Difference between revisions of "Autonomous Underwater Vehicle"

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In both models, we expect a learning effect on productivity. We assume that the initial profit margin is 20%, and the profit margin improves by 1% each year. Furthermore, we assume that the discount rate is 7% that is general in the R&D project, and calculate the Net Present Value (NPV) by 2040. Based on these assumptions, we analyzed the financial forecast as follows.<br>
Based on the similar projects of AUV's communication technology, we estimated that the R&T cost of acoustic communication technology is 10 million $. This cost covers the design, 2 prototype AUVs production, field test, and improvement. The manufacturing cost of 2 prototype AUVs will be the most expensive (5 million $). In addition, we estimated that the R&T cost of the power unit is 8 million $. We plan to divert the prototype AUVs for acoustic communication technology to the R&T of the power unit, and this will lead to cost-saving of R&T. In both models, we expect a learning effect on productivity. We assume that the initial profit margin is 20%, and the profit margin improves by 1% each year. Furthermore, we assume that the discount rate is 7% that is general in the R&D project, and calculate the Net Present Value (NPV) by 2040. Based on these assumptions, we analyzed the financial forecast as follows.<br>


<big>'''Financial forecast of conservative model'''</big><br>
<big>'''Financial forecast of conservative model'''</big><br>

Revision as of 22:18, 20 November 2020

Roadmap Overview

Throughout history, the ocean has been a vital source of sustenance, transport, commerce, growth, and inspiration. Yet for all of our reliance on the ocean, more than eighty percent of this vast, underwater realm remains unmapped, unobserved, and unexplored. AUVs provide great opportunities for exploring our oceans. An autonomous underwater vehicle (AUV) is a robot that travels underwater without requiring input from an operator.

Image afbakhfg.jpg

Image source: Naval Technology

Design Structure Matrix (DSM) Allocation

DSM v1.png

Roadmap Model using OPM

This diagram captures the main object of the roadmap (Autonomous Underwater Vehicle), its various instances including its decomposition into subsystems (Sensors, Navigation, propulsion, Battery, etc…), its characterization by Figures of Merit (FOMs) as well as the main processes (Surveying, Recharging, etc).


AUV OPM.png

An Object-Process-Language (OPL) description of the roadmap scope is auto-generated and given below. It reflects the same content as the previous figure, but in a formal natural language.

AUV OPL v1.png

Figures of Merit (FOMs)

The table below shows a list of FOMs by which autonomous underwater vehicle can be assessed.

FOM name Units Description
Operating Distance km Distance that can be traveled in an operation
Speed km/h Cruising speed in the water
Payload kg Useful payload that can be carried
Diving Depth m Depth that can be reached
Endurance h Hours that can be operated

Alignment with Company Strategic Drivers

# Strategic Objective Alignment and Targets
1 To develop batteries for AUVs that can last longer This will enable the AUVs to dive for a longer duration of time without coming back to the docking station. This will also increase the range to which AUVs can go in one charge.
2 Better docking system for AUVs Dockers are used to charge the battery and transfer information from AUVs. But current dockers are prone to error. So a better docking station will make the system more reliable.
3 Better sensing system for AUVs One of the typical sensing technologies of the marine vehicle is SONAR. A more accurate SONAR system will help the AUVs to detect any defects in the pipes accurately.

Positioning of Company vs. Competition

Acoustic modem comparision for AUVs 2.png

source: https://www.mdpi.com/2076-3417/10/4/1256/pdf

Technical Model

Among many technical components of AUV, the sensor and power source are key components in order to use in the inspection field of the offshore oil & gas production facility, so we focused on these components.

Sensor

The key FOM of sonar is the “Detection Threshold (DT)”, and the technical equation of DT is as below.

Sonar

Below is the normalized tornado chart that shows the sensitivity of each parameter to DT.
Sonar

As this chart shows, TL is the most sensitive parameter. However, it is impossible to change TL and NL because these parameters are determined by the composition and depth of seawater. In addition, TS depends on the character of the inspection target, so we can’t also change this parameter. If we increase SL, DT will be improved, but it needs more energy in order to increase SL. This method may not be effective for AUV because the energy capacity of AUV is limited. On the other hand, DI can be improved by changing the directivity of the receiver, and this improvement would have minimal impact on other components of AUV, so this approach may be effective to improve DT.

