检索结果-南通市图书馆

A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework

Big Earth Data 2018年第3期2卷 197-227页

作者： Melissa R.Allen Syed Mohammed Arshad Zaidi Varun Chandola April M.Morton Christa M.Brelsford Ryan A.McManamay Binita KC Jibonananda Sanyal Robert N.Stewart Budhendra L.Bhaduri Computational Science and Engineering Division Oak Ridge National LaboratoryOak RidgeTNUSA Computer Science and Engineering Department University at BuffaloBuffaloNYUSA Environmental Sciences Division Oak Ridge National LaboratoryOak RidgeTNUSA Urban Dynamics Institute Oak Ridge National LaboratoryOak RidgeTNUSA

The energy-water nexus,or the dependence of energy on water and water on energy,continues to receive attention as impacts on both energy and water supply and demand from growing popula-tions and climate-related stresses are evaluated for future infra-structure *** in water and energy demand are related to changes in regional temperature,and precipitation extremes can affect water resources available for energy genera-tion for those regional ***,the vulnerabilities to the energy and water nexus are beyond the physical infrastruc-tures themselves and extend into supporting and interdependent *** of these vulnerabilities relies on the integration of the disparate and distributed data associated with each of the infrastructures,environments and populations served,and robust analytical methodologies of the data.A capability for the deployment of these methods on relevant data from multiple components on a single platform can provide actionable informa-tion for interested communities,not only for individual energy and water systems,but also for the system of systems that they ***,we survey the highest priority data needs and analy-tical methods for inclusion on such a platform.

关键词： energy-water nexus data analytics web portal

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Machine learning for energy-water nexus: challenges and opportunities

引用

Big Earth Data 2018年第3期2卷 228-267页

作者： Syed Mohammed Arshad Zaidi Varun Chandola Melissa R.Allen Jibonananda Sanyal Robert N.Stewart Budhendra L.Bhaduri Ryan A.McManamay Computer Science and Engineering Department University at BuffaloBuffaloNYUSA Computer Science and Engineering Division Oak Ridge National LaboratoryOak RidgeTNUSA Environmental Sciences Division Oak Ridge National LaboratoryOak RidgeTNUSA Urban Dynamics Institute Oak Ridge National LaboratoryOak RidgeTNUSA

Modeling the interactions of water and energy systems is important to the enforcement of infrastructure security and system *** this end,recent technological advancement has allowed the production of large volumes of data associated with functioning of these *** are beginning to see that statistical and machine learning techniques can help elucidate characteristic patterns across these systems from water availability,transport,and use to energy generation,fuel supply,and customer demand,and in the interde-pendencies among these systems that can leave these systems vul-nerable to cascading impacts from single *** this paper,we discuss ways in which data and machine learning can be applied to the challenges facing the energy-water nexus along with the potential issues associated with the machine learning techniques *** then survey machine learning techniques that have found application to date in energy-water nexus *** con-clude by outlining future research directions and opportunities for collaboration among the energy-water nexus and machine learning communities that can lead to mutual synergistic advantage.

关键词： Machine learning data energy-water nexus

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Quantitative evaluation framework and application for regional water sustainability under local energy transition

引用

Advances in Climate Change Research 2023年第6期14卷 976-987页

作者： Lan-Tian ZHANG Ying-Ying LIU Sha CHEN Han-Bing LI Su-Mei LI Ke-Jun JIANG Ji GAO College of Environmental Science and Engineering Key Laboratory of Beijing on Regional Air Pollution ControlBeijing University of TechnologyBeijing 100124China energy Research Institute Chinese Academy of Macroeconomic ResearchBeijing 100038China Environmental Defense Fund Beijing 100007China

Quantitatively analysing the impacts on regional water sustainability under the energy transition is vital to regional water management and specific technology selection,which is also relevant to dealing with climate *** study proposed a new multi-indicator evaluation framework for regional water sustainability under local energy transition to quantitatively evaluate the water withdrawal and water environment during the energy transition from a lifecycle *** integrated regional energy-water evaluation model was also developed based on the Low Emissions Analysis Platform with a combination of lifecycle assessment and water footprint *** province in China was then taken as a case study,and the impacts of its energy transition on regional water environmental sustainability,including quantity and quality,were investigated under five *** showed that the large-scale application of carbon capture,utilisation and storage technology and bio-energy equipped with carbon capture and storage technology could have additional advantages regarding CO_(2) ***,such technologies exhibit a minimal effect on improving water environmental quality and reducing water demand for the first time due to the leakage of absorbents,CO_(2) and other risky substances during capture,transportation and storage from a lifecycle *** finding drives the innovation of related breakthrough technologies with the promotion of water and end-treatment technologies in the future.

关键词： water sustainability energy-water nexus Transition path Spatial and temporal analyses

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Model predictive control for water management and energy security in arid/semiarid regions

引用

Journal of Automation and Intelligence 2022年第1期1卷 55-67页

作者： D.M.Bajany L.Zhang X.Xia Department of Electrical Electronic and Computer EngineeringUniversity of PretoriaPretoria 0002South Africa School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China

This paper aims to develop a realistic operational optimal management of a water supply system in an arid/semiarid region under climate change *** developed model considers the dynamic variation of water demand,rainfall,weather,and seasonal change in electricity *** is mathematically developed as a multi-constraint non-linear programming model based on model predictive control *** model optimises the quantities of water supplied by each source every month and improves the energy efficiency in a water supply system with multiple types of *** effectiveness of the developed MPC model is verified by applying it to a case study and comparing the results with those obtained with an open loop *** showed that using the MPC model leads to a 4.16%increase in the water supply cost compared to the open loop ***,when considering uncertainties in predicting water demands,aquifer recharges,rainfall,and evaporation rate,the MPC model was better than the open loop ***,the MPC model could meet the water demand at any period due to its predictability of variations,which was not the case with the open loop ***,a sensitivity analysis is conducted to verify the capacity of the developed model to deal with some phenomena due to climatic changes,such as in rainfall.

关键词： water supply management Model predictive control energy-water nexus

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：