Effect Of Load Variations On Power Quality And Ev Battery Performance In Vehicle-To-Grid System, Jitender Kaushal, Rahul Paswan

Mansoura Engineering Journal

Vehicle-to-Grid (V2G) technology enables the exchange of electricity between electric vehicles (EVs) and the utility grid, helping improve the integration of renewable energy sources and the grid's flexibility. Load-dependent power quality disturbances can affect the performance and reliability of V2G systems, which in turn can negatively impact system and battery operation. This study investigates the effect of resistive, inductive and nonlinear loads on the electrical performance and battery behaviour of a bidirectional V2G system. A complete MATLAB/Simulink model was developed to investigate the grid voltage, current, frequency, THD and the battery voltage, current and state of charge. The model uses …

Comparative Finite Element Method-Based Optimisation Of Coir Fibre Laminates: Aluminium Skins Versus Carbon Cloth Skins, Muhamed Swaleh Ahmed, Bernard Wamuti Ikua, Abel Nyakundi Mayaka

Mansoura Engineering Journal

Natural fibre composites offer a sustainable alternative to conventional composite materials. Their mechanical efficiency is influenced by laminate structure and skin material selection. This study presents a comparative finite element analysis and optimisation of coir fibre-reinforced laminates employing either aluminium skins or carbon cloth skins. COMSOL Multiphysics was used to determine their mechanical response. Optimisation was performed using the BOBYQA algorithm to enhance load sharing between the coir core and skin materials. Results indicated that aluminium-skinned laminates achieve superior compressive and flexural performance, achieving a peak compressive strength of 210 MPa and sustaining a flexural load of 0.65 kN at …

Green Hydrogen-Based Decarbonization Approach For Steel Industry With Hybrid Renewable Energy Sources, Raju Kumar Maurya, Dharmbir Prasad, Rudra Pratap Singh

Mansoura Engineering Journal

This work provides a micro-pilot techno-economic and environmental assessment of a green hydrogen-driven decarbonization scenario for low-carbon steel production at the capacity of 1 ton steel produced (i.e., requiring 50 kg of green hydrogen). In this work an integrated renewable energy (RE) scenario for the steel production site at Jamuria, West Bengal, India is planned to utilize solar photovoltaic (PV), wind turbines (WTs), battery storage and a diesel backup generator to meet the hydrogen production load from an electrolyzer using HOMER Pro software. The results show that the proposed micro-pilot system produces excess electricity with respect to the plant's operating …

Hall Current And Nth Order Chemical Reaction Effects On Unsteady 3d Mhd Williamson Nanofluid Flow With Thermophoresis And Brownian Motion Over An Inclined Stretching Sheet, Polavarapu Sudheer, Ramachandra Reddy Vaddemani, Raghunath Kodi

Mansoura Engineering Journal

This study examines the influence of Hall current and nth-order chemical reaction on unsteady three-dimensional magnetohydrodynamic (MHD) Williamson nanofluid flow over an inclined stretching sheet. The model incorporates thermal radiation, heat source, Brownian motion, and thermophoresis effects. The governing nonlinear partial differential equations are transformed into a system of ordinary differential equations using similarity transformations and solved numerically using the shooting method with a fourth-order Runge–Kutta scheme. The results indicate that an increase in the magnetic parameter significantly reduces velocity profiles while enhancing temperature and concentration distributions. The Hall parameter reduces surface drag and improves heat transfer, while decreasing mass …

Reliability-Oriented Spatiotemporal Machine Learning For High-Impact Power Outage Event Prediction, Marwa Gamal

Mansoura Engineering Journal

Power outages have become an increasing concern for modern power systems due to their impact on infrastructure reliability, economic activities, and public safety. The growing frequency of extreme weather events and the rising demand for electricity have made it more difficult to anticipate high-impact outage events. One of the main challenges in this context is the complex interaction between temporal patterns and geographic variations, which traditional methods often fail to capture effectively. This study develops a machine learning framework that combines temporal characteristics with geographic information to improve the prediction of high-impact power outages. Temporal features such as seasonal patterns, …

