bluuebunny/crossref_metadata_2025_split huggingface dataset:
Building archetype characterization for mass-housing energy efficiency through a UBEM approach
Authors: Vallati A , Morganti M , Causone F , Mannucci S , Fiorini C V , di Matteo M , Muzi F 
Published: December 2023

Abstract
Building archetypes characterization is one of the main sources of inaccuracy in Urban Building Energy Modelling (UBEM). This study aims to implement an effective approach to developing a building archetype for estimating energy efficiency in social housing districts. The goal is to support researchers and decision-makers analyzing strategies for similar buildings, evaluate energy use in buildings, and design different retrofit scenarios. UBEM is a practical approach in large-scale building energy modeling used by researchers and stakeholders to analyze and develop different design and retrofit scenarios for buildings with similar construction features and occupancy. The archetype approach requires a subset of buildings representing a cluster with similar properties (e.g., building type, construction features, occupancy, and age), which is used to extrapolate the total energy consumption at the urban scale. The research focused on clusters of four in-line multi-story building types in Rome to conceptualize the study, characterized by reinforced concrete structures. The most diffused systems are the traditional building systems using a gas boiler and radiators for domestic hot water and heating. The model was implemented following a UBEM approach, relying on Urban Modeling Interface (UMI), a tool allowing the creation of building templates to evaluate their energy use at neighbourhood and city-scale. The overall results obtained in this study are described to characterize the archetype for the mass-housing building that researchers and administrations can use to evaluate different strategies for buildings with similar characteristics.
Study on the ancestral rules of bioclimatic urban fabric in southern Algeria
Authors: Mestoul Djamel 
Published: December 2023

Abstract
Our present research aims to assess the impact of some parameters of traditional urban fabric (ksar) in southern Algeria on thermal comfort. We took as an example the ksar of Timimoun, located in the Algerian Sahara which is characterized by an arid climate. In this research, we conducted a series of measurements of the main climatic parameters (air and surface temperature, wind speed and direction) for summer comfort, with different spatial and temporal resolutions. A number of these parameters (morphological aspects) such as H/W ratio and street orientation have shown limited effects on reducing air temperatures, while others such as covered streets, palm groves, shading, etc. appear to be more important and equivalent to effective tools for climate control within the traditional urban fabric (ksar).
Towards deep learning methods to improve photovoltaic prediction and building decarbonization in benchmarking study
Authors: Sow M C , Jouane Y , Abouelaziz I , Zghal M 
Published: December 2023

Abstract
High energy demand, energy transition, energy consumption control are challenges for the future, especially for Building Integrated Photovoltaic (BIPV). There is a great potential to harvest large amounts of photovoltaic (PV) energy on horizontal and vertical surfaces. However, this high potential is often hindered by the slow deployment of these panels, the complex integration into existing buildings, and the possible complex interactions between different factors, such as visualization and active projection of buildings in the decarbonization process. Building Information Modeling (BIM) offers complete and real generative building data that is used in our deep learning methods. Indeed, there is currently no framework for design linking photogrammetry, BIM and PV for BIPV. In this work, we propose artificial learning models, such as Deep Learning, to predict PV energy production for BIPV decarbonization. We determined the optimal prediction of PV production by testing and evaluating different models on a building case study. We compared the PV power generation prediction results with 3D simulation software for solar architecture.
Towards the implementation of Positive Energy Districts in industrial districts: an Italian case study
Authors: Marrasso E , Martone C , Pallotta G , Roselli C , Sasso M 
Published: December 2023

Abstract
Owing to the opportunity to provide an annual positive energy balance and net-zero carbon emissions, Positive Energy Districts aim at fostering the energy transition of urban city centres. To fully support the decarbonization of cities, it may be interesting to extend their implementation to other energy intensive districts, such as cities’ industrial areas. In this regard, this paper addresses the opportunity to apply the Positive Energy District concept within the industrial area of a city in the South of Italy. A mixed-use building, the industrial wastewater treatment plant and an office building have been involved as users and equipped with a 250 kW wind turbine and multiple photovoltaic plants installed on the roof of the buildings, in parking areas and in an unused land, for a total peak power equal to 466 kW. The renewable-based plants’ generation has been simulated in HOMER Pro® software, on a quarter-hour basis, and an energy and environmental analysis have been performed using users’ real electric load profiles. The proposed configuration allows to save 55% of primary energy and carbon dioxide emissions compared to the baseline case where users’ electric energy demand is fully met by the power grid. In particular, the primary energy saving is equal to 1 GWh/y and the carbon dioxide emissions reduction is equal to 150 tCO2/y.
Quantification of the impact of global warming on summer overheating risk in a residential building in urban areas in Belgium
Authors: Sharifi Mohsen , Shamsi Mohammad Haris , Ma Yixiao , Lauwaet Dirk 
Published: December 2023

