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

Shouke WEI, Shafi Noor ISLAM, Alin LEI,

《环境科学与工程前沿（英文）》 2010年 第4卷 第1期   页码 91-101 doi: 10.1007/s11783-010-0007-6

摘要： Statistic and econometric regression models were established in this study to analyze and predict industrial water demand, water deficits, and their future uncertainty in Beijing—a Chinese city with a severe water stress problem. A forecasting model was selected based on a modeling evaluation by comparing predictions with observations. Four scenarios were designed to simulate and analyze the future uncertainty of industrial water demand and the water deficit of Beijing. The modeling results for industrial water demand suggested that Beijing industry would face a water deficit between 3.06 × 10 min 2008 and 2.77 × 10 m in 2015, though its industrial water demand would decrease from 6.31× 10 m to 4.84 × 10 m during this period of time. Results from simulated scenario illustrated that, due to the extreme water scarcity situation, industry in Beijing would still face a serious water deficit problem even with a very optimistic scenario for the future.

关键词： 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

《环境科学与工程前沿（英文）》 2012年 第6卷 第2期   页码 204-212 doi: 10.1007/s11783-011-0364-9

摘要： A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods.

关键词： 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

《环境科学与工程前沿（英文）》 2023年 第17卷 第2期 doi: 10.1007/s11783-023-1622-3

摘要：

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

关键词： Short-term water demand forecasting     Long-short term memory neural network     Convolutional Neural Network     Wavelet multi-resolution analysis     Data-driven models    

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Natural ecological water demand in the lower Heihe River

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

《环境科学与工程前沿（英文）》 2008年 第2卷 第1期   页码 63-68 doi: 10.1007/s11783-008-0022-z

摘要： The ecological environment in the lower Heihe River has been deteriorating due to large water consumption in the upper and middle reaches, and less available water downstream. To restore the ecological environment in the lower Heihe River, the ecological water demand should be guaranteed. The natural vegetation area in the lower Heihe River was first obtained through the interpretation of remote sensing images taken in 1998. Based on the analysis for the Quota of the natural ecological water demand in the lower Heihe River and the determination of the natural ecological water demand calculation method, the ecological water demand in the lower Heihe River was calculated. Finally, the natural ecological water demand in the lower Heihe River under the current situation was calculated with the groundwater storage volume change method, Aweliyongrufe method and the measured water volume method. In 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

《环境科学与工程前沿（英文）》 2014年 第8卷 第5期   页码 757-766 doi: 10.1007/s11783-013-0603-3

摘要： 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 among residents in Nanjing, China. Two sets of variables were examined as potential influences: building features and household socio-economic characteristics. Results suggest that building features such as gas availability and building structures, and household characteristics such as household head’s education degree and energy-conserving sense are crucial determinants in choosing natural gas as water heater energy. Installation permission for solar water heater, building stories, and residential location serve as determining factors in choosing solar water heaters. Based on these, barriers and opportunities are discussed for transitions toward cleaner water heating energies, and suggestions are given for local governments to promote cleaner energy replacement in China.

关键词： 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,

《环境科学与工程前沿（英文）》 2010年 第4卷 第1期   页码 65-72 doi: 10.1007/s11783-010-0010-y

摘要： This study presents a phenomenological model that can be used by the water professionals to quantify chlorine decay and disinfection byproduct (DBP) formation in water. The kinetic model was developed by introducing the concept of limiting chlorine demand and extending an established reactive species approach. The limiting chlorine demand, which quantifies chlorine reactive natural organic matter (NOM) on an equivalent basis, was mathematically defined by the relation between ultimate chlorine residue and initial chlorine dose. It was found experimentally that NOM in water has limiting chlorine demand that increases with chlorine dose once the ultimate residue is established. These results indicated that the complex NOM has a unique ability to adjust chemically to the change in redox condition caused by the free chlorine. It is attributed mainly to the redundant functional groups that persist in heterogeneous NOM molecules. The results also demonstrated that the effect of chlorine dose on the rate of chlorine decay can be quantitatively interpreted with the limiting chlorine demand. The kinetic model developed was validated for chlorine decay and chloroacetic acid formation in finished drinking water.

关键词： 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

《化学科学与工程前沿（英文）》 2016年 第10卷 第1期   页码 120-130 doi: 10.1007/s11705-016-1559-1

摘要： This paper presents a novel synthesis method for designing integrated processes for oil-in-water (O/W) emulsions treatment. General superstructure involving alternative separation technologies is developed and modelled as a mixed integer linear programming (MILP) model for maximum annual profit. Separation processes in the superstructure are divided into three main sections of which the pretreatment and final treatment are limited to the selection of one alternative (or bypass) only, while within the intermediate section various combinations of different technologies in series can be selected. Integrated processes composed of selected separation techniques for given ranges of input chemical oxygen demand (COD) can be proposed by applying parametric analyses within the superstructure approach. This approach has been applied to an existing industrial case study for deriving optimal combinations of technologies for treating diverse oil-in-water emulsions within the range of input COD values between 1000 mg?L and 145000 mg?L . The optimal solution represents a flexible and profitable process for reducing the COD values below maximal allowable limits for discharging effluent into surface water.

