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Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 128-136 doi: 10.1007/s11783-013-0598-9

Abstract: The prediction of the influent load is of great importance for the improvement of the control systemanalysis method is presented in this paper in order to estimate and predict the periodicity of the influentreconstruction; 2) typical cycle identification using power spectrum density analysis; 3) fitting and predictionday); 2) when the flow rate and NH concentrations present an obvious periodicity, the decreasing of predictionaccuracy is not distinct with increasing of the prediction time scales; 3) the periodicity influence

Keywords： influent load prediction     wavelet de-noising     power spectrum density     autoregressive model     time-frequency    

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Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 3,   Pages 334-338 doi: 10.1007/s11783-007-0057-6

Abstract: By predicting influent quantity, a wastewater treatment plant (WWTP) can be well controlled.The nonlinear dynamic characteristic of WWTP influent quantity time series was analyzed, with the assumptionBased on this, a short-term forecasting chaos neural network model of WWTP influent quantity was built

Keywords： nonlinear     reconstruction     WWTP influent     characteristic     Reasonable forecasting    

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Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 299-310 doi: 10.1007/s11783-015-0825-7

Abstract: The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and four water qualitiesThe influent flow rate was accurately predicted within one standard deviation of measured values.Influent water qualities were well predicted with the mean absolute percentage error (MAPE) under bothFor the seven-day prediction, the difference in predictive accuracy was less than 5% in dry weather conditionsOverall, the k-NN method was verified to be useful for predicting WWTP influent characteristics.

Keywords： influent wastewater     prediction     data-driven model     k-nearest neighbor method (k-NN)    

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Prediction of bed load sediments using different artificial neural network models

Reza ASHEGHI, Seyed Abbas HOSSEINI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 374-386 doi: 10.1007/s11709-019-0600-0

Abstract: Modeling and prediction of bed loads is an important but difficult issue in river engineering.based function (RBF), and generalized feed forward neural network using five dominant parameters of bed load

Keywords： bed load prediction     artificial neural network     modeling     empirical equations    

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An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 76-84 doi: 10.1007/s11465-018-0522-x

Abstract: Reliability is important to design innovation. A new product should be not only innovative, but also reliable. For many existing components used in the new product, their reliability will change because the applied Loads are different from the ones for which the components are originally designed and manufactured. Then the new reliability must be re-evaluated. The system designers of the new product, however, may not have enough information to perform this task. With a beam problem as a case study, this study explores a feasible way to re-evaluate the component reliability with new Loads given the following information: The original reliability of the component with respect to the component Loads and the distributions of the new component Loads. Physics-based methods are employed to build the equivalent component limit-state function that can predict the component failure under the new Loads. Since the information is limited, the re-evaluated component reliability is given by its maximum and minimum values. The case study shows that good accuracy can be obtained even though the new reliability is provided with the aforementioned interval.

Keywords： reliability     component     failure mode     prediction     random variable    

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A method to predict cooling load of large commercial buildings based on weather forecast and internal

Junbao JIA,Jincheng XING,Jihong LING,Ren PENG

Frontiers in Energy 2016, Volume 10, Issue 4,   Pages 459-465 doi: 10.1007/s11708-016-0424-8

Abstract: characteristics of the higher density and randomness, this paper presented an air-conditioning cooling loadprediction method based on weather forecast and internal occupancy density.linear feedback regression model was applied to predict, with precision, the air conditioning cooling loadCase analysis showed that the largest mean relative error of hourly and the daily predicting cooling load

Keywords： commercial building     load prediction     multiple linear regression    

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Influence of influent on anaerobic ammonium oxidation in an Expanded Granular Sludge Bed-Biological Aerated

Daijun ZHANG, Cui BAI, Ting TANG, Qing YANG

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2,   Pages 291-297 doi: 10.1007/s11783-010-0270-6

Abstract: (COD) of 300–1200 mg·L and of 30–120 mg·L at the outer recycle ratio of 200%, the influence of influentcaused an increase in denitrification and methanogenesis but a decrease in ANAMMOX; however, when an influentHigher influent concentration favored ANAMMOX when the COD concentration of influent was fixed.methanogenesis could be dynamically maintained in the sludge of EGSB reactor for a certain range of influent

Keywords： Expanded Granular Sludge Bed-Biological Aerated Filter (EGSB-BAF) integrated system     the influence of influent    

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Characteristic and correlation analysis of influent and energy consumption of wastewater treatment plants

Luxi Zou, Huaibo Li, Shuo Wang, Kaikai Zheng, Yan Wang, Guocheng Du, Ji Li

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 6, doi: 10.1007/s11783-019-1167-7

Abstract: Poor biodegradability and insufficient carbon source are discovered from influent.Influent indices presented positively normal distribution or skewed distribution.Energy consumption increases with the increase in influent volume and COD reduction.The influent BOD5/COD was 0.4%–0.6%, only 39.2% SS/BOD5 exceeded the standard by 36.3%, the average BOD5/TN was 3.82, and the probability of influent BOD5/TP>20 was 82.8%.

Keywords： Taihu Basin     Wastewater treatment plant     Influent characteristics     Energy consumption evaluation     Specific    

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Contact fatigue life prediction of a bevel gear under spectrum loading

Pan JIA, Huaiju LIU, Caichao ZHU, Wei WU, Guocheng LU

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 123-132 doi: 10.1007/s11465-019-0556-8

Abstract: Rolling contact fatigue (RCF) issues, such as pitting, might occur on bevel gears because load fluctuationtypical torque–time history on the driven axle is described, followed by the construction of program load

Keywords： bevel gear     rolling contact fatigue (RCF)     multiaxial fatigue criterion     load spectrum     damage accumulation    

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An Algorithm to compute damage from load in composites

Cyrille F. DUNANT, Stéphane P. A. BORDAS, Pierre KERFRIDEN, Karen L. SCRIVENER, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 2,   Pages 180-193 doi: 10.1007/s11709-011-0107-9

Abstract: We present a new method to model fracture of concrete based on energy minimisation. The concrete is considered on the mesoscale as composite consisting of cement paste, aggregates and micro pores. In this first step, the alkali-silica reaction is taken into account through damage mechanics though the process is more complex involving thermo-hygro-chemo-mechanical reaction. We use a non-local damage model that ensures the well-posedness of the boundary value problem (BVP). In contrast to existing methods, the interactions between degrees of freedom evolve with the damage evolutions. Numerical results are compared to analytical and experimental results and show good agreement.

