Development of life cycle water-demand coefficients for coal-based power generation technologies

Ali, Babkir; Kumar, Amit

doi:10.1016/j.enconman.2014.11.013

Cited by 45 publications

(13 citation statements)

References 18 publications

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“…In order to meet the demand of environmental protection requests, countermeasures, such as gas desulfurization and dust elimination, were implemented and promoted effectively. Meanwhile, gas desulfurization and dust elimination consume certain amounts of fresh water [24]. The strict requirements of environmental protection could significantly increase water demand in the short term.…”

Section: Discussionmentioning

confidence: 99%

An Empirical Research on Influence Factors of Industrial Water Use

Wang

Zhang

2019

Water

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The contradiction between increasing demand and current supply has affected the healthy development of industry. Investigating the key influence factors of industrial water use change has important practical significance for water resource management. In this study, the authors propose the vector autoregression model to analyze the dynamic influences of industrial development, technological progress, and environmental protection on industrial water use change, and take Jiangsu Province, China as a case study. Results show that each of the factors had different effects during 2001–2015, in which industrial development was the greatest contributor to the change of industrial water use and showed a positive effect in the forecast period; technological progress played a major role in reducing industrial water use, but the negative effect weakened periodically over time; environmental protection also had a positive influence in the early forecast period, and then showed a marginal effect with time. Results of this study could assist the relevant authorities to formulate appropriate industrial development planning and water saving policies, and to reasonably control the industrial water demand.

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Section: Discussionmentioning

confidence: 99%

An Empirical Research on Influence Factors of Industrial Water Use

Wang

Zhang

2019

Water

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“…For example, Jin et al 30 included water intensities of Gleick 21 and Ali 44 . However, Ali 44 used data from Ali and Kumar 39 , who used data from Meldrum et al 22 , who used data from Fthenakis and Kim 37 , who used data from Gleick 21 . The pool of water intensities, therefore, includes averages that already contain water intensities that were previously averaged.…”

Section: Original Data Sources Double-counted In Review Papersmentioning

confidence: 99%

Unreflective use of old data sources produced echo chambers in the water–electricity nexus

et al. 2021

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“…(In the calculation of the water use of power generation for Combined Heat and Power (CHP) systems, the fuel input provides both heat and power. It is assumed that thermal production contributes 90% of the total water use and heat contributes 10% and that no cooling water is required for district heating systems [34]; the green dot denotes the statistic-based method using a meta-analysis [25]; the short line is the parameter-based method for different cooling technologies for natural gas-fired power generation [39], renewable power generation [40], and coal-fired power generation [41]; the purple square is the input-output method for calculating the water footprint of coal-fired [42] and wind power [43] in China; the long line represents the process method in Europe [33] and in the USA [44]. )…”

Section: Comparison Of Water Footprints Of Different Power Typesmentioning

confidence: 99%

Water Footprints and Virtual Water Flows Embodied in the Power Supply Chain

Wang

Fan

Varbanov

et al. 2020

Water

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Water use within power supply chains has been frequently investigated. A unified framework to quantify the water use of power supply chains deserves more development. This article provides an overview of the water footprint and virtual water incorporated into power supply chains. A water-use mapping model of the power supply chain is proposed in order to map the analysed research works according to the considered aspects. The distribution of water footprint per power generation technology per region is illustrated, in which Asia is characterised by the largest variation of the water footprint in hydro-, solar, and wind power. A broader consensus on the system boundary for the water footprint evaluation is needed. The review also concludes that the water footprint of power estimated by a top-down approach is usually higher and more accurate. A consistent virtual water accounting framework for power supply chains is still lacking. Water scarcity risks could increase through domestic and global power trade. This review provides policymakers with insights on integrating water and energy resources in order to achieve sustainable development for power supply chains. For future work, it is essential to identify the responsibilities of both the supply and demand sides to alleviate the water stress.

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Development of life cycle water-demand coefficients for coal-based power generation technologies

Cited by 45 publications

References 18 publications

An Empirical Research on Influence Factors of Industrial Water Use

An Empirical Research on Influence Factors of Industrial Water Use

Unreflective use of old data sources produced echo chambers in the water–electricity nexus

Water Footprints and Virtual Water Flows Embodied in the Power Supply Chain

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