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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: The advancement of renewable energy (RE) represents a pivotal strategy in mitigating climate change and advancing energy transition efforts. A current of research pertains to strategies for fostering RE growth. Among the frequently proposed approaches, employing optimization models to facilitate decision-making stands out prominently. Drawing from an extensive dataset comprising 32806 literature entries encompassing the optimization of renewable energy systems (RES) from 1990 to 2023 within the Web of Science database, this study reviews the decision-making optimization problems, models, and solution methods thereof throughout the renewable energy development and utilization chain (REDUC) process. This review also endeavors to structure and assess the contextual landscape of RES optimization modeling research. As evidenced by the literature review, optimization modeling effectively resolves decision-making predicaments spanning RE investment, construction, operation and maintenance, and scheduling. Predominantly, a hybrid model that combines prediction, optimization, simulation, and assessment methodologies emerges as the favored approach for optimizing RES-related decisions. The primary framework prevalent in extant research solutions entails the dissection and linearization of established models, in combination with hybrid analytical strategies and artificial intelligence algorithms. Noteworthy advancements within modeling encompass domains such as uncertainty, multienergy carrier considerations, and the refinement of spatiotemporal resolution. In the realm of algorithmic solutions for RES optimization models, a pronounced focus is anticipated on the convergence of analytical techniques with artificial intelligence-driven optimization. Furthermore, this study serves to facilitate a comprehensive understanding of research trajectories and existing gaps, expediting the identification of pertinent optimization models conducive to enhancing the efficiency of REDUC development endeavors.

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

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Mathematical model and manufacture programming of loxodromic-type normal circular-arc spiral bevel gear

Zhenyun DUAN, Houjun CHEN, Zhilan JU, Jian LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3,   Pages 312-321 doi: 10.1007/s11465-012-0308-5

Abstract: Based on the principle of molding-surface conjugation, the study develops a mathematical model for the

Keywords： loxodrome     circular-arc tooth profile     Wildhaber-Novikov (W-N) gear     spiral bevel gear    

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Application of Genetic Algorithm in the Optimization of Parameters in Engineering Blasting

Xu Hongtao,Lu Wenbo

Strategic Study of CAE 2005, Volume 7, Issue 1,   Pages 76-80

Abstract:

The optimization of blasting parameters in engineering blasting is a complicated nonlinear programmingBased on the mathematical model of blasting optimization in open pit mine, the optimization problem is

Keywords： engineering blasting     mining     optimization     mathematical model     nonlinear programming     genetic algorithm    

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Smoothing ramp events in wind farm based on dynamic programming in energy internet

Jiang LI, Guodong LIU, Shuo ZHANG

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 550-559 doi: 10.1007/s11708-018-0593-8

Abstract: This paper proposes a dynamic programming method in smoothing ramp events.Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programmingproblem, and the dynamic programming method proposed is applied to solve the optimization problem.The results show that the dynamic programming method proposed is effective for smoothing wind power and

Keywords： energy internet     wind power     ramp events     dynamic programming    

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Mathematical Reasoning Challenges Artificial Intelligence

Sean O’Neill

Engineering 2019, Volume 5, Issue 5,   Pages 817-818 doi: 10.1016/j.eng.2019.08.009

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CNC programming system for complex components based on KBE within integrated environment of CAD/CAPP/

Shengwen ZHANG, Guicheng WANG, Liang ZHANG, Xifeng FANG

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 97-102 doi: 10.1007/s11465-009-0007-z

Abstract: intelligent manufacturing technology and overcome shortcomings of computerized numerical control(CNC) programmingThis paper constructs the architecture of CNC programming based on KBE within CAD/CAPP/CAM and exploresthe key technology of applying KBE to CNC programming — knowledge representation, knowledge acquisition, knowledge reasoning, and generalized knowledge base system of CNC programming.The prototype system of CNC programming for complex components based on KBE within CAD/CAPP/CAM has been

Keywords： NC programming     CAD/CAPP/CAM     KBE    

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Technology and system of constraint programming for industry production scheduling

Yarong CHEN, Zailin GUAN, Yunfang PENG, Xinyu SHAO, Muhammad HASSEB

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 455-464 doi: 10.1007/s11465-010-0106-x

Abstract: The use of techniques and system of constraint programming enables the implementation of precise, flexibletechnology, such as modeling, search, constraint propagation, consistency, and optimization of constraint programming

Keywords： constraint programming     production scheduling     constraint propagation     search     consistency     optimization    

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Two-stage stochastic programming with robust constraints for the logistics network post-disruption response

Frontiers of Engineering Management   Pages 67-81 doi: 10.1007/s42524-022-0240-2

Abstract: post-disruption response strategy optimization problem, this study proposes a novel two-stage stochastic programmingAn equivalent tractable mixed-integer linear programming reformulation is further derived by linearizing

Keywords： logistics network design     post-disruption response strategy     two-stage stochastic programming     conditional    

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Cutting CO emissions through demand side regulation: Implications from multi-regional input–output linear programming

Frontiers of Engineering Management   Pages 452-461 doi: 10.1007/s42524-022-0209-1

Abstract: This study combines multi-regional input–output (MRIO) model with linear programming (LP) model to explore

Keywords： CO2 emissions     demand side regulation     multi-regional input–output model     linear programming    

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Prediction of cutting force in turning of UD-GFRP using mathematical model and simulated annealing

Meenu GUPTA, Surinder Kumar GILL

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 417-426 doi: 10.1007/s11465-012-0343-2

Abstract:

Glass fiber reinforced plastics (GFRPs) composite is considered to be an alternative to heavy exortic materials. According to the need for accurate machining of composites has increased enormously. During machining, the obtaining cutting force is an important aspect. The present investigation deals with the study and development of a cutting force prediction model for the machining of unidirectional glass fiber reinforced plastics (UD-GFRP) composite using regression modeling and optimization by simulated annealing. The process parameters considered include cutting speed, feed rate and depth of cut. The predicted values radial cutting force model is compared with the experimental values. The results of prediction are quite close with the experimental values. The influences of different parameters in machining of UD-GFRP composite have been analyzed.

