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Prediction NOX Emissions for High Speed DI Diesel Engine Based on PSOBP

SHENG-LAN TAN, RONG YANG, XIAO-HU YANG, JUN-MING HUANG, ZHI-HAO FAN
2020 DEStech Transactions on Environment Energy and Earth Science  
and threshold of BPNN, and establishes the corresponding prediction model of NO X emission of diesel engine.  ...  In this paper, BP neural network (BPNN) is studied to model and predict NO X emission of direct injection diesel engine.  ...  Projects of Guangxi Zhuang Autonomous Region (2018KY0024).  ... 
doi:10.12783/dteees/peems2019/33926 fatcat:ra7o5s42x5apdka3th2gkslnbi

Computational modeling and multi-objective optimization of engine performance of biodiesel made with castor oil

Jonah Chukwudi Umeuzuegbu, Stanley Okiy, Chidozie Chukwuemeka Nwobi-Okoye, Okechukwu Dominic Onukwuli
2021 Heliyon  
The ANN model predicted engine performance very well with the lowest value of the correlation coefficient between the experimental responses and ANN predictions being 0.9733.  ...  The engine performance was modeled using artificial neural network (ANN) and the ANN was subsequently used as the objective function for a non dominated sorting genetic algorithm (NSGA-II) for multi objective  ...  ANFIS and optimized with SA, PSO, ACO etc for modeling the performance of biodiesel and its blends with mineral diesel on engine performance.  ... 
doi:10.1016/j.heliyon.2021.e06516 pmid:33817377 pmcid:PMC8010634 fatcat:sbvq2b6wwrakfj6u62h47uexuu

The state-of-the-art of soot load estimation in diesel particulate filters: A review

Fuwu Yan, Zhizhou Cai, Jie Hu, F. Yan, M. Li, X. Hou, Y. Long
2021 E3S Web of Conferences  
Diesel particulate filter (DPF), as part of aftertreatment system of internal combustion engine, is considered to be the only feasible way to prominently lessen particle emissions under the requirement  ...  of today's strict regulations such as Euro Ⅵ, US Tier 3 and China Ⅵ.  ...  [79] modeled and optimized NOx and PM emissions of a direct injection diesel engine based on the combination algorithm of ANN and ant colony optimization (ACO), shown in Figure 34 .  ... 
doi:10.1051/e3sconf/202126801021 fatcat:hdlqbiadjvh4holyokhmtdl5qu

Towards Artificial Intelligence-Based Reduction of Greenhouse Gas Emissions in the Telecommunications Industry

Gift Bonire, Abiodun Gbenga-Ilori
2021 Scientific African  
A model combining the source testing method with an artificial neural network (ANN) technique and the Internet of Things (IoT) system is proposed in this paper.  ...  The ANN technique is employed to analyse the data and ensure that future emissions from base stations can be predicted with a degree of accuracy, and to assess the factors that affect these emissions.  ...  Though many authors used ANN for prediction or IoT models for the reduction of GHG emission, none used a combined system consisting of the source testing technique with ANN and IoT.  ... 
doi:10.1016/j.sciaf.2021.e00823 fatcat:vierbd67zbhbnec5csqssuyueu

Bio-Inspired Optimization of Sustainable Energy Systems: A Review

Yu-Jun Zheng, Sheng-Yong Chen, Yao Lin, Wan-Liang Wang
2013 Mathematical Problems in Engineering  
Particularly, algorithms that are inspired by the principles of natural biological evolution and/or collective behavior of social colonies have shown a promising performance and are becoming more and more  ...  Sustainable energy development always involves complex optimization problems of design, planning, and control, which are often computationally difficult for conventional optimization methods.  ...  In [103] Rao and Peng considered a multiobjective optimal model of dispatch of energy-saving and emission reduction generation in the power system and developed a multiobjective DE algorithm with niche  ... 
doi:10.1155/2013/354523 fatcat:zaqxfr2vljdwhltcqkvbbtqrfu

Optimization methods applied to renewable and sustainable energy: A review

R. Baños, F. Manzano-Agugliaro, F.G. Montoya, C. Gil, A. Alcayde, J. Gómez
2011 Renewable & Sustainable Energy Reviews  
use requires complex design, planning and control optimization methods.  ...  This paper presents a review of the current state of the art in computational optimization methods applied to renewable and sustainable energy, offering a clear vision of the latest research advances in  ...  (HBMO), ANN, ACO, and GA.  ... 
doi:10.1016/j.rser.2010.12.008 fatcat:itg2ykeigffx5jl55hn5buqdvu

Power management optimization of hybrid power systems in electric ferries

Monaaf D.A. Al-Falahi, Kutaiba S. Nimma, Shantha D.G. Jayasinghe, Hossein Enshaei, Josep M. Guerrero
2018 Energy Conversion and Management  
Declarations Declaration of Originality and Authority of Access I declare that this thesis contains no material which has been accepted for a degree or diploma by the University or any other institution  ...  , except by way of background information and duly acknowledged in the thesis, and that, to the best of my knowledge and belief, this thesis contains no material previously published or written by another  ...  Sinha and Chandel [94] used artificial neutral network (ANN) to predict solar and wind data, and found that the predicted data by ANN are close to the measured and estimated data. Rajkumar et al.  ... 
doi:10.1016/j.enconman.2018.07.012 fatcat:ogyvqlo74fc7hcwyjspmcpce3a

