cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
H Hadiyanto
Contact Email
hady.hadiyanto@gmail.com
Phone
+6282223420485
Journal Mail Official
jese@cbiore.id
Editorial Address
Center of Biomass and Renewable Energy (CBIORE), UPT Lab Terpadu Undip Jl. Prof. SOedarto, SH-Semarang 50271
Location
Kota semarang,
Jawa tengah
INDONESIA
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 6 Documents
 1 
Search results for , issue "Vol. 3 No. 2 (2025)" : 6 Documents clear
The laboratory study of P441 oil samples separation by using super absorbent polymer from the waste diapers Yulia, Prayang Sunny; Yoga Pratama, Aditya; Samsol, Samsol; Husla, Ridha; Yanti, Widia
Journal of Emerging Science and Engineering Vol. 3 No. 2 (2025)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2025.e31

Abstract

The waste diapers, the second largest waste source after plastic, pose environmental challenges due to their slow degradation of 25-50 years. Reprocessing diaper waste, including utilizing Super Absorbent Polymer (SAP), is crucial. SAP's high absorption capacity aids in research for separating crude oil from water, particularly relevant for Indonesian oil wells with aging infrastructure. Emulsions in crude oil, stabilized by natural chemicals, require demulsification to prevent production issues, underscoring the importance of efficient water-oil separation methods. The research experimentally compares oil-in-water emulsion separation using SAP with and without SAP. The study utilizes waste-based ingredients like used diapers, and tests involve centrifuge processes at varying temperatures. SAP's osmotic properties enable high water absorption, impacting demulsification efficiency. This study investigates the impact of temperature on emulsion separation between water and crude oil. Testing at 26°C and 40°C reveals accelerated separation at higher temperatures due to reduced crude oil viscosity. Waste-containing tubes demonstrate better separation, with SAP absorbing water, enhancing separation efficiency. Increasing centrifuge speed and temperature improve oil-water separation, showcasing SAP's effectiveness in waste management processes. Research findings on crude oil-water separation using diaper waste conclude that demulsification is faster at 40°C due to decreased viscosity; with SAP waste, volumes of water are more efficient at 40°C; SAP's hydrophilic nature traps water in the gel network; SAP enhances separation effectiveness compared to non-SAP methods in saline solutions.
Enhancing renewable energy integration through energy storage and smart grid innovations: A systematic review Obakhume, Kaseem A.; Opatola, Faith F.
Journal of Emerging Science and Engineering Vol. 3 No. 2 (2025)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2025.e38

Abstract

This study presents a systematic review of advancements in energy storage technologies and intelligent grid management systems and evaluates their combined role in enhancing the reliability, efficiency, and integration of renewable energy sources. A comprehensive search across major databases identified 170 records, of which nine studies met PRISMA-based inclusion criteria after rigorous screening. The findings indicate that energy storage technologies, particularly lithium-ion batteries, pumped hydro storage, and emerging hybrid systems, significantly improve grid stability by mitigating renewable intermittency, supporting load balancing, and optimizing charge–discharge cycles through advanced scheduling techniques. Parallel innovations in smart grid technologies, including advanced metering infrastructure, demand response mechanisms, enhanced forecasting tools, and communication-enabled automation, strengthen real-time system flexibility and reduce operational stress associated with fluctuating renewable output. Integrated approaches, especially Virtual Power Plants that aggregate distributed energy resources, demonstrate superior performance by enabling coordinated dispatch, improving system resilience, and supporting higher levels of renewable penetration. Despite these benefits, challenges such as high capital costs, uneven technological readiness, regulatory gaps, and cybersecurity vulnerabilities persist. Overall, the review underscores that the convergence of advanced storage technologies with digitally optimized grid architectures is essential to achieving stable, efficient, and low-carbon electricity systems capable of supporting global decarbonization goals.
Effect of ambient temperature variance on power output of wind turbine and mitigation strategy Jargalsaikhan, Nyam; Byambaa, Sergelen; Erdenebat, Baigali; Batjargal, Nomuulin; Sukhbaatar, Munkhjargal
Journal of Emerging Science and Engineering Vol. 3 No. 2 (2025)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2025.e42

