Integrated energy scheduling and routing for a network of mobile prosumers

Alqahtani, Mohammed; Hu, Mengqi

doi:10.1016/j.energy.2020.117451

Cited by 10 publications

(2 citation statements)

References 88 publications

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“…1 represents the objective function which aims to maximize the average wind speed, consequently increase the power output from the VAWT. The energy output from the VAWT is calculated as follows (Alqahtani and Hu, 2020):…”

Section: Objective Functionmentioning

confidence: 99%

Optimization of VAWT installation with spatial and temporal complexity considerations

Alqahtani

2024

Front. Energy Res.

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The constant need for fuel to meet the commercial sector’s ever-increasing demand has driven researchers to discover and optimize renewable energy resources, paving the way for sustainable production of reliable and clean energy resources. The goal of the current work is to close the gap in process parameter optimization needed to convert wind energy wake from traffic on highways into electrical energy utilizing vertical-axis wind turbines (VAWTs). The energy output from the VAWT is analyzed to investigate how it is impacted by the variations in multiple parameter settings. Using the central composite design (CCD), a three-level four-factor array was used to investigate the following parameters: VAWT vertical distance (VD) and horizontal distance (HD) as continuous parameters, while road side (S) and location (L) of VAWT as categorical parameters. To find the most important parameter, response surface methodology (RSM) optimization and an analysis of variance (ANOVA) test are performed. L accounts for 66.67% of the total variable, with S coming in second with 51.80%. Using the best results from RSM and ANOVA, a confirmation test is run, and the results show yields of 88.75% ± 0.05% and 87.5% ± 0.05%, respectively. Therefore, RSM and ANOVA can be utilized equally for optimization at the same VAWT design. Lastly, the findings of the economic and environmental evaluation demonstrate that, in comparison to the basic settings, VAWT operating at optimal settings can save up to 180% and 200% more energy and reduce carbon emissions, respectively.

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Section: Objective Functionmentioning

confidence: 99%

Optimization of VAWT installation with spatial and temporal complexity considerations

Alqahtani

2024

Front. Energy Res.

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“…Alqahtani and Hu developed an integrated VR and energy scheduling decision model to adaptively dispatch vehicles to balance temporally and spatially distributed energy requests. This model considers vehicle mobility constraints to maximally exploit the potential of mobile prosumer networks for cost savings and carbon emission reductions [35].…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Optimization of Routing and Energy Management for Electric Vehicles in Delivery Scheduling

Wang

Cao

2021

Energies

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At present, electric vehicles (EVs) are attracting increasing attention and have great potential for replacing fossil-fueled vehicles, especially for logistics applications. However, energy management for EVs is essential for them to be advantageous owing to their limitations with regard to battery capacity and recharging times. Therefore, inefficiencies can be expected for EV-based logistical operations without an energy management plan, which is not necessarily considered in traditional routing exercises. In this study, for the logistics application of EVs to manage energy and schedule the vehicle route, a system is proposed. The system comprises two parts: (1) a case-based reasoning subsystem to forecast the energy consumption and travel time for each route section, and (2) a genetic algorithm to optimize vehicle routing with an energy consumption situation as a new constraint. A dynamic adjustment algorithm is also adopted to achieve a rapid response to accidents in which the vehicles might be involved. Finally, a simulation is performed to test the system by adjusting the data from the vehicle routing problem with time windows. Solomon benchmarks are used for the validations. The analysis results show that the proposed vehicle management system is more economical than the traditional method.

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Is Bitcoin ready to be a widespread payment method? Using price volatility and setting strategies for merchants

Oprea,

Georgescu,

Bâra

2024

Electron Commer Res

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Integrated energy scheduling and routing for a network of mobile prosumers

Cited by 10 publications

References 88 publications

Optimization of VAWT installation with spatial and temporal complexity considerations

Optimization of VAWT installation with spatial and temporal complexity considerations

Integrated Optimization of Routing and Energy Management for Electric Vehicles in Delivery Scheduling

Is Bitcoin ready to be a widespread payment method? Using price volatility and setting strategies for merchants

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