{"title":"Metaheuristics and multi-criteria decision-making for renewable energy systems: Review, progress, bibliometric analysis, and contribution to the sustainable development pillars","authors":"","doi":"10.1016/j.asej.2024.102883","DOIUrl":"10.1016/j.asej.2024.102883","url":null,"abstract":"<div><p>Achieving sustainable development goals requires integrating renewable energy systems (RESs) into our current energy infrastructure. However, sophisticated approaches are needed due to the complexity of decision-making. In the context of RESs, this study provides a thorough evaluation, progress report, bibliometric analysis, and assessment of metaheuristic algorithms and multi-criteria decision-making methodologies. Through an extensive review of academic literature, this study highlights the potential of metaheuristics to improve sustainable development decision-making processes by emphasizing important trends and developments. The study also examines how these approaches promote efficient resource allocation, reduce environmental impacts, and increase societal benefits to address the economic, social, and environmental pillars of sustainable development. The summary of results highlights the important roles that metaheuristics and multi-criteria decision-making play in effectively integrating and administrating RESs.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2090447924002582/pdfft?md5=729c4069f55e96adca0e7b6b254a13f8&pid=1-s2.0-S2090447924002582-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141638201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on properties of reinforced concrete structures in seismic regions","authors":"","doi":"10.1016/j.asej.2024.102927","DOIUrl":"10.1016/j.asej.2024.102927","url":null,"abstract":"<div><p>This paper aims to explore the effects of earthquakes on the properties of medium-height reinforced concrete houses in China. The results demonstrated a significant decrease in ultrasonic resonance frequency, indicating structural damage, with reductions of 26.5 %, 30.2 %, and 37 % observed for earthquakes of magnitudes 5.0, 5.3, and 5.7, respectively. Similarly, the dynamic modulus of elasticity exhibited a reduction of over 50 %. Measurements of carbonation depth revealed values of 34.65 mm, 38.97 mm, and 46.12 mm for earthquakes of magnitudes 5.0, 5.3, and 5.7, respectively. Accordingly, the percentage of mass loss amounted to 22.17 %, 36.87 %, and 49.78 %. Furthermore, experiments identified the least favourable outcomes during maximum seismic activity, with a recorded peak stress of 447.3 MPa at a deformation of 0.63 mm. These findings contribute to a better understanding of the impact of seismic events on reinforced concrete structures and the associated corrosion mechanisms.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2090447924003022/pdfft?md5=d6741d6c8a1716df369cf14ae1876990&pid=1-s2.0-S2090447924003022-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving sea level prediction in coastal areas using machine learning techniques","authors":"","doi":"10.1016/j.asej.2024.102916","DOIUrl":"10.1016/j.asej.2024.102916","url":null,"abstract":"<div><p>The objective of the current study is to investigate the effectiveness of specifically the Support Vector Machine (SVM) and the k-Nearest Neighbors (kNN) models for sea level prediction. The SVM and kNN models are compared using the predicted data determined by the machine learning model’s performance. Thirteen models were trained precisely and properly throughout the machine learning process. The results showed that SVM models provide good performance during the training process and attained relatively poor performance during testing process. On the other hand, the KNN model showed consistent performance for both training and testing process. Regarding the effectiveness of different kernels of the SVM algorithm, the Radial Basis Function (RBF) kernel is the most suitable, which provides the finest analysis for the sea level rise dataset and acceptable values for RSME, MAE, and R<sup>2</sup>.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2090447924002910/pdfft?md5=859819e9ba959078bb85ad2f6f9b4d72&pid=1-s2.0-S2090447924002910-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimizing local electricity markets: A bi-level primal-dual approach for integrating price-based demand response and distribution locational marginal pricing","authors":"","doi":"10.1016/j.asej.2024.102929","DOIUrl":"10.1016/j.asej.2024.102929","url":null,"abstract":"<div><p>This paper addresses the conundrum of optimizing electricity consumption patterns in response to fluctuations in demand and price, a task managed by both load aggregators and the distribution system operator (DSO). The conventional approaches in the literature to integrate demand response (DR) into optimal power flow (OPF) problems typically overlook the price responsiveness of consumers or simplify power flow equations to account for price-elastic demand.</p><p>In this paper, we strive to close this gap by introducing a bi-level primal-dual optimization framework that incorporates aggregators' objectives into the market-clearing process while preserving the precision of the OPF equations. At the upper level, the model seeks to minimize both the total payment and peak load. The lower level, structured as a second-order conic (SOC) problem, aims to reduce overall generation costs subject to constraints of the second-order conic (SOC) branch flow model (BFM). The two levels interact through the optimal demand response and distribution locational marginal prices (DLMPs). The principles of convex duality principles together with the strong duality constraint are leveraged to transform the market-clearing problem into a single primal-dual problem. We also circumvent the non-linearity that stems from the DR payment term by incorporating discretizing loads and the big-<em>M</em> method, thus converting the problem into a mixed-integer SOC (MI-SOC) formulation. The merits of the proposed MI-SOC framework are validated through case studies conducted on the IEEE 33-bus test system, showcasing its potential to enforce price-elasticity demand response in distribution system's electricity markets.