Difference between revisions of "Space-based Solar Power"

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[[File: Space-based_solar_power_article.png |700px|center]]  
[[File: Space-based_solar_power_article.png |700px|center]]  


This technology transforms solar radiation using a spacecraft with solar panels, then wirelessly transmits it. The energy is then captured by a receiver and converted to electricity before storage and/or distribution.​
This technology transforms solar radiation into energy using the solar panels on a spacecraft, which then wirelessly transmit the energy to a receiving ground station. The captured energy is then converted to electricity before storage and/or distribution.​


A large solar array would be used to take advantage of the higher intensity sunlight outside of a planet's atmosphere using existing solar panel technology, then the electricity would be converted to an advantageous frequency for wirelessly transmitting long distances in a focused and steerable way – a key technical challenge. Finally, it would be received and converted back to electricity at the ground station or satellite for use.​
​The large solar array would take advantage of the higher intensity of sunlight outside the planet's atmosphere, as well as unimpeded access to the sun that is unconstrained by the day/night cycle. The electricity is then channeled to a transmitter for long distance wireless transfer via a focused and steerable beam – a key technical challenge. On Earth, the energy would be received and converted back to electricity by the ground station for use.​


''Potential Use Cases: ​''


Simplify energy delivery to remote areas
{| class="wikitable"
|-
! Number !! Potential Use Cases
|-
|  '''1''' || Simplify energy delivery to remote areas '''
|-
|  '''2''' || Provide more consistent solar power to high latitudes​ '''
|-
|  '''3''' || Provide disaster relief to areas with damaged infrastructure​'''
|-
|  '''4''' || Recharge other satellites on orbit'''
|-
|}


Provide more consistent solar power to high latitudes​


Provide disaster relief to areas with damaged infrastructure​


Recharge other satellites on orbit
==Design Structure Matrix (DSM) Allocation==
 
[[File:DSM SPS.png |900px|center]]
 
The 2-SSP tree that we can extract from the DSM above shows us that Space-based Solar Power (2SSP) is part of a larger initiative on renewable energy sources (1RES). It requires the following key enabling technologies at the subsystem level: 3HSP High-Efficiency Solar Panels, 3HPC High-Power Conversion, and 3WPS Wireless Power Transfer (e.g., this includes the management of energy distribution and efficiency). In turn, these technologies require enabling components at level 4, the technology component level: 4PVM Photovoltaic Materials, 4SUC Supercapacitors, 4SCD Semiconductor Devices, and 4ATS Antenna Structures, etc.
 
'''[Interdependencies with other roadmaps​]'''​


Potentially required for assembly​:


==Design Structure Matrix (DSM) Allocation==
[[https://roadmaps.mit.edu/index.php/Space_Booms 3SB]] - Space Booms
 
Potentially required for assembly​:
 
[[https://roadmaps.mit.edu/index.php/On_Orbit_Refueling_Repositioning 3OORR]] - On Orbit Refueling and Repositioning
 
Will aid debris avoidal capability​:
 
[[https://roadmaps.mit.edu/index.php/Ground_Based_Radar_For_Space_Situational_Awareness 2GREAT]] - Ground Based Radar For Space Situational Awareness
 
Will aid debris avoidal capability​:
 
[[https://roadmaps.mit.edu/index.php/Detect_And_Avoid_Autonomous_Augmentation_System 4DAA]] Detect And Avoid Autonomous Augmentation System
 
Necessary for reaction control system​:
 
[[https://roadmaps.mit.edu/index.php/Space_electric_propulsion 2SEP]] - Space Electric Propulsion
 
Necessary for spacecraft thermal control​
 
[[https://roadmaps.mit.edu/index.php/Variable_Emissivity_Materials_For_Spacecraft 4VEM]] - Variable Emissivity Materials for Spacecraft


[[File: DSM SPS.png |900px|center]]


==Roadmap Model using OPM==
==Roadmap Model using OPM==
In the figure below, we provide an Object-Process-Diagram (OPD) of the 2SSP roadmap. This diagram captures the main object of the roadmap (Space-based Solar Power), its various instances, including main competitors, its decomposition into subsystems, its characterization by Figures of Merit (FOMs), as well as the main processes (Transmitting, Receiving, etc.).


[[File: OPM SPS.png |750px|center]]  
[[File: OPM SPS.png |750px|center]]  
Line 36: Line 75:


==Figures of Merit==
==Figures of Merit==
The table below shows a list of FOMs by which space-based solar power can be assessed. The table also contains the FOM trends as well as the key governing equations that underpin the technology.


