The Empirical Energy Podcast

Revolutionizing Data Centers with Solar and Waste | Carlos Fernandez-Aballi Altamirano| Empirical Energy Podcast | EP 124

Carlos from ETAJOULE joins host Mark Smith for a conversation on how the future of data centers may be smaller, smarter, and powered by waste. Instead of relying on massive centralized facilities and strained grid connections, Carlos shares how modular microgrid-powered “Olive” data center nodes can run on solar energy, batteries, and methane captured from agricultural waste like poultry farms.
The discussion explores how distributed infrastructure can create multiple revenue streams at once—energy production, data services, fertilizer, carbon credits, and even waste heat reuse for agriculture. Carlos also breaks down why edge computing demand is accelerating, how combined-cycle systems improve efficiency, and why this model could be a practical answer to both energy transition and AI infrastructure growth.
From refrigeration optimization with AI to renewable-powered data center ecosystems, this episode looks at a new blueprint for sustainable digital infrastructure.
⏱️ Timestamps00:00 Podcast Cold Open00:45 Meet Mark and Carlos01:12 ETAJOULE Origin Story02:57 Why Modular Data Centers04:19 Solar Plus Biowaste Power08:36 Circular Plant Schematic10:08 Solar Heat Innovation13:22 Scaling the Olive Nodes14:22 Project Status and Roadmap15:54 How to Get Involved17:00 Do Credits Matter18:23 Wrap Up and Outro
About Carlos Fernandez-Aballi Altamirano:
Carlos has more than 15 years of experience designing and directing solar energy and sustainability solutions across industry, academia, and entrepreneurship. His expertise spans artificial intelligence process optimization, renewable energy integration, industrial energy efficiency, solar thermal systems, sustainability, and thermodynamic cycles.
He holds a Doctorate in Engineering with a specialization in Thermodynamics from the Technological University of Habana José Antonio Echeverría (UTH), with studies at Ghent University in Belgium, where he defended the basic thermodynamic principles of the Thermal Lag Engine. He also earned both his Master’s and Bachelor’s degrees in Engineering Design from University of Bristol, focusing on absorption refrigeration systems and solar-powered thermal technologies.
Over the last five years in the U.S. solar industry, Carlos has designed and directed commercial-scale solar thermal projects across St. Croix, Dominica, and Hawaii, serving multifamily housing, luxury hotels, and military facilities. His work also includes solar thermal system recovery projects in Puerto Rico, Aruba, and Florida.
Don’t forget to:👍 Like this video🔔 Subscribe for more conversations on verified energy and sustainable infrastructure💬 Comment with your biggest takeaway from this episode🔗 Share this with someone working in AI, energy, or data center innovation
#DataCenters #SolarEnergy #Microgrids #RenewableEnergy #ArtificialIntelligence #Sustainability #EdgeComputing #CarbonCredits #EnergyTransition #EmpiricalEnergyPodcast

From Mars Missions to Manhattan’s Boilers: Natan Shahar’s Energy Odyssey | The Empirical Energy Podcast | Natan Shahar | Empirical Energy Podcast | EP 123