Construction-Phase Leed Compliance In Egypt: Development Of A Rule-Based Expert System For Contractor Decision Support, Mohamed R. Ahmed, Atef A. Ragab, Sameh Y. Mahfouz

Mansoura Engineering Journal

This study develops a rule-based expert system implemented in Python to support contractors in achieving LEED BD+C: New Construction v4 certification during the construction phase in Egypt. The research identifies and validates construction-phase obstacles affecting LEED compliance through a structured questionnaire targeting building contractors in Egypt. The questionnaire process was conducted in two stages: a pilot survey was used to screen and refine the initially identified obstacles, while the main survey was used to validate the practical relevance of the retained obstacles within the Egyptian construction context. In parallel, the study analyzes construction-phase prerequisites and credits relevant to contractors through …

Recycling Of Plastic Into Fibers Using A Novel Machine Design And Analysis Of Fiber Characteristics, Mahmoud Khamees, Nasser Ayoub, Sabreen Addullah Abdelwahab, M. M. Maghawry

Mansoura Engineering Journal

This study presents a modified extrusion-based recycling system with an improved nozzle design and controlled fiber production capability. The machine was conceptualized and fabricated to efficiently process waste plastic and extrude it into fibers of varying diameters. The study focuses on evaluating how fiber diameter influences critical material properties. Microstructural analysis by scanning electron microscopy (SEM) was conducted to investigate the morphology and fiber diameters, while tensile testing provided insights into mechanical performance, including strength and elongation. Moisture absorption tests were also performed to assess durability and environmental resistance. The results demonstrate clear correlations between fiber diameter and the examined …

Moving From Feasible Solutions To Sustainable Systems In The Built Environment, Mohammed Ali Berawi, Mustika Sari, Perdana Miraj

CSID Journal of Infrastructure Development

The built environment plays a crucial role in global sustainability efforts. Buildings, infrastructure, and cities consume large amounts of energy and materials that shape social behavior, and lock in environmental impacts. Over the past two decades, research has produced a wide range of technical solutions to reduce these impacts. Renewable energy systems, energy-efficient buildings, alternative construction materials, and new construction methods are no longer experimental concepts. Many have proven technical and economic potential. Yet, real-world transformation remains slow and uneven. This gap suggests that sustainability challenges in the built environment are no longer driven by a lack of technology. Instead, …

Barriers To The Adoption Of Modular Construction Technology In South Africa, Mokete Matoba, Christopher Amoah

CSID Journal of Infrastructure Development

Construction, mining, and manufacturing are the most significant contributors to South Africa's GDP. While manufacturing and other industries utilise advanced technologies to enhance productivity, he construction industry continues to lag behind in technological adoption. This study examines the barriers that hinder the South African construction industry from leveraging the benefits of modular construction technologies (MCT). The study employed a quantitative research method, using closed-ended questions to collect data. The questionnaires were emailed to South African construction industry professionals selected through a combination of purposive and convenience sampling. A total of 98 questionnaires were distributed, of which 46 were returned. However, …

Green Connectivity In Metropolitan Jabodetabek: Climate Change And The Challenge Of Urban Forest, Safira Maharani Putri, Hendricus Andy Simarmata

CSID Journal of Infrastructure Development

Urban areas in Indonesia, particularly the Greater Jakarta metropolitan region (Jabodetabek), are increasingly experiencing the adverse effects of climate change, such as the Urban Heat Island (UHI) phenomenon. Rapid urbanization has contributed significantly to rising greenhouse gas emissions and deteriorating environmental quality. Urban forests are one of the key solutions to mitigate these impacts; however, their spatial distribution in Jabodetabek remains suboptimal and poorly connected. This study uses NDVI as a proxy for urban forest density, where “urban forest” refers to vegetated areas within cities as defined by Presidential Regulation No. 60/2020. The research addresses the following question: How has …