[[File: FOM SPS.png |1400px|center]]
[[File: FOM SPS.png |1400px|center]]
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[[File: Key_Equations_SPS.png |500px]]
[[File: Key_Equations_SPS.png |500px]]


==Alignment with "Company" Strategic Drivers : FOM Targets​==
SSP is designed and developed as a fundamentally disruptive technology, leveraging a combination of advancements in solar cell efficiency, wireless power transmission, space-based construction, and other enabling technologies. To be commercially viable, SSP must demonstrate significant scalability to address large energy demands and be able to significantly reduce cost per unit of energy. ​
[[File: SPS_FOM_Target.png |1000px|center]]
The technology roadmap formulates a set of FOM targets that SSP needs to achieve. These drivers are currently aligned with the SSP technology roadmap.​
==Positioning of Company vs. Competition: FOM charts​==
[[File: LCOE_vs_Power_Output_Capacity_Comparison.png |600px|center]]
This chart compares the Levelized Cost of Electricity (LCOE) and the Power Output Capacity for various power generation technologies. The X-axis represents the LCOE values in USD per megawatt-hour (MWh), sourced from the U.S. Energy Information Administration (EIA) report[Ref4]. LCOE is a key indicator of the cost-effectiveness of different power generation methods, considering the total lifetime costs divided by the total electricity output over the plant’s operational life. The Y-axis represents the Power Output Capacity in megawatts (MW), which indicates the maximum electrical output that each type of power plant can generate[Ref4-9]. Since the capacity depends on the scale and specific design of each facility, the chart displays a range of typical values as a reference for each technology. These ranges reflect the variety of installations, from smaller local plants to large-scale facilities.​
[[File: Roland_Berger_INS_869_Study_ESA_SBSP_GT_02_image_caption_w1280.jpg |700px|center]]
The Roland Berger study for the European Space Agency (ESA) highlights the promising potential of SSP in the future energy market[Ref10]. According to the report, by 2050, the Levelized Cost of Energy (LCOE) for the first operational SBSP system could reach around 69 EUR/MWh ($73/MWh). Additionally, with the learning curve effect, the LCOE might decrease to approximately 49 EUR/MWh ($52/MWh) after deploying the first 10 SSP stations.​
This suggests that SSP could achieve a competitive LCOE compared to other power generation technologies.The economic viability of SSP will depend on factors such as climate policy implementation and future energy supply conditions. The study outlines scenarios with electricity prices ranging from 25 to 300 EUR/MWh (~$27 to ~$319/MWh), indicating that SSP could be economically competitive within this range.​
Regarding Power Output Capacity, while detailed data is not yet available, SSP’s potential for continuous power generation in space—unaffected by the Earth’s day-night cycle or atmospheric conditions—could lead to significantly higher capacity factors. This continuous generation could enable SSP to achieve substantial and consistent power output, potentially rivaling or surpassing traditional baseload power sources.​
==Technical Model: Morphological Matrix and Tradespace​==
The morphological matrix displays the primary technology options available at the initial level of decomposition, as shown in the figure below. Our chosen selections are highlighted in green.
[[File: SSP_MorMatrix.jpg |900px|center]]
This tornado chart illustrates the sensitivity analysis of the Levelized Cost of Electricity (LCOE). The horizontal axis shows the percentage change in LCOE for a 1% variation in each input Figure of Merit (FOM). The chart reveals that Annual Energy Output has the most significant impact on LCOE, followed by Annual Maintenance Cost and Initial Investment. In contrast, the effects of Discount Rate and System Lifespan are relatively smaller. This analysis helps identify the key factors that can effectively reduce LCOE.
[[File: SSP_LCOE.png |500px]]
[[File: SSP_LCOE_FOM.png |400px]]
The Tornado chart for the power delivered indicates that the relative performance increases are constant due to the linear formula.
[[File: SSP_Power_delivered.png |500px]]
[[File: SSP_Power_generated_FOM.png |400px]]
==Keys Publication and patents==
===Key Publication===
===== 1. Space-Based Solar Power, Rodgers, E., et al., NASA Office of Technology, Policy, & Strategy​, 2024 =====
: The study focuses on the feasibility of a 2-gigawatt SSP system and explores the questions of the mission design (one large system or multiple smaller ones), lifecycle calculations, and performed sensitivity analyses on various factors. The results are summarized in Figure 1. Their conclusions were that the most competitive options used lower launch costs, electric propulsion from LEO to GEO, long service lifetimes, cheaper servicing vehicles, and efficient large-scale production. Although currently estimated to be 12-80 times more costly than terrestrial alternatives, further advancements may make this technology feasible.​
