Article: Dynamic modeling of global fossil fuel infrastructure and materials needs: Overcoming a lack of available data
2022
Abstract: The low-carbon energy transition requires a widespread change in global energy infrastructures which in turn calls for important inputs of energy and materials. While the transport and electricity sectors have been thoroughly analyzed in this regard, ... ...
Abstract | The low-carbon energy transition requires a widespread change in global energy infrastructures which in turn calls for important inputs of energy and materials. While the transport and electricity sectors have been thoroughly analyzed in this regard, that of the hydrocarbon industry has not received the same attention, maybe in part due to the difficulty of access to the necessary data. To fill this gap, we assemble public-domain data from a wide variety of sources to present a stock-flow dynamic model of the fossil fuels supply chain. It is conducted from 1950 to 2050 and along scenarios from the International Energy Agency. We estimate the concrete, steel, aluminum and copper requirements for each segment, as well as the embedded energy and CO₂ emissions through a dynamic material flow analysis (MFA) model. We find that (i) the material intensities of oil, gas and coal supply chains have stagnated for more than 30 years; (ii) gas is the main driver of current and future material consumption; and (iii) recycled steel from decommissioned fossil fuels infrastructures could meet the cumulative need of future low-carbon technologies and reduce its energy and environmental toll. Furthermore, we highlight that regional decommissioning strategies significantly affect the potential of material recycling and reuse. In this context, ambitious decommissioning strategies could drive a symbolic move to build future renewable technologies from past fossil fuel structures. |
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Keywords | aluminum ; carbon dioxide ; coal ; concrete ; dynamic models ; electricity ; embodied energy ; industry ; infrastructure ; material flow analysis ; oils ; steel ; supply chain |
Language | English |
Dates of publication | 2022-0816 |
Publishing place | Elsevier Ltd |
Document type | Article |
Note | Pre-press version |
ZDB-ID | 2000772-3 |
ISSN | 0306-2619 |
ISSN | 0306-2619 |
DOI | 10.1016/j.apenergy.2022.119871 |
Database | NAL-Catalogue (AGRICOLA) |
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