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2090447924003046/pdfft?md5=4324b094b5853953899f240943b28b89&pid=1-s2.0-S2090447924003046-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advancements in battery thermal management for electric vehicles: Types, technologies, and control strategies including deep learning methods","authors":"","doi":"10.1016/j.asej.2024.102908","DOIUrl":"10.1016/j.asej.2024.102908","url":null,"abstract":"<div><p>As electric vehicles (EVs) become more commonplace, the development and deployment of advanced battery thermal management (BTM) technologies are vital for increasing the sturdiness of EV batteries, ultimately contributing to the sustainable and massive adoption of electric mobility. This study comprehensively evaluates new advancements in BTM systems for EVs, supplemented with a comparative evaluation of various BTM technologies, including active and passive cooling strategies, structure design, and advanced control algorithms, including deep learning methods. The study also scrutinizes the software’s capabilities employed for designing BTM systems. The cross-relevant papers related to BTM systems from 2019 to early 2024, which rely on Scopus and Web of Science databases, are considered. The comparative evaluation explores the strengths and obstacles of different BTM processes, shedding light on their efficacy under varying operational conditions. Additionally, this study discusses the impact of BTM on overall EV efficiency from the perspective of thermal considerations. Insights into current research trends, innovations, and emerging trends in the field are also presented. Ultimately, this state-of-the-art study aims to thoroughly understand the latest BTM for EVs. The findings offer insightful information for scientists, engineers, and professionals pursuing sustainable transportation development and the continuous enhancement of EV technology.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2090447924002831/pdfft?md5=52010772b5d6df8488b85b153cd3c6a9&pid=1-s2.0-S2090447924002831-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Selective crushing, enrichment by friction properties and hydrophobization for obtaining the sustainable blast furnace slag aggregate for road subbase","authors":"","doi":"10.1016/j.asej.2024.102928","DOIUrl":"10.1016/j.asej.2024.102928","url":null,"abstract":"<div><p>Air-cooled blast furnace slag is a metallurgical waste that can be used to produce the slag aggregate for pavement subbase. Slag aggregate is much cheaper than natural stone aggregate, but differs in heterogeneity in strength (from 2 to 40 MPa), tendency to absorb water, and low resistance to freezing-thawing. The paper suggests the use of methods of enrichment by friction properties, selective crushing, and hydrophobization to increase slag aggregate resistance to freezing-thawing cycles, crushing, and water penetration. Selection of the most strength (low porous) 75 % slag aggregate grains due to enrichment by friction properties decreases the total water absorption of the sample from 4.45 % to 3.64 %, decreases the sample mass loss after tests for resistance to freezing-thawing cycles from 5.05 % to 2.82 %, reduces the aggregate crushing value (ACV) from 30.71 % up to 23.80 %. Hydrophobization of the pre-enriched slag aggregate additionally reduces its water absorption to 1.08–––1.3 %.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2090447924003034/pdfft?md5=8bdf00c755f8f4bbbda94a06ecb71410&pid=1-s2.0-S2090447924003034-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An analysis of the environmental effects of three types of concrete: Ready-mixed, reactive powder, and geopolymer","authors":"","doi":"10.1016/j.asej.2024.102926","DOIUrl":"10.1016/j.asej.2024.102926","url":null,"abstract":"<div><p>This study assesses the effects of three forms of concrete: geopolymer concrete, reactive powder concrete (RPC), and ready-mix concrete (RMC) on the environment, the economy, and sustainability. Evaluating their cost-effectiveness for construction, embodied energy (EE), and embodied carbon (EC) is the aim. The research method employed involves calculating the EE, EC, and cost of materials used during the production stage only. The results show that although RMC gives ease at a high carbon emission cost, RPC delivers great strength at a high cost and emissions. Utilizing waste resources, geopolymer concrete lowers emissions while providing sustainability. Reusing waste materials improves the performance of concrete and lowers pollution. The study emphasizes that, especially when waste is used well, strength need frequently translate into expense. RMC has a major negative influence on the environment while guarantees consistent quality. Despite its strength, RPC has issues with cost and material availability. The strength and emission reduction of geopolymer concrete are excellent. In geopolymers, alkali activators and steel fibers are the source of EE and EC, whereas cement and steel fibers are the reason for their high levels in RMC and RPC. Overall, the research indicates that favorable, ecologically friendly results are feasible obtained by improving the composition of concrete. To provide cost-effective and sustainable concrete compositions and enable well-informed decision-making in building projects, ongoing research and innovation are crucial.