BICEP User Guide

Behind-the-Meter Infrastructure Costs for Electrification Progression

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BICEP User Guide

Behind-the-Meter Infrastructure Costs for Electrification Progression (BICEP) is a probabilistic model that provides granular estimation of existing behind-the-meter (BTM) electrical capacity and required additional capacity for various technologies in future energy scenarios.

Quick Start

from bicep.analysis import BicepResults

# Run a basic analysis
results = BicepResults(scenario='bau')
results.plot_drivers(residential=1)

Key Features

• Probabilistic modeling of electrical infrastructure capacity
• Multi-sector analysis (residential and commercial buildings)
• Technology adoption forecasting (heat pumps, EVs, solar PV)
• Cost estimation with uncertainty quantification

Documentation

• Getting Started - Installation and first steps
• Data Requirements - Input data formats and sources
• Methodology - Model approach and validation
• Examples - Workflow tutorials and use cases
• API Reference - Key classes and functions

Citation

If you use BICEP in your research, please cite our IEEE paper:

T. Yoder, I. Van Dyke, A. Mott and L. Esaki-Kua, “Estimating Behind-the-Meter Infrastructure Costs for Electrification Progression,” 2025 IEEE Power & Energy Society General Meeting (PESGM), Austin, TX, USA, 2025, pp. 1-5, doi: 10.1109/PESGM52009.2025.11225370.