From Mars Missions to Manhattan’s Boilers: Natan Shahar’s Energy Odyssey
Some of the most practical energy solutions don’t come from inside the industry—they come from rethinking the problem entirely.
In this conversation, Natan Shahar shares how a challenge facing New York City buildings led him down an unexpected path—from energy audits and Local Law 97 compliance… to inspiration from Mars missions.
As the founder of Standard Carbon, Natan is developing what he calls “electric natural gas”—a closed-loop system that captures CO₂, combines it with hydrogen, and produces synthetic methane that can be reused within existing gas infrastructure.
Instead of forcing costly and disruptive electrification, this approach allows buildings and industrial operators to reduce emissions while continuing to use the systems they already have.
The result? A fundamentally different path to decarbonization—one that works with reality, not against it.
⏱️ Timestamps
00:00 Silent Revolution Intro00:45 Meet Mark and Natan01:21 NYC Buildings and LL9705:04 Mars Book to Methane07:10 Cheap Power Hydrogen Idea08:26 Building the Carbon Bridge10:00 Pilots and Use Cases11:00 Synthetic vs RNG12:36 Avoiding LL97 Penalties14:29 Approvals and Coalition17:37 Where Projects Scale22:59 Energy Security and Storage25:37 Ideal Markets and Economics31:08 Carbon Intensity Explained33:45 Contact and Wrap Up34:29 Podcast Outro Call to Action
🔍 About the Guest
Natan Shahar is the founder of Standard Carbon. He began his career as a mechanical engineer in New York City, supporting the energy needs of over 2,000 buildings.
When Local Law 97 introduced aggressive emissions caps and significant carbon penalties, many building owners were left with limited and often impractical options. Rather than forcing existing solutions, Natan took a first-principles approach to the problem.
Inspired by concepts from space exploration—specifically methane production using CO₂—he developed a system that converts captured carbon into reusable synthetic fuel. Today, Standard Carbon is deploying pilot systems in the U.S. and internationally, working to scale a new category of clean, infrastructure-compatible energy solutions.
🔑 Topics Covered
#EnergyTransition #Decarbonization #CarbonCapture #SyntheticFuel #Hydrogen #ClimateTech #EnergyInfrastructure #LNG #CarbonMarkets
📣 Call to Action
If this conversation made you rethink how decarbonization actually works:👍 Like this video🔔 Subscribe for more real conversations in energy💬 Comment your biggest takeaway🔗 Share this with someone in energy, infrastructure, or climate tech

Archer Aviation: Revolutionizing Air Travel with Billy Nolen | The Empirical Energy Podcast | Billy Nolen | Empirical Energy Podcast | EP 122

What if getting across a city took minutes instead of hours?
This conversation with Billy Nolen explores how advanced air mobility is moving from concept to reality—faster than most people think. From his decades in aviation leadership to shaping policy at the Federal Aviation Administration, Billy brings a rare, inside-out perspective on what it actually takes to bring eVTOL aircraft into everyday use.
At the center of it all: Archer Aviation’s Midnight aircraft—and a vision that could redefine how we move through cities by the time the 2028 Los Angeles Olympics arrive.
This isn’t future talk. It’s already happening.
🎯 What You’ll Learn:
• How eVTOL aircraft are designed and why they’re different• The real bottlenecks: certification, infrastructure, and regulation• Why the LA 2028 Olympics could be a turning point for air mobility• How charging networks and vertiports will shape adoption• The global race (including China) to dominate next-gen aviation• Where defense, commercial, and emerging markets intersect
⏱️ Timestamps:
00:00 Silent Revolution Intro00:45 Meet Billy Nolen00:55 Aviation Career Journey02:20 Leading the FAA03:42 Innovate 2028 Vision05:56 Why Archer Won Him Over07:18 Midnight Aircraft Exterior09:55 Cabin Design and Partners12:02 Olympics Use Case in LA16:06 Charging and Daily Ops17:29 Defense and Global Markets19:58 Infrastructure and Standards21:10 US Policy Tailwinds23:35 Race With China and Safety26:35 Wrap Up and Outro
👤 About Billy Nolen:
Billy Nolen is Chief Safety Officer at Archer Aviation and a veteran aviation leader with over four decades of experience.
He began his career as a U.S. Army pilot before spending more than 26 years at American Airlines in operational and safety leadership roles. He later held executive positions at Airlines for America, Qantas, and WestJet.
In 2022, he was appointed Acting Administrator of the Federal Aviation Administration, where he helped guide U.S. aviation through a critical period of innovation, including early frameworks for drones and advanced air mobility.
Today, he’s helping bring eVTOL technology to market—bridging regulation, safety, and real-world deployment.
🚀 About The Empirical Energy Podcast:
The Empirical Energy Podcast explores the shift toward measurable, verified, and transparent energy systems. Through conversations with operators, innovators, and industry leaders, we break down how technology, data, and infrastructure are reshaping global markets.
🔔 Don’t miss what’s next:
👍 Like this video🔔 Subscribe for more real-world conversations shaping the future💬 Drop your biggest takeaway in the comments🔗 Share this with someone thinking about the future of mobility
#EmpiricalEnergy #ArcherAviation #eVTOL #AdvancedAirMobility #FutureOfTransport #EnergyInnovation #Aviation #CleanTech #UrbanMobility

