Bayes Consulting advised the Rockefeller Foundation on leveraging High Throughput Computing (HTC), particularly cryptocurrency mining to address inefficiencies in Distributed Renewable Energy (DRE) systems. At the Luviro Hydroelectric Power Plant (14MW) in the Democratic Republic of Congo, low energy demand (800kW offtake) resulted in high Levelized Cost of Electricity (LCOE) and frequent outages. By increasing energy demand through a 7MW cryptocurrency mining farm, the project optimized energy utilization, reducing LCOE and making electricity more affordable to the local communities. Mining revenues offset operational costs, allowing for tariff subsidies and expanded access to the underserved.

Additionally, we recommended using waste heat from cryptocurrency mining for agricultural value chains. This supported the drying of crops like cocoa and vanilla, reducing post-harvest losses, enhancing product quality, and boosting farmer incomes by 20%.

Bayes Consulting advised the Global Energy Alliance for People and Planet (GEAPP) on strategies to improve rural connectivity through Distributed Renewable Energy (DRE) systems. This workstream focused on addressing the challenges of low internet penetration and its impact on socio-economic development in underserved regions. Limited energy infrastructure in rural areas often constrained the deployment of mobile broadband, widening the digital divide.

By using renewable energy to power connectivity solutions, we established that there could be a reduction in operational costs for internet service providers. Increased internet usage boosted demand for electricity from the DRE systems, lowering the Levelized Cost of Electricity (LCOE) and enhancing financial viability of the target systems. This approach incentivized further investments in renewable energy and digital infrastructure.

Our recommendations highlighted the synergistic benefits of combining renewable energy with internet connectivity to empower communities, improve access to services, and drive local economic growth.

Bayes Consulting supported the Global Energy Alliance for People and Planet (GEAPP) in implementing Internet of Things (IoT)-driven Digital Monitoring, Reporting, and Verification (dMRV) systems to enhance carbon project efficiency and scalability. Conventional MRV processes, reliant on manual reporting and on-site verification, often incurred high costs and prolonged credit issuance timelines. By integrating IoT technology, these challenges were significantly mitigated.

At a pilot project in Ethiopia, IoT-enabled smart meters and sensors were deployed to automate data collection on electricity generation, usage, and emission reductions. These devices provided real-time, precise data streams to centralized platforms, eliminating the need for frequent on-site visits and reducing operational costs. By ensuring accuracy and transparency, the system facilitated faster carbon credit issuance, critical for attracting climate finance.