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Soil-Powered Computing: The Engineer's Guide to Practical Soil Microbial Fuel Cell Design

Published: 12 January 2024 Publication History

Abstract

Human-caused climate degradation and the explosion of electronic waste have pushed the computing community to explore fundamental alternatives to the current battery-powered, over-provisioned ubiquitous computing devices that need constant replacement and recharging. Soil Microbial Fuel Cells (SMFCs) offer promise as a renewable energy source that is biocompatible and viable in difficult environments where traditional batteries and solar panels fall short. However, SMFC development is in its infancy, and challenges like robustness to environmental factors and low power output stymie efforts to implement real-world applications in terrestrial environments. This work details a 2-year iterative process that uncovers barriers to practical SMFC design for powering electronics, which we address through a mechanistic understanding of SMFC theory from the literature. We present nine months of deployment data gathered from four SMFC experiments exploring cell geometries, resulting in an improved SMFC that generates power across a wider soil moisture range. From these experiments, we extracted key lessons and a testing framework, assessed SMFC's field performance, contextualized improvements with emerging and existing computing systems, and demonstrated the improved SMFC powering a wireless sensor for soil moisture and touch sensing. We contribute our data, methodology, and designs to establish the foundation for a sustainable, soil-powered future.

Supplementary Material

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Supplemental movie, appendix, image and software files for, Soil-Powered Computing: The Engineer's Guide to Practical Soil Microbial Fuel Cell Design

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 7, Issue 4
December 2023
1613 pages
EISSN:2474-9567
DOI:10.1145/3640795
Issue’s Table of Contents
This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License.

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Published: 12 January 2024
Published in IMWUT Volume 7, Issue 4

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Author Tags

  1. Energy Harvesting
  2. Microbial Fuel Cells
  3. RF Backscatter

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  • (2024)Towards Deep Learning for Predicting Microbial Fuel Cell Energy OutputProceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3674829.3675358(330-338)Online publication date: 8-Jul-2024
  • (2024)Is it time to start moving soil microbial fuel cell research out of the lab and into the field?Science of The Total Environment10.1016/j.scitotenv.2024.175229949(175229)Online publication date: Nov-2024

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