Energy consumption models for delivery drones: A comparison and assessment

Zhang, Juan; Campbell, James F.; Sweeney, Donald C.; Hupman, Andrea C.

doi:10.1016/j.trd.2020.102668

Cited by 178 publications

(112 citation statements)

References 39 publications

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“…In particular, given the non-linear components, some research has employed linear approximation-based techniques to reduce their associated complexity (e.g., Dorling et al, 2017;Jeong et al, 2019;Troudi et al, 2018). Further, to identify the key parameters affecting the energy consumption behaviour of drones, some studies have discussed the similarities and differences among various models (e.g., Kirschstein, 2020;Zhang et al, 2021). Moreover, some research has directly formulated drone energy consumption in a non-linear form and solved the TSP-D with considering non-linear energy consumption with exact solutions (e.g., Dukkanci et al, 2021).…”

Section: Drone Routing and Operation Optimisationmentioning

confidence: 99%

Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing

et al. 2021

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Alongside the rise of ‘last-mile’ delivery in contemporary urban logistics, drones have demonstrate commercial potential, given their outstanding triple-bottom-line performance. However, as a lithium-ion battery-powered device, drones’ social and environmental merits can be overturned by battery recycling and disposal. To maintain economic performance, yet minimise environmental negatives, fleet sharing is widely applied in the transportation field, with the aim of creating synergies within industry and increasing overall fleet use. However, if a sharing platform’s transparency is doubted, the sharing ability of the platform will be discounted. Known for its transparent and secure merits, blockchain technology provides new opportunities to improve existing sharing solutions. In particular, the decentralised structure and data encryption algorithm offered by blockchain allow every participant equal access to shared resources without undermining security issues. Therefore, this study explores the implementation of a blockchain-enabled fleet sharing solution to optimise drone operations, with consideration of battery wear and disposal effects. Unlike classical vehicle routing with fleet sharing problems, this research is more challenging, with multiple objectives (i.e., shortest path and fewest charging times), and considers different levels of sharing abilities. In this study, we propose a mixed-integer programming model to formulate the intended problem and solve the problem with a tailored branch-and-price algorithm. Through extensive experiments, the computational performance of our proposed solution is first articulated, and then the effectiveness of using blockchain to improve overall optimisation is reflected, and a series of critical influential factors with managerial significance are demonstrated.

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Section: Drone Routing and Operation Optimisationmentioning

confidence: 99%

Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing

et al. 2021

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“…Similarly, UAV-based monitoring systems that can analyze data either on board, on the edge or send by sending data to the cloud for remote analysis also consume energy [136]. Data submission to the cloud or the use of a bigger drone can reduce energy consumption for data processing, but the computation offloading, and wireless data transmission will both be sacrificed.…”

Section: Power Consumption and Flight Timementioning

confidence: 99%

Ionizing Radiation Monitoring Technology at the Verge of Internet of Things

Ahmad

Rahim²,

Nordin

et al. 2021

Sensors

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As nuclear technology evolves, and continues to be used in various fields since its discovery less than a century ago, radiation safety has become a major concern to humans and the environment. Radiation monitoring plays a significant role in preventive radiological nuclear detection in nuclear facilities, hospitals, or in any activities associated with radioactive materials by acting as a tool to measure the risk of being exposed to radiation while reaping its benefit. Apart from in occupational settings, radiation monitoring is required in emergency responses to radiation incidents as well as outdoor radiation zones. Several radiation sensors have been developed, ranging from as simple as a Geiger-Muller counter to bulkier radiation systems such as the High Purity Germanium detector, with different functionality for use in different settings, but the inability to provide real-time data makes radiation monitoring activities less effective. The deployment of manned vehicles equipped with these radiation sensors reduces the scope of radiation monitoring operations significantly, but the safety of radiation monitoring operators is still compromised. Recently, the Internet of Things (IoT) technology has been introduced to the world and offered solutions to these limitations. This review elucidates a systematic understanding of the fundamental usage of the Internet of Drones for radiation monitoring purposes. The extension of essential functional blocks in IoT can be expanded across radiation monitoring industries, presenting several emerging research opportunities and challenges. This article offers a comprehensive review of the evolutionary application of IoT technology in nuclear and radiation monitoring. Finally, the security of the nuclear industry is discussed.

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“…Moreover, ad hoc flight mechanics analysis tools and design techniques need to be developed to tackle the challenge of sizing and management of hybrid and fully electric aircraft. In fact, the analysis of the energy request of this kind of vehicle and their environmental impact is a hot topic still in need of further research efforts, as proved by the limited works in this topic, such as the recent studies on Urban Air Delivery [8][9][10] and UAM [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

A Methodology for the Comparative Analysis of Hybrid Electric and All-Electric Power Systems for Urban Air Mobility

Donateo

Ficarella

2022

Energies

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The present investigation addresses the topic of Urban Air Mobility with particular reference to the air-taxi service with electrified power systems. A new and detailed methodology is proposed for the simplified design and energy analysis of conventional, hybrid-electric, and full-electric power systems for this application. The original contributions to the scientific literature on UAM are the detailed modeling approach, the evaluation of CO2 emissions with a Well-to-Wing approach as a function of the electricity Emission Intensity factor, and the comparison with road vehicles performing the same route in different driving conditions. The comparison demonstrates the advantages of a full electric air-taxi with today’s technology versus a hybrid-electric road taxi, especially in cases involving low emission intensity and unfavorable driving conditions (congested traffic, aggressive driving style, and high circuity factor values). In the case of 2035 technology, the comparison with a referenced fully electric road vehicle is detrimental to the air taxi but the values of Well-to-Wheel/Wing CO2 with the expected Emission Intensity of 90 g/kWe for the European Union are still quite low (67 g/km). The investigation also quantifies the negative effect of battery aging on the consumption of the air taxi and on the number of consecutive flights that can be performed without fully charging the battery.

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Energy consumption models for delivery drones: A comparison and assessment

Cited by 178 publications

References 39 publications

Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing

Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing

Ionizing Radiation Monitoring Technology at the Verge of Internet of Things

A Methodology for the Comparative Analysis of Hybrid Electric and All-Electric Power Systems for Urban Air Mobility

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