Local Energy Flexibility Exchange (LEFE)

Vision

LEFE coordinates a thin market in demand-side flexibility by matching small producers, EV fleets, batteries, and building managers with utilities and microgrid operators. The vision is a local balancing layer where thousands of small, verifiable actions—charge shifting, HVAC set-backs, load curtailment—add up to grid resilience and lower bills. For sponsors, LEFE is a pragmatic path to decarbonization that pays communities for flexibility while reducing peak infrastructure costs.

Problem

Utilities struggle to recruit and orchestrate small assets; programs are siloed, paperwork-heavy, and opaque. Building operators can’t easily evaluate which events to participate in or how payments accrue. Data lives in PDFs, vendor portals, and spreadsheets that don’t speak a common language. Without credible forecasting and settlement transparency, participation is thin and concentrated among a few sophisticated actors, leaving most potential flexibility untapped.

Solution

Cosolvent standardizes event offers, baselines, and settlement terms across asset types. LLM+RAG lets participants upload utility tariffs, interconnection letters, device manuals, BMS screenshots, and invoices, then ask simple questions like “what payment rate applies if we shift 50 kW for two hours on a critical peak day?” The system extracts the governing passages with citations, reducing confusion and legal risk. ClientSynth simulates seasonal events and synthetic fleets (EVs, rooftop PV, heat pumps) to preview likely earnings, optIout rates, and diversity of response—evidence sponsors can trust when funding local pilots.

Business Model

LEFE monetizes via clearing fees and subscription tiers for portfolio operators, while utilities fund pilot cohorts that prove avoided capacity value. Municipal climate offices can sponsor low income building enrollments. Over time, governed, privacy preserving performance data underpins flexible resource financing and insurer products, expanding the sponsor’s impact and economic rationale.