Asia Pacific Journal of Energy and Environment
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    104 research outputs found

    Bioinformatics Algorithms for Molecular Docking: IT and Chemistry Synergy

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    Drug discovery and molecular biology can be advanced through the synergistic combination of bioinformatics techniques and molecular docking. This research attempts to investigate the most recent developments in this multidisciplinary subject, emphasizing enhancing the efficiency and accuracy of predictions. The process entails a thorough literature review and an analysis of significant advancements in search algorithms, machine learning integration, and scoring systems. Notable discoveries include improved search and scoring algorithms powered by machine learning methods that enhance protein flexibility and binding affinity predictions. The report highlights issues like data availability and computational complexity and suggests policy solutions, such as data-sharing programs, computational infrastructure investments, and regulatory guidelines for AI-driven drug discovery. This study highlights the revolutionary potential of bioinformatics docking synergy, opening the door for faster therapeutic advancements in the biomedical sciences and personalized medicine

    Analyses of Bio-Energy Properties from Malaysian Local Plants: Sentang and Sesendok

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    Various types of plants with several energy analysis methods have been experimented to produce bio-energy. In this study, two Malaysian local plants Sentang (Azadirachta excelsa) and Sesendok (Endospermum malaccense) have been used to determine their capability of bio-energy production. Our study focused on the analyses of bio-energy properties by using proximate analysis method separating moisture content (%), volatile matter (%), ash content (%), fixed carbon (%) and calorific value (MJ/kg) from Sentang and Sesendok. Proximate analyses of these plants proved lengthy flammability, very high amount of ignition, heat generation, net energy and negligible pollution effect. The calorific values for Sentang and Sesendok are 16.84 MJ/kg and 16.95 MJ/kg respectively. As Malaysia is tropical country mapping a large area of land with an evergreen plantation, so both trees Sentang and Sesendok species would be the efficient sources of bio-energy production

    Energy Consumption and CO2 Emission in Bangladesh: Trends and Policy Implications

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    Energy consumption is increasing due to the expansion of economic activity and population size which results higher GHG emission worldwide. The study has examined the trends of energy consumption and CO2 emission in Bangladesh using the secondary data extracted from the World Development Indicators of the World Bank database. The results found that there is an increasing trend of total energy consumption and per capita energy consumption in Bangladesh from 1991 to 2012 where the total energy consumption has been increased nearly three times from 12.55 mtoe (million tonne oil equivalent) in 1991 to 33.17 mtoe in 2012. The total CO2 emission was estimated by 57.07 mtoe in 2011 which was increased by 140.67% compared to the 1991 emission of 15.94 mtoe. Thus, the CO2 emission and per capita emission has also provided increasing trend over the period of 1991 to 2011.It has revealed that the growth of CO2 emission found to be higher than the growth of GDP and energy consumption in Bangladesh. The yearly average growth of CO2 emission has estimated by 6.7% which is higher that the annual average growth of GDP and energy consumption as of 5.25% and 4.77% respectively. This situation calls for serious attention of the country for reducing CO2 emission. Therefore, government needs to develop a national mitigation plan/policy and promote the use and development of green technology, renewable energy and green growth for sustainable energy and environment in Bangladesh

    Solid-State Electrolytes for High-Energy-Density Lithium-Ion Batteries: Challenges and Opportunities

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    For various applications, solid-state electrolytes (SSEs) present exciting possibilities for improving lithium-ion batteries\u27 performance, stability, and safety (LIBs). To shed light on the significant variables influencing the direction of energy storage technology in the future, this paper examines the opportunities and problems related to SSEs for high-energy-density LIBs. The study\u27s primary goals are to explore the characteristics and difficulties of SSEs, appraise manufacturing methods, appraise the effectiveness of SSE-based LIBs, and investigate potential future directions and policy ramifications. The study\u27s methodology involves a thorough literature analysis, summarizing previous research findings and highlighting areas and chances for additional investigation. Significant discoveries emphasize how crucial multifunctional SSEs, interface engineering, improved materials design, scalable manufacturing techniques, and international cooperation are to the advancement of SSE-based LIBs. Policy implications: To expedite the development and deployment of SSE-based energy storage systems, investments in infrastructure, regulatory standards, environmental sustainability, and cooperative research projects are essential

