Using AI Digital Twins to Scale Empirical Energy | Zach Oremland | Empirical Energy | EP 114

In this episode of the Empirical Energy Podcast, host Mark Smith sits down with Zach Orlin of Clean Connect.ai to explore how digital twins, AI, blockchain, and verification technologies are redefining how energy is measured, monitored, and managed. The conversation dives deep into Luminary, a digital twin platform that enables teams to virtually map energy sites, plan monitoring equipment placement, and integrate real-time data into operational models before anything is deployed in the field. Zach explains how Luminary connects with Promax process simulation models, remote monitoring systems, and verification frameworks to reduce costs, improve efficiency, and eliminate blind spots in energy operations. This episode also explores what’s next—from augmented reality overlays to smarter, more empirical energy markets where measurement, transparency, and real-time intelligence become the new standard. If you’re working in energy, infrastructure, emissions monitoring, or digital transformation, this episode offers a clear look at how legacy systems are being replaced by data-driven, verifiable solutions. ⏱ Episode Chapters 00:00 Introduction to Empirical Energy 00:44 Meet Zach Orlin (Clean Connect.ai) 02:23 Digital Twins & the Luminary Platform 05:05 Virtual Site Mapping & Monitoring Design 11:11 Advanced Capabilities & Future Applications 18:13 Empirical Energy’s Broader Impact & Wrap-Up 🎧 Subscribe for conversations on energy verification, AI, blockchain, and the future of global energy markets. #EmpiricalEnergy #DigitalTwins #EnergyTechnology #EnergyInnovation #AIinEnergy #BlockchainEnergy #EnergyMarkets #RealTimeMonitoring #EnergyManagement #CleanTech #IndustrialAI #EnergyTransition #OperationalIntelligence