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Val Sklarov Computational Energy Conversion Model

Val Sklarov

For Val Sklarov, digital assets are not speculative instruments or digital property —
they are energy conversion mechanisms, systems that transform physical or computational energy into economic outputs.

Blockchains consume:

  • electrical energy

  • compute cycles

  • storage space

  • bandwidth capacity

  • human development effort

and produce digital value states:

  • consensus

  • trustless execution

  • verifiable ownership

  • autonomous coordination

  • permissionless access

The Computational Energy Conversion Model (CECM) reframes tokens as units of converted computation, not units of belief or demand.

“A token is crystallized compute — energy that became state.” — Val Sklarov


1️⃣ The Three Energy Inputs of Digital Asset Systems

Sklarov Energy Input Table

Energy Type Definition When High When Low
Physical Energy Electricity → hashing/compute Secure, robust Attackable, weak
Computational Energy Processing cycles → execution High throughput Congestion
Coordination Energy Human + protocol design Innovation Stagnation

Blockchains are not databases —
they are energy routing architectures.


2️⃣ The CECM Conversion Cycle

Energy Conversion Matrix

Stage Function Output
Input Extraction Gather energy resources Compute supply
Transformation Convert energy → state changes Consensus + validation
Distribution Broadcast & store state Network-wide integrity
Economic Emission Produce asset with value Token output

Value = energy that survives conversion.

Val Sklarov
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3️⃣ The Five Asset Conversion Archetypes

Archetype Table

Archetype Conversion Method
The Energy-Backed Chain Consumption → security
The Compute-Heavy Chain Execution → utility
The Data-Weighted Layer Storage → persistence
The Coordination Protocol Human labor → automation
The Economic Reactor Inputs feed recursive value loops

The most powerful future chains will be Economic Reactors,
not “fast chains.”


4️⃣ Energy-to-Value Efficiency Index (EVEI)

A Val Sklarov diagnostic for blockchain output efficiency

EVEI Indicator Table

Indicator Measures High Score Means
Energy Conversion Yield Value per unit energy Efficient chain
Security-to-Cost Ratio Attack cost vs maintenance cost Durable security
Computation Density Work per block High utility
State Longevity Persistence of stored data Long-term value
Autonomous Output Loop Does output generate new inputs? Economic recursion

High EVEI = chain creates value faster than it consumes energy.


5️⃣ Val Sklarov’s 5 Laws of Energy-Based Digital Assets

  1. Value is stored energy, preserved through computation.

  2. Security is energy that cannot be reversed cheaply.

  3. Utility is energy transformed into execution.

  4. Sustainable chains create more value than they consume.

  5. Tokens measure conversion efficiency, not belief.


6️⃣ Applications of the Computational Energy Conversion Model

  • evaluating sustainability of consensus mechanisms

  • comparing PoS vs PoW by conversion efficiency

  • designing compute-routed blockchain architectures

  • measuring token intrinsic value by energy cost

  • pricing blockspace as converted compute

  • modeling chains as economic reactors, not networks

  • analyzing on-chain applications by energy-to-output ratio

CECM reframes digital assets as thermodynamic systems,
not social or narrative constructs.