Technology- and facility-level energy, cost, and environmental performance in U.S. chemicals, cement, iron and steel, food, and non-manufacturing industries

This U.S. industrial facilities and technology dataset is a technology- and facility-level collection of technological, cost, energy, and emissions attributes for six manufacturing and three non-manufacturing U.S. industries. The dataset is a JSON array organized by industry. Each industry entry (except for mining and agriculture) contains four sections: author list, assumptions, emerging technologies, and existing facilities. The non-manufacturing industry inventories 18 solutions across agriculture, mining and construction sectors and 6 categories, documenting qualitative benefits and quantitative energy/emissions reduction potentials with low/average/high estimates. The dataset integrates data exclusively from publicly available data sources including EPA's Greenhouse Gas Reporting Program, U.S. Geological Survey, industry reports, peer-reviewed research to provide a unified resource for energy systems modeling and analysis.
The assumptions section standardizes units and conversions ..., , # Technology- and facility-level energy, cost, and environmental performance in U.S. chemicals, cement, iron and steel, food, and non-manufacturing industries

This document consolidates per-industry READMEs and augments them with field types and examples of the US_industrial_facilities_and_technology_dataset.json.

# Data description

This dataset was assembled to enable engineering analysis of energy and material flows and technology assessments of various iron and steel manufacturing processes. Publicly available facility-level data (EPA GHGRP, USGS, EIA, industry reports, peer-reviewed literature) were curated, standardized (geocoding, technology classification), and harmonized. Process-stage energy/feedstock intensities and direct CO~2~ factors were cross-validated against mass/energy balances. Capital and operating costs were normalized using CEPCI and consistent price assumptions. Emerging routes (e.g., hydrogen-based DRI, CCS-enabled, electrolytic) were parameterized from litera...,