Resource use, physical flows, and costs of select technologies and facilities in U.S. chemicals, cement, iron and steel, food, and non-manufacturing industries

Resource use, physical flows, and costs of select technologies and facilities in U.S. chemicals, cement, iron and steel, food, and non-manufacturing industries | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF data-descriptor Resource use, physical flows, and costs of select technologies and facilities in U.S. chemicals, cement, iron and steel, food, and non-manufacturing industries Yongxian Zhu, Sarang Supekar, Kristina Armstrong, Greg Avery, and 13 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8981165/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract We present a structured dataset that characterizes select technologies and facilities across U.S. industry. This dataset enables consistent, cross-sector techno-economic and energy/emissions characterization of U.S. industrial production for modeling and benchmarking analysis. The dataset covers six manufacturing sectors—ammonia, cement, ethanol, ethylene and propylene, iron and steel, and food, and three non-manufacturing sectors—agriculture, mining, and construction. Organized as an industry-level JSON array, the dataset integrates standardized assumptions, characterizations of incumbent and emerging technologies , and inventories of existing facilities. The assumptions harmonize units and prices, normalize operating costs using common feedstock and fuel base-lines, apply chemical engineering plant cost index factors to capital costs, and index all cost values to 2018 USD. For manufacturing sectors, the dataset provides facility-level inventories including 36 ammonia, 97 cement, 201 ethanol, 35 1 ethylene and propylene, and 102 iron and steel plants. Also included are state-level food production and energy intensities. For non-manufacturing sectors, the dataset catalogs 18 technology options rather than facility inventories, documenting qualitative benefits and low/average/high estimates of potential resource use, emissions, and cost reductions. Data sources include publicly available datasets from federal agencies, industry, and academic literature. The dataset supports energy systems optimization, capacity planning, integrated assessment modeling, and benchmarking analysis. foundational industrial dataset energy systems modeling industrial energy analysis facility-level data Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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