::Power beaming was not considered as part of the sensitivity analysis, and is a key technical challenge for SSP. Although demonstrated in June 2023 at Caltech, significant improvements still need to be made for a system of this scale3. ​
[[File: Publication1.png |500px|center|thumb| Figure 1: Results of a sensitivity analysis of factors critical to a successful SSP system. Green triangles show capabilities already achieved, yellow achievable today, and red triangles are below today's capability.[Ref12]]]
===== 2. A new concept of space solar power satellite, Li X. et al. 2017 =====
: This publication describes a concept for SSP that heavily utilizes ε-near-zero metamaterial to focus sunlight normal to a photovoltaic array as depicted in Figures 1 and 2. The purpose of this is to improve efficiency and reduce the mass of the overall system, which is a major concern due to launch and manufacturing costs when the example system would need a spherical condenser with a diameter of 1.5 km. To reduce the number of systems needed, a geosynchronous orbit is recommended. After focusing the sunlight on the PV array, the generated DC power would be transmitted through a 1km antenna at 5.8 GHz to a 4km diameter rectenna on the ground. An overall concept is depicted in Figure 3.​
<gallery widths="400" heights="300">
File: Publication2.png |500px]|thumb|Figure 2 [Ref14]
File: Publication3.png |500px]|thumb|Figure 3 [Ref14]
File: Publication4.png |500px]|thumb|Figure 4 [Ref14]
</gallery>
===Patents===
=====A. CPC Classification: H02S 40/22, H02S 40/20, Y02E 10/52​ =====
: The patent describes this technology as "a structural substrate body having an array of solar concentrators configured to receive and re-direct solar radiation onto a plurality of photovoltaic (PV) cells". As depicted in Figure 5, this allows a user to reduce the amount of area covered with PV arrays while still capturing the energy from a larger area. Placing the PV cell as depicted in the figure also allows greater efficiencies by not requiring a separate structural support – the reflectors (#103) and PV cells (#104) utilize the same ones.​
[[File: Patents1.png |400px|center|thumb| Figure 5 [Ref15]]]
===== B. CPC Classification: H04B 7/18513, B64G 1/428; H02S 40/30​ =====
: As mentioned earlier in the publication study, sunlight needs to be focused normal to the PV array to achieve the highest efficiency. This patent covers several methods of achieving this in a SSP system using sun sensors in configuration to coordinate turning the tiles for the highest intensity of illumination. A wide number of methods are included such as placing sensors directly on the tiles, orienting them around the area on the spacecraft, receiving signals from other systems (such as GPS), and even smaller sensor spacecraft orbiting the main spacecraft that transforms and beams the energy. A general concept depiction is shown in Figure 6 and the generic process is shown in Figure 7.​
<gallery widths="400" heights="300">
File:Patentssp2.png|thumb|Figure 6 [Ref16]
File:Patentsssp3.png|thumb|Figure 7 [Ref16]
</gallery>
==Financial Model==
We utilized NASA's plan [Ref2] as a baseline and adjusted accordingly to meet our lower power requirement of 1GW (compared to NASA's plan for a 2GW system). We aim to meet an LCOE of $80/MWh but begin at $638/MWh with NASA's currently laid path. $80/MWh is used as our finish line due to its existence as the current competitive average for power generation methods such as coal, nuclear, and biomass.
<gallery widths="700" heights="250">
File:SSP_Current.png|thumb|
File:SSP_Target.png|thumb|
</gallery>
<gallery widths="500" heights="200">
File:SSP_Solar_Concentration.png|thumb|
File:SSP_Solar_Panel.png|thumb|
File:SSP_Recover.png|thumb|
File:SSP_DCtoRF.png|thumb|
File:SSP_Launch_cost.png|thumb|
</gallery>
These changes were implemented to attempt to bring LCOE down as close to $80/MWh as possible, while staying somewhat within technological reason. Once these changes were applied, we used the difference between total costs to determine a maximum allowance for R&D to obtain this possibility. However, it is worth noting that the current assessment developed by NASA is not intended to be economically feasible, and thereby is not a reasonable basis for determining how much we should invest into R&D. Instead, this $69.6B merely indicates the cost value of such stated improvements to the technology by using an LCOE analysis as a determinant of the system's economic viability. Instead, a better but more intensive method of determining how much we should invest would be to plot the projected commercial improvement of these technologies over time and allot funding to bolster those that we believe would be most impactful. For instance, launch costs currently account for ~70% of the SSP system's lifetime cost, and we would benefit heavily from any cost reductions.​ But, as shown on the graphs below, which identify trends in improvement for launch costs and solar panel efficiency over time, we can tentatively predict that many of the improvements we would like to see will emerge organically through the commercial market.
