bluuebunny/crossref_metadata_2025_split huggingface dataset:
GIS-driven Hydro Energy Potential Estimation for Technoeconomic Assessment of Hydro Power Plant in Bawean, Gresik
Authors: Maftuh Eep Saeful , Nst Zul Khoiron , Wahyuono Ruri Agung , Julian Miga Magenika 
Published: December 2023

Abstract
This study aims to assess the spatial distribution of hydropower capacity on Bawean Island using a Geographic Information System (GIS). The objective of this study is to provide a valuable contribution to the progress of sustainable energy transition initiatives in Indonesia. The primary objective of the hydropower map is to enhance the process of strategic planning and implementation of hydropower infrastructure, with a particular emphasis on supplying electricity to rural regions. The essential components required for the successful implementation of hydropower are the head, which represents the vertical distance between the water source and the water outflow, which refers to the rate at which water is discharged from the system. Bawean Island, located in the eastern region of Java, possesses a unique topographical structure distinguished by an abundance of rivers, making it a promising site for the establishment of hydropower infrastructure. The utilization of ArcGIS was applied for the aim of hydropower mapping. The estimation of water discharge was conducted using the Soil Conservation Service-Curve Number (SCS-CN) approach. The current investigation utilized the Multi-Criteria Decision Analysis (MCDA) framework, which incorporated the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) to ascertain the most advantageous choice of hydropower plant types for deployment in the Bawean region. The classifications comprise pico-hydro, micro-hydro, mini-hydro, and large-scale hydropower installations.The Multi-Criteria Decision Analysis (MCDA) framework incorporates various criteria, including cost, policy, social concerns, technology assistance, integration, and natural catastrophe considerations. The results indicate that the hydropower potential on Bawean Island peaks in January, coinciding with the rainy season, while it is at its lowest in August, corresponding to the dry season. Moreover, the spectrum of hydropower installations suitable for Bawean Island includes pico-hydro systems, which have a power generation capacity of up to 5 kW. Additionally, mini-hydro plants are categorized into two classes: class A, with a power generation capacity ranging from 5 to 100 kW, and class B, with a power generation capacity ranging from 100 to 200 kW. The utilization of Multi-criterion Decision Analysis (MCDA) reveals the results of the techno-economic assessment, emphasizing the importance of cost, social factors, and policy as the key criterion for decision-making. The factors mentioned above are allocated weights of 0.44, 0.17, and 0.17, correspondingly. Pico-hydro is a suggested category of hydropower plants that are being considered for the development of hydropower infrastructure in the Bawean region.
Classification Analysis of Industrial Buildings Using Orthophoto and NDSM Data with Deep Learning Approach (Case Study: Kali Rungkut Village, Surabaya)
Authors: Raihan Muhammad Anis , Rachmadi Reza Fuad , Bimanjaya Alfian , Handayani Hepi Hapsari 
Published: December 2023

Abstract
Information of industrial estates is important because it may increase the economy level, industrial goods production, and export activities. In addition, information of industrial areas needs to be identified so that the area does not interfere with agricultural productivity, natural resources, and cultural heritage. To obtain this information, extraction and classification of building footprints using orthophoto data with a deep learning approach is carried out. However, this has the challenge that the condition of the building is highly diverse in both shape and size, so it requires additional data such as height data form (NDSM) to facilitate its identification. The Mask Region-based Convolutional Neural Network (Mask R-CNN) method used for extraction produces 88.49% precision accuracy; 66.82% completeness (recall); and 76.15% F1-score. The classification model performed with the Deep Neural Network (DNN) method, produced excellent accuracy with average values of precision, recall, and F1-score of 0.94; 0.90; and 0.92, respectively.
A review on the performance of non-additive blended fuel (ethanol-gasoline) in spark ignition engines
Authors: Alimin A.J , Babalola O.K 
Published: December 2023

