Promoting the sustainable development of CCUS projects: A multi-source data-driven location decision optimization framework
•Constructed a framework integrating suitability assessment and priority analysis.•Conducted empirical study on the background of China, providing targeted strategics.•Achieved interdisciplinary integration, employing multidisciplinary methodologies.•Validated the framework with real data, offering...
Gespeichert in:
Veröffentlicht in: | Sustainable cities and society 2024-11, Vol.114, p.105754, Article 105754 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | •Constructed a framework integrating suitability assessment and priority analysis.•Conducted empirical study on the background of China, providing targeted strategics.•Achieved interdisciplinary integration, employing multidisciplinary methodologies.•Validated the framework with real data, offering a reference for other regions.•Unveiled adaptable outcomes for sustainable framework under varied preferences.
Carbon Capture, Utilization, and Storage (CCUS) technology is vital for achieving global carbon reduction targets. However, the uncertainties in technology and economic viability are influenced by location. To promote the sustainable development of CCUS technology, the study proposes a data-driven framework for optimizing location decisions. Firstly, the framework considers multiple factors, including geospatial data on resources, risks, power production, transportation, and environment. It also evaluates qualitative and quantitative data across economic, social, environmental, and technological dimensions. Secondly, the two-stage model is conducted as follows: Using Geographic Information System (GIS) technology, the first stage identifies suitable regions for CCUS projects, while the second stage prioritizes these regions using the TODIM method. Further, validated in China, the Junggar Basin, Tarim Basin, Ordos Basin, Sichuan Basin, and Bohai Rim Basin are identified as suitable for CCUS deployment. The Huaneng Luohuang Power Plant is the most conducive location for CCUS projects as pilot demonstrations. Final sensitivity analysis, scenario analysis, and comparative analysis have respectively affirmed the stability, dynamism, and reliability of the model. These analyses have also been instrumental in elucidating the final preferred outcomes under various decision-making preferences and strategic orientations. The framework for decision-making and data-driven priority model for CCUS projects layout proposed in the study can provide technical support and practical evidence for decision-makers in planning CCUS projects and formulating supportive policies. |
---|---|
ISSN: | 2210-6707 |
DOI: | 10.1016/j.scs.2024.105754 |