AbstractClimate change has resulted in an increase of average outdoor temperature worldwide. With the rise of average outdoor temperature and unprecedented frequent heat waves, the demand for cooling systems in residential buildings has risen even in countries such as Belgium with moderate climates. However, there is a trade-off to consider when it comes to cooling. While active cooling methods can effectively maintain thermal comfort, they also come with excessive energy use in comparison to passive cooling techniques. However, passive cooling methods can lead to thermal discomfort and health issues during heat waves. To better understand this balancing act, this paper uses building energy simulation together with the measured current and accurately projected future climate data with high spatial resolution to investigate and quantify the potential for overheating in a selected residential representative building in the Flemish region of Belgium. Optimal solutions for renovation of the building are investigated including a variety of weather scenarios to account for climate change and to provide future-proof solutions. Results indicate that the renovation strategy is not affected by climate change for this case study. High insulation level with passive cooling strategy provided minimum energy use and acceptable summer overheating below 100 hours for this case study. Active cooling with medium and light renovation measures come with acceptable thermal comfort while also result in higher total energy use up to 53%.
Towards sustainable energy consumption for occupants of buildings with collective heating systems
Authors: Cabezas-Rivière Enzo , Recht Thomas , Barlet Aline , Robillart Maxime , Bouville Mathieu , Sebastian Patrick 
Published: December 2023

Abstract
Global warming is forcing us all to reduce our fossil energy consumption. A quantitative survey of people using collective heating in France was conducted to determine whether collective heating hinders energy savings and limits their thermal comfort. The study shows that the existing environment (e.g., heating control devices, access to heating bills) is not suitable for the occupants. Furthermore, the results point out that behaviour is not considered, by occupants, as one of the main energy saving vectors. This is partly due to heating control devices that can be inconvenient to use and thus do not maximize their thermal comfort. Indeed, there is a large difference between the temperature residents want, and the one they get. Our study population reported that rooms are colder than people wish. To achieve sustainable energy savings, efforts should be made to better take into account their comfort while making the technical system more suitable to the occupants, for example, by improving access to and understanding of bills and replacing the current manual control valves with programmable and remotely controllable ones.
A multi-criteria review of mean radiant temperature evaluation models for urban thermal comfort
Authors: Merville A , Rodler A , Musy M , Rouchier S , Dufrasnes E 
Published: December 2023

Abstract
This article reviews the main tools used to simulate the mean radiant temperature (T

mrt
) under outdoor conditions. Urban environment complexity and the multiplicity of the radiative fluxes force models’ developers to simplify the problem. To summarize the common assumptions of these models, a graphical tool is proposed. In addition to the physical description, effective coherence of models as a tool for urban decision-making is analyzed. Based on this double vision, this article achieves a multi-criteria analysis of T

mrt
calculation. Nine tools (ENVI-met, Solene-microclimat, SOLWEIG, RayMan, CitySim, Ladybug-Grasshopper, VTUF, DART and LASER/F) are evaluated against five criteria. Three criteria relate to physics implementation: completeness of the considered radiative phenomena, representation of the environment and surface temperature modeling. Two criteria deal with the operational capabilities: consistency with the needs of city-planners and practical accessibility. These criteria highlight various issues, and in particular the conflict between user-friendly practicality and an accurate description of physical phenomena.
Systematic derivation of the fundamental solutions for couple stress theory
Authors: El-metwaly A R , Kamal M A , Rashed Y F , Ismail A S , Nasry H 
Published: December 2023

Abstract
Classical elasticity theory failed to produce accurate results given in agreement with the experimental results. As this theory fails at stress concentration near the gaps or holes, or materials with significant microstructure contributions as soil, composite material, and polymer material generally in aerospace materials. In order to improve accuracy, the consistent couple stress theory is used. In the consistent couple stress theory, the microrotation and macro rotation are equal, where the macro rotation is half the curl of displacement, and the couple stress tensor is skew-symmetric. In this paper, the fundamental solutions for couple stress elasticity are derived in a systematic way via the Hörmander technique. The used technique is characterized by its ease and also develops the Galerkin tensor used in many applications, for example, the transformation of domain integral, computing the body force in the domain without discretization. All necessary kernels for displacements and tractions are derived and given in terms of a generalized Galerkin tensor for further use.
Design and analysis of an electric tiltrotor unmanned aerial vehicle
Authors: Gebril Ahmed A , Kamal Ashraf M 
Published: December 2023