<gallery widths="500" heights="280">
File:SSP_Launchcost.jpg|thumb|Launch Costs [Ref17]
File:SSP_Cellefficiency.png|thumb|Leading Solar Cell Efficiencies [Ref18]​
</gallery>
However, some improvements in these FOMs may not arise organically and thereby may require additional R&D funding from us to push them to the target values. Further, there are additional subsystems and supporting systems that would benefit from investment, such as improvements to the lifespan of the solar panels and the creation of an autonomous system capable of intercepting space debris. If space debris were to collide with this system, which is several square kilometers in size, the damage done would both require hefty maintenance costs and decrease overall system reliability.
Ultimately, we would need to see an LCOE approaching $80/MWh to be economically feasible, which does appear in the Target Baselines shown above. Any R&D funding to achieve or improve these Target Utility Baselines would deduct accordingly from the one or multiple of the Target Cost Baselines.
==List of R&T Projects and Prototypes (R&D Portfolio)==
Space Solar Power requires a number of technology advancements to be feasible on a scale that would make it competitive. While parts of the basic concept have been demonstrated, scaling to the much larger capacity and increasing the efficiency prior to reduce the cost would be critical. The R&D projects that would be required for this are listed below.
{| class="wikitable"
|-
! Technology !! Description !! Targets
|-
| '''Power Beaming Demonstrator''' || CalTech has demonstrated space solar power beaming in June 2023, but a full demonstration to beam power back to Earth is a key milestone. This would show that the full concept is feasible at the increased distance and that it can be achieved at a reasonable efficiency. || Demonstrate 50% efficiency with initial test; Achieve 95% transmission efficiency by 2040
|-
| '''High-efficiency Solar Panels''' || Current solar cell efficiencies are around 35%, but due to the large amount of mass that would need to be launched, increasing this would make the project much more feasible from a cost perspective. || 50% cell efficiency to be competitive; 80% by 2040 to approach theoretical limits
|-
| '''4VEM – Variable Emissivity Materials''' || Managing temperature is critical for any system and would be especially important given that SSP is gathering so much energy. Making use of thermal properties to optimize building the spacecraft and save mass would be another progression. || See [https://roadmaps.mit.edu/index.php/Variable_Emissivity_Materials_For_Spacecraft 4VEM] Roadmap
|-
| '''4DAA – Detect and Avoid Autonomous Augmentation System''' || Detecting and avoiding debris is becoming a larger issue today, and unless improvements are made this will be a considerable issue in the coming decades. If that is the case, detecting and maneuvering for avoidance would be required. Given the size of the solar panels, this would be a considerable task and likely require technological improvements. || See [https://roadmaps.mit.edu/index.php/Detect_And_Avoid_Autonomous_Augmentation_System 4DAA] Roadmap
|-
| '''2GREAT – Ground Based Radar for Space Situational Awareness''' || The Ground Based Radar for Space Situational Awareness could be used to significantly help the 4DAA system in its role to avoid space debris, and would have the same impacts as that technology. Alternatively, it could potentially be used in lieu of 4DAA to accomplish the task. || See [https://roadmaps.mit.edu/index.php/Ground_Based_Radar_For_Space_Situational_Awareness 2GREAT] Roadmap
|}
==Technology Strategy Statement==
'''The primary objective of the SSP roadmap is to develop SSP technology that can operate on a significant scale. Thus far, challenges such as high costs, limited efficiency, and technical complexities hinder SSP from becoming a viable solution. With advancements in launch costs, energy transmission, and cell efficiency, SSP could contribute towards a sustainable future with abundant clean energy. SSP enables the vision of a society that achieves growth by harnessing renewable energy from space without relying on terrestrial fossil fuels.
'''
[[File:SSP_Roadmap.png|center|600px]]


