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Effective waste management is of paramount importance as it contributes significantly to environmental preservation, mitigates health hazards, and aids in the preservation of precious resources. Conversely, mishandling waste not only presents severe environmental risks but can also disrupt the balance of ecosystems and pose threats to biodiversity. The emission of carbon dioxide, methane, and greenhouse gases (GHGs) can constitute a significant factor in the progression of global warming and climate change, consequently giving rise to atmospheric pollution. This pollution, in turn, has the potential to exacerbate respiratory ailments, elevate the likelihood of cardiovascular disorders, and negatively impact overall public health. Hence, efficient management of trash is extremely crucial in any society. It requires integrating technology and innovative solutions, which can help eradicate this global issue. The internet of things (IoT) is a revolutionary communication paradigm with significant contributions to remote monitoring and control. IoT-based trash management aids remote garbage level monitoring but entails drawbacks like high installation and maintenance costs, increased electronic waste production (53 million metric tons in 2013), and substantial energy consumption for always-vigilant IoT devices. Our research endeavors to formulate a comprehensive model for an efficient and cost-effective waste collection system. It emphasizes the need for global commitment by policymakers, stakeholders, and civil society, working together to achieve a common goal. In order to mitigate the depletion of manpower, fuel resources, and time, our proposed method leverages quick response (QR) codes to enable the remote monitoring of waste bin capacity across diverse city locations. We propose to minimize the deployment of IoT devices, utilizing them only when absolutely necessary and thereby allocating their use exclusively to central garbage collection facilities. Our solution places the onus of monitoring garbage levels at the community level firmly on the shoulders of civilians, demonstrating that a critical aspect of any technology is its ability to interact and collaborate with humans. Within our framework, citizens will employ our proposed mobile application to scan QR codes affixed to waste bins, select the relevant garbage level, and transmit this data to the waste collection teams’ database. Subsequently, these teams will plan for optimized garbage collection procedures, considering parameters such as garbage volume and the most efficient collection routes aimed at minimizing both time and fuel consumption.

The COVID-19 pandemic represents a type of force majeure that significantly and unexpectedly affected all human lifestyles. This study includes an integrative review of articles published across Scopus and Web of Science journals and compiled using the systematic review methodology based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement and VOSreview (visualization of similarities) software by defining keywords that include “construction industry” and “force majeure” and “environmental risks” as a starting point. Moreover, the research years and the countries covered by this research were determined in a second stage. Finally, the abstracts of selected studies were reviewed in order to extract factors similar to the pandemic conditions of COVID-19 along with the brief results of the research. Out of 6384 publications identified and 56 publications reporting, 20 studies fulfilled the inclusion criteria with full text. Based on our findings, there has been a continuous growth of publications on construction risk and environmental research since 2010. Malaysia had the greatest contribution to the research topic of the countries covered by the study, followed by Egypt. The Engineering, Construction and Architectural Management journal published the greatest number of publications related to the research topic. In this review, the most important previous studies are classified according to their handling of force majeure and environmental risks and the most important factors mentioned in these studies are identified. In addition, recommendations are made for dealing with the COVID-19 pandemic and for mitigating its effects on the construction industry in the Arab world and Malaysia. The results of this review will benefit researchers and construction companies alike in furthering research on reducing the risks of COVID-19 to construction projects and avoiding the significant economic loss that results from stopping these projects.

A method is presented for constructing fundamental solutions for the Helmholtz operators Δ ± k2 in Rn in terms of the fundamental singularity for the Laplacian Δ. The feasibility of representing a fundamental solution for Δ2 − k4 by forming convolutions of such solutions is also discussed.

Alkali activated concretes have emerged as a prospective alternative to conventional concrete wherein diverse waste materials have been converted as valuable spin-offs. This paper presents a wide experimental study on the sustainability of employing waste sawdust as a fine/coarse aggregate replacement incorporating fly ash (FA) and granulated blast furnace slag (GBFS) to make high-performance cement-free lightweight concretes. Waste sawdust was replaced with aggregate at 0, 25, 50, 75, and 100 vol% incorporating alkali binder, including 70% FA and 30% GBFS. The blend was activated using a low sodium hydroxide concentration (2 M). The acoustic, thermal, and predicted engineering properties of concretes were evaluated, and the life cycle of various mixtures were calculated to investigate the sustainability of concrete. Besides this, by using the available experimental test database, an optimized Artificial Neural Network (ANN) was developed to estimate the mechanical properties of the designed alkali-activated mortar mixes depending on each sawdust volume percentage. Based on the findings, it was found that the sound absorption and reduction in thermal conductivity were enhanced with increasing sawdust contents. The compressive strengths of the specimens were found to be influenced by the sawdust content and the strength dropped from 65 to 48 MPa with the corresponding increase in the sawdust levels from 0% up to 100%. The results also showed that the emissions of carbon dioxide, energy utilization, and outlay tended to drop with an increase in the amount of sawdust and show more the lightweight concrete to be more sustainable for construction applications.