Keywords： UD-GFRP     ANOVA     radial cutting force     PCD tool     Taguchi method     regression analysis     simulated annealing     multi objective techniques    

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The Forward Recurrent Method for Dynamic Programming

Zhang Zhao,Pei Yanling,Zhang Renbao

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 62-65

Abstract:

Backward recurrent method is usually adopted in seeking optimal solution by dynamic programming.A forward recurrent method to find optimal solution by dynamic programming is presented on the basisThe fundamental equation of dynamic programming and Millton-Jacobi's equation are also derived.It's an exploratory study on optimal solution of dynamic programming.

Keywords： dynamic programming     multi-level decision     functional equation     optimal solution    

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The Mathematical Model for Large-sized Agro-ecological Engineering

Bian Yousheng,Wang Tianxi,Chen Zhenglong,Cui Bin

Strategic Study of CAE 2002, Volume 4, Issue 7,   Pages 17-22

Abstract:

This paper has set up a mathematical model of economic development, which combines the linear programIt has achieved satisfactory results in eight years by means of the mathematical model to guide the economic

Keywords： agro-ecological engineering     mathematical model     Shengli Oil Fields    

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Unit commitment using dynamic programming–an exhaustive working of both classical and stochastic approach

Balasubramaniyan SARAVANAN, Surbhi SIKRI, K. S. SWARUP, D. P. KOTHARI

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 333-341 doi: 10.1007/s11708-013-0259-5

Abstract: There are many conventional and evolutionary programming techniques used for solving the unit commitmentDynamic programming (DP) is a conventional algorithm used to solve the deterministic problem.

Keywords： unit commitment (UC)     deterministic     stochastic     dynamic programming (DP)     optimization     state diagram    

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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: In this study, three single-objective programming models under uncertainty for crop planting structureoptimization were developed, including an interval linear programming model, an inexact fuzzy chance-constrainedprogramming (IFCCP) model and an inexact fuzzy linear programming (IFLP) model.of crop planting structure planning, a fuzzy-optimization-theory-based fuzzy linear multi-objective programmingIn addition, a multi-objective fractional programming model for crop structure optimization was also

Keywords： crop planting structure     optimization model     uncertainty     multi-objective    

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Fuzzy Programming Based Modeling of Production Scheduling of Batch Processes

Zhang Hong,Li Chiqiang

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 65-70

Abstract: for production scheduling, the author proposes a general novel fuzzification method based on fuzzy programming

Keywords： production scheduling     fuzzy programming     batching production processes     membership function    

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Title Author Date Type Operation

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

Journal Article

Mathematical model and manufacture programming of loxodromic-type normal circular-arc spiral bevel gear

Zhenyun DUAN, Houjun CHEN, Zhilan JU, Jian LIU

Journal Article

Application of Genetic Algorithm in the Optimization of Parameters in Engineering Blasting

Xu Hongtao,Lu Wenbo

Journal Article

Smoothing ramp events in wind farm based on dynamic programming in energy internet

Jiang LI, Guodong LIU, Shuo ZHANG

Journal Article

Mathematical Reasoning Challenges Artificial Intelligence

Sean O’Neill

Journal Article

CNC programming system for complex components based on KBE within integrated environment of CAD/CAPP/

Shengwen ZHANG, Guicheng WANG, Liang ZHANG, Xifeng FANG

Journal Article

Technology and system of constraint programming for industry production scheduling

Yarong CHEN, Zailin GUAN, Yunfang PENG, Xinyu SHAO, Muhammad HASSEB

Journal Article

Two-stage stochastic programming with robust constraints for the logistics network post-disruption response

Journal Article

Cutting CO emissions through demand side regulation: Implications from multi-regional input–output linear programming

Journal Article

Prediction of cutting force in turning of UD-GFRP using mathematical model and simulated annealing

Meenu GUPTA, Surinder Kumar GILL

Journal Article

The Forward Recurrent Method for Dynamic Programming

Zhang Zhao,Pei Yanling,Zhang Renbao

Journal Article

The Mathematical Model for Large-sized Agro-ecological Engineering

Bian Yousheng,Wang Tianxi,Chen Zhenglong,Cui Bin

Journal Article

Unit commitment using dynamic programming–an exhaustive working of both classical and stochastic approach

Balasubramaniyan SARAVANAN, Surbhi SIKRI, K. S. SWARUP, D. P. KOTHARI

Journal Article

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

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Journal Article

Fuzzy Programming Based Modeling of Production Scheduling of Batch Processes

Zhang Hong,Li Chiqiang

Journal Article