=References=
=References=
Line 49: Line 226:


[3] European Space Agency. 2023. Space-based solar power: seeking ideas to make it a reality. ESA. https://www.esa.int/Enabling_Support/Preparing_for_the_Future/Discovery_and_Preparation/Space-based_solar_power_seeking_ideas_to_make_it_a_reality
[3] European Space Agency. 2023. Space-based solar power: seeking ideas to make it a reality. ESA. https://www.esa.int/Enabling_Support/Preparing_for_the_Future/Discovery_and_Preparation/Space-based_solar_power_seeking_ideas_to_make_it_a_reality
[4] U.S. Energy Information Administration. (2022, March). Levelized Costs of New Generation Resources in the Annual Energy Outlook 2022. https://www.eia.gov/outlooks/aeo/pdf/electricity_generation.pdf
[5] National Renewable Energy Laboratory. (n.d.). Geothermal Electricity Technology. https://www.nrel.gov/geothermal/geothermal-electricity-technology.html
[6] International Renewable Energy Agency. (n.d.). Renewable Capacity Statistics. https://www.irena.org/Statistics/View-Data-by-Topic/Capacity-and-Generation/Technologies
[7] World Nuclear Association. (n.d.). Nuclear Power in the World Today. https://www.world-nuclear.org/information-library/current-and-future-generation/nuclear-power-in-the-world-today.aspx
[8] U.S. Environmental Protection Agency. (2019). Wind Turbines Fact Sheet. https://www.epa.gov/sites/default/files/2019-08/documents/wind_turbines_fact_sheet_p100il8k.pdf
[9] International Hydropower Association. (n.d.). Hydropower Country Profiles. https://www.hydropower.org/country-profiles
[10] Hader, M., & Hoyer, M. (2022). Space-based solar power: Helping decarbonize Europe and make it more energy resilient thanks to electricity generated in space. Roland Berger. https://www.rolandberger.com/en/Insights/Publications/Space-based-Solar-Power.html
[11] NASA. (2013). Flight Avionics Hardware Roadmap (NASA/TM–2013-217986). https://ntrs.nasa.gov/api/citations/20130013356/downloads/20130013356.pdf
[12] NASA. (2024, January). Space-Based Solar Power: A NASA Technology Assessment. NASA Office of Technology, Policy, and Strategy. https://www.nasa.gov/wp-content/uploads/2024/01/otps-sbsp-report-final-tagged-approved-1-8-24-tagged-v2.pdf
[13] Caltech. (2023, June 1). In a First, Caltech's Space Solar Power Demonstrator Wirelessly Transmits Power in Space. California Institute of Technology. https://www.caltech.edu/about/news/in-a-first-caltechs-space-solar-power-demonstrator-wirelessly-transmits-power-in-space
[14] Li, X., Duan, B., Song, L., Yang, Y., Zhang, Y., & Wang, D. (2017). A new concept of space solar power satellite. Acta Astronautica, 136, 255-264. https://www.sciencedirect.com/science/article/pii/S0094576516311092
[15] Mankins, J. C. (2021). U.S. Patent No. 10,992,253. Washington, DC: U.S. Patent and Trademark Office.
[16] Mankins, J. C. (2019). U.S. Patent No. 10,454,565. Washington, DC: U.S. Patent and Trademark Office.
[17] "Launch costs to low Earth orbit, 1980-2100." Future Timeline. https://futuretimeline.net/data-trends/6.htm
[18] National Renewable Energy Laboratory. "Best Research-Cell Efficiency Chart." NREL.gov. https://www.nrel.gov/pv/cell-efficiency.html

Latest revision as of 06:50, 26 November 2024

Technology Roadmap Sections and Deliverables

  • 2SSP - Space-based Solar Power

We’ve chosen the acronym 2SSP to represent our technology of Space-based Solar Power. The 2 in our acronym implies the system level, within the level 1 system of renewable energy source​. Our level 2 system level can be broken down into level 3 subsystems (high-efficiency solar panels​, wireless power transfer, etc.) and level 4 components (photovoltaic materials​, antenna structures, etc.).

Roadmap Overview

The working principle of Space-based Solar Power is depicted in the below.