    The Effect of Emotional Intelligence on the Diversity Climate and Innovation Capabilities

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    This study explores the relationship between emotional intelligence, a diverse work environment, a creative climate, and an innovative corporate culture and capabilities. To get a large enough sample, the questionnaire was used. Based on our findings, it appears that emotional intelligence has an impact on a diverse workplace climate. A diverse workforce and an innovative service mix are inextricably linked. Based on our findings, it appears that diversity in an organization\u27s innovation culture is directly related to the pace of innovation in that organization. Our goal is to provide additional insight into existing research in the public sector. A company\u27s emotional intelligence practices are implemented, and the employees\u27 emotional intelligence skills are taught. The study also encourages the implementation of policies to help deal with climate change and innovation diversity. These policies include diverse input in innovation decision-making. This advice can be used by everyone, helping organizations attain better technical results. Service innovation capabilities are influenced by factors such as emotional intelligence, a diverse work environment, and an innovative business culture

    Visualizing Energy and Environment Research Productivity in Australia: A Scientometric Profile

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    The present study conducted over the period of 1991-2014, selected to ascertain research trends, yielded a total of 2802 papers published in the wide-ranging field of energy and environment in Australia. Of the 2802 publications, 83.4% were journal articles and 99.7% were the English language. The result shows that a steady increase in Australia’s literature output from 21 papers to 308 papers in November 2015 (1466% increase); in Environmental Sciences Ecology (10.547%) is in the 4th rank and Energy Fuels (8.394%) is in the 6th of world literature during the study period. According to Australian research, the output of Environmental Sciences Ecology (13.807%) account for the largest increase, and it has been occupied in the first place and Energy Fuels (6.208%) is in the 6th place during the present study. The three most productive journals with huge citations were ‘Ecological Applications’ (= 4, 2721 citations), ‘Astrophysical Journal’ (= 44, 1614 citations), and ‘Monthly Notes of the Royal Astronomical Society’ (= 38, 1389 citations)

    Assessment of Perceived Health and Environmental Problems of Household Energy Consumption among Ilese Ijebu Residents Southwestern Nigeria

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    The study was carried out among Ilese-Ijebu residents southwestern Nigeria, to assess their perceived health and environmental problems associated with different sources of household energy use for cooking, then their perception and acceptability of adopting other alternative source of energy (biogas). A focused group discussion and self-structured questionnaire administration methodologies were adopted to elicit information on their current energy sources and adoption for alternative energy source (biogas). The researchers randomly selected twenty five (25) households to include the total sample size of one hundred (100) and organized an interactive session on the subject matter, during which three prepared forms were given out to the participants to filled their demographics characteristics, sources of energy for household cooking with associated health and environmental problems and perception and acceptability of biogas, descriptive statistics and likert scale technique were used to analyze the results obtained. The results of the analysis showed that, the respondents do make use of more than one source of energy for cooking, kerosene stoves (95), firewood (63), charcoal stove(32), while lesser people made use of liquefied gas (12) and electricity (5). Average numbers of respondents 50-60 are aware of associated health and environmental problems with firewood and charcoal, but not ready to use electricity and liquefied gas because of bills and fire hazards when the energy sources is  not properly handled. However, the likert scale results of the positive score of 227 and the negative score of 598 on the acceptability of use of biogas for domestic cooking indicating that, presently, the residents are not ready to adopt the biogas as the alternative energy. Therefore, there is need to organize massive awareness campaign, health education talks among the residents on the effect of air pollution associated with household energy sources and consumption, health and financial benefits of adopting other alternative clean energy source

