Beyond Coal vs. Renewables —Part 1: Why Energy Policy Needs Quantitative Analysis

The Hourly Matching Promotion Council is currently in Bangkok, where we are discussing the future of hourly matching with stakeholders inThailand.

One topic repeatedly emerges in both Thailand and Japan.

Should countries accelerate renewable energy deployment, or should they preservethermal generation to strengthen energy security?

The problem is that this debate starts from the wrong premise.

Energy systems are not built through ideology.

They are built through optimization.

Renewables undoubtedly play a critical role in reducing fuel imports and carbon emissions. At the same time, neither Thailand nor Japan can currently rely on renewables alone during every hour of every day without significant investments in storage, transmission, flexible demand, and backup capacity.

Conversely, maintaining fossil fuel dependence indefinitely would expose both countries to fuel price volatility, geopolitical risks, and long-term decarbonization challenges.

The real question is therefore not:

"Coal or renewables?"

The real question is:

"What combination of resources minimizes emissions, minimizes costs, and maximizes reliability?"

To answer that question, policymakers need a framework capable of evaluating three variables simultaneously:

• Carbon emissions
• System costs
• Energy security

These variables often move in different directions.

Lower emissions may increase costs.

Higher security may require additional capacity.

Lower costs may increase fuel dependency.

The challenge is to optimize all three simultaneously rather than maximizing only one.

This is fundamentally a quantitative problem.

The future of energy planning should be driven less by political narratives and more by transparent models that evaluate trade-offs across multiple objectives.

The debate should not be about choosing technologies.

It should be about choosing outcome.