Search results for "VDP::Teknologi: 500::Maskinfag: 570::Maskinteknisk energi- og miljøteknologi: 573"

showing 5 items of 5 documents

Parameter Matching Analysis of Hydraulic Hybrid Excavators Based on Dynamic Programming Algorithm

2013

Published version of an article in the journal: Journal of Applied Mathematics. Also available from the publisher at: http://dx.doi.org/10.1155/2013/615608 Open Access In order to meet the energy saving requirement of the excavator, hybrid excavators are becoming the hot spot for researchers. The initial problem is to match the parameter of each component, because the system is tending to be more complicated due to the introduction of the accumulator. In this paper, firstly, a new architecture is presented which is hydraulic hybrid excavator based on common pressure rail combined switched function (HHES). Secondly, the general principle of dynamic programming algorithm (DPA) is explained. T…

Dynamic programmingAccumulator (energy)ExcavatorOptimal matchingArticle SubjectControl theoryComputer scienceApplied Mathematicslcsh:Mathematicslcsh:QA1-939VDP::Teknologi: 500::Maskinfag: 570::Maskinteknisk energi- og miljøteknologi: 573Algorithm
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Design and Fabrication of Solar Water Distillation System for Developing Countries

2017

Master's thesis Renewable Energy ENE500 - University of Agder 2017 The local population in Somalia is experiencing a shortage of fresh drinking water due to high salt content in the ground water. The humanitarian organization Yme is a big contributor for providing clean and safe drinking water for local communities. Yme is interested in building an effective water distillation system to improve the water quality and better the health situation in the country. The main goal of this thesis was to contribute to improving water quality by building a solar water distillation system. As the system is meant for local communities in Somalia, the technology should be easy and without modern control …

ENE500VDP::Teknologi: 500::Maskinfag: 570::Maskinteknisk energi- og miljøteknologi: 573
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Energy-saving analysis of hydraulic hybrid excavator based on common pressure rail

2013

Published version of an article in the journal: The Scientific World Journal. Also available from the publisher at: http://dx.doi.org/10.1155/2013/560694 Open Access Energy-saving research of excavators is becoming one hot topic due to the increasing energy crisis and environmental deterioration recently. Hydraulic hybrid excavator based on common pressure rail (HHEC) provides an alternative with electric hybrid excavator because it has high power density and environment friendly and easy to modify based on the existing manufacture process. This paper is focused on the fuel consumption of HHEC and the actuator dynamic response to assure that the new system can save energy without sacrificin…

Energy-Generating ResourcesArticle SubjectComputer sciencelcsh:Medicinelcsh:TechnologyVDP::Teknologi: 500::Maskinfag: 570::Maskinteknisk energi- og miljøteknologi: 573General Biochemistry Genetics and Molecular BiologyAutomotive engineeringEngineeringElectricityPressureComputer Simulationlcsh:ScienceGeneral Environmental ScienceMechanical PhenomenaOne-hotbusiness.industrylcsh:Tlcsh:RProcess (computing)General MedicineEquipment DesignModels TheoreticalSizingExcavatorFuel efficiencylcsh:QElectricityActuatorbusinessAlgorithmEnergy (signal processing)Research Article
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Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems

2022

Large scale integration of renewable energy system with classical electrical power generation system requires a precise balance to maintain and optimize the supply–demand limitations in power grids operations. For this purpose, accurate forecasting is needed from wind energy conversion systems (WECS) and solar power plants (SPPs). This daunting task has limits with long-short term and precise term forecasting due to the highly random nature of environmental conditions. This paper offers a hybrid variational decomposition model (HVDM) as a revolutionary composite deep learning-based evolutionary technique for accurate power production forecasting in microgrid farms. The objective is to obtai…

VDP::Teknologi: 500Fuel TechnologyNuclear Energy and EngineeringRenewable Energy Sustainability and the EnvironmentEnergy Engineering and Power TechnologyVDP::Teknologi: 500::Maskinfag: 570::Maskinteknisk energi- og miljøteknologi: 573
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Life Cycle Assessment of a Battery Passenger Ferry

2017

Master's thesis Renewable Energy ENE500 - University of Agder 2017 Konfidensiell til / confidential until 01-07-2022

VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542ENE500VDP::Teknologi: 500::Maskinfag: 570::Maskinteknisk energi- og miljøteknologi: 573
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