Abstract

Many challenges have been found in the operation of wind turbine under varying weather conditions, which demands novel strategies to address these issues. As far as we know, the variation of weather parameters is crucial for wind turbine operators to monitor the operation of wind turbines and adjust parameters of generator to ensure safe and efficient operation. This study aims to explore the effect of ambient temperature variation on wind turbine parameters including rotational speed, output power and pitch angle, using 10-minute measurement data for temperature ranges from -5oC to +20oC. By understanding such effects, researches can develop a control strategy to minimize their effect and improve the performance of wind turbines by increasing power production and reducing unnecessary loads and control actions. In this research, the mitigation method was developed within the control system to correct the parameters of wind turbine according to ambient temperature variation, offering a more practical strategy for wind turbines that currently in use. The simulation studies were carried out using Matlab/Simulink® software, and the results revealed that the output power of the wind turbine rose by 5.71% compared to standard strategy after mitigation method was implemented.
Global research trends and hotspots in solar power tower technology: A bibliometric review Aslam, Zeshan; Gilani, Syed Ihtsham Ul-Haq; Mohamad, Taib Iskandar; Alao, Kehinde Temitope
Journal of Emerging Science and Engineering Vol. 3 No. 2 (2025)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2025.e47

Abstract

Solar Power Towers (SPTs), as a forefront division of Concentrated Solar Power (CSP), have become a promising option for green electricity generation. This paper presents a bibliometric study of global research output in SPTs using data retrieved from the Scopus and Web of Science databases for the period between 2015 and 2024. The 860 documents dataset was mapped using bibliometric tools like VOSviewer and Bibliometrix to examine publication trends, prominent authors, leading institutions, high-output countries, and hot topics of research. The findings illustrate a picture of tremendous growth in publications since 2008 with China, the United States, and Spain as the leading contributors. Heliostat field design, thermal energy storage, receiver efficiency, and system-level optimization are some of the leading research themes. Keyword co-occurrence and co-authorship analysis reveal thematic clustering and changing collaboration patterns, with increasing yet still modest international collaboration. This review presents the current shape and intellectual structure of SPT research, giving a glimpse of its evolutionary trajectory. The findings can help researchers, practitioners, and policymakers identify knowledge gaps and plan future research agendas in the field of solar thermal technologies.  
Risk management in the energy sector: Challenges, strategies, and regulatory frameworks in Western Balkans as Albania case study Hyna, Eva; Vyshka, Eli
Journal of Emerging Science and Engineering Vol. 3 No. 2 (2025)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2025.e46

Abstract

The energy sector, characterized by substantial capital investments, long-term projects, volatile commodity prices, and increasing environmental concerns, faces a complex and evolving landscape of risks (Kaarle Parikka, 2024). This article examines the key challenges in effective risk management within this critical sector, ranging from operational disruptions and geopolitical instability to the impacts of the energy transition and climate change. It explores diverse risk management strategies employed by energy companies, including advanced forecasting techniques, hedging instruments, diversification, and robust emergency response plans. Furthermore, the paper analyzes the crucial role of regulatory frameworks at national and international levels in shaping risk management practices and promoting resilience across the energy value chain in Western Balkans having Albania as case study. By synthesizing current trends and best practices, this article provides valuable insights for energy stakeholders seeking to navigate uncertainty and ensure sustainable and secure energy supply.
Analysis of weather and ship-type effects on fuel efficiency and emissions for green maritime operations Le, Ngoc Doanh; Pham, Nguyen Dang Khoa
Journal of Emerging Science and Engineering Vol. 3 No. 2 (2025)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2025.e58

Abstract

This research is an endeavour to develop an explainable machine learning framework to quantify the combined effect of ship type, fuel type, distance and weather conditions affecting fuel consumption and CO2 emissions for green maritime operations. The data collected from the voyage-level records for various vessel categories was pre-processed and used to train three supervised regression models: Linear Regression, Random Forest, and Extreme Gradient Boosting (XGBoost). The models were tested based on the coefficient of determination (R2) and mean squared error for training and test data sets separately for fuel consumption and CO2 emission. Results show that all models are able to capture the main trends, but the Random Forest was able to provide the most accurate and robust predictions, with values of test R2 exceeding 0.94 and the lowest values of error for both target variables. In order to improve the interpretability, SHapley Additive exPlanations (SHAP) analysis and feature importance measures were used for the Random Forest models. Distance becomes the main factor, whereas ship type, fuel type, and weather variables have a secondary but significant impact on fuel consumption and emissions. The proposed approach offers a transparent and computationally efficient aid for supporting operational optimization, fuel choice evaluation, and policy design in the context of maritime decarbonization.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 2 (2025) Vol. 3 No. 1 (2025) Vol. 2 No. 2 (2024) Vol. 2 No. 1 (2024) Vol. 1 No. 2 (2023) Vol. 1 No. 1 (2023)