Space-based solar power article.png

This technology transforms solar radiation into energy using the solar panels on a spacecraft, which then wirelessly transmit the energy to a receiving ground station. The captured energy is then converted to electricity before storage and/or distribution.​

​The large solar array would take advantage of the higher intensity of sunlight outside the planet's atmosphere, as well as unimpeded access to the sun that is unconstrained by the day/night cycle. The electricity is then channeled to a transmitter for long distance wireless transfer via a focused and steerable beam – a key technical challenge. On Earth, the energy would be received and converted back to electricity by the ground station for use.​


Number Potential Use Cases
1 Simplify energy delivery to remote areas
2 Provide more consistent solar power to high latitudes​
3 Provide disaster relief to areas with damaged infrastructure​
4 Recharge other satellites on orbit


Design Structure Matrix (DSM) Allocation

DSM SPS.png

The 2-SSP tree that we can extract from the DSM above shows us that Space-based Solar Power (2SSP) is part of a larger initiative on renewable energy sources (1RES). It requires the following key enabling technologies at the subsystem level: 3HSP High-Efficiency Solar Panels, 3HPC High-Power Conversion, and 3WPS Wireless Power Transfer (e.g., this includes the management of energy distribution and efficiency). In turn, these technologies require enabling components at level 4, the technology component level: 4PVM Photovoltaic Materials, 4SUC Supercapacitors, 4SCD Semiconductor Devices, and 4ATS Antenna Structures, etc.

[Interdependencies with other roadmaps​]

Potentially required for assembly​:

[3SB] - Space Booms

Potentially required for assembly​:

[3OORR] - On Orbit Refueling and Repositioning

Will aid debris avoidal capability​:

[2GREAT] - Ground Based Radar For Space Situational Awareness

Will aid debris avoidal capability​:

[4DAA] Detect And Avoid Autonomous Augmentation System

Necessary for reaction control system​:

[2SEP] - Space Electric Propulsion

Necessary for spacecraft thermal control​

[4VEM] - Variable Emissivity Materials for Spacecraft


Roadmap Model using OPM

In the figure below, we provide an Object-Process-Diagram (OPD) of the 2SSP roadmap. This diagram captures the main object of the roadmap (Space-based Solar Power), its various instances, including main competitors, its decomposition into subsystems, its characterization by Figures of Merit (FOMs), as well as the main processes (Transmitting, Receiving, etc.).


OPM SPS.png
OPM2 SPS.png

Figures of Merit

The table below shows a list of FOMs by which space-based solar power can be assessed. The table also contains the FOM trends as well as the key governing equations that underpin the technology.


FOM SPS.png

Key Equations SPS.png

Alignment with "Company" Strategic Drivers : FOM Targets​

SSP is designed and developed as a fundamentally disruptive technology, leveraging a combination of advancements in solar cell efficiency, wireless power transmission, space-based construction, and other enabling technologies. To be commercially viable, SSP must demonstrate significant scalability to address large energy demands and be able to significantly reduce cost per unit of energy. ​

SPS FOM Target.png

The technology roadmap formulates a set of FOM targets that SSP needs to achieve. These drivers are currently aligned with the SSP technology roadmap.​


Positioning of Company vs. Competition: FOM charts​

LCOE vs Power Output Capacity Comparison.png

This chart compares the Levelized Cost of Electricity (LCOE) and the Power Output Capacity for various power generation technologies. The X-axis represents the LCOE values in USD per megawatt-hour (MWh), sourced from the U.S. Energy Information Administration (EIA) report[Ref4]. LCOE is a key indicator of the cost-effectiveness of different power generation methods, considering the total lifetime costs divided by the total electricity output over the plant’s operational life. The Y-axis represents the Power Output Capacity in megawatts (MW), which indicates the maximum electrical output that each type of power plant can generate[Ref4-9]. Since the capacity depends on the scale and specific design of each facility, the chart displays a range of typical values as a reference for each technology. These ranges reflect the variety of installations, from smaller local plants to large-scale facilities.​

Roland Berger INS 869 Study ESA SBSP GT 02 image caption w1280.jpg

The Roland Berger study for the European Space Agency (ESA) highlights the promising potential of SSP in the future energy market[Ref10]. According to the report, by 2050, the Levelized Cost of Energy (LCOE) for the first operational SBSP system could reach around 69 EUR/MWh ($73/MWh). Additionally, with the learning curve effect, the LCOE might decrease to approximately 49 EUR/MWh ($52/MWh) after deploying the first 10 SSP stations.​

