Asia Pacific Journal of Energy and Environment
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Artificial Intelligence in 5G Technology: Overview of System Models
The occurrence of various devices that are interlinked to provide advanced connectivity throughout the systems revolves around the formation of 5G systems. Artificial Intelligence plays a fundamental role in the 5G networks. The popularity and integration of 5G have emerged through advanced cellular networks and many other technologies. This innovative and speedy network has built strong connections in recent years, its conduct in business, personal work, or daily life. Artificial Intelligence and edge computing devices have optimized internet usages in everyday life. The growth of 5G networks is effective in the AI/ML algorithms due to its low latency and high bandwidth, which also performs real-time analysis, reasoning, and optimization. The 5G era has fundamental features that are highlighted among the revolutionary techniques which are most commonly used by cellular device networks, such as the resource management of radio, mobility management, and service management, and so on. This work also integrates the selection of spectrum and access the spectrum which AI-based interface to accomplish demands of 5G. The strategies which are introduced are Fractional Knapsack Greedy-based strategy and Language Hyperplane approach which becomes the basis of subsequently utilized by strategies of Artificial Intelligence for purpose of the selection of spectrum and the right allocation of spectrum for IoT-enabled sensor networks.
 
An Overview of Environmental Scalability and Security in Hybrid Cloud Infrastructure Designs
The practice of using IT resources via the internet with pay-as-you-go pricing is known as cloud computing. The cloud computing market has grown dramatically in the last few years. Most companies are transmitting from on-premises data centers to cloud computing. You can use the cloud as an alternative to purchasing and maintaining computer hardware and software. You can spend time, energy, or money doing everything yourself. This paper presents an overview of the architecture, scalability, economics, consistency-availability-partition, transactions, and security of cloud-based system designs. This study assesses the current cloud development ecosystem using various criteria
Green Chemistry Approaches to Vulcanization: Reducing Environmental Impact in Rubber Manufacturing
To lessen its environmental influence, this study explores using green chemical techniques in rubber manufacturing vulcanization procedures. The primary goals are investigating bio-based additives, innovative catalysts, ionic liquids, renewable energy sources, circular economy strategies, and life cycle assessment techniques. From a methodological standpoint, the study uses an extensive literature review to investigate the present status of industry practices and research in green chemistry for vulcanization. Important discoveries demonstrate how innovative catalysts, ionic liquids, and bio-based additives can reduce environmental damage while boosting process effectiveness. Furthermore, combining the concepts of the circular economy with renewable energy sources is a potential approach to sustainability. The policy implications highlight the necessity of creating regulatory frameworks, encouraging cooperation, and providing incentives for research and development to facilitate the shift to more environmentally friendly vulcanization procedures. This study emphasizes how critical it is to adopt green chemistry ideas to accomplish environmental responsibility and long-term sustainability in the rubber industry
An Optimal Cloud Based Electric Vehicle Charging System
With the evolution of the internet-of-things and the emergence of cloud computing, the charging dynamics of vehicles have changed. This work discusses cloud-based monitoring and management used in charging electric vehicles and their impact on the smart charging system. Charging management plays a key role in assessing the charging infrastructure because of the automakers and charging service providers. As the market evolves, this system looks at the present public and private sectors that provide charging stations and contrasts them with modern cloud-based charging in electric vehicles. The cloud module developed contains layers, with the top layer of the robust calculating ability, which is globally optimized using machine learning technology. The bottom layer counters the real-time issues with the controller. The system also analyzes the current demands in the market and forms strategies to maximize profits through smart charging systems. 
A Commentary on the Applications of Python in Resolving Issues Concerning Energy and the Ecosystems
The energy industry is just getting started with applying it to problems with energy and ecosystems so they can find solutions. Python\u27s popularity has increased across a variety of sectors, including businesses, academic institutions, government agencies, and research organizations. The true potential it possesses to automate a variety of processes while simultaneously increasing the capabilities of various industries to predict outcomes has been observed. Because of the digital transformation, such as sensors and high-performance computing services, which enable artificial intelligence (AI), machine learning (ML), big data acquisition, and storage in digital oilfields, its popularity has been on the rise in the industry that deals with energy and ecosystems. This is one of the primary reasons why. This can be easily verified by conducting a quick search for the number of publications that have been produced in the field of energy and ecosystems by the Society of Petroleum Engineers over the past few years. Without having to invest in pricey software, the production and reservoir engineers will be able to better manage the production operation thanks to this development. In addition to this, it will lead to a decrease in the overall operating costs and an increase in revenue. As a result, it has been demonstrated to be a promising application that has the potential to bring about a revolutionary change in the industry of energy and ecosystems and to transform the features that are already in place for the purpose of resolving issues related to energy and ecosystems
A Parametric Study Of Window, Orientation And Shading to Minimize Energy Consuption in Mechanically Ventilated High Rise Office Buildings in Dhaka, Bangladesh
Vital statistics of a building, meaning geometric attributes, are very important design tool to manipulate energy performance of a building which is often neglected. Though a lot of recent researches focused on increasing capabilities of material and technology to build energy efficient buildings, design elements such as form, shape, window, orientation, etc. can play a very important and effective role to increase energy efficiency. The strategic design decisions about geometric attributes in the design phase costs almost nothing and can save energy bills through lifetime of the building, which is yet be specified in particular climatic region and particular building types where energy consumption matters in national scale. This paper investigates the critical proportion of façade glazing through parametric study by simulation to obtain optimum balance between luminous and thermal behavior as well as energy consumption. The context of the study is Dhaka, with tropical monsoon climate where heat and humidity is a big concern. The experiment is carried out and hence relevant to highrise office building due to its large vertical surface compared to insignificant roof area. The outcomes indicate that significant harvesting of daylight and reduction of total energy consumption by 50% comes with proper shading on large glazing on East and West facade; and 30% on South facade.
 