Abstract
The use of effective fuel additives can improve fuel and engine efficiency, but some non-additive or incompatible additives can cause engine problems. Ethanol-gasoline blends offer advantages as an alternative to regular gasoline, but high-dose blends with non-additives can lead to issues such as deposits in the engine, increased combustion temperature, emissions, and power loss. This paper reviews various fuel additives and their impacts on engine performance. Early anti-knock additive based on organometallic compounds were used in the past but faced concerns regarding cost, legislation, health effects, and environment. Ethanol and other oxygenated additives have been used to increase research octane numbers, improve combustion and fuel economy. While ethanol has benefits of improved efficiency and reduced emissions, it is not considered an additive. Therefore, finding a chemical additive that enhances fuel efficiency, combustion, and reduces greenhouse gas emissions is crucial. This research aims to explore and provide solution in this area.
Phase change materials integrated buildings: A short review
Authors: Jacob Jeeja , Paul John , Selvaraj Jeyraj , Vaka Mahesh 
Published: December 2023

Abstract
Buildings account for one-third of global energy consumption and 38% of greenhouse gas emissions. Improving a building’s energy efficiency is vital in minimizing climate change. As an alternative to active cooling systems, passive cooling methods are promising. Thermal energy storage employing latent heat is an effective passive cooling strategy for increasing a building’s thermal inertia and, in turn, reducing temperature fluctuations and improving thermal comfort for building occupants. To do this, high-density phase change materials (PCMs) for thermal energy storage (TES) can be put to good use. Recent developments in TES techniques using PCMs have gained much research focus, primarily to improve energy efficiency and promote clean energy sources. PCMs are regarded as the most promising materials due to their high energy storage density for developing high-performance and energy-efficient buildings. The primary disadvantage of PCM is its low thermal conductivity, limiting its practical usage, which could be resolved by loading nano or micro-sized conductive fillers. The investigated system’s initial findings show that they effectively lower indoor temperature changes and energy demand during winter seasons and can cause load reduction or shifting.
Activated hydrochar derived from coconut shell and microalgae through hydrothermal carbonization for the CO2 adsorption
Authors: Mohd Azmi Nuradila Zahirah , Abdul Raman Abdul Aziz , Rashidi Nor Adilla , Abdul Patah Muhammad Fazly , Buthiyappan Archina 
Published: December 2023

Abstract
Activated carbon (AC) has proven to be an effective adsorbent for gas and liquid. However, the production of AC involves high energy consumption and the use of limited non-renewable resources as feedstock. In this study, activated carbon was synthesized through hydrothermal carbonization (HTC) at a low temperature using coconut shells and microalgae. The adsorbents were characterised by Fourier Transform Infrared Spectroscopy (FTIR) to determine the surface function. The results indicate that the coconut shell activated carbon (CSAC) precursor had a higher yield compared to microalgae-based activated carbon (MAAC). However, the carbon dioxide (CO2) uptake of MAAC at 1.0 bar is 115.4% higher. A combination of algae and coconut shells as feedstock resulted in competitive activated carbon compared to MAAC (7.74 wt% instead of 8.28 wt%). The results of this study suggest that waste biomass hydrochars could be considered as low-cost adsorbents for carbon dioxide removal and that this would be useful in environmental applications for post-combustion carbon capture.
The effect of number of blades on the horizontal axis water turbine performance
Authors: Yulio Noviando , Herawan Safarudin Gazali , Oktarina Rienna , Setyandito Oki , Mat Tokit Ernie Binti , Mohd Sa’at Fatimah Al-Zahra Binti , Bin Mohd. Rosli Mohamad Afzanizam 
Published: December 2023

Abstract
Electrical energy is energy the main essential needed in living life for various aspects of utilities related to electronics with the provisions of the need for electric power consumption in units of Watts (W). The consumption for electrical energy is increasing along with the increasing population in this country. In 2020 the installed capacity of power plants in Indonesia will reach 72,750.72 MW consisting of 43,186.53 MW from National Power Plant (PLN) and 29,564.19 MW from non-PLN. Whereas in 2019 it was only 69,678.85 MW. This data shows that the installed capacity of power plants has increased by 3,071.87 MW. Therefore, this research aims to develop the horizontal axis water turbine and to investigate the performance of turbine with varying the number of blades. The experimental rig was built to conduct the experimental work. It is found that the most optimal number of blades is the number of blades 10 which produces a value of 0.704 Watt and speed of 789 RPM using a water discharge of 11.75 Liter per Minutes (LPM), 0.855 Watt and speed of 883 RPM using a water discharge of 13.22 LPM, and 0.889 Watt and speed of 913 RPM using a water discharge of 15.17 LPM. Electrical efficiency tends to decrease when the number of blades on turbine is increased due to a significant increase in speed of turbine with increasing of blade number while the electrical energy produced by the generator is relatively constant with increasing the blade number of turbine.
Thermal degradation studies of 2-amino 6-nitrobenzothiazole-oxamide-formaldehyde copolymer and its composites
Authors: Gurnule W B , Gupta P G , Gupta R H , Rathod Y U , Singh N B 
Published: December 2023