This suggests that SSP could achieve a competitive LCOE compared to other power generation technologies.The economic viability of SSP will depend on factors such as climate policy implementation and future energy supply conditions. The study outlines scenarios with electricity prices ranging from 25 to 300 EUR/MWh (~$27 to ~$319/MWh), indicating that SSP could be economically competitive within this range.​

Regarding Power Output Capacity, while detailed data is not yet available, SSP’s potential for continuous power generation in space—unaffected by the Earth’s day-night cycle or atmospheric conditions—could lead to significantly higher capacity factors. This continuous generation could enable SSP to achieve substantial and consistent power output, potentially rivaling or surpassing traditional baseload power sources.​

Technical Model: Morphological Matrix and Tradespace​

The morphological matrix displays the primary technology options available at the initial level of decomposition, as shown in the figure below. Our chosen selections are highlighted in green.

SSP MorMatrix.jpg

This tornado chart illustrates the sensitivity analysis of the Levelized Cost of Electricity (LCOE). The horizontal axis shows the percentage change in LCOE for a 1% variation in each input Figure of Merit (FOM). The chart reveals that Annual Energy Output has the most significant impact on LCOE, followed by Annual Maintenance Cost and Initial Investment. In contrast, the effects of Discount Rate and System Lifespan are relatively smaller. This analysis helps identify the key factors that can effectively reduce LCOE.

SSP LCOE.png SSP LCOE FOM.png


The Tornado chart for the power delivered indicates that the relative performance increases are constant due to the linear formula.

SSP Power delivered.png SSP Power generated FOM.png


Keys Publication and patents

Key Publication

1. Space-Based Solar Power, Rodgers, E., et al., NASA Office of Technology, Policy, & Strategy​, 2024
The study focuses on the feasibility of a 2-gigawatt SSP system and explores the questions of the mission design (one large system or multiple smaller ones), lifecycle calculations, and performed sensitivity analyses on various factors. The results are summarized in Figure 1. Their conclusions were that the most competitive options used lower launch costs, electric propulsion from LEO to GEO, long service lifetimes, cheaper servicing vehicles, and efficient large-scale production. Although currently estimated to be 12-80 times more costly than terrestrial alternatives, further advancements may make this technology feasible.​
Power beaming was not considered as part of the sensitivity analysis, and is a key technical challenge for SSP. Although demonstrated in June 2023 at Caltech, significant improvements still need to be made for a system of this scale3. ​
Figure 1: Results of a sensitivity analysis of factors critical to a successful SSP system. Green triangles show capabilities already achieved, yellow achievable today, and red triangles are below today's capability.[Ref12]


2. A new concept of space solar power satellite, Li X. et al. 2017
This publication describes a concept for SSP that heavily utilizes ε-near-zero metamaterial to focus sunlight normal to a photovoltaic array as depicted in Figures 1 and 2. The purpose of this is to improve efficiency and reduce the mass of the overall system, which is a major concern due to launch and manufacturing costs when the example system would need a spherical condenser with a diameter of 1.5 km. To reduce the number of systems needed, a geosynchronous orbit is recommended. After focusing the sunlight on the PV array, the generated DC power would be transmitted through a 1km antenna at 5.8 GHz to a 4km diameter rectenna on the ground. An overall concept is depicted in Figure 3.​




Patents

A. CPC Classification: H02S 40/22, H02S 40/20, Y02E 10/52​
The patent describes this technology as "a structural substrate body having an array of solar concentrators configured to receive and re-direct solar radiation onto a plurality of photovoltaic (PV) cells". As depicted in Figure 5, this allows a user to reduce the amount of area covered with PV arrays while still capturing the energy from a larger area. Placing the PV cell as depicted in the figure also allows greater efficiencies by not requiring a separate structural support – the reflectors (#103) and PV cells (#104) utilize the same ones.​
Figure 5 [Ref15]
B. CPC Classification: H04B 7/18513, B64G 1/428; H02S 40/30​
As mentioned earlier in the publication study, sunlight needs to be focused normal to the PV array to achieve the highest efficiency. This patent covers several methods of achieving this in a SSP system using sun sensors in configuration to coordinate turning the tiles for the highest intensity of illumination. A wide number of methods are included such as placing sensors directly on the tiles, orienting them around the area on the spacecraft, receiving signals from other systems (such as GPS), and even smaller sensor spacecraft orbiting the main spacecraft that transforms and beams the energy. A general concept depiction is shown in Figure 6 and the generic process is shown in Figure 7.​

Financial Model

We utilized NASA's plan [Ref2] as a baseline and adjusted accordingly to meet our lower power requirement of 1GW (compared to NASA's plan for a 2GW system). We aim to meet an LCOE of $80/MWh but begin at $638/MWh with NASA's currently laid path. $80/MWh is used as our finish line due to its existence as the current competitive average for power generation methods such as coal, nuclear, and biomass.