Power Source

One of the expected power sources of AUV is a fuel cell. If we want to increase the energy capacity of a fuel cell, it is necessary to increase the amount of hydrogen storage. However, the space capacity of AUV is limited, so increasing the pressure of the stored hydrogen, rather than making the dimension of the hydrogen tank larger, would be effective. The relationship between the hydrogen pressure and the tank dimension is below.
Dimension (Hydrogen Tank).png

If we can’t change the overall dimension of the hydrogen tank because of the AUV's size limitation, the variables that can be changed are “σ” and “t” in order to increase the hydrogen capacity. Below is the normalized tornado chart that shows the sensitivity of “σ” and “t” to the maximum hydrogen pressure.
Sensitivity (Hydrogen).png

As this chart shows, “σ” and “t” have the same sensitivity for maximum hydrogen pressure. However, if we increase “t”, this directly leads to increasing the hydrogen tank weight. In order to avoid weight increase, it is effective to increase“σ”by changing the material of the hydrogen tank.

Key Publications and Patents

In the inspection of Oil & Gas offshore platforms, AUV moves slowly near the facilities such as pipelines on the seabed, and AUV checks the facilities by using nondestructive inspection methods. The key factors of inspection AUVs are "navigation”, “energy supply", "safety”, and “inspection method", so we select the related key publication and patent as below.

Publications

  • Yoshiki Sato, Toshihiro Maki, Kotohiro Masuda, Takumi Matsuda, and Takashi Sakamaki, "Autonomous Docking of Hovering Type AUV to Seafloor Charging Station based on acoustic and visual sensing", IEEE Underwater Technology, 2017

Executive Summary: This report is about the automatic navigation and docking technology that use the acoustic signal and visible LED light. In addition, the author also reports the result of wireless charging to AUVs during docking.

Patents

  • Byrd, et al. (2019) "Underwater vehicle for inspection of a subsea structure in a body of water and related method", United States Patent 10370074

Executive Summary: The invented AUV has a body like a torpedo and this AUV can sail safely at a certain distance from the pipelines. In addition, this AUV has 2 sensors on the upper and lower side of its body, and these sensors enable us to detect problems such as corrosion in the pipelines nondestructively.

List of R&D Projects

Summary
Our goal is the establishment of an AUV system for continuous inspection of oil and gas offshore platforms. This will be able to contribute to providing efficient inspections and making platforms safe. However, because the energy capacity of each AUV is limited, it is necessary to put the multiple AUVs into the mission by turns. In order to achieve a seamless inspection, it is important to communicate between each AUV and take over the mission smoothly, so the establishment of communication technology between AUVs is an important R&T topic. In addition, the longer the hours an AUV can operate per one mission, the more cost-effective it becomes because we can reduce the number of AUVs that are necessary to be deployed for replacement. Therefore, we think that the extension of AUV's operating hours is also an important R&T issue.

Communication technology between AUVs
Currently, AUVs for oil and gas platform inspection are in practical use, but they are operating independently.<ref>Kawasaki Heavy Industries, Autonomous Underwater Vehicle (AUV) “SPICE”, http://www.khisubsea.co.uk/autonomous-underwater-vehicle/</ref> If we want to operate several AUVs simultaneously, acoustic multiplexing technology is necessary as a communication method, and this technology has recently been matured.<ref>JAMSTEC, Next-generation technology for ocean resources exploration, https://www.jamstec.go.jp/sip/en/pdf/brochure.pdf</ref> Based on this situation, our first goal is the integration of acoustic multiplexing technology with AUVs for oil and gas platform inspection. We plan to take five years for this challenge.

Extension of AUV's operating hours
The extension of AUV's operating hours will be achieved by the development of battery technology or fuel cell technology. These technologies require a lot of resources, so it is difficult to build everything up from scratch. Fortunately, the technology competition between battery and fuel cell has been progressing in the automobile field, so we will be able to apply the result of R&T of the automotive. In our analysis, we think that both Li-ion battery and fuel cell are promising energy source for AUV at present. Based on the battery-powered and fuel-cell-powered AUVs that were built so far, we made model cases in 2020 and 2030 as follows. <ref>Kawasaki Heavy Industries, https://www.khi.co.jp/stories/articles/vol99/</ref> <ref>Toshio Maeda et al, Fuel Cell AUV "URASHIMA", Mitsubishi Heavy Industries, Ltd. Technical Review Vol.43 No.1(Jan.2006), https://www.mhi.co.jp/technology/review/pdf/e431/e431024.pdf</ref> <ref>NEDO, Rechargeable Battery Technology Development Roadmap 2013, https://www.nedo.go.jp/content/100535728.pdf</ref> <ref>Reinhardt Wagner, Battery Fuel Gauges: Accurately Measuring Charge Level (2006)</ref> <ref>DOE, Target Explanation Document: Onboard Hydrogen Storage for Light-Duty Fuel Cell Vehicles (2017), https://www.energy.gov/sites/prod/files/2017/05/f34/fcto_targets_onboard_hydro_storage_explanation.pdf</ref>