Enhancing Health And Safety Practices In Construction Site In Developing Nations Through Technology Advancement In South Western Nigeria, Mubaraq Lawal, Abba Mahmud, Ismail Gbolahan Dere, Thankgod Agbo Owoicho

CSID Journal of Infrastructure Development

The construction sector plays a critical role in urban development and economic growth, yet it continues to face major challenges that threaten worker health and safety. Traditional safety measures are not always sufficient for the complex conditions found on construction sites, which creates a need for technology‑based solutions. This study investigates the relationship between technology adoption and health and safety practices in the construction industry in Lagos, Nigeria. The study identifies the major causes of site accidents, examines the level of technology use on construction sites, and reviews existing literature through both primary and secondary data. Primary data were collected …

Exploring The Horizontal Static And Dynamic Shading Devices To Minimize Cooling Load In Tropical Buildings, Hilmi Fitriatulamal, Ova Candra Dewi, Miktha Farid Alkadri, Kartika Rahmasari

CSID Journal of Infrastructure Development

Shading devices are essential for reducing solar radiation and cooling loads in buildings located in tropical climates. In the Jakarta region, the highest solar factor is observed on west- and east-facing facades, followed by north- and south-facing orientations. National building policy in Indonesia encourages facades to face north–south to reduce solar heat gain. This study explores horizontal static and dynamic shading devices on north-facing facades and evaluates their impact on cooling load reduction and daylight performance. The methodology includes calculating and simulating energy use intensity (EUI) using EnergyPlus and conducting illuminance analysis using Radiance and Grasshopper. Key parameters considered in …

Smart Building Rating System: A Comparative Analysis Of National And International Rating Systems, Amanah Hamidah, Mohammed Ali Berawi, Mustika Sari, Gunawan Saroji

CSID Journal of Infrastructure Development

Smart buildings have become a key part of the Fourth Industrial Revolution, driven by the need for efficient, sustainable, and adaptive built environments. Their importance is growing alongside Indonesia’s effort to develop smart cities. This study compares Indonesia’s national smart building certification system, established under Ministerial Regulation No. 10 of 2023, with two international systems: the European Union’s Smart Readiness Indicator (SRI) and the SmartScore certification. The analysis uses a literature review and comparative method to examine each system’s assessment criteria, scoring method, and certification tier. The findings show that Indonesia’s regulation includes six parameters, such as cybersecurity and operational …

Efficient Task Allocation Technique For Robots In Smart Warehouse Using Center Of Items (Coi) Methodology, ‪Ahmed Yahya‬‏, Mohamed S. Saraya, Ahmed I. Saleh

Mansoura Engineering Journal

Nowadays, online shopping is very important in Daily life. in 2020 During the quarantine during the spread of COVID-19, online orders increased dramatically, as a result of the great progress in fifth-generation technologies and using the Internet of Things (IoT) and industrial Internet of Things (IIoT), industry 4.0 and 5.0, fog computing, cloud computing, robots systems, and drones systems. Smart warehouses picking system becomes a Basic need and can be implemented to improve efficiency in logistics. Smart warehouses are growing more dependent on robot systems to make the process of meeting these requests more flexible and effective. Therefore, the allocation …

Optimal Sizing Of Pv Water Pumping System For Off-Grid Rural Communities, Basma Abulkheir, Eid Gouda, A. A. Hegazi, Amir Abdel Menaem

Mansoura Engineering Journal

A large population worldwide lives in remote rural communities without access to electricity due to the limited reach of national transmission networks. This creates significant challenges in accessing water, hindering improvements in living conditions for off-grid communities. Photovoltaic water pumping systems (PVWPSs) offer a viable solution to this issue, but their sustainability must be examined due to the unpredictable nature of solar radiation. This paper presents a practical techno-economic approach to optimally size a PVWPS. A Particle Swarm Optimization (PSO) algorithm is employed, considering technical and economic indicators like life cycle cost, loss of load probability and PV curtailment rate. …