Abstract
The concept of tiltrotor aircraft has been around for over seventy years, but it was not until the last decade that the advancement in Unmanned Aerial Vehicle (UAV) technology has made them a viable option. Although the design requirements of such UAV are complex and require careful consideration, the potential benefits are significant. Motivated by their potential capabilities, this paper aims to present a complete procedure for designing an electric tiltrotor UAV that incorporates the attributes of both fixed and rotary wing aircraft, including all necessary mathematical formulations. The paper explores the diverse aspects of the design and analysis of tiltrotor UAVs, from conceptual, preliminary, and detail design to aerodynamics, performance, and stability analysis. The detailed weight analysis is performed using six different methods from different references to assess their applicability for use with electric tiltrotor UAV. After designing and selecting the UAV components, an iteration process is performed to check and resize the estimated design parameters.
Development and verification of AeroMech tool for rapid estimation of airplane aerodynamic characteristics during early design stages
Authors: Magdy Ahmed , Zakaria M , Farouk O , Kamal Ashraf M 
Published: December 2023

Abstract
The aerodynamic characteristics of airplanes (i.e., coefficients and derivatives) are essential for the airplane design and optimization process. Generally, accurate calculations of these characteristics are complex and time-consuming. However, the level of accuracy can be adjusted depending on the design phase, problem complexity, and available time for analysis. Thus, diverse tools ranging from simple analytical methods to complex numerical simulations are used to calculate these characteristics during different design steps. This paper presents an efficient tool to expedite the calculation of the aerodynamic characteristics of airplanes with acceptable accuracy based on a combination of analytical and empirical approaches. The goal is to develop a a program tool (AeroMech) that can be used during the airplane preliminary design steps to rapidly assess a large number of alternative configurations and select the best ones for further detailed analysis. For this, enormous empirical relations that are typically represented in charts are digitized and implemented in the developed tool together with the analytical-empirical equations to facilitate and speed up the calculations. Cessna-182 and Cessna-310 airplanes are selected as two case-studies to verify the developed tool against the most common tools such as Digital DATCOM and XFLR5. Finally, the developed tool is partially validated with the available published experimental data for the case-study airplanes. The results show that the tool is able to predict the aerodynamic characteristics with reasonable accuracy for the preliminary design steps, which saves time and resources in the early design stages.
Numerical study of inlet air conditions on methane flameless combustion characteristics
Authors: Khodir A K , El-Behery S M , Elaskary A H 
Published: December 2023

Abstract
The current study investigates the influence of inlet air momentum and temperature for flameless characteristics. Three-dimensional computations were implemented by ANSYS FLUENT. A small-scale experimental combustor geometry was used for validation study. Turbulence modelling was performed by RNG k- ε model and the GRI-Eddy Dissipation Concept (GRI-EDC) model was used for the combustion modelling. The influence of inlet air velocity was investigated through using different air jet diameters at constant flow rate. Five different air jet diameters (4,6,8,10 and 12 mm) were studied. It was found that decreasing air jet diameter leads to an increase in the exhaust gas recirculation which reserve in mixture dilution (low O2 content mixture) subsequently, the reaction rate decreases which support the flameless mode creation. Also, this recirculated gas participates in heating up of fresh reactants which make the mixture tends to complete combustion. The influence of combustion air preheating temperature on NO and CO emissions were studied. CO and NO concentration were decreased with reducing the temperature of inlet preheated combustion air.
CubeSat attitude control via linear quadratic regulator (LQR)
Authors: Helmy M , Hafez A T , Ashry M 
Published: December 2023

AbstractThe interest in space-related activities has grown recently on a global scale. The determination and control of attitude are necessary all space duties. As it affects the satellites mission accuracy, many researches are related to it. Attitude control systems (ACS) design and modelling are represented in this paper. The mathematical models for CubeSat and reaction wheels that act as actuator and the proposed optimal control system are introduced. The proposed controller is applied to control and stabilize the CubeSat through a set of reaction wheels. The simulation results show the superior results of the proposed controller compared with traditional control systems in the presence of external disturbances and white noise. The withdraws of each control system are presented through the simulation results. The main contribution in this paper is solving the attitude control problem for a CubeSat using LQR approach in the presences of disturbances and noise.
Streak detection in astronomical images based on convolutional neural network
Authors: Elhakiem A A , Ghoniemy T S , Salama G I 
Published: December 2023

Abstract
Streak detection is important in space situational awareness and space asset protection. It is desirable to detect moving targets (e.g., satellites, space debris, or meteorites) in images of the sky. This paper presents a comparison between two astronomical frameworks for streak detection based on deep CNNs. The first framework uses the extended feature pyramid network (EFPN) with faster region-based CNNs (Faster R-CNN) and compares it with the second framework that uses the feature pyramid network (FPN) with Faster R-CNN. Because there aren’t enough publicly available astronomical data sets, we use the simulated data set to train the neural network. The metrics of mean average precision (mAP), recall, precision, and F1 score were used to measure the performance of the two frameworks. The experimental results confirmed that the EFPN-based framework achieves a significant improvement in streak detection than the Faster R-CNN framework based on the FPN model.
Designing attitude controller for nano/pico satellites at detumbling mode using magnetic sensor and actuator
Authors: Mohsen K , Ibrahim M , Kamel A M , Ashry M 
Published: December 2023

