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Optimal design and development of PV-wind-battery based nano-grid system: A field-on-laboratory demonstration

B. TUDU, K. K. MANDAL, N. CHAKRABORTY

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 269-283 doi: 10.1007/s11708-018-0573-z

Abstract: The deployment of the system is envisioned to acculturate the renewable technology into Indian societyInitially, a prefeasibility study is conducted using the well-established HOMER (hybrid optimizationmodel for electric renewable) software developed by the National Renewable Energy Laboratory (NREL),However, the hybrid system consisting of a 2.4 kWp of solar PV, a 3.2 kWp of wind turbine, a 3 kVA ofThis research demonstration provides a pathway for future planning of scaled-up hybrid energy systems

Keywords: photovoltaic (PV)     wind     battery     nano-grid     hybrid optimization model for electric renewable (HOMER)     field-on-lab    

Fuel poverty and low carbon emissions: a comparative study of the feasibility of the hybrid renewable

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 336-356 doi: 10.1007/s11708-021-0748-x

Abstract: The aim of this paper was to identify a grid connected renewable energy system coupled with natural gasFourteen models were designed and optimized with the aid of the HOMER Pro software.A solution was proposed where restrictions were placed on the size of renewable energy components.The renewable fraction is 5.10% and the system yields a carbon saving of 7.9% in comparison with conventional

Keywords: greenhouse gas control     low carbon target     grid connected     renewable fraction     fuel poverty     combinedheat and power     HOMER Pro    

State-of-art review of the optimization methods to design the configuration of hybrid renewable energy

Maurizio FACCIO, Mauro GAMBERI, Marco BORTOLINI, Mojtaba NEDAEI

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 591-622 doi: 10.1007/s11708-018-0567-x

Abstract: inclusive review of latest research works performed with the aim of improving the efficiency of the hybridrenewable energy systems (HRESs) by employing diverse ranges of the optimization techniques, which aiddetailed analysis of the different classification drivers considering the design factors such as the optimizationgoals, utilized optimization methods, grid type as well as the investigated technology has been conductedInitial results have indicated that of all optimization goals, load demand parameters including loss

Keywords: hybrid renewable energy systems (HRESs)     design and optimization     environmental pollutions     PV array     wind    

Feasibility of using wind turbines for renewable hydrogen production in Firuzkuh, Iran

Ali MOSTAFAEIPOUR, Mojtaba QOLIPOUR, Hossein GOUDARZI

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 494-505 doi: 10.1007/s11708-018-0534-6

Abstract: Then, technical-economic feasibility was performed for each of the eight proposed turbines using the HOMERThe results show that the GE 1.5sl model wind turbine is suitable for wind farm construction.The average annual hydrogen production would be 1014 kg for Firuzkuh by using the GE 1.5sl model turbine

Keywords: wind turbine     hydrogen production     HOMER software     decision making trial and evaluation (DEMATEL)     data envelopment    

Powertrain control of a solar photovoltaic-battery powered hybrid electric vehicle

P. PADMAGIRISAN, V. SANKARANARAYANAN

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 296-306 doi: 10.1007/s11708-018-0605-8

Abstract: This paper proposes a powertrain controller for a solar photovoltaic battery powered hybrid electric

Keywords: battery management system     hybrid electric vehicles (HEVs)     maximum power point tracking (MPPT)     solar photovoltaic    

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-boundedparameters in electric water heater load scheduling.Moreover, the traditional thermal dynamic model of electric water heater is transformed into an interval, and solved by interval number optimization.Simulation 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    

Sizing of hybrid PMSG-PV system for battery charging of electric vehicles

M. M. RAJAN SINGARAVEL,S. ARUL DANIEL

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 68-74 doi: 10.1007/s11708-015-0349-7

Abstract: The number of electric vehicles are increasing in the society as they are considered as zero emissionAdditional electrical power should be produced to meet the energy requirement of this increase in electricIn this work, sizing of wind-driven permanent magnet synchronous generator—photovoltaic hybrid distributedgenerating system has been attempted to meet the energy demand of electric vehicles of a particularResults are analyzed based on energy, financial payback periods and daily power profile of the hybrid

Keywords: electric vehicles     hybrid PMSG-PV system     smart grid    

Layout optimization of steel reinforcement in concrete structure using a truss-continuum model

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 669-685 doi: 10.1007/s11709-023-0963-0

Abstract: Based on bi-directional evolutionary structural optimization (BESO), a new approach is developed in thisThis approach combines a minimum compliance objective function with a hybrid truss-continuum model.Furthermore, a modified bi-directional evolutionary structural optimization (M-BESO) method is proposedTo fully utilize the tensile strength of steel and the compressive strength of concrete, the optimization

Keywords: bi-directional evolutionary structural optimization     steel-reinforced concrete     concrete stress     reinforcementmethod     hybrid model    

Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 976-989 doi: 10.1007/s11709-022-0840-2

Abstract: analysis using the Finite Element Method (FEM) and Artificial Neural Network (ANN) combined with Butterfly OptimizationThis paper improves ANN training after introducing BOA as a hybrid model (BOA-ANN).