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2090447924003010/pdfft?md5=3225a14c3eb1d7b38a222ffcb3b01e47&pid=1-s2.0-S2090447924003010-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Full optoelectronic simulation of all antimony chalcogenide thin film tandem solar cell: Design routes from 4-T to 2-T configuration","authors":"","doi":"10.1016/j.asej.2024.102919","DOIUrl":"10.1016/j.asej.2024.102919","url":null,"abstract":"<div><p>Antimony chalcogenide, as a newcomer to light harvesting materials, is regarded as an auspicious contender for incorporation as a photoactive layer in thin film tandem solar cells (TFTSCs). The current study introduces the design of all-antimony chalcogenide TFTSC comprised of an Sb<sub>2</sub>S<sub>3</sub> (1.7 eV) front subcell and an Sb<sub>2</sub>Se<sub>3</sub> (1.2 eV) rear subcell. The challenges to migrating from four-terminal (4-T) to two-terminal (2-T) designs are highlighted and possible solutions are proposed. To commence, a calibration procedure for the two subcells is conducted in alignment with experimental investigations. The benchmarked solar cells yield a power conversion efficiency (PCE) of 8.08 % for the upper subcell and 10.58 % for the lower subcell. Subsequently, upon integration of both subcells within the initial 4-T Sb<sub>2</sub>S<sub>3</sub>/Sb<sub>2</sub>Se<sub>3</sub> TFTSC, the resultant PV cell attains a PCE of 12.27 %. Before transitioning it to a more efficient 2T tandem configuration, we explore alternative inorganic HTL materials to the Spiro-OMeTAD HTL to overcome its practical considerations. Cu<sub>2</sub>O is found to be the best HTL alternative to be included for both subcells. Upon stacking into the tandem structure, the combined cell exhibited an efficiency of 15.68 % and a notable <em>J<sub>sc</sub></em> of 16.23 mA/cm<sup>2</sup>. To further enhance the tandem performance, the device structure is optimized by engineering the CBO of two sub-cells and employing a double ETL design for the front sub-cell. At the considered current matching criterion, the tandem device PCE and <em>J<sub>sc</sub></em> are boosted to 27.86 % and 17.60 mA/cm<sup>2</sup>, respectively. Based on this full optoelectronic analysis, developed in the Silvaco TCAD environment, a 2-T all antimony chalcogenide tandem configuration can be realized and optimized, paving the way for future experimental endeavors.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2090447924002946/pdfft?md5=12a15b6337cb9b9678f7939956362adc&pid=1-s2.0-S2090447924002946-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141573628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamics and wave analysis in longitudinal motion of elastic bars or fluids","authors":"","doi":"10.1016/j.asej.2024.102907","DOIUrl":"10.1016/j.asej.2024.102907","url":null,"abstract":"<div><p>We look at the bifurcation analysis, chaotic behavior, multistability, and sensitivity analysis of the van der Waals equation, which is used in science and engineering to study the dynamics of various structures. The variant van der Waals equation covers one-dimensional longitudinal isothermal motion in elastic bars or fluids, which is the main focus of this research. The Galilean transformation transfers the given model into a planar dynamical system. The power series methodology produces exact wave solutions. In addition, after accounting for the perturbation component, sensitivity analysis for various initial value problems is used to investigate quasi-periodic, chaotic, and time series behavior. Numerical simulation results show that influencing viscosity and the coefficient of interfacial capillarity influence the dynamical factors of the examined model. We are observing what happens with viscosity and the interface coefficients to the wave solution. In some cases, for different parameter values, we present plots of both one-dimensional and two-dimensional graphical representations of individual solutions.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S209044792400282X/pdfft?md5=442ba913d5857af4430b4377f310323b&pid=1-s2.0-S209044792400282X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"BoostedDim attention: A novel data-driven approach to improving LiDAR-based lane detection","authors":"","doi":"10.1016/j.asej.2024.102887","DOIUrl":"10.1016/j.asej.2024.102887","url":null,"abstract":"<div><p>Lane detection is a fundamental component of advanced driver assistance systems, facilitating critical functionalities like Lane Keep/Change Assistance, Lane Departure Warning, Adaptive Cruise Control, and Vehicle Localization. Despite significant advancements in camera-based lane detection, it continues to confront challenges that can be effectively addressed with LiDAR technology. This research contributes to the domain of LiDAR-based lane detection across three pivotal areas. Firstly, we introduce the BoostedDim Attention method, enhancing traditional Multi-Head Self-Attention (MHA) calculations within the shallow Vision Transformers-based K-Lane baseline model. This method excels, particularly in demanding scenarios, including unknown and nighttime conditions at short ranges (0–30 m) and daytime scenarios for long ranges (30–50 m). Secondly, we devise distance-based True Positive Rate (TPR) and Lateral Error evaluation metrics, providing a more precise and tailored approach to evaluating model performance compared to conventional metrics. These metrics consider sensor-specific and task-specific factors, offering a comprehensive assessment of LiDAR-based lane detection capabilities. Lastly, our investigation sheds light on the significance of calibrated reflectivity and intensity data, revealing their impact on lane detection under various lighting conditions. Notably, we highlight the positive influence of intensity data in low-light conditions for short ranges and its adverse effect during daytime for long ranges. These findings have significant implications for enhancing autonomous driving applications and other computer vision tasks.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2090447924002624/pdfft?md5=e5e4c10b86d2a6c47ed4a40be213c22f&pid=1-s2.0-S2090447924002624-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}