关键词： 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

《工程管理前沿（英文）》   页码 551-565 doi: 10.1007/s42524-023-0279-8

摘要： Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSS and the planning for a new BSS. While researchers have mainly focused on improving prediction accuracy and analysing demand-influencing factors, there are few studies examining the inherent randomness of stations’ observed demands and to what degree the demands at individual stations are predictable. Using Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified the station-level predictability. Additionally, to verify that these predictability measures could represent the performance of prediction models, we implemented two commonly used demand prediction models to compare the empirical prediction accuracy with the calculated entropy and predictability. Furthermore, we explored how city- and system-specific temporally-constant features would impact entropy and predictability to inform estimating these measures when historical demand data are unavailable. Our results show that entropy of demands across stations is polarized as some stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demand uncertainty (a high entropy of around 1.0). We also validated that the entropy and predictability are a priori model-free indicators for prediction error, given a sequence of bike usage demands. Lastly, we identified that key factors contributing to station-level entropy and predictability include per capita income, spatial eccentricity, and the number of parking lots near the station. Findings from this study provide more fundamental understanding of BSS demand prediction, which can help decision makers and system operators anticipate diverse station-level prediction errors from their prediction models both for existing stations and for new ones.

关键词： bike share systems     demand prediction     prediction errors     machine learning     entropy    

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Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

《能源前沿（英文）》 2014年 第8卷 第1期   页码 31-40 doi: 10.1007/s11708-014-0296-8

摘要： This paper applies time series methodologies to examine the causal relationship among electricity demand, real per capita GDP and total labor force for Italy from 1970 to 2009. After a brief introduction, a survey of the economic literature on this issue is reported, before discussing the data and introducing the econometric techniques used. The results of estimation indicate that one cointegrating relationship exists among these variables. This equilibrium relation implies that, in the long-run, GDP and labor force are correlated negatively, as well as GDP and electricity. Moreover, 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 the Italian case. The forecast error variance decomposition shows that forecast errors in real per capita GDP are mainly caused by the uncertainty in GDP itself, while forecast errors in labor force are mainly resulted from the labor force itself, although aggregate income and electricity are important, too.

关键词： energy policies     electricity demand     GDP     labor force     stationarity     structural breaks     cointegration     causality     Italy    

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南水北调东线工程黄河以北线路优化构想

赵勇,何凡,王庆明,何国华

《中国工程科学》 2022年 第24卷 第5期   页码 107-115 doi: 10.15302/J-SSCAE-2022.05.013

摘要：

《南水北调工程总体规划》批复近20 年来，我国北方地区水资源供需情势、水生态环境问题均发生深刻变化；优化南水北调后续工程线路，对适应北方地区新发展形势、落实国家重大战略具有重要意义。京津冀地区是南水北调东线后续工程的主要受水区，分析本地区的中长期供求趋势、空间分布及结构特征，可以发现：从长远供求趋势看，京津冀地区水资源缺口为3.9×109~6×109 m3，用水需求的增长点主要是中西部城市区，也是雄安新区等国家战略布局实施的重点保障区域；充分利用现有河渠，新增经白洋淀进京路线，将供水中心西移，使工程线路更侧重覆盖地下水浅层超采区，也更利于补给河湖生态用水；东线后续工程经白洋淀进京方案具有串联水系多、自流覆盖广、调蓄能力强、综合效益高等比较优势，更适应京津冀地区高质量发展的需求。结合南水北调东线后续工程规划建设面临的新形势，梳理工程的功能定位、整体布局、线路走向等关键问题，提出东线后续工程线路优化构想，可为南水北调后续工程高质量发展提供参考。

关键词： 南水北调工程     京津冀     白洋淀     水资源供需     双线格局    

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Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

《能源前沿（英文）》 2010年 第4卷 第4期   页码 459-468 doi: 10.1007/s11708-010-0119-5

摘要： An assessment of the energy demand and the potential for sector-based emission reductions will provide necessary background information for policy makers. In this paper, Beijing was selected as a special case for analysis in order to assess the energy demand and potential of CO abatement in the urban transport system of China. A mathematical model was developed to generate three scenarios for the urban transport system of Beijing from 2010 to 2030. The best pattern was identified by comparing the three different scenarios and assessing their urban traffic patterns through cost information. Results show that in the high motorization-oriented pattern scenario, total energy demand is about 13.94% higher, and the average CO abatement per year is 3.38 million tons less than in the reference scenario. On the other hand, in the bus and rail transit-oriented scenario, total energy demand is about 11.57% less, and the average CO abatement is 2.8 million tons more than in the reference scenario. Thus, Beijing cannot and should not follow the American pattern of high motorization-oriented transport system but learn from the experience of developed cities of Europe and East Asia.