Keywords: damage prediction     ANN     BOA     FEM     experimental modal analysis    

Fuel optimal control of parallel hybrid electric vehicles

PU Jinhuan, YIN Chenliang, ZHANG Jianwu

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 337-342 doi: 10.1007/s11465-008-0057-7

Abstract: A mathematical model for fuel optimal control and its corresponding dynamic programming (DP) recursiveequation were established for an existing parallel hybrid electric vehicle (HEV).The system model was converted into real-time simulation code by using MATLAB/RTW to improve computation

Keywords: mathematical     Comparison     computational complexity     dimensionality     corresponding    

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 andrenewable energy systems (RES) from 1990 to 2023 within the Web of Science database, this study reviewsthe decision-making optimization problems, models, and solution methods thereof throughout the renewablePredominantly, a hybrid model that combines prediction, optimization, simulation, and assessment methodologiesresearch solutions entails the dissection and linearization of established models, in combination with hybrid

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

Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 195-201 doi: 10.15302/J-FEM-2017052

Abstract: In this work, we examine the impact of crude distillation unit (CDU) model errors on the results of refinery-wideoptimization for production planning or feedstock selection.We compare the swing cut+ bias CDU model with a recently developed hybrid CDU model (Fu et al., 2016)The hybrid CDU model computes material and energy balances, as well as product true boiling point (TBPCDU model and using a planning model that incorporates the hybrid CDU model are presented.

Keywords: impact of model accuracy on production planning     swing cut+ bias CDU model     hybrid CDU model     refinery feedstockselection optimization     optimization of refinery operation    

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1688-y

Abstract:

● A novel VMD-IGOA-LSTM model has proposed for the prediction of

Keywords: Water quality prediction     Grasshopper optimization algorithm     Variational mode decomposition     Long short-term    

Regenerative braking control strategy in mild hybrid electric vehicles equipped with automatic manual

QIN Datong, YE Ming, LIU Zhenjun

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 364-369 doi: 10.1007/s11465-007-0064-0

Abstract: To recover the vehicle s kinetic energy maximally, braking shift rules for a mild hybrid electric vehicle

Keywords: SOC     Braking     battery     regenerative braking     starter/generator    

A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for Research Article

Han YAN, Chongquan ZHONG, Yuhu WU, Liyong ZHANG, Wei LU

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1557-1573 doi: 10.1631/FITEE.2200515

Abstract: evaluating candidate hyperparameter configuration, and (3) the problem of ensuring convergence rates and modelTo overcome these problems and challenges, a hybrid-model optimization algorithm is proposed in thisSecond, a hybrid-surrogate-assisted model is proposed to reduce the high cost of evaluating candidateThird, a novel activation function is suggested to improve the model performance and ensure the convergence

Keywords: Convolutional neural network     Gaussian process     Hybrid model     Hyperparameter optimization     Mixed-variable     Particle swarm optimization    

Title Author Date Type Operation

Optimal design and development of PV-wind-battery based nano-grid system: A field-on-laboratory demonstration

B. TUDU, K. K. MANDAL, N. CHAKRABORTY

Journal Article

Fuel poverty and low carbon emissions: a comparative study of the feasibility of the hybrid renewable

Journal Article

State-of-art review of the optimization methods to design the configuration of hybrid renewable energy

Maurizio FACCIO, Mauro GAMBERI, Marco BORTOLINI, Mojtaba NEDAEI

Journal Article

Feasibility of using wind turbines for renewable hydrogen production in Firuzkuh, Iran

Ali MOSTAFAEIPOUR, Mojtaba QOLIPOUR, Hossein GOUDARZI

Journal Article

Powertrain control of a solar photovoltaic-battery powered hybrid electric vehicle

P. PADMAGIRISAN, V. SANKARANARAYANAN

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

Sizing of hybrid PMSG-PV system for battery charging of electric vehicles

M. M. RAJAN SINGARAVEL,S. ARUL DANIEL

Journal Article

Layout optimization of steel reinforcement in concrete structure using a truss-continuum model

Journal Article

Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Journal Article

Fuel optimal control of parallel hybrid electric vehicles

PU Jinhuan, YIN Chenliang, ZHANG Jianwu

Journal Article

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

Journal Article

Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

Journal Article

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Journal Article

Regenerative braking control strategy in mild hybrid electric vehicles equipped with automatic manual

QIN Datong, YE Ming, LIU Zhenjun

Journal Article

A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for

Han YAN, Chongquan ZHONG, Yuhu WU, Liyong ZHANG, Wei LU

Journal Article