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A review of optimization modeling and solution methods in renewable energy systems

Frontiers of Engineering Management   Pages 640-671 doi: 10.1007/s42524-023-0271-3

Abstract: Among the frequently proposed approaches, employing optimization models to facilitate decision-makingproblems, models, and solution methods thereof throughout the renewable energy development and utilizationframework prevalent in extant research solutions entails the dissection and linearization of established modelsIn the realm of algorithmic solutions for RES optimization models, a pronounced focus is anticipatedmodels conducive to enhancing the efficiency of REDUC development endeavors.

Keywords： renewable energy system     bibliometrics     mathematical programming     optimization models     solution methods    

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Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 2,   Pages 177-187 doi: 10.15302/J-FASE-2017177

Abstract: basis, an inexact two-stage stochastic programming (ITSP) model is used for crop planting structure optimizationsystem, in which the UMLR model for runoff forecasting and the ITSP model for crop planting structure optimization

Keywords： crop planting structure optimization     inexact two-stage stochastic programming     runoff forecasting     Shiyang    

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Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 284-305 doi: 10.1007/s11709-022-0901-6

Abstract: current research gaps include the limitations of samples in databases, the applicability constraints of modelsowing to limited mixture components, and the possibility of applying recently proposed models.This study developed different ML models for predicting the CS of FRSCC to address these limitations.Artificial neural network, random forest, and categorical gradient boosting (CatBoost) models were optimizedThe findings indicated that CatBoost outperformed the other two models with excellent predictive abilities

Keywords： compressive strength     self-compacting concrete     artificial neural network     decision tree     CatBoost    

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Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 1,   Pages 34-45 doi: 10.15302/J-FASE-2016084

Abstract: Crop planting structure optimization is a significant way to increase agricultural economic benefitsmodels for crop planting structure which consider uncertainty and multi-objectives elements.In this study, three single-objective programming models under uncertainty for crop planting structureEach of the three models takes grayness into account.crop planting structure optimization systems.

Keywords： crop planting structure     optimization model     uncertainty     multi-objective    

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Nodal, zonal, or uniform electricity pricing: how to deal with network congestion

Martin WEIBELZAHL

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 210-232 doi: 10.1007/s11708-017-0460-z

Abstract: In this paper, the main contributions to congestion management and electricity pricing, i.e., nodal, zonal, and uniform electricity pricing, are surveyed. The key electricity market concepts are structured and a formal model framework is proposed for electricity transportation, production, and consumption in the context of limited transmission networks and competitive, welfare maximizing electricity markets. In addition, the main results of existing short-run and long-run congestion management studies are explicitly summarized. In particular, the important interconnection between short-run network management approaches and optimal long-run investments in both generation facilities and network lines are highlighted.

Keywords： pricing     zonal pricing     uniform pricing     competitive electricity markets     welfare maximization     redispatch     optimizationmodels    

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Study on the Modern Building Models & Optimum Technique——Application of Water Saving System for Well

Fu Qiang

Strategic Study of CAE 2002, Volume 4, Issue 6,   Pages 44-55

Abstract: Through applying modern building models and optimization technique, the author analyzes the mechanismand theory of each subsystem, some mathematical models about groundwater, sunning water pool, channel

Keywords： building models     optimization     Sanjiang Plain     well irrigation rice     system    

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A review on different theoretical models of electrocaloric effect for refrigeration

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 478-503 doi: 10.1007/s11708-023-0884-6

Abstract: This paper reviews the electrocaloric effect of ferroelectric materials based on different theoretical models

Keywords： electrocaloric effect     effective Hamiltonian     phase-field modeling     different theoretical models    

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Study on Fuzzy Multi-objective SCE－UA Optimization Methodfor Rainfall-Runoff Models

Li Xiangyang,Cheng Chuntian,Wu Xinyu,Lin Jianyi

Strategic Study of CAE 2007, Volume 9, Issue 3,   Pages 52-57

Abstract:

Practical experience with the calibration of hydrologic models suggestsIn this paper, a fuzzy multi-objective SCE-UA(FMOSCE-UA) optimization method for rainfall-runoff modelswhich combines advantages of Pareto ranking and fuzzy multi-objective optimization is developed to solvethe multi-objective optimization problem for hydrologic models.

