Open analysis of the energy transition.

Wattulus publishes engineering and economic analysis of energy technologies. Every report is open: sources, data, code, assumptions, and uncertainties are published with the report itself.

Capital allocation in energy is shaped as much by narrative as by physics. Stories about technologies spread faster than the underlying analysis can be checked, and reflexive flows of attention and money follow. The consequence is well-documented: substantial investment in technologies that could not have worked, drawing resources from technologies that could.

The corrective is not louder opinion. It is analysis the reader can verify. Wattulus is an attempt to do that work in public, with the workings shown.

Every report publishes its sources, data, code, assumptions, and uncertainties. Each report ships as its own public GitHub repository — you can clone it, change an input, and see what the answer becomes.

Reports are living documents. When new data lands or a reader catches an error, the report is revised, and every revision is preserved in the git history.

Anyone can comment on any report. Each report’s repository carries an open discussion thread on GitHub, preserved alongside the work. Push back, point out errors, suggest alternative analyses — that is the review process today.

Formal peer review by an expert panel is something we want to add once the readership supports it. We do not claim what we do not have.

Every dataset used in a Wattulus report is openly licensed. If your question needs proprietary data, get in touch — that work happens through paid consulting, not on this site.

Wattulus is the work of Karthi Arunachalam. She is a chemical engineer with a PhD from the University of Edinburgh (sorbent materials and reaction-diffusion systems for CO₂ sequestration), currently a Senior Research Scientist at SLB’s Nerve Center for New Energy in Cambridge, and the founder of ExerVolt, a long-duration energy storage company in the Carbon13 cohort.

Her work spans carbon capture, energy storage modelling (PyBAMM, PandaPower, PyPSA), techno-economic analysis using Bayesian and graph-neural-network methods, and process automation.

Comments and corrections belong in the open: each report carries a discussion thread on its own public GitHub repository — that is the place to challenge the analysis. For anything else, email karthi@wattulus.com.

Karthi is available for paid consulting and briefings on energy storage, carbon capture, and techno-economic analysis. Inquiries to karthi@wattulus.com.