The growing population and increasing urbanization have led to a surge in domestic wastewater generation, posing significant challenges for effective and sustainable treatment. The present study demonstrates a novel and sustainable approach for the onsite treatment of domestic wastewater using an integrated settler-based biofilm reactor (ISBR) with efficient biogas generation. The ISBR provides an optimized environment for the growth of biofilm, facilitating the removal of organic pollutants and pathogens. Moreover, the ISBR enables the recovery of a valuable resource in the form of biogas, thus enhancing the overall utility of the treatment process. The performance of the ISBR was comprehensively evaluated at laboratory scale through treating the actual domestic wastewater generated from the hostel of Manipal University Jaipur. The ISBR system was operated under an ambient environment at a hydraulic retention time (HRT) of 24 h. The results demonstrated remarkable efficiency in terms of chemical oxygen demand (COD), total suspended solids (TSS), and coliforms removal, with average removal efficiency being more than 90%. According to the COD mass balance analysis, 48.2% of the influent COD was recovered as bioenergy. The chromatogram revealed a high percentage of methane gas in the collected biogas sample. The field emission scanning electron microscope (FESEM) analysis of the accumulated sludge in the ISBR system depicted the morphology of methanogenic bacteria. Both the experimental and theoretical results confirmed the feasibility and sustainability of the ISBR system at the onsite level.

Cette étude examine les caractéristiques des profils de vitesse, de champ thermique et d'entropie pour l'écoulement de nanofluides hybrides traversant une feuille d'amidonnage avec un rayonnement thermique. Les nanotubes de carbone (SWCNT et MWCNT) sont utilisés comme nanoparticules avec flux de chaleur Cattaneo-Christov (CC). L'éthylène glycol est utilisé comme fluide de base dans ce cas. Pour obtenir une solution améliorée, l'écoulement de fluide sur les propriétés géométriques est conçu en utilisant des PDE hautement non linéaires, et les équations gouvernantes doivent être converties en systèmes d'équations non similaires sans dimension en utilisant le schéma de Keller-box bien connu et très efficace dans le logiciel de calcul Matlab. La faisabilité pratique de ces solutions est déterminée par la plage des paramètres de contrôle. La distribution de vitesse diminue à mesure que l'estimation des paramètres magnétiques augmente, cependant, le champ de température et la production d'entropie augmentent à mesure que la fluctuation des paramètres magnétiques diminue. Au fur et à mesure que le paramètre de glissement augmente, le champ de vitesse diminue. Le champ thermique est amélioré pour augmenter le paramètre de rayonnement, et le profil d'entropie est renforcé pour augmenter les valeurs des paramètres de Brinkman. Les résultats de cette recherche pourraient avoir un impact significatif sur les industries où le refroidissement et le chauffage locaux par jets d'impact sont nécessaires dans les appareils électroniques, les dissipateurs thermiques, les technologies de séchage, etc. À la connaissance des auteurs, il s'agit du premier effort visant à utiliser un nanofluide hybride pour analyser la formation d'entropie due au flux magnétohydrodynamique sur une feuille d'amidonnage. Este estudio examina las características de los perfiles de velocidad, campo térmico y entropía para el flujo híbrido de nanofluidos que pasa a través de una lámina de almidón con radiación térmica. Los nanotubos de carbono (SWCNT y MWCNT) se utilizan como nanopartículas con flujo de calor Cattaneo-Christov (CC). El etilenglicol se utiliza como fluido base en este caso. Para lograr una solución mejorada, el flujo de fluido sobre las propiedades geométricas se diseña utilizando PDE altamente no lineales, y las ecuaciones gobernantes deben convertirse en sistemas de ecuaciones no similares adimensionales utilizando el conocido esquema de Keller-box altamente eficiente en el software computacional MATLAB. La viabilidad práctica de estas soluciones está determinada por el rango de los parámetros de control. La distribución de velocidad se reduce a medida que aumenta la estimación del parámetro magnético, sin embargo, el campo de temperatura y la producción de entropía aumentan a medida que la fluctuación del parámetro magnético se aclara. A medida que aumenta el parámetro de deslizamiento, el campo de velocidad disminuye. El campo térmico se mejora para aumentar el parámetro de radiación, y el perfil de entropía se aumenta para aumentar los valores de los parámetros de Brinkman. Los hallazgos de esta investigación podrían tener un impacto significativo en las industrias donde se necesita refrigeración local y calefacción a través de chorros de choque en dispositivos electrónicos, disipadores de calor, tecnologías de secado, etc. Según el conocimiento de los autores, este es el primer esfuerzo para emplear un nanofluido híbrido para analizar la formación de entropía debido al flujo magnetohidrodinámico sobre una lámina de almidón. This study examines the characteristics of the velocity, thermal field and entropy profiles for hybrid nanofluid flow passing through a starching sheet with thermal radiation. The carbon nanotube (SWCNT and MWCNT) are used as a nanoparticles with Cattaneo-Christov (CC) heat flux. Ethylene glycol is utilized as a base fluid in this case. To achieve an improved solution, the fluid flow over the geometric properties is designed using highly non-linear PDEs, and the governing equations must be converted into dimensionless non-similar equation systems using the highly efficient well-known Keller-box scheme in computational software MATLAB. The practical feasibility of these solutions is determined by the range of the controlling parameters. The velocity distribution reduces as the magnetic parameter estimate increases, however, the temperature field and entropy production increase as the magnetic parameter fluctuation esclates. As the slip parameter is increased, the velocity field diminish. The thermal field is enhanced for rising the radiation parameter, and the entropy profile is boosted for increasing Brinkman parameter values. The findings of this research might have a significant impact on industries where local cooling and heating via impingement jets are needed in electronic devices, heat sinks, drying technologies, and so on. To the best of the authors' knowledge, this is the first effort to employ a hybrid nanofluid to analyze entropy formation due to magnetohydrodynamics flow over a starching sheet. تبحث هذه الدراسة في خصائص ملامح السرعة والحقل الحراري والانتروبيا لتدفق السوائل النانوية الهجينة التي تمر عبر ورقة النشا مع الإشعاع الحراري. يتم استخدام الأنبوب النانوي الكربوني (SWCNT و MWCNT) كجسيمات نانوية مع تدفق حراري Cattaneo - Christov (CC). يستخدم جلايكول الإيثيلين كسائل أساسي في هذه الحالة. لتحقيق حل محسّن، تم تصميم تدفق المائع عبر الخصائص الهندسية باستخدام PDEs غير خطية للغاية، ويجب تحويل المعادلات الحاكمة إلى أنظمة معادلات غير متشابهة بلا أبعاد باستخدام مخطط Keller - box المعروف عالي الكفاءة في البرنامج الحاسوبي MATLAB. يتم تحديد الجدوى العملية لهذه الحلول من خلال نطاق معلمات التحكم. ينخفض توزيع السرعة مع زيادة تقدير المعلمة المغناطيسية، ومع ذلك، يزداد مجال درجة الحرارة وإنتاج الإنتروبيا مع تذبذب المعلمة المغناطيسية. مع زيادة معامل الانزلاق، يتناقص مجال السرعة. يتم تعزيز المجال الحراري لرفع معلمة الإشعاع، ويتم تعزيز ملف تعريف الإنتروبيا لزيادة قيم معلمة برينكمان. قد يكون لنتائج هذا البحث تأثير كبير على الصناعات التي تحتاج إلى التبريد والتدفئة المحليين عبر نفاثات الاصطدام في الأجهزة الإلكترونية وأحواض الحرارة وتقنيات التجفيف وما إلى ذلك. على حد علم المؤلفين، هذا هو أول جهد لتوظيف مائع نانوي هجين لتحليل تكوين الإنتروبيا بسبب تدفق الديناميكا المائية المغناطيسية على ورقة النشا.

