Water for electricity in India: A multi-model study of future challenges and linkages to climate change mitigation

Srinivasan, Shweta; Kholod, Nazar; Chaturvedi, Vaibhav; Ghosh, Probal P.; Mathur, Ritu; Clarke, Leon; Evans, Meredydd; Hejazi, Mohamad; Kanudia, Amit; Koti, Poonam Nagar; Liu, Bo; Parikh, Kirit S.; Ali, Mohammed Sahil; Sharma, Kabir

doi:10.1016/j.apenergy.2017.04.079

Cited by 63 publications

(23 citation statements)

References 47 publications

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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%

“…48,49 This study assesses the impacts of future water constraints on the usable capacity of coal-fired power generation in Developing Asia. In contrast to prior studies, that have used IAM-projected scenarios to assess the thermal electricity-water nexus under capacity expansion, [29][30][31]37,50 this study integrates asset-level geospatial databases describing the location, type and capacity of existing and future coal power generation 20 with highresolution hydrological projections at 5 arcmin (B10 km at the equator). The analysis reveals local and daily variations in the water constraints on thermal power generation.…”

Section: Introductionmentioning

confidence: 99%

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Vulnerability of existing and planned coal-fired power plants in Developing Asia to changes in climate and water resources

Wang

Byers

Parkinson

et al. 2019

Energy Environ. Sci.

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Section: Energy and Environmental Science Papermentioning

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Vulnerability of existing and planned coal-fired power plants in Developing Asia to changes in climate and water resources

Wang

Byers

Parkinson

et al. 2019

Energy Environ. Sci.

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“…Driven by the urgent needs of reliable scientific findings and robust policy-making, multi-model analysis, especially IAM-based MMC, has been paid considerable attentions in forecast of climate extremes, assessment of climate change risks, analysis of emission paths, and mechanism design of mitigation and adaptation (Tavoni et al 2014, Srinivasan et al 2017, Zhang et al 2015. On this basis, we conducted a survey on the extant multi-model studies in this work, to systematically examine the research status of the multi-model method, conclude the modelrobust findings, and explore the possible gaps for future steps.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Robust climate change research: a review on multi-model analysis

Duan

Zhang

Wang

et al. 2019

Environ. Res. Lett.

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Significant differences in key results across the various climate models and integrated assessment models (IAMs) represent a critical challenge to reliable scientific findings and the robust design of climate policies, which leads to an enormous amount of attention and the urgent call for a multimodel study. In this paper, we develop an integrated literature-survey framework by combining the typical content analysis with a simple statistical analysis to systematically examine the developing trends of IAM-based multi-model studies and explore the model-robust climate policy findings; we also conduct an extended analysis to identify the role of a multi-model approach in global warming and other global change research by employing co-citation network analysis. The results reveal that multi-model comparison and ensemble are effective methods to explore reliable scientific findings and yield robust policy conclusions. The current multi-model studies are sparse as a whole, especially for IAM-based climate economic and policy research; future multi-model works, at both the global and regional levels, are therefore promising. We observe that the developed countries (the EU and the US) dominate the current multi-model study, which could be proved by the number of primary IAMs developed, frequency of models adopted, and number of works published. Addressing the risks of global warming relies on reliable scientific research and robust climate policy design, particularly for the developing large emitters, which heavily depends on consistent efforts toward primary model development and comprehensive cooperation with state-of-the-art model teams all over the world.

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“…Demand-driven water stresses are expected to increase, in particular, in basins in which freshwater resources are limited, such as the Middle East, North Africa, Pakistan, India, and Northeast China (Hanasaki et al 2013a, Hejazi et al 2014a, Schlosser et al 2014, Damerau et al 2015. Second, sectoral (i.e., electricity and agriculture) water demand is highly dependent on decisions such as technological and crop choices, which, in turn will be influenced by broader societal goals such as clean air, electricity and food access, and reducing greenhouse gas emissions , Damerau et al 2015, Bijl et al 2016, Fricko et al 2016, Ando et al 2017, Srinivasan et al 2017. For example, thermoelectric generation technologies (e.g.…”

Section: Introductionmentioning

confidence: 99%

Regional responses to future, demand-driven water scarcity

Cui

Calvin

Clarke

et al. 2018

Environ. Res. Lett.

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This paper explores regional response strategies to potential water scarcity. Using a model of integrated human-earth system dynamics (GCAM), we test a wide range of alternate water demand scenarios to explore regional response strategies. We create a typology that categorizes countries and basins according to their responses in electricity and agriculture to potential water scarcity. Three different categories are found. First, little response is observed for many basins because water demands do not increase enough to create scarcity. Second, the primary response is adjustments in the electricity sector (e.g. most basins in Western Europe, the United States and China) with a transition to water-saving cooling systems but marginal impact on total power generation or the fuel mix. Third, where there is a lack of sufficient responding capacity in the electricity sector (e.g. Pakistan, Middle East and several basins in India), additional response occurs through reduced irrigation water withdrawals, either by switching from domestic production to imports or from irrigated agriculture to rain-fed production. The primary response mechanism to demand-based water scarcity for individual basins is quite robust across the range of water demand scenarios tested. The results and typology in this paper will be valuable for future research exploring global water scarcity due to both demand and supply drivers.

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Water for electricity in India: A multi-model study of future challenges and linkages to climate change mitigation

Cited by 63 publications

References 47 publications

Vulnerability of existing and planned coal-fired power plants in Developing Asia to changes in climate and water resources

Vulnerability of existing and planned coal-fired power plants in Developing Asia to changes in climate and water resources

Robust climate change research: a review on multi-model analysis

Regional responses to future, demand-driven water scarcity

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