Simulation Model for the Estimation of Energy Consumption of the Baggage Handling System in the Landside Area of the Airport

Kierzkowski, Artur; Kisiel, Tomasz

doi:10.3390/en15010256

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…Data analytics and AI: By employing artificial intelligence and machine learning algorithms, airports can better manage energy consumption, analyzing patterns to determine optimal times for energy-intensive activities, and predicting system maintenance to reduce downtimes (Ahmad et al 2022;Kierzkowski and Kisiel 2021).…”

Section: Innovative Energy-saving Technologies Suitable For Nigeriamentioning

confidence: 99%

A critical review of energy consumption and optimization strategies in the Nigerian aviation sector: challenges and prospects

Orikpete,

Gungura,

Ehimare

et al. 2023

Bull Natl Res Cent

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Background The global aviation industry plays a crucial role in socioeconomic advancement. However, its notable energy consumption has garnered attention due to the subsequent environmental consequences. Nigeria, holding a dominant position in Africa's economic landscape, is undergoing rapid growth in its aviation sector. This progress brings to light several energy consumption challenges emblematic of the broader industry. Main body of the abstract For this review, we conducted a comprehensive assessment of energy consumption patterns within the Nigerian aviation sector. Drawing from a diverse range of contemporary literature and global best practices, we centered our exploration on energy consumption patterns within the Nigerian aviation sector, environmental stewardship, global best practices, regulatory frameworks, and flight operations, ground support functions, and maintenance activities. This approach enabled us to pinpoint prevalent inefficiencies and to highlight opportunities for improved energy utilization. Short conclusion Our findings emphasize the pressing necessity for Nigeria to instate rigorous energy efficiency policies, further supported by enhanced regulatory structures. Given Nigeria's specific energy-related challenges, such as an inconsistent power supply and a significant reliance on non-renewable energy sources, the aviation sector confronts amplified environmental and economic threats. Addressing these issues is imperative not just for the sector's longevity but also in alignment with Nigeria's expansive fiscal aspirations. The insights garnered from this review can guide stakeholders in maneuvering the intricacies of energy management in aviation, thus paving the way for ecologically responsible expansion in burgeoning economies.

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Section: Innovative Energy-saving Technologies Suitable For Nigeriamentioning

confidence: 99%

A critical review of energy consumption and optimization strategies in the Nigerian aviation sector: challenges and prospects

Orikpete,

Gungura,

Ehimare

et al. 2023

Bull Natl Res Cent

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Bibliometric Analysis of Environmental Management Literature in Aviation

Uzgör,

Selahattin Ateş,

Kafalı

2024

Transportation Research Record: Journal of the Transportation R

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The increasing interest in environmentally sustainable aviation has led to the topic becoming popular in aviation management literature. However, to the best of our knowledge, no research analyzes aviation environmental management (AEM) literature in a comprehensive manner. This study aims to bridge this gap by conducting a retrospective examination of environmental sustainability studies in literature using the bibliometric analysis method. Identifying potentially important gaps and drawing a comprehensive picture of the dynamics and the state of the literature is an important task to drive future studies in the field. Results drawn from 511 publications indexed in the Web of Science (WoS) database indicate a recent and rapid growth in the literature. Greenhouse gas emissions and noise emissions are dominant research themes while waste and water management topics are not well established. Studies investigating alternative fuels, emission mitigation strategies, energy conservation, and noise abatement are prevalent in the literature.

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Bionic Intelligent Algorithms Used in Helicopter Individual Blade Control Optimization

Gao

Huang

et al. 2022

Applied Sciences

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Bionic algorithms are established by imitating human neural structures and animal social behaviors. As an important part of bionic technology, bionic algorithms are often used to solve the control problems of complex nonlinear systems, such as the rotor aeroelasticity dynamics model used in the helicopter individual blade control (IBC) optimization process. Two control methods based on bionic intelligent algorithms are introduced, respectively. The first method is to combine the fuzzy neural network and the classical PID control together. Compared with traditional PID control, the combined one was able to adjust the PID control parameters automatically by using the learning ability of the fuzzy neural network. The second method is to directly search the optimal control parameters by using the particle swarm algorithm. Both two methods demonstrate higher efficiency and accuracy; according to the results obtained by the algorithms, the vibration level was 80% less than without the applied high order harmonics. This indicates great application prospects for bionic intelligent algorithms in solving complex nonlinear system problems.

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Simulation Model for the Estimation of Energy Consumption of the Baggage Handling System in the Landside Area of the Airport

Cited by 4 publications

References 21 publications

A critical review of energy consumption and optimization strategies in the Nigerian aviation sector: challenges and prospects

A critical review of energy consumption and optimization strategies in the Nigerian aviation sector: challenges and prospects

Bibliometric Analysis of Environmental Management Literature in Aviation

Bionic Intelligent Algorithms Used in Helicopter Individual Blade Control Optimization

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