Difference between revisions of "Space Resource Generation"

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==Design Structure Matrix (DSM) Allocation==
==Design Structure Matrix (DSM) Allocation==

Revision as of 12:46, 10 October 2024

Roadmap Creators: | Lanie McKinney

Technology Roadmap Sections and Deliverables

This technology roadmap has the unique identifier:

1SRG - Space Resource Generation

The number 1 denotes that this is a Level 1 technology roadmap at the market level. In reference to our technology, Level 1 encompasses all conversion technologies used in space, Level 2 describes the product level, for example oxygen generation. Level 3, the system level, could reference a solid oxide electrolysis system for oxygen production and Level 4, the subsystem level could represent the material used for the electrode stack.

Roadmap Overview

Space Resource Generation refers to the thermal or chemical conversion processes to generate resources in space environments which relax launch requirements, and subsequently enable a range of exploration and commercial activities in space. The commercial space market is set to be valued at ~1.8 trillion USD by 2035, and space resource technologies will be needed to support numerous human space stations, rocket refueling, metal production, radiation shielding, etc. in Low-Earth Orbit, the Moon, Mars, and beyond. Space resource generation includes both “in-situ resource utilization” (ISRU) and resource recycling technologies, because these two categories of technologies share similar operating principles and may provide different value across different environments.


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Design Structure Matrix (DSM) Allocation

Section 2.JPG

The 1-SRG tree from the DSM above shows us that the Space Resource Generation (1-SRG) has a range of

part of a larger company-wide initiative on electrification of flight (1ELE), and that it requires the following key enabling technologies at the subsystem level: 3CFP Carbon Fiber Polymers, 3HEP Hybrid Electric Propulsion and 3EPS Non-Propulsive Energy Management (e.g. this includes the management of the charge-discharge cycle of the batteries during the day-night cycle). In turn these require enabling technologies at level 4, the technology component level: 4CMP components made from CFRP (spars, wing box, fairings …), 4EMT electric machines (motors and generators), 4ENS energy sources (such as thin film photovoltaics bonded to flight surfaces) and 4STO (energy storage in the form of lithium-type batteries).

Roadmap Model using OPM

We provide an Object-Process-Diagram (OPD) of the 1SRG roadmap in the figure below. This diagram captures the main product of the roadmap (Space Resource Generation Systems), and decomposes the various possible common subsystems of these technologies (acquisition, heating, compression, conversion, separation stages …), its characterization by Figures of Merit (FOMs) as well as the main processes (Acquiring, Converting).

File:ISRU SD SD jpeg (2).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:ISRU (1).jpg

Figures of Merit

The table below show a list of FOMs that can be used to assess Space Resource Generation Technologies.

Figure of Merit Unit Description
Production Rate kg/hr the rate of generating a target product
Lifetime Embodied Energy MJ/kg the thermodynamic sum of past, present and future work required to create, operate, maintain and decommission a system per kg of product produced
Specific Energy Consumption kWh/kg total energy required to produce a kg of product
Launch-adjusted Atom Economy % ratio of mass of useful product generated to the total mass of reactants and launched mass needed


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.

Section 4 2.JPG