2018
DOI: 10.1016/j.energy.2018.05.043
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Optimization of regional water - power systems under cooling constraints and climate change

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Cited by 25 publications
(8 citation statements)
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“…Our findings advance understanding of the global energywater nexus in a few ways. First, past studies that consider capacity expansion are often at coarse spatial scales and annual level, [29][30][31]37,41,[43][44][45][46] but this study shows that water constraints on thermal power generation have considerable spatial and temporal variability, and that the variability at finer spatial scales can affect water constraints at coarser spatial scales. One case illustrated in this study is the deployment of CO 2 for CCS.…”
Section: Energy and Environmental Science Papermentioning
confidence: 75%
See 1 more Smart Citation
“…Our findings advance understanding of the global energywater nexus in a few ways. First, past studies that consider capacity expansion are often at coarse spatial scales and annual level, [29][30][31]37,41,[43][44][45][46] but this study shows that water constraints on thermal power generation have considerable spatial and temporal variability, and that the variability at finer spatial scales can affect water constraints at coarser spatial scales. One case illustrated in this study is the deployment of CO 2 for CCS.…”
Section: Energy and Environmental Science Papermentioning
confidence: 75%
“…Current optimization studies on power systems or energy planning rarely consider changes in nameplate capacity at high spatial resolution. [44][45][46] Model development activities toward higher spatio-temporal resolutions may reveal new synergistic pathways for joint water management, energy planning, and CO 2 emissions mitigation. Although some water-saving policies already exist for the electricity sector in China and India, 19,83 our findings suggest that policy makers can achieve more sustainable short-term and long-term power planning by considering the abundance of, and competition for, local water resources in the dispatch of electricity, the approval of new power plants, use of CO 2 capture, and the management of regional transmission corridors.…”
Section: Papermentioning
confidence: 99%
“…On the other hand, the same can be more easily done for energy. Examples of this are found in Payet-Burin et al [ 31 ]—who evaluate the connection among overall energy production and cooling water for thermal plants in the Iberian Peninsula according to a fully integrated model -, Khan et al [ 32 ] built a fully coupled water-energy optimization model which hard-links the two systems in detail across spatial and temporal scales, and Su et al [ 17 ] whom create an ad-hoc model for the United States’ West Coast electricity and hydrological systems. The advantage of a fully integrated model resides in the capability to assess the interactions among energy and water systems without approximations in their dynamic behavior; however, this is balanced by the need to merge, harmonize and run simultaneously two models usually defined with different time and space scopes and with the level of detail required by the modelled complex phenomena.…”
Section: Introductionmentioning
confidence: 85%
“…Depending on the context, additional interrelations in the water-energy-food nexus, which are currently not simulated in the framework, could play an important role, such as energy consumption for water treatment or desalinization (Dubreuil et al, 2013), energy for water pumping in the agricultural or domestic sector (Bauer-Gottwein et al, 2016;Dubreuil et al, 2013), water for cooling purposes of thermal power plants (Payet-Burin et al, 2018;Van Vliet et al, 2016), and production of crops for biofuels (Mirzabaev et al, 2015). For study cases where these interactions have an important impact, they can be added to the modelling framework.…”
Section: Limitations and Further Researchmentioning
confidence: 99%