A Proposed Urban Branding Strategy As Sustainable Urban Regeneration Policy, A Case Study Of Burj-Al Burullus City, Dalia S. Shebl, Kariman A. Shawky

Mansoura Engineering Journal

This study examines the importance of a branding strategy that can be applied in Burj Al-Burullus city to promote and catalyze cultural heritage branding and invest in these facilities for economic and tourism purposes. By measuring the indicators of how urban branding may be achieved. Burj Al-Burullus city is empirically examined using Identity-Based Approach. Based on profound theoretical and analytical studies, the branding concept was studied and analyzed composing a list of indicators for tangible and intangible elements that illustrate the urban branding value of cities. Followed by an analysis of Burj Al-Burullus city using GIS and city data base …

A Digital Twin Framework For Real-Time Energy Optimization: A Simulated Case Study Of The Podium Office Building, New Cairo, Egypt, Maha Fawzy Aly Anber

Mansoura Engineering Journal

The growing demand for smarter and more energy-efficient buildings has led to increasing interest in digital twin (DT) technology for building operation and management. This paper presents a DT framework developed to improve the energy performance of the Podium Office Building in Cairo Festival City, New Cairo, Egypt. A detailed EnergyPlus model, supported by Python-based tools (eppy and pyEnergyPlus), was used to test three HVAC control strategies: a baseline fixed schedule, a real-time DT-informed strategy, and a predictive optimization approach. By integrating local climate data and realistic occupancy patterns, the study assesses energy savings, CO₂ reductions, and indoor comfort improvements. …

3d-Dnn Ion-Eg Model Applications For Ionospheric Characterization Over Egypt: Mans Cors Case Study Of Vtec Variability And Nmf2/Hmf2 Mapping (2020-2024), Ismail Zaher, Zaki Zeidan, Mostafa Rabah, Mahmoud El-Mewafi

Mansoura Engineering Journal

This study introduces an operational evaluation of a deep learning–driven ionospheric modeling system tailored for Egypt, designed to overcome the limitations of conventional empirical approaches in data-sparse regions. The 3D-DNN Ion-EG model was trained on 737,110 COSMIC-2 radio occultation profiles (2020–2024), integrating spatial temporal coordinates with geophysical drivers to generate high-resolution threedimensional electron density distributions. Validation against the MANS CORS station (Mansoura University) demonstrated strong predictive skill (R2 = 0.9337; r = 0.970) under independent testing. Performance analysis across diverse geophysical regimes confirmed the model’s advantage in capturing storm-time and solar-driven disturbances, surpassing empirical models that perform best only under …

Enhancement Of Punching Shear Strength Capacity Of Interior Slab-Column Connections In Flat Slabs By Using Continuous Stirrups, Heba A. Dahroug, Hamed S. Askar, Mohamed E. El-Zoughiby, Mohamed H. Matthana

Mansoura Engineering Journal

The failure caused by punching shear is considered very dangerous because it happens suddenly. So, many researches have presented various methods to enhance the punching shear capacity by adding shear reinforcement like, vertical shear studs, stirrups or other means. In this study continuous stirrups is used as a shear reinforcement system. An experimental test includes four interior slab-column joints, of normal strength concrete, and an analytical study had been carried out to examine the efficiency of the proposed reinforcement system. The finite element analysis had been carried out by using computer program ABAQUS-V13.0 .The final results showed that, using continuous …

Parameter Identification Of A Pi Controller For A Wind Energy Conversion System Based On Dfig, Mariam Hesham, Dina S. M. Osheba, Mahmoud M. Khater

