What question did this study set out to answer?

The aim is to optimize infrastructure and power grid systems using the Information-Theoretic Unification (ITU) framework.

May 18, 2026Open Access

ITU and Infrastructure / Power Grid: A Single-Axiom View of K-Capital, Smart Grid, Resilience, and the 2026-2050 Infrastructure Roadmap

Puntos clave

The aim is to optimize infrastructure and power grid systems using the Information-Theoretic Unification (ITU) framework.
Utilized the ITU framework to reframe infrastructure dynamics.
Measured parameters such as power consumption, grid inertia, and investments across various regions.
Simulated resilience under potential attack scenarios using AI-based models.
Projected power consumption will increase from 11,800 TWh (1990) to 70,000 TWh (2050).
Grid inertia is expected to drop from 6.0s to 1.5s, prompting the need for grid-forming batteries.
AI predictive maintenance could achieve 99% accuracy by 2035, reducing costs by 50% and downtime by 94%.

Resumen

We apply the Information-Theoretic Unification (ITU) framework (Terada 2026, concept DOI 10. 5281/zenodo. 20109209; current version v2. 0. 0 at 10. 5281/zenodo. 20133709) to infrastructure and power grid systems. Infrastructure is reframed as Kᵢnfrastructure = Kcapital × Kₙetwork × Kₘaintenance — the K-skeleton (physical foundation) of civilization. This is Tier 1 paper #15, opening the K-skeleton axis and bringing the ITU polytope to 15 vertices. The Infrastructure vertex connects to 7 other vertices (degree 7). Pass-1 progress: 102 of 220 phases (46. 4% — past mid-point of Pass-1). Phase 99: ITU foundation. Global infrastructure capital stock = 340 trillion (3. 2x world GDP), annual renewal 10T (3% of stock). Power consumption 1990 11, 800 to 2050 70, 000 TWh (5. 9x). Grid inertia H = 6. 0s (1990) to 1. 5s (2050 NZE) — below the 2. 5s safety threshold, requiring grid-forming batteries. USA ASCE 2021 grade D+ (avg score 1. 49), 10-year need 3. 1T (1T roads alone). Kcapital dynamics: 1. 5% USA investment → 29% decline over 50 years vs 2. 5% sustainable. Phase 100 (MILESTONE): Smart grid + AI + resilience. Smart meters: 2B (2024, 20%) to 10B (2050, 95%). DERMS (rooftop solar + V2G + home batteries + heat pumps + smart buildings): 480 GW (2024) to 8, 500 GW (2050) — exceeding central generation 7, 000 GW (1. 21x ratio). AI predictive maintenance: accuracy 90% (2024 advanced) to 99% (2035 AGI), cost reduction 50%, downtime reduction 94%. Resilience simulation under 30-day attack: AI-resilient grid R = 1. 10 (attacks become learning opportunities) vs old grid R = 0. 66. Phase 101: Industry, policy, international comparison. China leads with 1. 5T/yr investment (8% GDP, 2. 5x USA) via Xinjianjie 1. 4T (5yr). USA IIJA 1. 2T over 10yr + IRA 369B. EU NextGenEU EUR 750B + RePowerEU EUR 300B. Japan Kokudo Kyojinka (5yr) 100B focuses on aging + disaster. India NIP 1. 3T. PPP global market: 20B (2000) to 200B (2024) to 600B (2050), 1, 200 projects. Climate adaptation per IPCC AR6: 4. 5T cumulative by 2050. Phase 102: 2026-2050 roadmap with 19 milestones and 10 falsifiable predictions (Pₐvg = 0. 55). Key milestones: 2026 China Xinjianjie Phase 2, 2030 smart meters 40% global, 2032 MOSE expansion + Tokyo basin complete, 2035 V2G commercial, 2040 DERMS 5, 000 GW, 2045 AGI infrastructure management, 2050 DERMS 8, 500 GW (exceeds central) + climate adaptation 4. 5T cumulative. Central thesis: infrastructure = K-skeleton (physical foundation) on which all other K-flows operate. dKcap/dt = Kᵢnvest - Kdecay is the governing equation, with most countries underfunding leading to intergenerational debt. AI (Tier 1 #2) + Robotics (#13) + Communications (#14) enable smart, self-healing, predictive infrastructure. The ITU 15-vertex polytope completes with K-skeleton axis. Infrastructure bidirectionally connects to AI/ASI (#2), Semi (#4), Economics (#8), Energy (#10), Climate (#11), Robotics (#13), Communications (#14). Communications (#14) and Climate (#11) remain tied as super-hubs at degree 10. Honest framing: Pass-1 interpretive paper reframing ASCE Report Card 2021, IEEE Power & Energy Society, IIJA/IRA/NextGenEU/Xinjianjie/Kokudo Kyojinka, IPCC AR6, McKinsey, World Bank, IEA, Singapore Virtual Singapore, NVIDIA Omniverse in ITU language. Numerical results match established literature. Includes 4 theory documents, 4 Python numerical experiments, 4 figures (PNG), 4 JSON summaries. Total runtime ~15 seconds.

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