关键词： 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

《能源前沿（英文）》 2019年 第13卷 第4期   页码 715-730 doi: 10.1007/s11708-018-0538-2

摘要： In the present scenario, the utilities are focusing on smart grid technologies to achieve reliable and profitable grid operation. Demand side management (DSM) is one of such smart grid technologies which motivate end users to actively participate in the electricity market by providing incentives. Consumers are expected to respond (demand response (DR)) in various ways to attain these benefits. Nowadays, residential consumers are interested in energy storage devices such as battery to reduce power consumption from the utility during peak intervals. In this paper, the use of a smart residential energy management system (SREMS) is demonstrated at the consumer premise to reduce the total electricity bill by optimally time scheduling the operation of household appliances. Further, the SREMS effectively utilizes the battery by scheduling the mode of operation of the battery (charging/floating/discharging) and the amount of power exchange from the battery while considering the variations in consumer demand and utility parameters such as electricity price and consumer consumption limit (CCL). The SREMS framework is implemented in Matlab and the case study results show significant yields for the end user.

关键词： 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

《能源前沿（英文）》 2022年 第16卷 第1期   页码 64-73 doi: 10.1007/s11708-021-0732-5

摘要： More flexibility is desirable with the proliferation of variable renewable resources for balancing supply and demand in power systems. Thermostatically controlled loads (TCLs) attract tremendous attentions because of their specific thermal inertia capability in demand response (DR) programs. To effectively manage numerous and distributed TCLs, intermediate coordinators, e.g., aggregators, as a bridge between end users and dispatch operators are required to model and control TCLs for serving the grid. Specifically, intermediate coordinators get the access to fundamental models and response modes of TCLs, make control strategies, and distribute control signals to TCLs according the requirements of dispatch operators. On the other hand, intermediate coordinators also provide dispatch models that characterize the external characteristics of TCLs to dispatch operators for scheduling different resources. In this paper, the bottom-up key technologies of TCLs in DR programs based on the current research have been reviewed and compared, including fundamental models, response modes, control strategies, dispatch models and dispatch strategies of TCLs, as well as challenges and opportunities in future work.

关键词： 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

《工程管理前沿（英文）》 2017年 第4卷 第4期   页码 388-398 doi: 10.15302/J-FEM-2017046

摘要： Travel time reliability is of increasing importance for travelers, shippers, and transportation managers because traffic congestion has become worse in major urban areas in recent years. To better evaluate the urban network-wide travel time reliability, five indices based on the emerging on-demand ride service data are proposed: network free flow time rate (NFFTR), network travel time rate (NTTR), network planning time rate (NPTR), network buffer time rate (NBTR), and network buffer time rate index (NBTRI). These indices take into account the probability distribution of the travel time rate (i.e., travel time spent for the unit distance, in min/km) of each origin-destination (OD) pair in the road network. We use real-world data extracted from DiDi-Chuxing, which is the largest on-demand ride service platform in China. For demonstrative purposes, the network-wide travel time reliability of Beijing is analyzed in detail from two dimensions of time and space. The results show that the road network is more unreliable in AM/PM peaks than other time periods, and the most reliable time period is the early morning. Additionally, we can find that the central region is more unreliable than other regions of the city based on the spatial analysis results. The proposed network travel time reliability indices provide insights for the comprehensive evaluation of the road network traffic dynamics and day-to-day travel time variations.

关键词： 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

《环境科学与工程前沿（英文）》 2023年 第17卷 第8期 doi: 10.1007/s11783-023-1698-9

摘要：

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

关键词： Chemical oxygen demand     Mining-beneficiation wastewater treatment     Particle swarm optimization     Support vector regression     Artificial neural network    

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标题 作者 时间 类型 操作

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

Shouke WEI, Shafi Noor ISLAM, Alin LEI,

期刊论文

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

期刊论文

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

期刊论文

Natural ecological water demand in the lower Heihe River

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

期刊论文

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

Lingyun ZHU,Beibei LIU,Jun BI

期刊论文

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

Wenjun LIU, Shaoying QI,

期刊论文

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

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

期刊论文

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

期刊论文

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

期刊论文

南水北调东线工程黄河以北线路优化构想

赵勇,何凡,王庆明,何国华

期刊论文

Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

期刊论文

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

S. L. ARUN, M. P. SELVAN

期刊论文

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

Meng SONG, Wei SUN

期刊论文

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

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

期刊论文

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

期刊论文