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Modeling and simulation of industrial water demand of Beijing municipality in China

Shouke WEI, Shafi Noor ISLAM, Alin LEI,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1,   Pages 91-101 doi: 10.1007/s11783-010-0007-6

Abstract: demand, water deficits, and their future uncertainty in Beijing—a Chinese city with a severe waterFour scenarios were designed to simulate and analyze the future uncertainty of industrial water demandand the water deficit of Beijing.The modeling results for industrial water demand suggested that Beijing industry would face a water deficitdemand would decrease from 6.31× 10 m to 4.84 × 10 m during this period of time

Keywords： water scarcity     water demand     water deficit     modeling     industry     scenario     Beijing    

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Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 204-212 doi: 10.1007/s11783-011-0364-9

Abstract: A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demandIn the demand coverage method, the demand coverage of each set of monitoring stations is calculated byaccumulating their demand coverage under each demand pattern, and the impact of temporal distributionthe set of optimal locations of monitoring stations obtained using the DCI method can represent the waterquality of water distribution systems under multiple demand patterns better than the one obtained using

Keywords： demand coverage     monitoring     optimization     water distribution network     water quality    

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A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting

Keywords： Short-term water demand forecasting     Long-short term memory neural network     Convolutional Neural Network    

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Natural ecological water demand in the lower Heihe River

FU Xinfeng, HE Hongmou, JIANG Xiaohui, WANG Guoqing, YANG Shengtian

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 1,   Pages 63-68 doi: 10.1007/s11783-008-0022-z

Abstract: To restore the ecological environment in the lower Heihe River, the ecological water demand should beBased on the analysis for the Quota of the natural ecological water demand in the lower Heihe River andthe determination of the natural ecological water demand calculation method, the ecological water demandFinally, the natural ecological water demand in the lower Heihe River under the current situation wasIn comparison, the natural ecological water demand in the lower Heihe River is 3.91–4.05 × 10 m.
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Cleaning the energy sources for water heating among Nanjing households: barriers and opportunities for

Lingyun ZHU,Beibei LIU,Jun BI

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 5,   Pages 757-766 doi: 10.1007/s11783-013-0603-3

Abstract: Energy for water heating accounts for an increasing part in residential energy demand in China.An extensive survey was conducted to analyze the determinants of household energy choices for water heaters’s education degree and energy-conserving sense are crucial determinants in choosing natural gas as waterfactors in choosing solar water heaters.Based on these, barriers and opportunities are discussed for transitions toward cleaner water heating

Keywords： residential energy demand     water heating     multinomial logit model    

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Modeling and verifying chlorine decay and chloroacetic acid formation in drinking water chlorination

Wenjun LIU, Shaoying QI,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1,   Pages 65-72 doi: 10.1007/s11783-010-0010-y

Abstract: This study presents a phenomenological model that can be used by the water professionals to quantifychlorine decay and disinfection byproduct (DBP) formation in water.The kinetic model was developed by introducing the concept of limiting chlorine demand and extendingThe limiting chlorine demand, which quantifies chlorine reactive natural organic matter (NOM) on an equivalentIt was found experimentally that NOM in water has limiting chlorine demand that increases with chlorine

Keywords： chlorine demand     chlorine decay     chloroacetic acids     disinfection byproducts     model    

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MILP synthesis of separation processes for waste oil-in-water emulsions treatment

Zorka N. Pintarič,Gorazd P. Škof,Zdravko Kravanja

Frontiers of Chemical Science and Engineering 2016, Volume 10, Issue 1,   Pages 120-130 doi: 10.1007/s11705-016-1559-1

Abstract: This paper presents a novel synthesis method for designing integrated processes for oil-in-water (O/WIntegrated processes composed of selected separation techniques for given ranges of input chemical oxygen demandindustrial case study for deriving optimal combinations of technologies for treating diverse oil-in-waterprocess for reducing the COD values below maximal allowable limits for discharging effluent into surface water

Keywords： oil-in-water emulsion     chemical oxygen demand     superstructure     process synthesis     MILP    

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Understanding the demand predictability of bike share systems: A station-level analysis

Frontiers of Engineering Management   Pages 551-565 doi: 10.1007/s42524-023-0279-8

Abstract: Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSSWhile researchers have mainly focused on improving prediction accuracy and analysing demand-influencingUsing Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified thesome stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demandFindings from this study provide more fundamental understanding of BSS demand prediction, which can help

Keywords： bike share systems     demand prediction     prediction errors     machine learning     entropy    

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Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 31-40 doi: 10.1007/s11708-014-0296-8

Abstract: This paper applies time series methodologies to examine the causal relationship among electricity demandMoreover, there is a bi-directional Granger causality flow between real per capita GDP and electricity demand; while labor force does not Granger-cause neither real per capita GDP nor electricity demand.This implies that electricity demand and economic growth are jointly determined at the same time for