Mansoura Engineering Journal

In this work, three methods are proposed to identify parameters of PI controllers used for wind energy conversion systems based on DFIG. Mathematical model of generator and grid side system is depicted. Three tuning methods; bode-plot, pole-placement, and MATLAB tuner are used for grid side and rotor side converter controllers’ design. Wind turbine system with PI controller parameters obtained using the mentioned method is investigated via MATLAB/SIMULINK under three different scenarios. The wind system is subjected to step wind speed change, random wind speed, and sever symmetrical voltage dip in the grid. The handled comparison illustrates that the pole-placement tuning …

Folding Architecture “Origami Art-Inspired” Applicability To Sustainable Architecture- Biomuseo As A Case Study, Vitta A. Ibrahim

Mansoura Engineering Journal

The growing need for sustainable architectural solutions in the contemporary era underscores the necessity for interactive architectural applications that can adapt to changing requirements. In architecture, folding systems refer to three-dimensional, foldable structural forms that create unique spatial configurations and possess a wide range of capabilities. Drawing inspiration from origami techniques, this study emphasizes the role of folding systems in generating innovative spatial designs. The research problem arises from the fact that the built environment is a significant contributor to greenhouse gas emissions and energy consumption, necessitating the implementation of smart solutions. The goal of this study is to identify …

Green Ai-Enhanced Deep Learning Model For Breast Cancer Detection And Classification In Mammography Images: Bc-Net-512, Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

Mansoura Engineering Journal

This study champions a sustainable approach for developing a Deep Learning (DL) model for medical image analysis, specifically focusing on breast cancer (BC) detection in mammograms. By prioritizing low-computing algorithms to achieve high diagnostic accuracy while minimizing the model's environmental footprint, that aligns with the principles of Green AI. In this paper, an innovative architecture called BC-Net-512 was constructed for the classification of BC mammography. It is composed of lightweight Convolutional Neural Network (CNN) blocks for texture, density, and structure feature extraction and detection, a thin, fully connected layer for learning complex patterns and correlations in the extracted features, and …

A Modular Design And Construction Framework For Enhancing The Sustainability Of National Housing Projects In Egypt, Ayman Ahmed Ezzat, Farah Ibrahim El Sahzly

Mansoura Engineering Journal

Egypt’s national housing sector faces mounting sustainability challenges due to outdated design and construction practices that cause material waste, high costs, and inefficient resource use. This study develops a framework for integrating modular design and construction principles into Egypt’s National Housing Projects (NHPs) to strengthen their social, economic, and environmental sustainability. A mixed-method approach combined a literature review, case studies, and a survey of Egyptian Architectural Design Firms (ADFs). The literature review revealed a global consensus on the benefits of modular design and construction, such as improved efficiency, reduced waste, and faster project delivery, yet found limited adoption in Egypt …

A Comprehensive Review Of Dental Diseases Detection And Classification Based On Artificial Intelligence Techniques, Nermeen N. Noaman, Yasmin M. Alsakar, Naira E. Elazab, Waleed M. Mohamed, Mohamed E. Ezzat, Mohammed M. Elmogy

Mansoura Engineering Journal

In dentistry, many diseases, such as gum, cavities, and oral cancer, affect people of all ages. Early treatment and diagnosis are crucial for minimizing dental diseases' effect on overall health and saving money in the long run. Traditional dental diagnosis methods, such as manual probing and visual inspection, are time-consuming and can be subject to human errors. Hence, a computer-aided diagnosis system based on computer vision and artificial intelligence (AI) techniques is needed. The considerable progress in computer vision and AI techniques offers many possibilities in dental diagnosis based on dental X-ray imaging modalities. Dental X-rays are used to diagnose …

Evaluating Traffic Safety And Geometric Characteristics Using Machine Learning Ensemble Techniques: A Case Study Of Egyptian Rural Multi-Lane Divided Roads, Sania R. Elagamy, Ahmed N. Awaad, Usama E. Shahdah, Sherif M. El-Badawy, Marwa E. Elbany, Eman K. Ali

