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An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit

Zunaira Asif, Zhi Chen

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 5, doi: 10.1007/s11783-019-1156-x

Abstract: Air Pollution Control model is developed for open-pit metal mines. Model will aid decision makers to select a cost-effective solution. Open-pit metal mines contribute toward air pollution and without effective control techniques manifests the risk of violation of environmental guidelines. This paper establishes a stochastic approach to conceptualize the air pollution control model to attain a sustainable solution. The model is formulated for decision makers to select the least costly treatment method using linear programming with a defined objective function and multi-constraints. Furthermore, an integrated fuzzy based risk assessment approach is applied to examine uncertainties and evaluate an ambient air quality systematically. The applicability of the optimized model is explored through an open-pit metal mine case study, in North America. This method also incorporates the meteorological data as input to accommodate the local conditions. The uncertainties in the inputs, and predicted concentration are accomplished by probabilistic analysis using Monte Carlo simulation method. The output results are obtained to select the cost-effective pollution control technologies for PM2.5, PM10, NOx, SO2 and greenhouse gases. The risk level is divided into three types (loose, medium and strict) using a triangular fuzzy membership approach based on different environmental guidelines. Fuzzy logic is then used to identify environmental risk through stochastic simulated cumulative distribution functions of pollutant concentration. Thus, an integrated modeling approach can be used as a decision tool for decision makers to select the cost-effective technology to control air pollution.

Keywords： Air pollution     Decision analysis     Linear programming     Mining     Optimization     Fuzzy     Monte Carlo    

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Robust topology optimization of multi-material lattice structures under material and load uncertainties

Yu-Chin CHAN, Kohei SHINTANI, Wei CHEN

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 141-152 doi: 10.1007/s11465-019-0531-4

Abstract: This work proposes a density-based robust topology optimization method for meso- or macro-scale multi-materiallattice structures under any combination of material and load uncertainties.materials, and employs univariate dimension reduction and Gauss-type quadrature to quantify and propagate uncertaintyExamples of a cantilever beam lattice structure under various material and load uncertainty cases exhibit

Keywords： robust topology optimization     lattice structures     multi-material     material uncertainty     load uncertainty    

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Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 852-862 doi: 10.1007/s11709-019-0522-x

Abstract: As classical procedures of probabilistic-based optimization under uncertainties, such as RDO and reliability-basedThis leads to a bi-level optimization program where the volume of the dam is optimized under the worstThe optimization of an arch-type dam is realized here by a robust optimization method under load uncertaintyThe load uncertainty is modeled as an ellipsoidal expression.offers a solution candidate close to limit-states, the RDO method provides a robust solution against uncertainty

Keywords： arch dam     shape optimization     robust optimization     load uncertainty     approximation model    

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Real option-based optimization for financial incentive allocation in infrastructure projects under public–private

Shuai LI, Da HU, Jiannan CAI, Hubo CAI

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 413-425 doi: 10.1007/s42524-019-0045-0

Abstract: Financial incentives that stimulate energy investments under public–private partnerships are consideredambiguity in the evolution of social benefits, the decision-maker’s attitude toward ambiguity, and the uncertaintycase study is presented to illustrate how the limited financial incentives can be optimally allocated underuncertainty and ambiguity, which demonstrates the efficacy of the proposed method.

Keywords： financial incentives     public–private partnerships     energy infrastructure projects     real option     optimization     uncertainty    

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Risk analysis methods of the water resources system under uncertainty

Zeying GUI,Chenglong ZHANG,Mo Li,Ping GUO

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 3,   Pages 205-215 doi: 10.15302/J-FASE-2015073

Abstract: The main characteristic of the water resources system (WRS) is its great complexity and uncertainty,In this paper the inherent stochastic uncertainty and cognitive subjective uncertainty of the WRS areare introduced, including three criteria (reliability, resiliency and vulnerability) and five basic optimizationchance-constrained risk model, minimizing probability of risk events model, and the multi-objective optimizationFinally, this paper focuses on the various methods of risk analysis under uncertainty, which are summarized

Keywords： water resources system     evaluation criterion     optimization model     risk analysis method     uncertainty    

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Energy systems engineering: methodologies and applications

Pei LIU, Efstratios N. PISTIKOPOULOS, Zheng LI

Frontiers in Energy 2010, Volume 4, Issue 2,   Pages 131-142 doi: 10.1007/s11708-010-0035-8

Abstract: systems engineering, covering superstructure based modelling, mixed-integer programming, multi-objective optimization, optimization under uncertainty, and life-cycle assessment.

Keywords： energy systems engineering     superstructure     mixed-integer programming     multi-objective optimization     optimizationunder uncertainty     life-cycle assessment    

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Probabilistic seismic response and uncertainty analysis of continuous bridges under near-fault ground

Hai-Bin MA, Wei-Dong ZHUO, Davide LAVORATO, Camillo NUTI, Gabriele FIORENTINO, Giuseppe Carlo MARANO, Rita GRECO, Bruno BRISEGHELLA

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6,   Pages 1510-1519 doi: 10.1007/s11709-019-0577-8

Abstract: series of nonlinear dynamic time-history analysis of the bridge at three different site conditions underOn this basis, the uncertainty analysis is conducted with the key sources of uncertainty during the finiteAll the results are quantified by the “swing” base on the specific distribution range of each uncertaintyprobabilistic seismic demand model; damping ratio, pier diameter and concrete strength are the main uncertainty

Keywords： continuous bridge     probabilistic seismic demand model     Intensity Measure     near-fault     uncertainty    

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A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 198-210 doi: 10.1007/s11708-023-0874-8

