Repositori institucional URV
| URV's Author/s: | Jiménez Esteller, Laureano / Pozo Fernández, Carlos / Rostami, Fatemeh |
| Author, as appears in the article.: | Rostami F; Patrizio P; Jimenez L; Pozo C; Mac Dowell N |
| Author's mail: | fatemeh.rostami@urv.cat carlos.pozo@urv.cat fatemeh.rostami@urv.cat laureano.jimenez@urv.cat |
| Author identifier: | 0000-0002-3186-7235 |
| Journal publication year: | 2024 |
| Publication Type: | Journal Publications |
| APA: | Rostami F; Patrizio P; Jimenez L; Pozo C; Mac Dowell N (2024). Assessing the realism of clean energy projections. Energy & Environmental Science, 17(14), 5241-5259. DOI: 10.1039/d4ee00747f |
| Papper original source: | Energy & Environmental Science. 17 (14): 5241-5259 |
| Abstract: | Although pivotal in the climate change discourse, integrated assessment models (IAMs) often face criticism for their overly optimistic projections. In this contribution, we critically examine IAM limitations in the context of clean energy technologies and critical materials. IAMs project a very substantial increase in clean energy technology deployment by 2050. When considering diverse technology types and their material requirements - information missing from IAMs - we find that this may represent a substantial 571-fold surge in selenium demand and a 531-fold increase in gallium, figures that seem difficult to achieve. This challenges not only the capacity of material reserves but also the rate at which these can be produced. To address this gap, we propose establishing a direct link between industrial assets and required materials through simple constraints on material availability. We illustrate the capabilities of this approach by estimating the achievable clean energy capacities by 2050. We find potential shortages in the capacity developed for clean energy technologies compared to IAM projections that may result in deviations from the Paris agreement target by 0.06-0.95 °C. Therefore, incorporating material constraints and technological diversity into IAMs presents a valuable opportunity to enhance their predictive accuracy and guide evidence-based policymaking. Including these aspects in IAMs and decision-support tools will make them more useful in shaping a sustainable yet realistic energy sector. |
| Article's DOI: | 10.1039/d4ee00747f |
| Link to the original source: | https://pubs.rsc.org/en/content/articlelanding/2024/ee/d4ee00747f |
| Papper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Enginyeria Química |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | Renewable energy, sustainability and the environment Química Pollution Nuclear energy and engineering Materiais Environmental sciences Environmental chemistry Engineering, chemical Engenharias iv Engenharias ii Engenharias i Energy & fuels Chemistry, multidisciplinary Biotecnología Astronomia / física |
| Keywords: | Industry, innovation and infrastructure |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2024-11-23 |
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