Abstract
Composites are viewed as promising advanced materials because of their superior features, including enhanced flame retardancy, density, relatively large surface areas, strength and thermomechanical/optoelectronic/magnetic capabilities. 2-amino 6-nitrobenzothiazole, oxamide, and formaldehyde has been used for the synthesis of copolymerizing polycondensation technique, and newly synthesized copolymer with activated charcoal was used to synthesize its composite. Several physicochemical techniques, and Ultraviolet-visible, SEM, TGA, and FTIR techniques, have been utilized to illustrate the produced copolymer and its composite. The non-aqueous conductometric titration was used to determine the molecular weight of the 2-amino 6-nitrobenzothiazole-oxamide-formaldehyde copolymer.based on TGA data, thermal stability of the composite is higher than copolymer, possibly because there are more carbonized residues. Based on Ea values determined by Sharp-Wentworth and Freeman-Carroll technique for copolymer and its composite, it is observed that they are in good agreement with each other. It is abundantly obvious from the results of the sequence of reaction that the decomposition reaction roughly follows a first-order kinetics. The composite's higher surface area, porous makeup, and smaller particle size may have contributed to its superior performance. The copolymer and its composite have better heat stability.
Studies in the influence of D–π–A pyrenyl chalcone containing methoxy substitution as dye-sensitizer in DSSC
Authors: Mohd Nizar S N A , Rosli M M , Mohamad Samsuri S A , Abdul Razak I , Arshad S 
Published: December 2023

Abstract
A pyrene based chalcone (PyMe) has been prepared by Claisen-Schmidt condensation reaction. The proposed structure was proceeded for characterization analysis of Nuclear Magnetic Resonance (NMR), Fourier Transform Infrared Spectroscopic (FTIR) and Ultraviolet-Visible (UV-Vis) studies. The analysis of cyclic voltammetry (CV) performed has determined the appropriated position of HOMO and LUMO energy level for electron injection and dye regeneration in DSSC. The Field-Emission Scanning Electron Microscopy (FESEM) and Energy dispersive X-ray spectroscopy (EDX) study has confirmed the existence of PyMe based on the distribution and composition of the elements on the TiO2 layer, respectively. The Donor–π–Acceptor (D–π–A) structural chromophores with methoxy (-OCH3) attachment in PyMe has also contribute to the power conversion efficiency of DSSC.
Potential of a new pyrene based chalcone as a dye on DSSC solar cell and optical limiting
Authors: Alsaee Saleh K. , Razak Ibrahim Abdul , Arshad Suhana , Mzwd Elham , Zainuri Dian Alwani , Bahadi Murad 
Published: December 2023

Abstract
Herin, this work focuses on the potential of a pyrene-based chalcone named EDPP1 as a sensitizer in DSSC using density functional theory (DFT) concerning FMO and UV-Vis absorption spectrum. The EDPP1 compound was synthesized using Claisen-Schmidt reaction and characterized via FTIR, UV-Vis absorption, and DFT. UV-Vis absorption spectrum revealed that the bandgap of the EDDP1 is E

g
= 3.5e
V with fully transmittance above λ
cut off = 499nm and high absorption at UV region. The energy level diagram suggests that EDPP1 is a promising sensitizer in DSSCs as it meets the required dye conditions. Additionally, optical limiting study revealed that the EDPP1 compound has the ability to limit laser power above 875 mW. Overall, these results suggest that EDPP1 has potential as a sensitizer in DSSCs and as an optical limiter.
Voltage and frequency regulation induction generator employing AC-AC converter
Authors: Krismadinata  , Fiandri Derry , Asnil  , Husnaini Irma , Abdullah Mohd Noor , Singh Mukesh 
Published: December 2023