Hydrogen, AI, and the Future of Energy Operations | Mark Oldenburg | Empirical Energy Podcast | EP 121

What actually happens after leading operations at one of the world’s largest automotive companies?
For Mark Oldenburg, it didn’t mean slowing down—it meant stepping into a new role advising companies on operational performance, AI adoption, and the realities behind emerging energy technologies.
This conversation moves past the hype and into what’s actually working today—from AI improving productivity (when paired with strong data and human oversight) to the real constraints holding hydrogen back—especially in high-demand environments like data centers.
There’s also a deeper look into how operational leaders think about decision-making, consulting value, and why experience still matters in a world chasing speed and automation.
👤 About the Guest
Mark A. Oldenburg is the Director of Fleet Operations at Toyota Motor Sales USA, where he led large-scale operational strategy and distribution systems. With a background in law and experience in regulatory frameworks and litigation, he brings a unique perspective that blends legal discipline with operational execution.
Following his time at Toyota, Mark transitioned into consulting and advisory roles, helping organizations improve operational performance, navigate emerging technologies like AI, and evaluate complex energy solutions including hydrogen systems.
⚡ What We Cover
• The reality of consulting after corporate leadership• Why experience-based advisors outperform “surface-level” consultants• How AI is actually improving operations (and where it still fails)• The importance of data quality in reducing AI hallucinations• Hydrogen fundamentals—and why adoption is slower than expected• Why hydrogen fuel cells aren’t ready for AI data centers• The economics behind hydrogen’s future• Inside Clean Connect’s AI-powered “control room” for remote operations• Real-world automation wins in safety, monitoring, and efficiency
⏱️ Timestamps
00:00 Podcast Mission Intro00:45 Life After Toyota01:55 Consulting Value Proposition04:11 Vibe Coding Comeback05:46 AI Speed And Legacy Rules08:59 Data Quality And Hallucinations10:46 Client Questions And NDAs11:23 Hydrogen Basics Explained14:33 45V Credits Sidebar15:32 Hydrogen For Data Centers16:57 Why Hydrogen Adoption Slows19:34 Future Of Hydrogen Economics21:07 Data Centers Power Race22:47 What Consulting Really Covers24:26 AI Hype vs Reality28:42 Real Automation Wins31:12 Wrapping Up and Next Steps32:40 New Use Cases and Outro
🎙️ About The Podcast
The Empirical Energy Podcast explores the shift toward measured, verified energy and blockchain-enabled trading. Conversations focus on real-world operations, emerging technologies, and the leaders building the future of energy systems.
 
📣 Join the Conversation
If you’re working at the intersection of energy, operations, and emerging tech—this one’s for you.
👍 Like this video🔔 Subscribe for more real conversations with energy leaders💬 Comment your biggest takeaway🔗 Share with someone building in energy or AI
#EnergyTransition #Hydrogen #ArtificialIntelligence #DataCenters #OperationsLeadership #CleanTech #EnergyInnovation #BlockchainEnergy #IndustrialAI #DigitalTransformation

Inside Europe’s Changing Energy Landscape | Ehsan Daneshvar | Empirical Energy Podcast | EP 120

