Bridging the industrial data gap: Top-down approach from national statistics to site-level energy consumption data.

Detailed data on hard-to-abate industrial sectors is crucial for developing targeted decarbonization measures in energy system modeling, yet such information is rarely available through open sources. This paper presents a top-down methodology to estimate detailed industrial site-level energy and emissions databases by integrating and expanding publicly available data. The methodology addresses three key challenges: (1) the disaggregation of national energy consumption data to site level, (2) the categorization of process heat by four temperature ranges (<100 °C, 100 °C-500 °C, 500 °C-1000 °C, and >1000 °C) and direct use of electricity, and (3) the integration of process emissions from feedstock use in hard-to-abate industrial sectors.