Keywords： Concrete     damage     prediction     modelling     energy minimisation     ASR    

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Process evaluation of an alternating aerobic-anoxic process applied in a sequencing batch reactor for nitrogen removal

ZENG Wei, PENG Yongzhen, WANG Shuying

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 1,   Pages 28-32 doi: 10.1007/s11783-007-0005-5

Abstract: Under sufficient influent alkalinity, the AAA process did not have an advantage over one aerobicanoxicUnder deficient influent alkalinity, when compared to OAA, the AAA process improved treatment efficiencyIf the lack of alkalinity in the influent was less than 1/3 of that needed, there is no need for externalalkalinity addition and treatment efficiency was the same as that under sufficient influent alkalinityEven if the lack of alkalinity in the influent was more than 1/3 of that needed, the AAA process was

Keywords： bicarbonate alkalinity     sufficient influent     influent alkalinity     detection     alkalinity production    

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Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 472-485 doi: 10.1007/s11708-015-0373-7

Abstract: The composite load is a combination of the static and dynamic load model.To develop this composite load model, the exponential load is used as a static load model and inductionmotors (IMs) are used as a dynamic load model.This aggregate model is used as a dynamic load model.exponential model of static load and for the fifth and third order IM dynamic load model using state

Keywords： isolated hybrid power system (IHPS)     composite load model     static load     dynamic load     induction motor loadmodel     aggregate load    

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Nitrate removal to its fate in wetland mesocosm filled with sponge iron: Impact of influent COD/N ratio

Zhihao Si, Xinshan Song, Xin Cao, Yuhui Wang, Yifei Wang, Yufeng Zhao, Xiaoyan Ge, Awet Arefe Tesfahunegn

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 1, doi: 10.1007/s11783-019-1183-7

Abstract: An increase of the influent COD/N ratio resulted in lower chemical denitrification and higher bio-denitrification

Keywords： Sponge iron     Wetland mesocosm     Electronic donor     Denitrification     COD/N ratio    

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Comparison of optimal capacitor placement methods in radial distribution system with load growth andZIP load model

Veera Venkata Satya Naryana MURTY, Ashwani KUMAR

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 197-213 doi: 10.1007/s11708-013-0249-7

Abstract: Furthermore, the load growth factor has been considered in the study which is essential for the planningand expansion of the existing systems, whereas the impact of the realistic load model as ZIP load model

Keywords： load growth     load models     reactive power compensation     radial distribution system     power loss index (PLI)    

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Calculation method of load distribution on pipe threaded connections under tension load

Shoujun CHEN, Lianxin GAO, Qi AN

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 241-248 doi: 10.1007/s11465-011-0219-x

Abstract:

This paper presents a new calculation method that can calculate the load distribution on pipe threadedconnections under tension load.the new method on the sample of P-110S pipe threaded connection, the obtained results show that the loadThe model offers a new way to calculate the loads carried on the thread teeth under tension load.

Keywords： load distribution     calculation method     pipe threaded connections     tension load    

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Title Author Date Type Operation

Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Journal Article

Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Journal Article

Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Journal Article

Prediction of bed load sediments using different artificial neural network models

Reza ASHEGHI, Seyed Abbas HOSSEINI

Journal Article

An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Journal Article

A method to predict cooling load of large commercial buildings based on weather forecast and internal

Junbao JIA,Jincheng XING,Jihong LING,Ren PENG

Journal Article

Influence of influent on anaerobic ammonium oxidation in an Expanded Granular Sludge Bed-Biological Aerated

Daijun ZHANG, Cui BAI, Ting TANG, Qing YANG

Journal Article

Characteristic and correlation analysis of influent and energy consumption of wastewater treatment plants

Luxi Zou, Huaibo Li, Shuo Wang, Kaikai Zheng, Yan Wang, Guocheng Du, Ji Li

Journal Article

Contact fatigue life prediction of a bevel gear under spectrum loading

Pan JIA, Huaiju LIU, Caichao ZHU, Wei WU, Guocheng LU

Journal Article

An Algorithm to compute damage from load in composites

Cyrille F. DUNANT, Stéphane P. A. BORDAS, Pierre KERFRIDEN, Karen L. SCRIVENER, Timon RABCZUK

Journal Article

Process evaluation of an alternating aerobic-anoxic process applied in a sequencing batch reactor for nitrogen removal

ZENG Wei, PENG Yongzhen, WANG Shuying

Journal Article

Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Journal Article

Nitrate removal to its fate in wetland mesocosm filled with sponge iron: Impact of influent COD/N ratio

Zhihao Si, Xinshan Song, Xin Cao, Yuhui Wang, Yifei Wang, Yufeng Zhao, Xiaoyan Ge, Awet Arefe Tesfahunegn

Journal Article

Comparison of optimal capacitor placement methods in radial distribution system with load growth andZIP load model

Veera Venkata Satya Naryana MURTY, Ashwani KUMAR

Journal Article

Calculation method of load distribution on pipe threaded connections under tension load

Shoujun CHEN, Lianxin GAO, Qi AN

Journal Article