These changes were implemented to attempt to bring LCOE down as close to $80/MWh as possible, while staying somewhat within technological reason. Once these changes were applied, we used the difference between total costs to determine a maximum allowance for R&D to obtain this possibility. However, it is worth noting that the current assessment developed by NASA is not intended to be economically feasible, and thereby is not a reasonable basis for determining how much we should invest into R&D. Instead, this $69.6B merely indicates the cost value of such stated improvements to the technology by using an LCOE analysis as a determinant of the system's economic viability. Instead, a better but more intensive method of determining how much we should invest would be to plot the projected commercial improvement of these technologies over time and allot funding to bolster those that we believe would be most impactful. For instance, launch costs currently account for ~70% of the SSP system's lifetime cost, and we would benefit heavily from any cost reductions.​ But, as shown on the graphs below, which identify trends in improvement for launch costs and solar panel efficiency over time, we can tentatively predict that many of the improvements we would like to see will emerge organically through the commercial market.

However, some improvements in these FOMs may not arise organically and thereby may require additional R&D funding from us to push them to the target values. Further, there are additional subsystems and supporting systems that would benefit from investment, such as improvements to the lifespan of the solar panels and the creation of an autonomous system capable of intercepting space debris. If space debris were to collide with this system, which is several square kilometers in size, the damage done would both require hefty maintenance costs and decrease overall system reliability.

Ultimately, we would need to see an LCOE approaching $80/MWh to be economically feasible, which does appear in the Target Baselines shown above. Any R&D funding to achieve or improve these Target Utility Baselines would deduct accordingly from the one or multiple of the Target Cost Baselines.

List of R&T Projects and Prototypes (R&D Portfolio)

Space Solar Power requires a number of technology advancements to be feasible on a scale that would make it competitive. While parts of the basic concept have been demonstrated, scaling to the much larger capacity and increasing the efficiency prior to reduce the cost would be critical. The R&D projects that would be required for this are listed below.

Technology Description Targets
Power Beaming Demonstrator CalTech has demonstrated space solar power beaming in June 2023, but a full demonstration to beam power back to Earth is a key milestone. This would show that the full concept is feasible at the increased distance and that it can be achieved at a reasonable efficiency. Demonstrate 50% efficiency with initial test; Achieve 95% transmission efficiency by 2040
High-efficiency Solar Panels Current solar cell efficiencies are around 35%, but due to the large amount of mass that would need to be launched, increasing this would make the project much more feasible from a cost perspective. 50% cell efficiency to be competitive; 80% by 2040 to approach theoretical limits
4VEM – Variable Emissivity Materials Managing temperature is critical for any system and would be especially important given that SSP is gathering so much energy. Making use of thermal properties to optimize building the spacecraft and save mass would be another progression. See 4VEM Roadmap
4DAA – Detect and Avoid Autonomous Augmentation System Detecting and avoiding debris is becoming a larger issue today, and unless improvements are made this will be a considerable issue in the coming decades. If that is the case, detecting and maneuvering for avoidance would be required. Given the size of the solar panels, this would be a considerable task and likely require technological improvements. See 4DAA Roadmap
2GREAT – Ground Based Radar for Space Situational Awareness The Ground Based Radar for Space Situational Awareness could be used to significantly help the 4DAA system in its role to avoid space debris, and would have the same impacts as that technology. Alternatively, it could potentially be used in lieu of 4DAA to accomplish the task. See 2GREAT Roadmap

Technology Strategy Statement

The primary objective of the SSP roadmap is to develop SSP technology that can operate on a significant scale. Thus far, challenges such as high costs, limited efficiency, and technical complexities hinder SSP from becoming a viable solution. With advancements in launch costs, energy transmission, and cell efficiency, SSP could contribute towards a sustainable future with abundant clean energy. SSP enables the vision of a society that achieves growth by harnessing renewable energy from space without relying on terrestrial fossil fuels.

SSP Roadmap.png

References

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