Mansoura Engineering Journal

Crash prediction models are essential for evaluating traffic safety by analyzing crash occurrence, frequency, or severity. Recently, machine learning techniques have gained prominence in statistical regression modeling and data analysis. This study assesses the effectiveness of machine learning in predicting crashes on Egyptian rural multi-lane divided roads using limited regional data. Supervised machine learning ensemble techniques were applied to predict crash-prone segments (classification) and estimate the total number of crashes per segment (regression). A comparative analysis aims to identify the most suitable method. The Synthetic Minority Oversampling Technique (SMOTE) addressed data imbalance, while K-means Clustering (KC) enhanced regression model accuracy, …

Hybrid Machine And Deep Learning Framework For Secure Fog-Based Vanets, Hadeer Kamal, Amira Y. Haikal, Mahmoud M. Saafan

Mansoura Engineering Journal

As a conventional implementation of intelligent transportation systems (ITS), a Vehicular Ad-hoc Network (VANET) facilitates smart communication between vehicle nodes and network infrastructures. Nevertheless, the distributed and dynamic characteristics of VANETs make them vulnerable to numerous cyberattacks like DOS and spoofing. Rapid detection of these threats is crucial. It is essential to respond promptly to mitigate threats before they impact vehicle coordination or infrastructure functionality. In this context, fog computing presents an effective solution. Transferring computational tasks from centralized cloud servers to fog nodes allows for quicker detection within the VANET environment. This research utilizes computational resources for swift and …

Integration Of Algae In Buildings: Challenges And Opportunities, Marwa Said Saad, Mostafa Refaat, Ashraf Nessim

Mansoura Engineering Journal

Buildings produce 40% of energy-associated CO2 emissions and 35% of worldwide energy use which makes it one of the main factors of global warming. The use of bioactive materials on building façades is a creative way to address the aforementioned problems. The biotechnical potential of microalgae architecture to achieve net-zero energy architecture while simultaneously advancing ecological sustainability and occupant well-being has drawn attention. This paper aims to analyzing and investigating techniques of integration of algae in architecture showing the challenges and opportunities of this implementation. Analytical and Comparative analytical method were used in this paper, Initially, a thorough literature review …

Information Management / Bim Technology Evaluation Methodology, Robert Moore

Tools

This technology evaluation method provides a structured and transparent approach for assessing digital tools that support Information Management and Building Information Modelling (BIM). It establishes consistent criteria for evaluating functionality, interoperability, usability, compliance with standards such as ISO 19650, and alignment with organisational needs. The method supports objective comparison, informed decision-making, and proportionate investment, ensuring that technology acts as an enabler of defined processes rather than a driver in itself. Overall, it helps organisations select and implement technology solutions that are fit for purpose, scalable, and supportive of long-term Information Management / BIM adoption and continuous improvement.

Information Management / Bim Public Sector Adoption Business Case, Robert Moore

Tools

This business case sets out the value of adopting Information Management and BIM in line with ISO 19650 and the Irish CWMF. It shows how a structured approach to managing information across the asset lifecycle can improve collaboration, reduce risk and rework, and deliver measurable returns on investment. Evidence indicates that early adoption delivers the greatest benefit, supporting better cost control, compliance, and long-term asset performance. Overall, Information Management and BIM are positioned as essential enablers for efficient, sustainable, and future-ready delivery of public works

Information Management / Bim Technology Deployment Strategy, Robert Moore

Tools

This technology deployment strategy sets out a coordinated approach for implementing and rolling out digital tools to support Information Management and Building Information Modelling (IM/BIM). It focuses on aligning technology deployment with agreed processes, governance, and user capability, ensuring systems are configured, tested, and adopted effectively. The strategy emphasises phased deployment, risk management, training, and support, enabling organisations to embed technology in a controlled and sustainable manner. Overall, it provides a clear framework for turning selected technologies into reliable, value-adding enablers of consistent, standards-aligned IM/BIM delivery.