Abstract
One of potential problem in induction generator is voltage and frequency instability. Induction generators (IG) can experience voltage and frequency fluctuations due to changes in the load. This paper presents a control strategy for voltage and frequency regulation of an induction generator using an electronic load controller (ELC). Three-phase AC-AC converter is employed as an ELC. The control system is designed to ensure the steady-state and transient stability of the IG under various operating conditions. The effectiveness of the proposed control method is demonstrated through simulation. MATLAB/Simulink software is utilized to analyze and verified the proposed control method. The simulation results show that it can provide accurate voltage and frequency regulation while maintaining stable operation of the IG. The proposed approach offers a promising solution for IG applications in renewable energy systems, where precise control of voltage and frequency is crucial for efficient and reliable power generation
Development low-cost processor for photovoltaic simulator
Authors: Asnil  , Krismadinata  , Husnaini Irma , Astrid Erita 
Published: December 2023

AbstractThe power generated by a PV array is affected by several factors such as the intensity of solar radiation, the temperature, and the shade cast by solar radiation on the solar panels’ surface. In order to provide the maximum electrical power, it is important to understand the characteristics of a PV system. In this paper, a simulator to observe the characteristics of solar panels is modeled and designed by utilizing tungsten-halogen lamps as a lighting source. The use of halogen lamps ensures that the solar panels’ output signal does not have a large ripple. It differs from other lamps, such as LEDs, which can generate greater ripples in solar panel output signals. Voltage sensors and current sensors are used to obtain the desired values of voltage and current parameters. The characteristics of solar panels with different combinations of lighting can be observed using a Personal Computer (PC) both in the form of tables and graphics with the help of the Parallax Data Acquisition tool (PLX-DAQ). According to the results of the test, the simulator can operate properly, and the measured parameter value can be monitored in realtime in the form of current and voltage graphs.
Surfactant role in nano-enhanced phase change materials
Authors: Noran N K , Pandey A K , Selvaraj Jeyraj , Buddhi D , Tyagi V V 
Published: December 2023

Abstract
Advance research in phase change materials (PCMs) has been explored as a novel thermal energy storage (TES) material. The nano-filler of high-conductive material is very promising in improving the material’s thermal properties. Because of the high surface energy of nano-filler, it coagulates quickly and is difficult to disperse in PCMs. Surfactant has been explored by researchers to prevent particle cluster agglomeration and to stabilise particle suspensions. The two-step method has been used widely in synthesising Nano enhanced PCMs (NePCMs) with surfactants. Homogeneous and uniform surfactant dispersion was added not more than 1:1 to the nano-filler. Surfactant shows promising improvement in stabilising the nano-filler in PCMs. Moreover, it improves the NePCMs’ thermal conductivity (TC). However, the latent heat value drops as the nano-filler and surfactant concentrations increase.
Financial feasibility study of water supply system (SPAM) business at X port in Sumatera Island, Indonesia
Authors: Farmania Aini , Elsyah Riska Dwinda 
Published: December 2023

Abstract
The purpose of this study is to examine the analysis of financial feasibility study for new business investment in a water supply system (SPAM) at X Port in Sumatera Island, Indonesia. This project investment is essential for every ships and boats visiting X Port. This financial feasibility study is carried out to determine whether SPAM business project is feasible or not. The measurement items for this analysis are Net Present Value (NPV) method, Internal Rate of Return (IRR) method, Payback Period (PP) method, Profitability Index (PI) method, and Benefit-Cost Ratio (BCR) method. This business project has a concession period of 20 years during 2024 - 2043 and a construction period of 1 year in 2023.The analysis is using the benchmark on the same business project at different port in Sumatera Island, Indonesia. The results of this study show that all of measurement items are feasible indicating that SPAM business project using this calculation is feasible to be conducted.
Design and simulate an amine-based CO2 capture process for a steam methane reforming hydrogen production plant
Authors: Hamed Ali Mahmoud , Tuan Kamaruddin Tengku Nordayana Akma , Ramli Nabilah , Abdul Wahab Mohd Firdaus 
Published: December 2023