Model Case 1.png

At present, the performance of battery and fuel cell are in competition (Battery (313.6(km/week)) VS Fuel Cell (294.0(km/week))). In addition, the performance improvement expected in 2030 is also in competition (Battery (427.6(km/week)) VS Fuel Cell (417.8(km/week))). Therefore, we think that narrowing down power unit candidates to either battery or fuel cell is not a good idea at this time. However, these predictions are just model cases, so the situation may change significantly depending on future technological developments. Therefore, we plan to keep following up on the development trends of power unit until 2025, decide which technology is suitable for our AUV in 2025, and install the power unit in 2030.

R&T schedule
The overall R&T schedule is as below. We set a stage-gate in 2025 and are going to decide whether we should expand our project or not. Roadmap 1.png

Financial Model

Based on the above R&T schedule, we analyzed the financial feasibility of our project. Our strategy has two stages. In the first stage, we conduct R&T of acoustic communication technology and start selling AUVs with this technology in 2025. In the second stage, we conduct R&T of battery or fuel cell technology and start selling AUVs with new power units in 2031. Based on the evaluation results about the power unit scheduled in 2025, we will be able to choose between the following two models.


1) Conservative model: We don't invest in the R&T of the power unit, and we continue to sell only AUVs with acoustic communication technology. In this case, the operation hours of this AUV remain short, so the unit price will be low and the number of sales will be small (1 million$/unit, 10 unit/year) because of the low competitiveness.

2) Optimistic model: We decide to invest in the R&T of the power unit, and we will start to sell the AUVs with new power units in 2031. In this case, the operation hours of this new AUV will be long, so the unit price and the number of sales will increase (1.2 million$/unit, 20 unit/year) based on the high competitiveness.


Based on the similar projects of AUV's communication technology, we estimated that the R&T cost of acoustic communication technology is 10 million $. This cost covers the design, 2 prototype AUVs production, field test, and improvement. The manufacturing cost of 2 prototype AUVs will be the most expensive (5 million $). In addition, we estimated that the R&T cost of the power unit is 8 million $. We plan to divert the prototype AUVs for acoustic communication technology to the R&T of the power unit, and this will lead to cost-saving of R&T. In both models, we expect a learning effect on productivity. We assume that the initial profit margin is 20%, and the profit margin improves by 1% each year. Furthermore, we assume that the discount rate is 7% that is general in the R&D project, and calculate the Net Present Value (NPV) by 2040. Based on these assumptions, we analyzed the financial forecast as follows.

Financial forecast of conservative model

R&D cost analysis conservative.png

Financial forecast of optimistic model

NPV2.png

As these results show, even if we choose the conservative model, the NPV is positive (11.1 million $). This means that the conservative model is profitable. However, the optimistic model is more profitable (NPV: 16.7 million $), so it can be mentioned that the stage-gate related to the power unit scheduled in 2025 is very important for our project because this will determine whether we can maximize profits or not.

Technology Strategy Statement

As we mentioned above, our goal is the establishment of an AUV system for efficient continuous inspection of oil and gas offshore platforms in 2030. In order to achieve this goal, we will invest in two R&T projects. The first is the integration of acoustic multiplexing technology with AUVs, and we plan to succeed in the coordinated simultaneous operation of multiple AUVs until 2025. The second project is the extension of AUV's operating hours. Our strategy is to apply the technology of the automobile industry to AUVs, so we plan to assess the development trends of the automobile power unit in 2025 and integrate the selected technology into the AUVs in 2030. This will enable us to maximize the operating hours and minimize the number of AUVs which are necessary to the continuous inspection mission.

Roadmap swoosh chart.png

References

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