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Balancing the water-energy dilemma in nexus system planning with bi-level and multi-uncertainty.
- Source :
-
Energy . Sep2023, Vol. 278, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- The complicated interrelationship between water and energy makes the water-energy dilemma a complex challenge to be tackled, especially considering the tradeoffs among decision-makers at different hierarchical levels and multiple uncertainties derived from climate change, socio-economic development, technical improvement and decision-making preferences. Thus, a water-energy nexus planning framework would be established in this paper to assist optimal decision-making with bi-level programming and multi-uncertainty. By integrating the regional climate model, multiple linear regression, and bi-level interval flexible programming, an integrated prediction optimization model would be developed as the core of the water-energy nexus planning framework. Then it is applied to planning Zhengzhou City over fifteen years. Multiple scenarios based on electricity demand-supply and carbon dioxide emission satisfaction degrees are analyzed leading to the results of (1) compared to the conventional single-level optimization method, the developed model can achieve the hierarchical goals of water saving and economic suitability; (2) renewable energy will be largely developed and its ratio to electricity generation will reach [26.30, 27.51] % under the limited water availability. Overall, the proposed water-energy nexus planning framework can achieve a balanced water-energy dilemma considering bi-level decision-making preferences and multi-uncertainties, which can be applied to planning water-energy nexus systems at a similar scale. • Regional climate model is used for predicting future electricity demands. • The proposed model addresses bi-level and multi-uncertainty. • Water-energy dilemma towards two different hierarchical levels is assessed. • Optimal solutions provide insights for managing similar scale studies. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03605442
- Volume :
- 278
- Database :
- Academic Search Index
- Journal :
- Energy
- Publication Type :
- Academic Journal
- Accession number :
- 164379721
- Full Text :
- https://doi.org/10.1016/j.energy.2023.127720