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H Hadiyanto
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Journal of Emerging Science and Engineering
Published by CBIORE Scientia Academy
ISSN : 30260817     EISSN : 30260183     DOI : https://doi.org/10.61435/jese.xxx.xxx
Core Subject : Social, Engineering,
Engineering Environmental Science
Journal of Emerging Science and Engineering (JESE) is peer-reviewed, and it is devoted to a wide range of subfields in the engineering sciences. JESE publishes two issues of rigorous and original contributions in the Science and Engineering disciplines such as Biological Sciences, Chemistry, Earth Sciences, and Physics, Chemical, Civil, Computer Science and Engineering, Electrical, Mechanical, Petroleum , and Systems Engineering.. JESE publishes original research papers, reviews, short communications, expository articles, and reports. Manuscripts must be submitted in the English language and authors must ensure that the article has not been published or submitted for publication elsewhere in any format, and that there are no ethical concerns with the contents or data collection. The authors warrant that the information submitted is not redundant and respects general guidelines of ethics in publishing. All papers are evaluated by at least two international referees, who are known scholars in their fields. We encourage and request all academics and practitioners in the field of science and engineering to send their valuable works and participate in this journal.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2024)" : 5 Documents clear
Modeling a storage tank of carbon capture technology in a power plant in southern Iraq M. Mansour, Mustafa; M. Lafta, Alaa; Salman, Haider Sami; Nashee, Sarah R.; Shkarah, Ahmed J.
Journal of Emerging Science and Engineering Vol. 2 No. 2 (2024)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2024.e13

Abstract

The IEA's special study on CO2 collection, usage, and storage, released in 2020, estimates global CO2 capacity for storage to be among 8,000 and 55,000 gigatons. One of the most significant issues in introducing carbon into the energy market is improving carbon storage and developing more efficient distribution systems to increase the quantity of carbon that is held as liquid while decreasing storage pressure. The goal of this work is to investigate the efficiency of adsorption-based carbon-storing units from a "systems" perspective. The finite element approach, utilized in COMSOL Multi-physics™, is used to create an appropriate two-dimensional axisymmetric geometrical structure that balances energy, mass, and momentum based on thermodynamic extinction rules. We examine charging and discharging the storage unit with a rated pressure of 9 MPa and an initial temperature of 302 K.The storage tank is chilled using ice water. The research findings demonstrate that both simulated fluctuations in pressure and temperature during storage operations are extremely valuable. At the conclusion of charge time, the temperatures in the tank's center region are greater than those at the entry and along the wall, but at the end of discharge time, they are lower. The velocities are highest near the entry and progressively diminish throughout the tank's axis. As a result, even the lowest possible number (8,000 Gt) substantially surpasses the 100 Gt of CO2 required to be stored by 2055 under the "sustainable development" scenario. The IEA analysis also states that the land potential exceeds the offshore potential. Land-based storage capacity is estimated to be between 6,000 and 42,000 Gt, while offshore capacity is estimated to be between 2,000 and 13,000 Gt, assuming only sites less than 300 kilometers from the coast, at depths less than 300 meters, and outside the Arctic and Antarctic zones. Development of a prediction model to improve knowledge of a novel CO2 adsorbent during the adsorbent-desorption cycle, taking into account all transport events. Validation of the model against published data for H2 storage. Predicting pressure and temperature dispersion at various storage tank sites.
Soft computing-based modelling and optimization of NOx emission from a variable compression ratio diesel engine Paramasivam, Prabhu; Naima, Khatir; Dzida, Marek
Journal of Emerging Science and Engineering Vol. 2 No. 2 (2024)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2024.e21

Abstract

Machine learning method and statistical method used for model prediction and optimization of third generation biodiesel-diesel blend powered variable compression engine High R2 values of 0.9998 and 0.9994 were observed in the training and testing phase of the model, respectively, indicating that The results confirm the robustness of the forecasting system. It was shown that the model accuracy means squared errors remained low at 0.0002 and 0.0014. These results were then confirmed by desirability-based optimization, which succeeded in achieving the values of the set parameters It should be noted that the compression ratio (CR), fuel injection pressure, and engine load were optimized to meet the defined parameters, resulting in a NOx emissions reduction as 222.8 ppm. The research illustrates the efficacy of desirability-based optimization in attaining targeted performance targets across important engine parameters whilst also reducing the impact on the environment.
Performance evaluation of off-grid solar systems for critical medical instruments in remote regions Shadvar, Saba; Rahman, Anisur
Journal of Emerging Science and Engineering Vol. 2 No. 2 (2024)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2024.e22

