Semantic Scholar Open Access 2023 82 sitasi

Global database of cement production assets and upstream suppliers

Nataliya Tkachenko Kevin Tang Matthew McCarten S. Reece David Kampmann +9 lainnya

Abstrak

Cement producers and their investors are navigating evolving risks and opportunities as the sector’s climate and sustainability implications become more prominent. While many companies now disclose greenhouse gas emissions, the majority from carbon-intensive industries appear to delegate emissions to less efficient suppliers. Recognizing this, we underscore the necessity for a globally consolidated asset-level dataset, which acknowledges production inputs provenance. Our approach not only consolidates data from established sources like development banks and governments but innovatively integrates the age of plants and the sourcing patterns of raw materials as two foundational variables of the asset-level data. These variables are instrumental in modeling cement production utilization rates, which in turn, critically influence a company’s greenhouse emissions. Our method successfully combines geospatial computer vision and Large Language Modelling techniques to ensure a comprehensive and holistic understanding of global cement production dynamics.

Topik & Kata Kunci

Penulis (14)

N

Nataliya Tkachenko

K

Kevin Tang

M

Matthew McCarten

S

S. Reece

D

David Kampmann

C

Conor Hickey

M

Maral Bayaraa

P

Peter Foster

C

Courtney Layman

C

Cristian Rossi

K

Kimberly Scott

D

Dave Yoken

C

Christophe Christiaen

B

Ben Caldecott

Format Sitasi

Tkachenko, N., Tang, K., McCarten, M., Reece, S., Kampmann, D., Hickey, C. et al. (2023). Global database of cement production assets and upstream suppliers. https://doi.org/10.1038/s41597-023-02599-w

Akses Cepat

Lihat di Sumber doi.org/10.1038/s41597-023-02599-w
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
82×
Sumber Database
Semantic Scholar
DOI
10.1038/s41597-023-02599-w
Akses
Open Access ✓