Abstract: variables or accurate predictive approaches, a lightweight solution was used to make real-time decisions undermicrogrid to reduce the operating cost by determining the best electricity purchase timing for each task under

Keywords： energy management systems     demand response     scheduling under uncertainty     renewable energy sources     multiple-choice    

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An uncertain energy planning model under carbon taxes

Hongkuan ZANG, Yi XU, Wei LI, Guohe HUANG, Dan LIU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4,   Pages 549-558 doi: 10.1007/s11783-012-0414-y

Abstract: In this study, an interval fuzzy mixed-integer energy planning model (IFMI-EPM) is developed under considering

Keywords： energy     carbon tax     planning     uncertainty     fuzzy    

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Review of stochastic optimization methods for smart grid

S. Surender REDDY, Vuddanti SANDEEP, Chan-Mook JUNG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 197-209 doi: 10.1007/s11708-017-0457-7

Abstract: This review of different optimization techniques will be helpful for smart grid development including

Keywords： renewable energy sources     stochastic optimization     smart grid     uncertainty     optimal power flow (OPF)    

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Reliability Topology Optimization of Collaborative Design for Complex Products Under Uncertainties Based

Zhaoxi Hong,Xiangyu Jiang,Yixiong Feng,Qinyu Tian,Jianrong Tan

Engineering 2023, Volume 22, Issue 3,   Pages 71-81 doi: 10.1016/j.eng.2021.06.027

Abstract:

The topology optimization design of complex products can significantly improve material and powerWe propose a new reliability topology optimization method based on the reliability-and-optimization decoupledmodel and teaching-learning-based optimization (TLBO) algorithm.The reliability optimization under certain uncertainties and structural topology optimization are processedThen, the complex nesting of the uncertainty reliability analysis and topology optimization are decoupled

Keywords： Plates structure     Reliability Collaborative topology optimization     Teaching–learning-based optimizationalgorithm     Uncertainty     Collaborative design for product life cycle    

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Multiresolution and multimaterial topology optimization of fail-safe structures under B-spline spaces

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11465-023-0768-9

Abstract: This study proposes a B-spline-based multiresolution and multimaterial topology optimization (TO) design

Keywords： multiresolution     multimaterial     topology optimization     fail-safe structure     B-spline    

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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: However, the uncertainty of RES poses challenges to the safe and stable operation of DCs and power gridsfor interconnected data centers (IDCs) based on model predictive control (MPC), including day-ahead optimization, intraday rolling optimization, and intraday real-time correction.The day-ahead optimization stage aims at the lowest operating cost, the rolling optimization stage aimspower fluctuation, eliminating the impact of prediction errors through coordinated multi-timescale optimization

Keywords： interconnected data center     multi-timescale     optimized scheduling     distributed power supply     landscape uncertainty    

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Robust topology optimization of hinge-free compliant mechanisms with material uncertainties based on

Junjie ZHAN, Yangjun LUO

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 201-212 doi: 10.1007/s11465-019-0529-y

Abstract: This paper presents a new robust topology optimization framework for hinge-free compliant mechanismsRobust topology optimization of compliant mechanisms is then defined to minimize the variation in outputdisplacement under constraints of the mean displacement and predefined material volume.The nest optimization problem is solved using a gradient-based optimization algorithm.presented to illustrate the effectiveness of the proposed method for circumventing hinges in topology optimization

Keywords： compliant mechanisms     robust topology optimization     hinges     uncertainty     bounded field    

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MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 186-200 doi: 10.1007/s11708-019-0644-9

Abstract: In this paper, interval number optimization and model predictive control are proposed to handle the uncertain-but-boundedday-ahead load scheduling problem with uncertain parameters is formulated, and solved by interval number optimizationSimulation results demonstrate that interval number optimization either in day-ahead optimization or

Keywords： electric water heater     load scheduling     interval number optimization     model predictive control     uncertainty    

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Title Author Date Type Operation

An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit

Zunaira Asif, Zhi Chen

Journal Article

Robust topology optimization of multi-material lattice structures under material and load uncertainties

Yu-Chin CHAN, Kohei SHINTANI, Wei CHEN

Journal Article

Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Journal Article

Real option-based optimization for financial incentive allocation in infrastructure projects under public–private

Shuai LI, Da HU, Jiannan CAI, Hubo CAI

Journal Article

Risk analysis methods of the water resources system under uncertainty

Zeying GUI,Chenglong ZHANG,Mo Li,Ping GUO

Journal Article

Energy systems engineering: methodologies and applications

Pei LIU, Efstratios N. PISTIKOPOULOS, Zheng LI

Journal Article

Probabilistic seismic response and uncertainty analysis of continuous bridges under near-fault ground

Hai-Bin MA, Wei-Dong ZHUO, Davide LAVORATO, Camillo NUTI, Gabriele FIORENTINO, Giuseppe Carlo MARANO, Rita GRECO, Bruno BRISEGHELLA

Journal Article

A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

Journal Article

An uncertain energy planning model under carbon taxes

Hongkuan ZANG, Yi XU, Wei LI, Guohe HUANG, Dan LIU

Journal Article

Review of stochastic optimization methods for smart grid

S. Surender REDDY, Vuddanti SANDEEP, Chan-Mook JUNG

Journal Article

Reliability Topology Optimization of Collaborative Design for Complex Products Under Uncertainties Based

Zhaoxi Hong,Xiangyu Jiang,Yixiong Feng,Qinyu Tian,Jianrong Tan

Journal Article

Multiresolution and multimaterial topology optimization of fail-safe structures under B-spline spaces

Journal Article

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article

Robust topology optimization of hinge-free compliant mechanisms with material uncertainties based on

Junjie ZHAN, Yangjun LUO

Journal Article

MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

Journal Article