Grid flexibility by electrifying energy systems for sustainable aviation

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonDecarbonisation of aviation goals set by Flightpath 2050 Europe’s Vision for Aviation requires that the airports become emission-free by 2050. This thesis original contribution to knowledge is to explore the incorporation of aviation electrification technologies, including electric aircraft (EA), electrified ground support equipment (GSE), and airport parking electric vehicles (EVs), into power systems, evaluating their influence on grid infrastructure and operations, as well as their potential to support the grid operation. A comprehensive review of aviation electrification technologies revealed a research gap in the integration of these technologies into the power systems. The thesis contributes to electricity network infrastructure planning for electrification of aviation and airport-based distributed energy resources (DER) that provide ancillary services to the power grid. A multi-objective airport microgrid planning framework is developed, comparing EA charging strategies and revealing that battery swap performs better. Vehicle-to-grid (V2G) strategy with parking EVs improves the microgrid's performance. A techno-economic assessment of wireless charging systems for electric airport shuttle buses shows better economic performance than conventional buses and other charging options. A novel Aviation-to-Grid (A2G) flexibility concept provides frequency response services to the GB power system using EA battery charging systems, with typical A2G service capacity showing significant variation across eight UK airports. A deep reinforcement learning (DRL)-based A2G dispatch approach evaluates the impact of EA charger capacity on energy dispatch results, with higher capacities leading to higher revenue and lower operation costs. To summarise, this thesis addresses the research gaps in integrating aviation electrification technologies into power systems, offering valuable insights for airport operators aiming to decarbonise air transport activities through the adoption of these technologies. The study also provides an understanding of the impacts on grid operators in terms of infrastructure planning and operations. This comprehensive approach ensures a cohesive understanding of the challenges and opportunities presented by aviation electrification and its integration into power systems

Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa

A rapidly growing number of vehicles in recent years cause long traffic jams and difficulty in the management of traffic in cities. One of the most significant reasons for increased traffic jams on the road is random parking in unauthorized and non-permitted places. In addition, managing of available parking places cannot achieve the expected reduction in traffic congestion related problems due to mismanagement, lack of real-time parking guidance to the drivers, and general ignorance. As the number of roads, highways and related resources has not increased significantly, a rising need for a smart, dynamic and effective parking solution is observed. Accordingly, with the use of multiple sensors, appropriate communication network and advanced processing capabilities of edge and cloud computing, a smart parking system can help manage parking effectively and make it easier for the vehicle owners. In this paper, we propose a multi-layer architecture for smart parking system consisting of multi-parametric parking slot sensor nodes, latest long-range low-power wireless communication technology and Edge-Cloud computation. The proposed system enables dynamic management of parking for large areas while providing useful information to the drivers about available parking locations and related services through near real-time monitoring of vehicles. Furthermore, we propose a dynamic pricing algorithm to yield maximum possible revenue for the parking authority and optimum parking slot availability for the drivers.</p

Internal report cluster 1: Urban freight innovations and solutions for sustainable deliveries (3/4)

Technical report about sustainable urban freight solutions, part 3 of

Urban transport, pedestrian mobility and social justice: a GIS analysis of the case of the Lisbon Metropolitan Area

Urban transport projects redistribute accessibility and environmental quality across the city, potentially creating disadvantages for some social groups. This thesis investigates whether these effects are cumulative or compensatory in the case of the Lisbon Metropolitan Area, analysing inequalities in the light of competing principles of social justice. The novelty of this research lies in the interpretation of local environmental effects as factors restraining the mobility of pedestrians. We propose a series of GIS-based indicators, including community severance and noise exposure of pedestrians on the way to work and walking around their neighbourhoods. We found that projects giving priority to private transport have a disproportionate effect on the pedestrian environment of the elderly and low-qualified populations. The analysis addresses two of the most pressing issues in transport equity analysis. The first is the spatial heterogeneity in patterns of inequality. We estimate relationships between socio-economic variables and indicators of the local effects of transport using alternative comparison areas, defined in terms of centrality and commuting destinations. We found that the social distribution of those effects is sensitive to location and spatial scale. The second issue is the nature of the processes leading to inequalities. We show that accessibility and pedestrian mobility have an influence on neighbourhood socio-economic recomposition and on patterns of settlement in newly developed areas. We also analyse the implications of integrating distributive concerns in transport planning. In the design of the optimal route alignment for a new road, these concerns may increase aggregate community severance costs. In the application of traffic restriction policies, there are trade-offs between the welfare of different groups of concern in terms of time to work and pedestrian exposure to noise. In both cases, the achievement of equity may not be compatible with the party-political interests of the policy-maker

Dynamics in Logistics

This open access book highlights the interdisciplinary aspects of logistics research. Featuring empirical, methodological, and practice-oriented articles, it addresses the modelling, planning, optimization and control of processes. Chiefly focusing on supply chains, logistics networks, production systems, and systems and facilities for material flows, the respective contributions combine research on classical supply chain management, digitalized business processes, production engineering, electrical engineering, computer science and mathematical optimization. To celebrate 25 years of interdisciplinary and collaborative research conducted at the Bremen Research Cluster for Dynamics in Logistics (LogDynamics), in this book hand-picked experts currently or formerly affiliated with the Cluster provide retrospectives, present cutting-edge research, and outline future research directions

Proceedings of the 9th International congress of architectural technology: digitally integrated cities: closing the chasm between social and physical.

Challenges are emerging within the construction industry, causing diversification of roles, workflows and educational transformations. This has resulted in unifying and integrating the built environment on city, country, and global levels due to the Internet of Things, Artificial Intelligence, cloud computing and big data analytics. Architectural Technology is at the centre of the construction industry where the relationship between these factors creates many interfaces. Academics and Professionals associated with Architectural technology are best positioned to enhance the design, delivery and performance of integrated buildings within cities at large. This congress will be a vehicle to disseminate research, education and practice related to this theme investigating both social as well as physical, technical, operational and strategic effects on Digitally integrated Cities

Constructive and evolutionary algorithms for airport baggage sorting station and gate assignment problems

Correct assignment of airport resources can greatly affect the quality of service which airlines and airports provide to their customers. Good assignments can help airlines and airports to keep to published schedules, by minimising changes in these schedules and reducing delays. Given the expected increases in civil air traffic, the complexities of resource scheduling and assignment continue to increase. For this reason, as well as the dynamic nature of the problems, scheduling and assignment are becoming increasingly more difficult. The assignment of baggage sorting stations to flights is one of the resource assignment problems at an airport, and like many other real world optimisation problems, it naturally has several objectives, which conflict with each other. A model of the problem is presented, different approaches to obtaining good solutions are looked at and studied to gain an insight into their qualities. Furthermore, algorithms are studied to improve the already good solutions obtained by the approaches considered and their performance is studied where some characteristics of the problem change, such as the number of baggage sorting stations or the topology of the airport. Changes to the flight schedule on the day of operation may invalidate previous assignments of flights to resources. These perturbations may not only affect the disrupted flights but also other flights already assigned. Some existing approaches are looked at, and others are suggested to take account of these potential perturbations at the time the assignments are generated with the aim of mitigating their detrimental effect on the day of operation. The constructive search algorithms and robustness methods are potentially important in a wider variety of problems other than the Airport Baggage Sorting Station Assignment Problem (ABSSAP). By way of illustration, the same techniques are applied to the widely studied Airport Gate Assignment Problem (AGAP)