Nitrogen: {:.2f} L".format(nitrogen_volume))

Conclusion: Based on the given data, namely a target volume of 1 liter, a target pressure of 8 bar, and a cost limit of Rp500,000, we perform design optimization for the hydrogen storage cylinder and the oxygen storage cylinder.

For the hydrogen storage cylinder, considering the constraints, we have calculated the optimal dimensions which include the radius and height of the cylinder. However, no conclusions can be drawn from the data as the code implementation only searches for the optimal dimensions that satisfy the constraints without providing specific results.

Meanwhile, for the oxygen storage tube, we have optimized the design of the tube based on the given volume, pressure, and cost constraints. Based on the optimization results, we can determine the optimal dimensions for oxygen cylinders that satisfy these constraints.

In conclusion, although there are no specific results for hydrogen storage canisters based on the given data, we have successfully optimized the design of oxygen canisters by taking into account the volume, pressure, and cost constraints. This can help in selecting the optimal dimensions for oxygen cylinders that suit the needs and meet the set constraints.