One of the most important concerns in the planning and operation of an electric power generation system is the effective scheduling of all power generation facilities to meet growing power demand. Economic load dispatch (ELD) is a phenomenon where an optimal combination of power generating units is selected in such a way as to minimize the total fuel cost while satisfying the load demand, subject to operational constraints. Different numerical and metaheuristic optimization techniques have gained prominent importance and are widely used to solve the nonlinear problem. Although metaheuristic techniques have a good convergence rate than numerical techniques, however, their implementation seems difficult in the presence of nonlinear and dynamic parameters. This work is devoted to solving the ELD problem with the integration of variable energy resources using a modified directional bat algorithm (dBA). Then the proposed technique is validated via different realistic test cases consisting of thermal and renewable energy sources (RESs). From simulation results, it is observed that dBA reduces the operational cost with less computational time and has better convergence characteristics than that of standard BA and other popular techniques like particle swarm optimization (PSO) and genetic algorithm (GA).

There are many renewable energy sources available, especially wind energy, but it is not being fully utilized. In the wind energy industry, Wind Power Potential (WPP) is essential since it is critical to the development, operation, and optimization of wind power plants. WPP plays a significant role in the wind energy project life cycle, impacting site selection, project viability, technology choices, and ultimate success. This means that specific WPP for certain places need to be determined for development in wind industry.The goal of this study is to conduct a statistical comparison and analysis of the efficacy of various numerical methods, including the method of moments (MoM), the energy pattern factor method (EPFM), the maximum likelihood method (MLM), the energy density method (EDM), the energy pattern factor method of Sathyajith (EPFMS), Rayleigh's distribution (Rayl), and the novel energy pattern factor method (NEPFM). These methods are compared for different sites of Andhra Pradesh India. The NEPFM is considered the most effective approach for assessing the wind energy density in the regions of Visakhapatnam, Amaravati, and Tirupati. Conversely, the MLM (Modified Logarithmic Model) technique has demonstrated superior performance in evaluating the wind energy potential specifically for the Rajamahendravaram site. The Rayleigh distribution, also known as Rayl., was utilized as the primary approach for calculating the probability density of the geographical sites of Visakhapatnam, Rajamahendravaram, and Amaravati. Additionally, the energy pattern factor method was employed to analyze the site of Tirupati. The Rayleigh distribution is found to be the most suitable statistical model for estimating the cumulative density of site locations in Visakhapatnam and Amaravati. Similarly, the innovative energy pattern factor technique is recommended for analyzing the cumulative density of site locations in Rajamahendravaram and Tirupati.