    Study of the Characteristics and Connectivity of Different Climatic Parameters: Temperature, Humidity, BMD & TRMM Rainfall of Summer Monsoon in Bangladesh

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    This paper attempts to look into the characteristics aspect of different climatic parameters and the inter-relationships among the different parameters in summer monsoon over the region of Bangladesh throughout the last decade using surface data and TRMM satellite data. This study reveals a positive linear relationship between the relative humidity and rainfall and both of them decrease with the increase in temperature and vice-versa over the study region. The yearly mean temperature has increased 0.32˚C and the relative humidity has decreased 0.5% over the last decade. The duration as well as the beginning and endings of summer monsoon both have changed during the study time. Almost identical characteristics features found for TRMM satellite precipitation data and BMD observational rainfall data over the study area

    Impact Assessment of Land use / Land Cover Change on Soil Erosion and Rural Livelihood in Andit Tid Watershed, North Shewa, Ethiopia

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    Land use, which is use of land by human for different purposes, is influenced by two broad sets of forces human needs (socio-economic) and environmental features and processes (biophysical). The study was carried out at Andit Tid watershed one of SCRP research unit founded in 1982, located on 390 43’E 9048’N.  This research has aimed to assess the trend and main driving force of land use and land cover change (LULCC) within the catchment / watershed during the last two decades and its impact on soil erosion. Structural questioner was used to collect social data from 8% of the total household. Landsat 5 and Landsat 8 Enhanced Thematic Mapper (ETM) and supervised image classification used to identify land use/ land cover change of the study area for 1994 and 2014 years, respectively. TESTMAIN and SPSS version 16 Statistical software’s were used for Soil loss calculation and social data analysis, respectively. The result indicates that, there is expansion of cultivated land by 11.33% (44.55ha) while reduction in natural shrub lands by 7.3 % (35.73ha). The main driving forces of land use land cover change are high number of family member, small land holding size and minimum asset own per household, lower educational level of the household, the household mainly occupied on agriculture and there is lack of animal feed.  This change forced farmers to collect cereal crops based on suitability area, sale livestock, use organic and inorganic fertilizer and use improved variety due to low crop productivity. The LULC change has an impact on decline soil fertility, cause serious soil erosion problem with in farmland/watershed. The result also indicated that soil loss reached 3655 ton per annum from the watershed. Therefore, proper handling and land use system need to be implemented, rainwater harvesting structures and soil and water conservation practice need to be encouraged in order reduce soil loss

    AMI Data for Decision Makers and the Use of Data Analytics Approach

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    The Advanced Metering Infrastructure (AMI) analytics provide a source of real-time information not only about energy usage, but also as an indicator of various social, demographic, and economic phenomena inside a city, according to the National Electricity Information Administration. As a tool for leveraging the potential of AMI data within the applications in a Smart City, this article proposes a Data Analytics/Big Data framework applied to AMI data as presented in this study. The framework is comprised of three main components. First and foremost, the architectural perspective sets AMI within the context of the Smart Grids Architecture Model-SGAM. Second, the methodological view describes the translation of raw data into knowledge, which is represented by the DIKW hierarchy and the NIST Big Data interoperability model, among other things. The final factor that connects the two perspectives is human expertise and talents, which enable us to gain a better comprehension of the results and translate knowledge into wisdom. Our novel perspective responds to the issues that are emerging in the energy markets by including a binding element that provides assistance for the most optimal and efficient decision-making possible. We created a case study to demonstrate the functionality of our framework. It illustrates how each component of the framework for a load forecasting application at a retail electricity provider is implemented in the instance described here (REP). According to the company, the Mean Absolute Percentage Error (MAPE) for certain of the REP\u27s markets was less than 5 percent. Aside from that, the instance illustrates what happens when the binding element is introduced, since it generates fresh development possibilities and serves as a feedback mechanism for more forceful decision-making

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    Asia Pacific Journal of Energy and Environment
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