Abstract
Steam methane reforming (SMR) is a common technique for hydrogen production, however CO2, which is created as a by-product, needs to be captured. Chemical absorption utilizing amine solvents is the most economically practical method of CO2 capturing. Amines are a class of organic compounds that are commonly used as chemical solvents for carbon capture. The effectiveness of a particular amine as a carbon capture solvent depends on its chemical structure and properties. Some commonly used amines for carbon capture include monoethanolamine (MEA), diethanolamine (DEA), and methyldiethanolamine (MDEA). This study aims to simulate SMR hydrogen production plant utilizing amine-based carbon dioxide capture system using Aspen HYSYS V11 software and figure out the efficiency of different chemical solvents in capturing carbon dioxide. The results of this study show that MEA has high efficiency to capture CO2 due to its high reactivity and ability to form a strong chemical bond with CO2. However, it is also highly corrosive and can be costly to regenerate.
Cogging torque reduction for permanent magnet structure of radial flux permanent magnet generator
Authors: Mostaman Nur Afiqah , Sulaiman Erwan , Jenal Mahyuzie 
Published: December 2023

Abstract
Recently, Permanent Magnet Generator has been widely used due to its ability of having simple structure yet high efficiency. A radial flux permanent magnet generator’s (RFPM) cogging torque leads to the decrease in output power. Generally, cogging torque is affected from the size of permanent magnet. This paper presents the techniques for cogging torque reduction and low torque ripple of RFPM design. This research used two methods to reduce the cogging torque which is the permanent magnet pole-arc ratio and also the permanent magnet structure. The cogging torque has been successfully reduced by increasing the permanent magnet pole-arc ratio and reducing the permanent magnet structure The best design configuration that can reduced the cogging torque by using pole-arc ratio is 0.49 pole-arc ratio which can reduce the cogging torque to 0.6986Nm. Moreover, for PM structure method 0.25 PM structure has been chosen as the best configuration since it can reduce the cogging torque to 0.2366Nm. This method able to reduce the cogging torque by 69.88%. Hence, both of these techniques are successfully reduced the cogging torque.
Low cost power monitoring system with electric bill calculation
Authors: Asmadi A F , Zulkifli S A , Mazelan M F , Leong T W B 
Published: December 2023

Abstract
A power monitoring system with electric bill calculation has been developed to measure voltage, current, power, kilowatt-hours, and prices per hour of electrical appliances and to help users to reduce the monthly bill. The prototype uses a voltage and current sensor, ESP32 Node MCU, STM32 microcontroller and a pulse width modulation (PWM) signal to control a rectifier circuit that converts alternating current (AC) to direct current (DC) that available in the market and the development took about 6 months. The prototype successfully collected electricity data and provided the energy needed for monitoring system. The prototype had a percentage accuracy of 92.22% between the calculation bill compare to IoT prototype measurement. The final prototype is a portable device that can accurately measure and record the relevant data and provide real-time monitoring and data visualization with the usage of the electricity to a certain load.
Carbon dioxide hydrogenation to value-added products using Cu-based catalytic materials
Authors: Ismail Rim , Saad Mohamed Ali H. , Sardar Ali , Benamor Abdelbaki. 
Published: December 2023

Abstract
In this work, we report on the synthesis and evaluation of catalytic materials composed of copper/calcium oxide/alumina (Cu/CaO/Al2O3) for carbon dioxide conversion to value-added products. Catalytic materials were synthesized using sequential incipient wetness impregnation method. Synthesized materials with different compositions of copper and adsorbent were tested in a high-pressure packed bed reactor under a pressure P =60 bars, temperature T=300 °C, and hydrogen to carbon dioxide ratio (H2/CO2 = 3) to determine their performances and catalytic activities. The results of the activity revealed that CaO-based catalysts were very active in converting CO2 to methanol and carbon monoxide. Catalyst containing 30%Cu10%CaO achieved the highest CO2 conversion of 16.5% and a maximum methanol selectivity of 17.8%, while the lowest selectivity towards carbon monoxide (CO) were obtained using 20%Cu-containing catalyst. Reducing CaO content from 10wt% to 5wt% boosted the CO2 conversion to 18% with higher selectivity towards CO compared to the catalyst containing 10%CaO.