Regulatory Grade Constraint Accounting for Concurrent Renewable Infrastructure Deployment and Operation
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Abstract
Renewable energy portfolios are increasingly deployed as dense, heterogeneous infrastructures whose operational and societal constraints cannot be managed effectively through project-by-project approvals and periodic compliance reporting alone. As penetration rises, governance must accommodate time-varying grid limits, land-use and biodiversity constraints, community disturbance thresholds, and climate-driven hazards that alter both risks and acceptable operating envelopes. This paper proposes a constraint-budget ledger (CBL) as a regulatory-grade technical substrate that represents diverse obligations as consumable budgets and binds their use to verifiable lifecycle events. The core contribution is a portfolio-scale accounting architecture that treats constraints as scarce resources allocated across assets, time, and jurisdictions, enabling consistent decision-making under concurrency, delegation, and policy revision. The CBL unifies planning-stage reservations, construction-stage conversions, and operations-stage consumption into a single auditable record that supports adaptive updates while preserving historical interpretability. The design specifies typed budget instruments for physical capacity, reliability services, ecological exposure, and community externalities; transaction semantics for reservation, release, and reallocation; and verification workflows that reconcile telemetry, monitoring data, and administrative actions without forcing indiscriminate disclosure. The approach is intended to reduce administrative latency and dispute frequency by making trade-offs explicit, quantifying cumulative impacts continuously, and providing bounded transparency to stakeholders. The paper details the ledger object model, the policy compilation workflow, mechanisms to manage strategic behavior and intermediary involvement, and an evaluation methodology based on stress scenarios coupling policy change, climate hazards, and grid contingencies.