Hardware, Apps, and Surveys at Scale: Insights from Measuring Grid Reliability in Accra, Ghana

This paper examines a large sensor network that measures power outages and quality at households and firms.

Abstract

The vision of sensor systems that collect critical and previously ungathered information about the world is often only realized when sensors, students, and subjects move outside the academic laboratory. However, deployments at even the smallest scales introduce complexities and risks that can be difficult for a research team to anticipate. Over the past year, our interdisciplinary team of engineers and economists has been designing, deploying, and operating a large sensor network in Accra, Ghana that measures power outages and quality at households and firms. This network consists of 457 custom sensors, over 3,000 mobile app instances, thousands of participant surveys, and custom user incentive and deployment management systems. In part, this deployment supports an evaluation of the impacts of investments in the grid on reliability and the subsequent effects of improvements in reliability on socioeconomic well-being. We report our experiences as we move from performing small pilot deployments to our current scale, attempting to identify the pain points at each stage of the deployment. Finally, we extract high-level observations and lessons learned from our deployment activities, which we wish we had originally known when forecasting budgets, human resources, and project timelines. These insights will be critical as we look toward scaling our deployment to the entire city of Accra and beyond, and we hope that they will encourage and support other researchers looking to measure highly granular information about our world’s critical systems.

This research is part of the Energy and Economic Growth Applied Research Programme

Citation

Noah Klugman, Joshua Adkins, Susanna Berkouwer, Kwame Abrokwah, Ivan Bobashev, Pat Pannuto, Matthew Podolsky, Aldo Suseno, Revati Thatte, Catherine Wolfram, Jay Taneja, and Prabal Dutta. 2019. Hardware, apps, and surveys at scale: insights from measuring grid reliability in Accra, Ghana. In Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS ‘19). Association for Computing Machinery, New York, NY, USA, 134–144. DOI:https://doi.org/10.1145/3314344.3332482

Hardware, Apps, and Surveys at Scale: Insights from Measuring Grid Reliability in Accra, Ghana

Published 1 July 2019