Europe’s energy transition isn’t unfolding the way anyone expected.
What started as a climate-driven shift has collided with geopolitical reality—forcing governments to rethink timelines, redefine “clean energy,” and rapidly secure supply in a volatile global market.
In this conversation, Mark Smith sits down with Ehsan Daneshvar, Operations Director at Future Geoscience, to unpack how energy security, LNG expansion, and verification technologies are reshaping the future of global energy.
With over 17 years of experience across oil & gas, mining, offshore services, and academia, Ehsan brings a rare combination of technical depth and global perspective—covering everything from reservoir characterization to CCUS, hydrogen storage, and mineralogy-driven analysis across major basins worldwide.
They explore how the Russia-Ukraine conflict triggered a major reset in Europe’s energy strategy, why LNG has become central to energy security, and how verification frameworks like methane intensity measurement are becoming critical in modern energy trading.
The conversation also dives into rising AI-driven energy demand, geopolitical risks like the Strait of Hormuz, and the growing tension between decarbonization goals and real-world energy needs.
⏱️ Timestamps
00:00 Silent Revolution Intro00:45 Meet Mark and Ehsan01:43 From Oil to COP2603:45 Ukraine War Shockwave05:17 Europe Policy Reversals08:48 LNG Pivot and Suppliers10:28 Methane Verification (OGMP)12:04 Iran Tensions & Oil Prices17:43 Gas, Fertilizer & Food Security21:15 AI Data Centers & Energy Demand25:13 Can the Energy Transition Still Happen?26:29 Ehsan’s Work & Global Projects29:34 Subscribe & Closing
🔍 About the Guest
Ehsan Daneshvar is the Operations Director at Future Geoscience with over 17 years of experience in petroleum consulting, offshore services, and academia.
He holds a Ph.D. in clay mineralogy and sedimentary provenance studies from the University of Liverpool and a master’s degree in hydrogeology. His expertise spans sedimentology, mineralogy, reservoir characterization, and integrated stratigraphy across major global basins including the North Sea, Gulf of Mexico, Middle East, and Africa.
Ehsan has led multidisciplinary projects and worked across roles including General Manager, Business Development Director, Senior Mineralogist, and Project Geoscientist—bringing both technical and commercial insight into modern energy systems.
His current work focuses on reservoir depletion, CCUS injection, hydrogen storage, and improving efficiency to reduce emissions across conventional and unconventional resources.
⚡ About The Empirical Energy Podcast
The Empirical Energy Podcast explores the revolution in verified energy trading—where data, measurement, and transparency are reshaping global markets.
From LNG and carbon markets to blockchain-powered verification and AI-driven energy systems, the show features leaders building the next generation of energy infrastructure.
 
💬 Join the Conversation
What’s the biggest challenge facing the energy transition today—policy, technology, or geopolitics?
Drop your thoughts in the comments 👇
🔔 Don’t Forget To
👍 Like this video🔔 Subscribe for more real conversations with energy leaders💬 Comment your biggest takeaway🔗 Share this with someone in the energy space
 
#EnergyTransition #LNG #EnergySecurity #OilAndGas #Geopolitics #CarbonMarkets #CCUS #Hydrogen #EnergyMarkets #AI #FutureOfEnergy

The Hybrid Future of Energy: Integration and Innovation | Philip Richard | Empirical Energy | EP 119

Oil and gas operators don’t have a data problem.They have a systems problem.
Autonomous methane monitoring is advancing fast. AI-powered quantification is here. Real-time dashboards are live. But most field operations still rely on manual OGI inspections, spreadsheets, and disconnected workflows.
That gap? That’s where value is leaking.
Philip Richard of Energy Overwatch joins Mark Smith to unpack the future of hybrid energy operations — where autonomous monitoring and boots-on-the-ground LDAR workflows finally integrate into one seamless system.
From OGI inspections to repair verification to regulatory reporting, this conversation dives into what happens when measurement, workflow, and compliance stop living in silos.
This isn’t about replacing field teams.It’s about empowering them with better data.
⏱ Key Timestamps
00:00 – The silent revolution in verified energy markets02:10 – What Energy Overwatch actually solves in LDAR06:45 – Why spreadsheets are failing operators10:30 – Live demo: OGI workflow from inspection to repair17:50 – Mobile-first design for field professionals22:15 – One-click compliance reporting explained26:40 – The hybrid model: autonomous + manual integration32:10 – AI leak quantification from manual OGI footage36:00 – Workflow automation between platforms41:20 – Why good data drives better operational decisions45:00 – The future of integrated methane management
Energy operations are becoming measurable, verifiable, and tradable.
If you're building modern LDAR programs, deploying MMRV systems, or thinking about verified energy markets, this episode connects the dots between monitoring, workflow, and compliance.
👉 Subscribe for more conversations shaping blockchain-enabled energy markets👍 Like and share if hybrid operations are on your roadmap💬 Drop a comment: Are you still managing LDAR in spreadsheets?
#EnergyTransition #LDAR #MethaneMonitoring #MMRV #OilAndGas #EnergyTech #OperationalExcellence #BlockchainEnergy