Keywords： rainfall-runoff model     calibration     fuzzy multi-objective optimization     SCE-UA    

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Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 6,   Pages 803-814 doi: 10.1007/s11783-013-0547-7

Abstract: Quantitative structure-activity relationship (QSAR) models that relate photodegradation kinetics or photoinducedThis paper reviews the QSAR models on photodegradation quantum yields and rate constants for toxic organicchemicals in different media including liquid phase, gaseous phase, surfaces of plant leaves, and QSAR models

Keywords： quantitative structure-activity relationship (QSAR) models     photodegradation     persistent organic pollutants    

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Comprehensive performance development of Geely self-owned models and CAE synergy optimization technologies

Men Yongxin,Tang Hui,Peng Hong,Zhu Zhenying and Yan Yonggui

Strategic Study of CAE 2014, Volume 16, Issue 1,   Pages 23-35

Abstract: research and development process of Geely automobile，the parametric flex technology and multisystem optimizationmethod are introduced to perform prediction and optimization in automobile crash，noise vibration harshnessperformance and design efficiency，and realize high-efficient development of Geely self-owned brand models

Keywords： self-owned brand     comprehensive performance     CAE     simulation optimization     high-efficient development    

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Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 38-48 doi: 10.1007/s11709-018-0479-1

Abstract: This study includes: (a) evaluation and comparison of the existing analytical models to estimating theIn addition, a wide range of experimental databases and empirical models to estimate the MOE from compressiveThe results show underestimation of MOE of conventional concrete in majority of the existing models.considering the consistency between density and mechanical properties of concrete, the predicted MOE in the models

Keywords： modulus of elasticity     normal strength normal weight concrete     empirical models     design codes     compressive    

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Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized neural network as surrogate model

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 378-395 doi: 10.1007/s11709-022-0899-9

Abstract: This paper presents a combined method based on optimized neural networks and optimization algorithmsto solve structural optimization problems.Subsequently, the main optimization problem is solved using the OANN and a population-based algorithmThe algorithms considered in this step are the arithmetic optimization algorithm (AOA) and genetic algorithmshow that both the OANN + GA + PS and OANN + AOA + PS algorithms perform well in solving structural optimization

Keywords： optimization     surrogate models     artificial neural network     SAP2000     genetic algorithm    

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Managing economic and social profit of cooperative models in three-echelon reverse supply chain for waste

Jian Li, Zhen Wang, Bao Jiang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 5, doi: 10.1007/s11783-017-0999-2

Abstract: The paper investigates cooperative models with different parties in a three-echelon reverse supply chainIn addition, the optimal decisions of four cooperative models and the effect of the market demand of

Keywords： electrical and electronic equipment (WEEE)     Reverse supply chains     Recycle quantity     Social benefit     Cooperative models    

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Optimal Antibody Purification Strategies Using Data-Driven Models Article

Songsong Liu, Lazaros G. Papageorgiou

Engineering 2019, Volume 5, Issue 6,   Pages 1077-1092 doi: 10.1016/j.eng.2019.10.011

Abstract:

This work addresses the multiscale optimization of the purification processes of antibody fragmentsData-driven models of chromatography throughput are developed considering loaded mass, flow velocity,Two alternative mixed-integer nonlinear programming (MINLP) models are proposed to minimize the totalcost of goods per gram of the antibody purification process, incorporating the data-driven models.These MINLP models are then reformulated as mixed-integer linear programming (MILP) models using linearization

Keywords： Antibody purification     Multiscale optimization     Antigen-binding fragment     Mixed-integer programming    

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Impact analytical models for earthquake-induced pounding simulation

Kun YE, Li LI

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 142-147 doi: 10.1007/s11709-009-0029-y

Abstract: pounding under earthquake has been recently extensively investigated using various impact analytical modelsIn this paper, a brief review on the commonly used impact analytical models is conducted.

Keywords： structural pounding     Hertz model     Kelvin model     nonlinear damping     coefficient of restitution    

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Title Author Date Type Operation

A review of optimization modeling and solution methods in renewable energy systems

Journal Article

Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO

Journal Article

Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting

Journal Article

Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Journal Article

Nodal, zonal, or uniform electricity pricing: how to deal with network congestion

Martin WEIBELZAHL

Journal Article

Study on the Modern Building Models & Optimum Technique——Application of Water Saving System for Well

Fu Qiang

Journal Article

A review on different theoretical models of electrocaloric effect for refrigeration

Journal Article

Study on Fuzzy Multi-objective SCE－UA Optimization Methodfor Rainfall-Runoff Models

Li Xiangyang,Cheng Chuntian,Wu Xinyu,Lin Jianyi

Journal Article

Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Journal Article

Comprehensive performance development of Geely self-owned models and CAE synergy optimization technologies

Men Yongxin,Tang Hui,Peng Hong,Zhu Zhenying and Yan Yonggui

Journal Article

Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Journal Article

Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized neural network as surrogate model

Journal Article

Managing economic and social profit of cooperative models in three-echelon reverse supply chain for waste

Jian Li, Zhen Wang, Bao Jiang

Journal Article

Optimal Antibody Purification Strategies Using Data-Driven Models

Songsong Liu, Lazaros G. Papageorgiou

Journal Article

Impact analytical models for earthquake-induced pounding simulation

Kun YE, Li LI

Journal Article