Abstract
Recently, satellites have been becoming economically attractive in many applications using the advanced technologies and payloads. Practically, the launching process of any satellite passes through some stages under different conditions. For example, the satellite might be uncontrollable in the detumbling mode. Thus, it might be a risk of accident with space debris and the satellite can not complete the specified mission. So it is necessary to design an attitude controller to stabilize the satellite after the separation phase, i.e., in the detumbling mode. In this paper, we design an attitude controller to bring the satellite to the desired condition with a minimum angular momentum. The magnetorquers and magnometers are an effective solution for the satellite in low-Earth orbits because they are smaller and lighter than others. Simulation studies are presented to validate the proposed attitude control approaches.
Generating radar signals using one-dimensional GAN-based model for target classification in radar systems
Authors: Abdelfattah T M , Ahmed F , Maher A , Youssef A 
Published: December 2023

Abstract
Conventional radar systems are often unable to produce highly accurate results for target classification and identification via linear frequency modulation (LFM) signals. The potential of artificial intelligence, particularly deep learning, has been applied in various fields, which promotes utilizing them in the context of target classification in radar systems. However, to train deep learning models for this task, large datasets of LFM radar signals are required, which are practically difficult to obtain due to the time, effort, and involved high cost. Therefore, the presented work spots the light on utilizing the recent one-dimensional generative adversarial network (GAN) and Wasserstein GAN (WGAN) models to synthesize a large time-series LFM signal dataset from a reference smaller one. Moreover, the work fairly judges the generated LFM signals realistic via a decent qualitative and quantitative analysis, unlike other studies which rely solely on qualitative evaluation by human observers. The proposed study outcome reveals the WGAN’s efficiency in synthesizing high-quality LFM signals while reducing the training time and resource requirements.
Filter bank multi-carrier based offset ternary phase shift keying(FBMC/OTPSK)
Authors: mohamed H R , Nagy A A , Abdelaziz M 
Published: December 2023

Abstract
Filter bank multi-carrier (FBMC) is a popular researched technique for wireless communications that offers several advantages over traditional orthogonal frequency-division multiplexing (OFDM) systems. In this paper, we propose a FBMC system using offset Triangle phase shift keying (TPSK) modulation (FBMC/OTPSK), analyze its bit error rate (BER) performance via additive white Gaussian noise (AWGN) channel, and compare it to that of conventional FBMC using offset quadrature amplitude modulation (FBMC/OQAM) system. Simulation results show that the proposed FBMC/OTPSK system considerably improves BER performance over FBMC/OQAM system. Additionally, we explore the impact of using ternary convolutional coding (TCC) with TPSK and binary convolutional coding (BCC) with QAM. The presented TPSK modulation encoded by TCC offers better error rate performance and minimum amplitude fluctuation compared to QAM encoded by BCC; therefore, TCC-coded OTPSK is proposed to be used with FBMC instead of BCC-coded OQAM to benefit from its lower error rates without bandwidth expansion, as well increase information carried by symbol, hence increases throughput.
Effect of sustainable/durable composite materials on dynamic performance of aircraft shelters.
Authors: Hafez M A Y , Nagy N M A , Rashad M , Ali M A E M 
Published: December 2023

Abstract
Aircraft shelter technology has been evolving over years along with the global technological revolution. They first appeared in the 20th century with the main purpose of protecting parked aircraft. Recently, they are considered a globally important topic in the aerospace field, especially for shielding military aircraft. On the other hand, the civil revolution nowadays is extremely unsustainable. The world is facing vital problems due to the massive consumption of non-renewable resources and pollution of the environment and atmosphere. Sustainability development is not an option anymore; it is the only choice to survive. Therefore, there is a demanding need to push the boundaries of sustainability and go through a green revolution by using Eco-friendly materials and searching for alternatives for non-renewable resources. In this study, sustainable composite materials that are probably used as impact shields in aircraft shelters that are cheaper than typical ones were studied. The applicability of utilizing silica fume and steel slag as partial and full replacements for non-renewable resources in the composite mixture was established. Fiberglass and steel meshes were also implemented as reinforcing elements. The performance enhancement of using such materials in composite mixtures was investigated. Results showed that utilizing silica fume and steel slag enhanced the compressive strength of sustainable composite mixtures by about 9.38%. Similarly, superior dynamic performance was achieved by approximately 800% using different reinforcement techniques.