From Volume to Value: Optimizing Daily Cashflow in the Modern Oilfield (Webinar) | Casey Patterson | Empirical Energy | Ep 118

From Volume to Value: Optimizing Daily Cashflow in the Modern Oilfield
In this webinar episode of The Empirical Energy Podcast, host Mark Smith is joined by Casey Patterson, Co-Founder of Avenirre, for a deep dive into how upstream oil & gas operators are shifting from volume-based decision-making to daily, well-level cash flow optimization.
As market pressure increases and margins tighten, traditional volumetric metrics are no longer enough. This conversation explores how forward-looking economics, real-time data, and financial visibility at the well level are changing how modern operators manage production, expenses, and profitability.
🔍 What You’ll Learn in This Episode:
• Why barrels alone don’t equal profitability• How daily cash flow reporting outperforms lagging, month-end data• The hidden risks of the unit fallacy and uneconomic wells• How operators uncover recurring cash flow leaks• The role of real-time pricing, forecasting, LOE visibility, and reserves• Why forward-looking analytics beat rear-view reporting• How Avenirre’s platform is implemented—and why customers see impact fast
This episode is especially valuable for:✔️ Upstream operators✔️ Production & reservoir engineers✔️ Energy finance and asset management teams✔️ Digital oilfield and energy technology leaders
⏱️ Episode Chapters:
00:00 Introduction to The Empirical Energy Podcast00:50 The Shift in Energy Metrics02:27 Optimizing Cash Flow in Energy Companies04:16 Daily Economic Reporting & Automation07:27 Case Studies & Real-World Applications12:16 Implementation & Customer Success17:00 Live Q&A with Mark Smith & Casey Patterson22:26 Challenges in Adopting Avenirre23:22 Data Migration Process23:49 Morning Reports & Multidisciplinary Use25:57 Unique Platform Features26:51 Customer Support & Success Model27:33 Integration & Cost Efficiency30:13 Real-Time Data & Dashboard Fatigue36:57 Cash Flow Management & Reserve Reports40:57 Conclusion & Next Steps
🎧 Subscribe to The Empirical Energy Podcast for more conversations on verified energy, digital oilfield innovation, and real-world solutions shaping the future of oil & gas.👍 If this episode helped you, like, comment, and share it with your team.
 

Empirical Energy Podcast Cashflow Webinar Jan 2026

Operators often see groups of wells (field/unit/route) as profitable while subsets quietly lose money—masked by aggregated views, declining production, flat pricing, rising LOE, and forward financials limited to twice a year.
Manual allocation of production & expenses takes weeks or months, so detailed analysis gets delayed or skipped.
What if you could automate it and get true well-level daily cashflow visibility—instant forecasts, targets, and alerts?
This educational live webinar where Casey Patterson (Founder & CEO of Avenirre, formerly XTO Energy) explores the challenge and demonstrates a practical approach built by former XTO and EOG upstream professionals.
You'll discover:
Why aggregated economics hide underperforming wells and recurring losses
How automation delivers well-level forward cashflow forecasts and alerts—without weeks of manual work
Key signals: negative cashflow wells, volume shortfalls, LOE variances/overages, underpayments
Real-world case studies (shown live by Casey, naming operators) with clear outcomes from addressing these issues
Benefits of consolidated data, forecasting, and visibility for proactive decisions

The Empirical Truth: Transforming Energy with AI and Data | David Conley | Empirical Energy | EP 117