Abstract

In areas with limited access to electricity or during power outages, ensuring continuous and reliable use of grid-powered electrical instruments is challenging, especially in remote emergency centers. A stable source of electricity is crucial to prevent disruptions in power supply, as they can lead to severe medical complications, jeopardize patient well-being, and even result in fatal incidents. To address this issue, integrating renewable electricity sources such as off-grid solar systems into existing power supply infrastructure can be a viable solution. Recent studies suggest that off-grid solar systems can be reliable and sustainable options for powering medical facilities, particularly in areas lacking uninterrupted grid connectivity. Therefore, this research aims to evaluate the feasibility, benefits, and challenges of integrating off-grid power to support critical medical instruments. Based on an extensive literature review, interviews with experts, and surveys among relevant users, this study finds that the system has the capability to maintain a consistent, dependable power supply, even during adverse weather conditions. Cost and feasibility are highlighted as paramount considerations, based on surveys and focus group results. The study concludes that off-grid solar systems offer an economical, low-maintenance, and environmentally sustainable alternative for remote medical facilities. Finally, this study proposes recommendations to optimize critical device performance during power outages and improve overall system functionality and efficiency.
An insight from homogeneity testing of long-term rainfall datasets over East Java, Indonesia Mulyanti, Heri; Istadi; Gernowo, Rahmat
Journal of Emerging Science and Engineering Vol. 2 No. 2 (2024)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2024.e23

Abstract

Robust, reliable, and trustworthy ground observation datasets are the preliminary requirement for assessing the impact of climate change over regions. Principal testing to assess the quality of ground observation rely on the missing data and homogeneity result. The study used 40 years of monthly rainfall documented from different topographical features in the monsoonal region of East Java, Indonesia. The test included annual rainfall, early rainy season (October-November-December), and primary rain season (January-February-March). The homogeneity of rainfall determined by absolute technique: Pettitt’s test, the Standard Normal Homogeneity Test, the Buishand Rank Test, and the von Neumann Ratio. Among the time series, October-November-December observation results in better homogeneity. However, the rainfall datasets during primary rainy season showed the worst homogeneity. By performing annual and seasonal homogeneity test from 67 rainfall stations: 5 stations out of data length required, 5% stations ‘rejected’, 11% ‘suspect’, 11% ‘doubtful’, and 73% were ‘trusted’. Therefore, a total of 45 stations can be used as metadata for relative comparison and 7 stations can be considered to be useful for analysis despite ‘doubtful’. The remaining 10 stations need careful consideration to be used for future water management.  Change point detected particularly between the year of 1997 through 2000. Pettitt’s test has outstanding results in the case of extreme climatic anomaly, but less sensitive of continuous abrupt change. The von Neumann test could detect abnormal data, but was not suitable for datasets containing few extreme values. The insights from homogeneity testing were: a) it is important to remove any outliers in the datasets before conducting homogeneity testing, b) both parametric and nonparametric homogeneity tests should be performed, and c) comparisons should be made with surrounding rainfall stations. Comparison with trusted long-term rainfall data is valuable for stations labeled as ‘doubtful’ or ‘suspect’ to mitigate false detections in individual homogeneity tests. The identified ‘useful’ rainfall data can then serve as reference stations for relative homogeneity tests. These findings suggest that reference stations should be assessed within similar rainfall zones.  
Potential of cassava peel collected from Bauchi (Nigeria) as culture media for growing specific fungi Miya, Yusuf Yahaya; Butuwo, Thomas Murma; Abdulkareem, Jamil Hassan
Journal of Emerging Science and Engineering Vol. 2 No. 2 (2024)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2024.e26

Abstract

The objective of this paper is to assess the potential of using cassava peel for A. niger and penicillium growth using standard methods and chemicals of analytical grade. The result of the study indicates that, the peel is rich in proximate contents as the analyzed cassava peel is composed of 8.70% moisture, 4.89% crude protein, 6.9.00% carbohydrates, 4.00 % fat content, 8.93% ash, and 8.75% fibre. Considering the observed morphological and physical characteristics of the test fungi; therewith, A. niger, and penicillium were present. There is indication that, the two utilized media (control and formulated media) are in support of the two microbes growth and depicted positive results of degradation, as well as fermentation ability on the cassava peels. The enriched cassava agar supports higher growth of the two analyzed microbes (viz, A. niger, and penicillium). There was significant difference pertaining the colonies number made on the formulated media (cassava peel agar, and enriched cassava agar). Potato dextrose agar (PDA) shows lower colony count amounting to 3.4 0.1 CFU/ml for A. niger, and amounting to 3.3 0.2 CFU/ml for penicillium. Cassava peel agar (CPA) possessed 6.5 0.5 CFU/ml mean colony count (MCC) for A. niger, and 5.6 0.1 CFU/ml for penicillium. Enriched cassava agar media (ECA) had highest MCC as 7.8 0.1 CFU/ml with respect to A. niger, and 7.3 0.6 CFU/ml pertaining penicillium. Utilization of cassava peel as substrate due to its contents of nutrients that can meet the nutritional requirement of fungi growth is a better move. The peel may be considered as substitute and alternative substrate for producing culture media to cultivate fungi and consequently reducing pollution.

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