Keywords： energy policies     electricity demand     GDP     labor force     stationarity     structural breaks     cointegration     causality    

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Optimizing the Route to the North of the Yellow River for the Eastern Route of the South-to-North Water

Zhao Yong, He Fan, Wang Qingming, He Guohua

Strategic Study of CAE 2022, Volume 24, Issue 5,   Pages 107-115 doi: 10.15302/J-SSCAE-2022.05.013

Abstract: Project was approved 20 years ago, the supply and demand situation of water resources and waterroute of the South-to-North Water Diversion Project.Analyses of the long-term supply and demand trend, spatial distribution, and structural characteristicsof the Beijing‒Tianjin‒Hebei region exhibit that from the long-term supply and demand trend, the gapand the growth of water demand is mainly contributed by the central and western urban areas, which are

Keywords： South-to-North Water Diversion Project     Beijing-Tianjin-Hebei region     Baiyang Lake     water supply anddemand     double route    

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Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

Frontiers in Energy 2010, Volume 4, Issue 4,   Pages 459-468 doi: 10.1007/s11708-010-0119-5

Abstract: An assessment of the energy demand and the potential for sector-based emission reductions will provideIn this paper, Beijing was selected as a special case for analysis in order to assess the energy demandResults show that in the high motorization-oriented pattern scenario, total energy demand is about 13.94%On the other hand, in the bus and rail transit-oriented scenario, total energy demand is about 11.57%

Keywords： scenario analysis     urban traffic pattern     energy demand     reduction potential    

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Smart residential energy management system for demand response in buildings with energy storage devices

S. L. ARUN, M. P. SELVAN

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 715-730 doi: 10.1007/s11708-018-0538-2

Abstract: Demand side management (DSM) is one of such smart grid technologies which motivate end users to activelyConsumers are expected to respond (demand response (DR)) in various ways to attain these benefits.discharging) and the amount of power exchange from the battery while considering the variations in consumer demand

Keywords： smart grid     demand side management (DSM)     demand response (DR)     smart building     smart appliances     energy storage    

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Applications of thermostatically controlled loads for demand response with the proliferation of variable

Meng SONG, Wei SUN

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 64-73 doi: 10.1007/s11708-021-0732-5

Abstract: flexibility is desirable with the proliferation of variable renewable resources for balancing supply and demandloads (TCLs) attract tremendous attentions because of their specific thermal inertia capability in demand

Keywords： thermostatically controlled load     demand response     renewable energy     power system operation    

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Understanding network travel time reliability with on-demand ride service data

Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 388-398 doi: 10.15302/J-FEM-2017046

Abstract: better evaluate the urban network-wide travel time reliability, five indices based on the emerging on-demandWe use real-world data extracted from DiDi-Chuxing, which is the largest on-demand ride service platform

Keywords： network travel time reliability     on-demand ride services     travel time rate     OD    

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Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1698-9

Abstract:

● Data acquisition and pre-processing for wastewater treatment were summarized.

Keywords： Chemical oxygen demand     Mining-beneficiation wastewater treatment     Particle swarm optimization     Support    

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Title Author Date Type Operation

Modeling and simulation of industrial water demand of Beijing municipality in China

Shouke WEI, Shafi Noor ISLAM, Alin LEI,

Journal Article

Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Journal Article

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Journal Article

Natural ecological water demand in the lower Heihe River

FU Xinfeng, HE Hongmou, JIANG Xiaohui, WANG Guoqing, YANG Shengtian

Journal Article

Cleaning the energy sources for water heating among Nanjing households: barriers and opportunities for

Lingyun ZHU,Beibei LIU,Jun BI

Journal Article

Modeling and verifying chlorine decay and chloroacetic acid formation in drinking water chlorination

Wenjun LIU, Shaoying QI,

Journal Article

MILP synthesis of separation processes for waste oil-in-water emulsions treatment

Zorka N. Pintarič,Gorazd P. Škof,Zdravko Kravanja

Journal Article

Understanding the demand predictability of bike share systems: A station-level analysis

Journal Article

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Journal Article

Optimizing the Route to the North of the Yellow River for the Eastern Route of the South-to-North Water

Zhao Yong, He Fan, Wang Qingming, He Guohua

Journal Article

Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

Journal Article

Smart residential energy management system for demand response in buildings with energy storage devices

S. L. ARUN, M. P. SELVAN

Journal Article

Applications of thermostatically controlled loads for demand response with the proliferation of variable

Meng SONG, Wei SUN

Journal Article

Understanding network travel time reliability with on-demand ride service data

Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN

Journal Article

Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model

Journal Article