Performance Evaluation of Multiple Helical Tubes as a Receiver for Solar Parabolic Trough Collector
Solar parabolic trough collector consists of a parabolic reflector with a central receiver at a focal point through which heat transfer fluid is passed. Parabolic trough collector is used mostly in solar thermal power plants for generating electricity. This paper describes the experimental results of two straight tubes wrapped over each other to form a helically shaped receiver. The receiver was tested with aluminium material with and without black paint over it. Also, the helical tube receiver was tested with a glass cover over it, at two different mass flow rates and, with and without manual tracking. The tested instantaneous thermal efficiency ranges from 31.26% to 45.28% and the overall thermal efficiency ranges from 14.9% to 31.41% during the experimental period. The instantaneous thermal efficiency increased by an average of 1.32 times for unpainted receiver and 1.36 times for black painted receiver with the increase in mass flow rate. By tracking the parabolic collector according to sun’s position, there is an average increase in instantaneous thermal efficiency by 1.1 times for unpainted receiver and 1.04 times for black painted receiver. The paper further reveals that the use of multiple helical tubes as a receiver for parabolic trough collector increases the overall efficiency of the collector in a substantial manner
Impact the Temperature of Bangladesh: An Application of Markov Model
Markov chain model has been used to analyze the temperature of Bangladesh. Different order Markov chain model has constructed and their significance has been tested. Using Cramer’s , strength the association of temperature with the order of Markov chain has been measured. Stationary probability has been calculated, and there have been employed whether the temperature is stationary or not
Azolla (Caroliniana): An Aquatic Energy Crop for Remediation of Eutrophic Ecosystems with Prospect of Biofuel Production in Bangladesh
The Phytoremediation ability of aquatic macrophyte, Azolla as potential biomass, to improve the quality of eutrophic lakes and river water of Bangladesh at lab scale were studied to remove organics, solutes and improving the physicochemical properties of water including pH, DO, EC, TDS, Turbidity and NaCl concentration. In the different eutrophic water, a 100% survival rate of the species was observed. The extensive root system of the phytoremediator improves water quality after one week as determined by a marked decrease in Turbidity, TDS, EC & Nacl and increased in DO and pH. DO content served as a useful indicator of water quality and increased manifolds over 7 days (one week) of treatment. The capability of the plant in removing pollutants and improving water quality was established from the study. After phytoremediation activities, the discarded energy crop biomass could be used to produce green energy because of its high growth potential.
 
A Case Study Of The Environmental Impact Assessment Legislations In Sarawak, Malaysia
Environmental Impact Assessment (EIA) is a planning tool used to identify, predict, evaluate and mitigate the environmental effects of development projects. In Sarawak, EIA is governed by the both the State and the Federal EIA Orders. This leads to ambivalence in determining the legislation under which a prescribed activity demanding an EIA falls. This case study aims to investigate the implications associated with the coexistence of both EIA Orders in the state of Sarawak from the viewpoints of practicing environmental consultants. The case study reviews the EIA legislations governing EIA practices in the State and includes a qualitative survey involving practicing EIA consultants to gather feedback on the implications associated with the EIA practices and recommendations to resolve the problems identified. The study shows that even though a prescribed activity is defined by the EIA legislations, different stages of the prescribed activity eventually become prescribed activities on their own, which demand fulfillment of different EIA legislation. Unclear demarcation of EIA jurisdiction and different requirements on the scope of an EIA particularly for earthworks also contribute to doubts among environmental consultants interviewed. Consultation, involvement and effective communication with environmental protection as priority are crucial to minimize any uncertainty resulted from co-implementation of both the EIA legislations. Future study can look into comparing perceptions on the effectiveness of the State and the Federal EIA legislations. The case study delves into a crucial issue related to EIA practices in Sarawak, Malaysia which has persisted without being formally addressed in any previous studies.