“…Energies 2022, 15,638 In these equations, M is the take-off mass of the vehicle and V is the true airspeed. The values of the propulsive efficiency η p used in this investigation are reported in Table 2.…”
Section: Mission Profile and Flight Dynamicsmentioning
confidence: 99%
“…As pointed out in [12], the sustainability of air-taxi services is unclear because of the high energy requirement of this kind of vehicle, above all for take-off and climb. A comprehensive review of the research on UAM is presented in [15], where the development of more refined and high-fidelity models is suggested as one of the potential research directions in this field. This work also points out the importance of taking into account the largest safety allowed by the hybrid-electric power systems in rotorcraft thanks to the possibility of performing safe descents after an engine/motor failure.…”
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.
“…Energies 2022, 15,638 In these equations, M is the take-off mass of the vehicle and V is the true airspeed. The values of the propulsive efficiency η p used in this investigation are reported in Table 2.…”
Section: Mission Profile and Flight Dynamicsmentioning
confidence: 99%
“…As pointed out in [12], the sustainability of air-taxi services is unclear because of the high energy requirement of this kind of vehicle, above all for take-off and climb. A comprehensive review of the research on UAM is presented in [15], where the development of more refined and high-fidelity models is suggested as one of the potential research directions in this field. This work also points out the importance of taking into account the largest safety allowed by the hybrid-electric power systems in rotorcraft thanks to the possibility of performing safe descents after an engine/motor failure.…”
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.
“…Here the value of c k is the travel time on link k at the equilibrium: it is the sum of the free travel time [c] k and the extra time delay caused by the congestion on the link and nodes, given by [p + Dq] k . The value of x k is the total amount of travelers entering or exiting link k per unit time 1 .…”
Section: A Vertiport Selection Via Mpecmentioning
confidence: 99%
“…Urban Air Mobility (UAM) is a concept that promotes short-range aerial travel in urban areas [1], [2]. By adding an air transportation network supported by the vertiportswhere the travelers embark and disembark the aircraftto the existing ground transportation network, UAM has the potential to alleviate the ground traffic congestion.…”
Urban Air Mobility is a concept that promotes aerial modes of transport in urban areas. In these areas, the location and capacity of the vertiports-where the travelers embark and disembark the aircraft-not only affect the flight delays of the aircraft, but can also aggravate the congestion of ground vehicles by creating extra ground travel demands. We introduce a mathematical model for selecting the vertiports location and capacity that minimizes the traffic congestion in hybrid air-ground transportation networks. Our model is based on a mathematical program with bilinear equilibrium constraints. Furthermore, we show how to compute a global optimal solution of this mathematical program by solving a mixed integer linear program. We demonstrate our results via the Anaheim transportation network model, which contains more than 400 nodes and 900 links.
“…Later, the concept was extended by NASA using the broader term of Advanced Air Mobility (AAM) to further consider operations that are not limited to urban areas but also include rural and inter-urban trips [2,3] and can additionally address the issue of limited accessibility to remote areas. Although in their strict definition, the terms UAM and AAM might represent different concepts [4], this paper adopts the term of UAM for both urban and inter-urban areas to be consistent with the recent European literature [5].…”
Urban Air Mobility (UAM) constitutes a future aerial mobility alternative, which concerns the use of electric and autonomous aerial vehicles for transporting people throughout a planned network of vertiports. To materialize UAM, several actors of the air and urban transport ecosystem play a vital role. This paper describes the insights gathered from 32 key stakeholders around the world to present and frame the key aspects for the future implementation of UAM. The participants include representatives from the UAM industry such as airports, airlines, aviation consulting companies, academia, and authorities. The data collection encompasses various key research areas, covering topics such as UAM strengths, weaknesses, opportunities and risks, requirements for implementation, concept integration in the existing transport system, specific use cases, business models, and end-user segments. The research aims at setting up the stakeholder scene and expanding the current literature for UAM by engaging key decision makers and experts towards shaping the new mobility era. The results demonstrate that ensuring certification standards for UAM fleets and updating the current legal and regulatory framework are the main prerequisites for UAM’s realization. In addition, the usage of UAM for transporting cargo or for air ambulance services are the most mature business models for the coming decade.
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