Sizing, optimization, control and energy management of hybrid renewable energy system- a review

Chouaib Ammari, Djamel Belatrache, Batoul Touhami, Salim Makhloufi
2021 Energy and Built Environment  
This review focuses on four essential categories of hybrid renewable energy system which is sizing (using software or using traditional methods), optimization (classical, artificial and hybrid methods)  ...  Highlights  A review of the latest studies published in a hybrid renewable energy system  This review focuses on sizing, optimization, control, and energy management  The latest published methods are  ...  or concentrator solar parabolic), diesel engine and storage system.  ... 
doi:10.1016/j.enbenv.2021.04.002 fatcat:b3fwcnbfivgrljnaz6kglt6qse

"Scheduling in Job Shop Process Industry"

Shantanu Kolharkar
2013 IOSR Journal of Mechanical and Civil Engineering  
Compared the results with and without using GA parameters.  ...  The allocation of available resources over time to perform a specific task.  ...  They described two back-propagation learning algorithms are used to predict of the torque, power, specific fuel consumption, and smoke emission of diesel engine using different injection pressure and engine  ... 
doi:10.9790/1684-0510117 fatcat:tdthkzm4wre37aq5xsix4ycyci

Applications of Artificial Intelligence‐Based Modeling for Bioenergy Systems: A Review

Mochen Liao, Yuan Yao
2021 GCB Bioenergy  
pathways and technologies, (3) the prediction of biofuel properties and the performance of bioenergy end-use systems, and (4) supply chain modeling and optimization.  ...  Based on the review, AI is particularly useful in generating data that are hard to be measured directly, improving traditional models of biomass conversion and biofuel end-uses, and overcoming the challenges  ...  ACKNOWLEDGEMENTS The authors thank the funding support from the Department of Forest Biomaterials at North Carolina State University, the U.S. National Science Foundation, and the Alfred P.  ... 
doi:10.1111/gcbb.12816 fatcat:ixyyk6je6rcv3jdde3p36m6hre

PV-wind hybrid system: A review with case study

Yashwant Sawle, S.C. Gupta, Aashish Kumar Bohre, Wei Meng
2016 Cogent Engineering  
This work analyzed the different combinations of hybrid renewable energy source model and compared each other on the basis of emission, fuel consumption, cost, and component used in the system.  ...  emission among all various hybrid system combinations.  ...  In literature a number of methods are used to evaluate performance of the hybrid PV system as a combination of PV with battery, diesel generator, and PV without battery.  ... 
doi:10.1080/23311916.2016.1189305 fatcat:bqjqs2xdtra2pkquerzfyg2pfe

Bio-Inspired Approaches for Smart Energy Management: State of the Art and Challenges

Tri-Hai Nguyen, Luong Vuong Nguyen, Jason J. Jung, Israel Edem Agbehadji, Samuel Ofori Frimpong, Richard C. Millham
2020 Sustainability  
In particular, we give an overview of the well-known and emerging bio-inspired algorithms, including evolutionary-based and swarm-based optimization methods.  ...  Then, state-of-the-art studies using bio-inspired techniques for smart energy management systems are presented.  ...  [65] 2018 GA, ANN Energy cost Artificial neural network (ANN) was implemented for predicting heating energy demand and zone temperature.  ... 
doi:10.3390/su12208495 fatcat:hzkrbskodrekzdkkrczqcqxfoi

A Review on Optimal Generation Techniques used in Microgrids

Pissa Sandhya Rani, K. S. V. Phani Kumar
2015 International Journal of Engineering Research and  
This paper presents different optimization techniques developed in recent days for minimization of cost, over emissions and curtailment of loads.  ...  With the depletion of conventional energy sources and increasing of load demand, there is a need of alternative energy sources, therefore non-conventional energy sources and distribution generation technologies  ...  reduction in the lifetime cost and emission of the electrified community [27] .  ... 
doi:10.17577/ijertv4is090743 fatcat:u62mo6hxubbw3je26xpdfmug5e

A review on Forecasting of Photovoltaic Power Generation based on Machine Learning and Metaheuristic Techniques

MUHAMMAD AKHTER, Mekhilef Saad, HAZLIE MOKHLIS, Noraisyah Mohamed Shah
2019 IET Renewable Power Generation  
This study provides a systematic and critical review on the methods used to forecast PV power output with main focus on the metaheuristic and machine learning methods.  ...  The modernisation of the world has significantly reduced the prime sources of energy such as coal, diesel and gas.  ...  A number of combinations have been used as hybrid methods by different researchers.  ... 
doi:10.1049/iet-rpg.2018.5649 fatcat:3cjmomuvbrhzzd3zr3vdzowc3q

Optimization Techniques of Islanded Hybrid Microgrid System [chapter]

Sk. Shezan Arefin
2020 Renewable Energy - Resources, Challenges and Applications  
The Hybrid renewable energy system (HRES) is a recent concept in the field of sustainable development which joins at least two renewable power sources like wind turbine, solar module and other inexhaustible  ...  This chapter starts with an audit by addressing the possible difficulties that can occur while a solar power plant and the wind farm will be integrated together to supply power to the main grid or in a  ...  The model utilized for DC engines is a reasonable relationship between the voltage and current given by the show and the torque and spruce speed of the engine.  ... 
doi:10.5772/intechopen.91841 fatcat:b4axymsttvf3voso4vpodsm4iu
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