Innovating the Future of Energy with Empirical AI
How Measured, Verified Data Is Reshaping Global Energy Markets
In this episode of The Empirical Energy Podcast, host Mark Smith is joined by David Conley, Co-Founder of CleanConnect.ai, for a deep dive into how empirical AI is transforming the energy industry from the ground up.
They explore how Clean Connect’s platform combines direct measurement, first-principles engineering, AI, and blockchain to replace emission factors with verifiable truth—creating a flexible, auditable system for modern energy production, sustainability reporting, and trading.
This conversation goes beyond theory, featuring real-world case studies from some of the world’s largest energy producers. Mark and David unpack how empirical data is driving measurable ROI across operations, emissions management, safety, and production optimization, while unlocking new premium markets for verified energy.
You’ll also hear how multi-certification frameworks like Prove Zero, blockchain-based Energy Attribute Certificates (EACs), and partnerships with global energy traders such as Gunvor are enabling new energy products tailored for hyperscalers, AI data centers, and global buyers.
From methane mitigation and remote operations to AI-driven orchestration layers and direct combustion measurement, this episode reveals why measured and verified energy is no longer optional—it’s becoming the gold standard.
🎧 Whether you’re an energy producer, trader, operator, or technology leader, this episode offers a clear look at where the industry is heading—and how to prepare for what’s next.
⏱️ Episode Chapters
00:00 – Blockchain trading and the origins of empirical verification00:03 – Why Clean Connect became a source of truth in noisy data environments00:12 – Moving from emission factors to first-principles measurement00:30 – Crew Zero and direct measurement at the source00:37 – Project Vulcan and real-time combustion measurement01:02 – Why energy and AI are now inseparable01:45 – Welcome to The Empirical Energy Podcast02:03 – Global market trends shaping the future of energy02:45 – Introducing Empirical.ai: the AI operating system for energy03:30 – Real client case studies and measurable ROI03:45 – The evolution of Clean Connect beyond methane mitigation04:56 – Operations, sustainability, and market-driven outcomes08:12 – Restoring trust through empirical data09:18 – Integrating operations, sustainability, and trading10:26 – Highlights from the Empirical Energy Conference11:03 – Client feedback and new product innovation12:09 – Remote operations, safety, and workforce augmentation14:00 – The Integrated Operations Center explained19:22 – Solving the data integration problem at scale20:47 – Prove Zero and multi-certification flexibility25:06 – Overcoming data complexity with first principles29:08 – Partnerships, hyperscalers, and new energy markets32:13 – Blockchain-enabled trading and Energy Attribute Certificates33:10 – The future of empirical energy35:01 – Final thoughts and call to action
🎧 Listen & Subscribe

Updates in Visual AI Gas Detection | Jae Yoon Chung | Empirical Energy | EP 116

🎙️ Revolutionizing Gas Leak Detection with Visual AI & Machine LearningIn this episode of The Empirical Energy Podcast, host Mark Smith sits down with Jae Yoon Chung, Machine Learning Engineer at Clean Connect, to explore how visual AI is transforming gas leak detection in the energy industry.Jae breaks down the real-world challenges of detecting methane and gas leaks using vision-based models — especially in harsh outdoor environments with wind, rain, snow, and limited edge-device compute. He introduces a breakthrough approach called channel stacking, a method that captures gas movement using just three consecutive frames to dramatically improve detection accuracy while reducing computational load and false alarms.The conversation goes beyond theory, offering a behind-the-scenes look at how AI models are trained, optimized, and deployed at the edge — and where the technology is headed next. From edge computing to large language models (LLMs) and object-level incident classification, this episode highlights how AI, blockchain, and verification are reshaping the future of global energy markets.⚡ If you work in energy, AI, emissions monitoring, or industrial technology, this episode is a must-listen.⏱️ Episode Chapters00:00 – Introduction to The Empirical Energy Podcast 00:57 – Meet the Guest: Jae Yoon Chung from Clean Connect 01:39 – Machine Learning Challenges in Energy Environments 03:44 – Innovations in Visual Gas Leak Detection 07:29 – Technical Deep Dive: Channel Stacking Explained 14:23 – The Future of Visual AI & LLM Integration 18:53 – Final Thoughts & Call to Action🎧 Listen & Watch▶️ YouTube: https://youtu.be/WOejlQSdr_g🎙 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-empirical-energy-podcast/id1822839881💬 If this episode sparked new ideas or questions, join the conversation. 👉 Subscribe, rate the show, and share this episode with someone working in energy, AI, or climate tech. 👉 Drop a comment and tell us: Where do you see the biggest opportunity for AI in energy today?#EmpiricalEnergyPodcast #VisualAI #MethaneDetection #MachineLearning #EdgeAI #EnergyTech #ClimateTech #IndustrialAI #ComputerVision