View source for Direct Air Capture

Roadmap Creators: [https://www.linkedin.com/in/ltgu// | Lukas Tacke Genannt Unterberg] 
Roadmap Creators: [https://www.linkedin.com/in/ryota-wada-0a03068b/ | Ryota Wada] 

=Technology Roadmap Sections and Deliverables=

The first point is that each technology roadmap should have a clear and unique identifier: 
* '''2SEA - Solar Electric Aircraft'''
This indicates that we are dealing with a “level 2” roadmap at the product level (see Fig. 8-5), where “level 1” would indicate a market level roadmap and “level 3” or “level 4” would indicate an individual technology roadmap.

==Roadmap Overview==

The working principle and architecture of solar-electric aircraft is depicted in the below. 

[[File:Section 1.JPG]]

Solar-electric aircraft are built from light-weight materials such as wood or carbon-fiber reinforced polymers (CFRP) and harvest solar energy through the photoelectric effect by bonding thin film solar cells to the surface of the main wings, and potentially the fuselage and empennage as well. The electrical energy harvested during the day is then stored in on-board chemical batteries (e.g. Lithium-Ion, Lithium-Sulfur etc…) and used for propelling the aircraft at all times, including at night. For the system to work there needs to be an overproduction of energy during the day, so that the aircraft can use the stored energy to stay aloft at night. The flight altitude of about 60,000-70,000 feet is critical to stay above the clouds and not to interfere with commercial air traffic. Depending on the length of day, i.e. the diurnal cycle which determines the number of sunshine hours per day, which itself depends on the latitude and time-of-year (seasonality) the problem is easier or harder. The reference case in the technology roadmap is an equatorial mission (latitude = zero) with 12 hours of day and 12 hours of night.

==Design Structure Matrix (DSM) Allocation==

[[File:DSM DAC.png]]
[[File:ClassificationTree DAC small.png]]

The DSM was created in the context of Carbon Capture, including DEC (Direct Emission Capture), DOC (Direct Ocean Capture), and DAC (Direct Air Capture).  As the DSM shows sparse connections among the level-3 technologies, the technology will focus on DAC. The level-4 and level-5 technologies related to DAC are included in the DSM.  At level-5, we see some interconnection between the liquid-solvent system and the solid-sorbent system. The tree highlights the key relationships in the DSM from level-1 CCUS to several level-5 technologies.

==Roadmap Model using OPM==
We provide an Object-Process-Diagram (OPD)  of the 2SEA roadmap in the figure below. This diagram captures the main object of the roadmap (Solar-Electric Aircraft), its various instances including main competitors, its decomposition into subsystems (wing, battery, e-motor …), its characterization by Figures of Merit (FOMs) as well as the main processes (Flying, Recharging).

[[File:Section 3.JPG]]

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. 

[[File:Section 3_2.JPG]]

==Figures of Merit==
The table below show a list of FOMs by which solar electric aircraft can be assessed. The first four (shown in bold) are used to assess the aircraft itself. They are very similar to the FOMs that are used to compare traditional aircraft which are propelled by fossil fuels, the big difference being that 2SEA is essentially emissions free during flight operations. The other rows represent subordinated FOMs which impact the performance and cost of solar electric aircraft but are provided as outputs (primary FOMs) from lower level roadmaps at level 3 or level 4, see the DSM above.

[[File:Section 4_.JPG]]

Besides defining what the FOMs are, this section of the roadmap should also contain the FOM trends over time dFOM/dt as well as some of the key governing equations that underpin the technology. These governing equations can be derived from physics (or chemistry, biology ..) or they can be empirically derived from a multivariate regression model. The table below shows an example of a key governing equation governing (solar-) electric aircraft.

[[File:Section 4_2.JPG]]