Cosmos Perfect Creatures

Distributed Power Generation Solution of Venus Exploration

High-Level Project Summary

In previous study, wind power is the most feasible energy solution in the surface of Venus, but the volatility of wind power make it hard to explore the cute planet. While the traditional solution installs the generator on the exploration vechicle, we propose a solution which set distributed power generations with compressed air storage apparatus to handle the problem under the same weight limitation. To demonstrate our solution, we also establish a simulator as our project. As conclusion, the performance of our solution is no worse than the traditional one, but it has higher extensibility to create energy source.

Detailed Project Description

1.According to the data provided by SPACE Agency data(Automaton Rover for Extreme Environments ,AREE):

  • Exploration Task Consumption: Based on the daily movement of 500 meters and a complete data analysis, it needs to consume 500W-H of energy. In the original study, power generation equipment was installed on the rover.
  • Limitation: Due to the weight model limitation, the power generation unit can only be set up to 30kg. After conversion, it can only generate up to 144Wh of energy per day. Moreover, a single wind power generation system is prone to equipment damage and local weather effects, so that the power generation efficiency cannot reach the theoretical value.


2.Therefore our proposed project will use Distributed power generation units to store energy.

  • Previous Design: In the original study, springs were used as energy storage solutions. But in theory, the maximum efficiency of the spring will be only 0.75Wh/kg. Coupled with weight restrictions, only 44kg of springs will be carried at a time, so a single power station will only be able to provide 33Wh of energy a day, which will be less than installing a power generation device directly on the rover. In previous study, wind power is the most feasible energy solution. In theory, the maximum efficiency of the wind power will be 15Wh/kg. Taking a 13 kg compressed air storage tank as an example, it is possible to provide 195Wh of energy a day. This would be a better energy storage solution on Venus.
  • Our Solution: In our demo, will be designed according to the following 3 solutions. And the daily energy generation, energy storage and energy consumption will be digitized to simulate the consumption situation of 60 days. In the assumption of Distributed power generation facilities, although the construction of power generation facilities can be unlimited, due to the limitation of distance, our demonstration will be limited to 3 power generation facilities.


3.Techinal Review:

  • Energy Generator: We choose savonius wind turbine as previous study. According to reference, the average at the surface of venus is 3-10 m/s, it could provide 10-70% power of the wind power capacity.
  • Energy Storage System: In the exploration vechicle, we supposed the lithium-sulfur batter is ready for deploying. On the other hand, we choose the mechanical solution - spring and compressed air - on distributed power generator because it needs fewer electric device and suitable for the atomosphere of the venus. The compressed air is achieved by polymer ballon. For the negetive pressure ballon and high temperature-assist polymer material(PBI) have been invented, it’s possible to establish the light ballon storage system. By the way, the compressor could be achieved by mechanical way or ionic pump at the environment.


4.Simulation Settings:

  • Set an Exploration Task Consumption : -500Wh and +1% Explore
  • Taking into account the possibility of damage to the equipment, this demo designs the parameters of the possibility of damage to the equipment. It will be judged at the beginning of each day.


4.1Solution1:Traditional (Power generation equipment was installed on the rover)

(1)energy generation per day :

  • Theoretical value: 0.2(W/kg)*45(kg)*24(hr)= 216Wh/day
  • Considering local weather effects.
  • Set the expected value [0, 108, 216, 270] by 25% each

(2)energy storage per day :

  • Lithium-Sulfur battery 5kg: 1,100Wh

(3)energy consumption per day:

  • (a)Action1:Explore, As possible as cost energy for exploring and keep 20Wh
  • (b)Action2:Day end, Do nothing


4.2Solution2:Distributed power generation solution by spring

(1)energy generation per day :

  • Theoretical value: 0.75(W/kg)*13(kg)= 10Wh/day per power station
  • Considering local weather effects.
  • Set the expected value [0, 5, 10, 11] by 25% each power station

(2)energy storage per day :

  • Lithium-Sulfur battery 1kg: 220Wh

(3)energy consumption per day:

  • (a)Action1:Explore, As possible as cost energy for exploring and keep 20Wh
  • (b)Action2:Build Power Station, Cost 200 Wh to building one power station , up to 3 stations
  • (c )Action3:Day end, Do nothing and cost 5 Wh


4.3Solution3:Distributed power generation solution by compressed air

(1)energy generation per day :

  • Theoretical value: 15(W/kg)*13(kg)= 60Wh/day per power station
  • Considering local weather effects.
  • Set the expected value [0, 30, 60, 65] by 25% each power station

(2)energy storage per day :

  • Lithium-Sulfur battery 2kg: 440Wh

(3)energy consumption per day:as previous solution

Space Agency Data

  1. Automaton Rover for Extreme Environments (AREE)
  2. High Energy, Long Cycle Life, and Extreme Temperature Lithium-Sulfur Battery for Venus Missions

Hackathon Journey

How do you describe your Space Apps experience?

Challenging, exciting and collaborative, it was an honor to be part of such a meaningful event.

What did you learn?

How to turn an idea into a concrete outcome in a limited time.

What inspired your team to choose this challenge?

Everyone is interested in the exploration of Venus.

What was your approach to developing this project?

By analyzing NASA’s data and from diagrams, and knowledge of physics and chemistry, think of possible solutions. With information engineering technology, verified the possible of solutions.

How did your team resolve setbacks and challenges?

Discussions among team members, finding information and useful references from various sources, and verifying the possible of solutions by computer.

is there anyone you’d like to thank and why?

Sincere thanks to NASA and anyone who contributed to this activity.

References

References:

  1. PBI:https://polymerdatabase-com.translate.goog/Polymer%20Brands/PBI.html?_x_tr_sch=http&_x_tr_sl=en&_x_tr_tl=zh-TW&_x_tr_hl=zh-TW&_x_tr_pto=sc

Microsoft Tools:

  1. Github & Github Pages
  2. Visual Studio Code

Etc Tools:

  1. Python
  2. Jupyter notebook & IPython
  3. Vue.js
  4. Bootstrap 5
  5. Openmoji
  6. fonts.googleapis
  7. Vue Cli

Tags

#enery, #simulator