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Deep eutectic solvents:Green multi-task agents for sustainable super green hydrogen technologies

Journal of Energy Chemistry 2024年第5期92卷 357-382页

作者： Raiyan Al-Farsi Maan Hayyan Renewable Energy Engineering Program Faculty of Engineering and TechnologyMuscat UniversityMuscat 130Oman Chemical Engineering Program Faculty of Engineering and TechnologyMuscat UniversityMuscat 130Oman

While reliance on renewable energy resources has become a reality, there is still a need to deploy greener and more sustainable methods in order to achieve sustainable development goals. Indeed, green hydrogen is currently believed to be a reliable solution for global warming and the pollution challenges arising from fossil fuels, making it the resilient fuel of the future. However, the sustainability of green hydrogen technologies is yet to be achieved. In this context, generation of green hydrogen with the aid of deep eutectic solvents(DESs) as green mixtures has been demonstrated as a promising research area. This systematic review article covers green hydrogen generation through water splitting and biomass fermentation when DESs are utilized within the generation process. It also discusses the incorporation of DESs in fuel cell technologies. DESs can play a variety of roles such as solvent, electrolyte, or precursor;colloidal suspension and reaction medium;galvanic replacement, shape-controlling, decoration, or extractive agent;finally oxidant. These roles are relevant to several methods of green hydrogen generation, including electrocatalysis, photocatalysis, and fermentation. As such, it is of utmost importance to screen potential DES formulations and determine how they can function in and contribute throughout the green hydrogen mobility stages. The realization of super green hydrogen generation stands out as a pivotal milestone in our journey towards achieving a more sustainable form of development;DESs have great potential in making this milestone achievable. Overall, incorporating DESs in hydrogen generation constitutes a promising research area and offers potential scalability for green hydrogen production, storage,transport, and utilization.

关键词： Watersplitting Biohydrogen Super green hydrogen Electrocatalysis Photocatalysis Fuel cell Power-to-X

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The use of Carica papaya seeds as bio coagulant for laundry wastewater treatment

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Journal of engineering and Applied Science 2024年第1期71卷 99页

作者： Vezar, Siti Alfinna Naulita Belinda, Zeriyatina Tri Rendana, Muhammad Agustina, Tuty Emilia Nasir, Subriyer Hanum, Laila Andarini, Desheila Undergraduate Student of Chemical Engineering Program Faculty of Engineering Universitas Sriwijaya Sumatra Selatan Indralaya30662 Indonesia Chemical Engineering Program Faculty of Engineering Universitas Sriwijaya Sumatra Selatan Indralaya30662 Indonesia Biology Department Faculty of Mathematics and Natural Sciences Universitas Sriwijaya Sumatra Selatan Indralaya30662 Indonesia Public Health Program Study Faculty of Public Health Universitas Sriwijaya Sumatra Selatan Indralaya30662 Indonesia

The study aims to analyze the effectiveness of wastewater treatment by using Carica papaya seeds as bio coagulants to diminish total suspended solids (TSS) and excess phosphate. This method has some advantages because it does not use chemical materials, is simple to apply, and is safe for the environment and human health. The wastewater samples were taken from an active laundry site in Palembang City, South Sumatra Province of Indonesia. The study found that the best dosage of coagulant was 3 g for the wastewater samples. The pH and BOD parameters showed slight changes after treatment, with pH 7.63–7.19 and 33–27 mg/L values, respectively. The TSS removal efficiency ranged from 9.3 to 15.6%, while the COD and phosphate removals were obtained from 11.7 to 39.3% and 56.3 to 68.4%, respectively. The treated TSS, COD, and phosphate concentrations have met the Indonesian domestic wastewater quality standard and environmental protection organization (EPO) guidelines. In addition, the statistical analysis and t-test showed significant differences (p © The Author(s) 2024.

关键词： Wastewater treatment

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Investigation of Austempering Effect on Fatigue Crack Growth of AISI 4140 Steel

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Defect and Diffusion Forum 2024年 431卷 115-120页

作者： Badaruddin, Mohammad Ainnayah, Reza Annisa Wijaya, Rizqy Nurully Sumardi, Slamet Lampung Selatan Indonesia Department of Mechanical Engineering Faculty of Engineering Universitas Lampung Indonesia Undergraduate Study Program at the Department of M echanical Engineering Faculty of Engineering Universitas Lampung Indonesia

The compact tension (CT) and tensile specimens of the AISI 4140 steel in cold rolling condition (untreated steel) were austempered by immersing it into the salt bath at 362℃ for 60 minutes. The tensile strength properties and the fatigue crack growth (FCG) resistance were performed to investigate the effect of the austempering process in AISI 4140 steel. A significant increase in the yield strength for austempered steel is about 8.7 % and the elastic strain energy increases by 55.7 %. Austempered steel's fatigue crack cycle is longer than that of untreated steel. Data of stress intensity factor range (ΔK, MPa.m1/2) and FCG rate (da/dN, m/cycle) was constructed in double log plot x-y axes for determining the materials constants m and C according to Paris’s law equation using a linear regression method. From the curve of ΔK versus da/dN, the constant m value for austempered steel (m = 3.45) shows better resistance than untreated steel (m = 3.77). On the other hand, the constant C value of 1.409×10-12 for austempered steel is one order magnitude higher than that of untreated steel (C = 4.151×10-13). The resistance of austempered steel against fatigue crack growth can be attributed to the formation of a bainite structure. © 2024 Trans Tech Publications Ltd, Switzerland.

关键词： Stress intensity factors

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Fabrication of graphene oxide decorated with poly(dimethyl amino ethyl methacrylate) brush for efficient Cr(Ⅵ) adsorption from aqueous solution

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Chinese Journal of chemical engineering 2024年第9期73卷 51-61页

作者： Alireza Nouri Siew Fen Chua Ebrahim Mahmoudi Abdul Wahab Mohammad Wei Lun Ang Department of Chemical and Process Engineering Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangi 43600Malaysia Centre for Sustainable Process Technology(CESPRO) Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangi 43600Malaysia Chemical and Water Desalination Engineering Program College of EngineeringUniversity of SharjahSharjah 27272United Arab Emirates

Confronting the severe health threats and environmental impacts of Cr(Ⅵ) in aquatic environments demands innovative and effective remediation approaches. In this study, Graphene oxide(GO)-decorated poly(dimethyl amino ethyl methacrylate)(PDMAEMA) brush nanocomposites(GOP1, GOP2, GOP3, and GOP4) were fabricated using atom transfer radical polymerization(ATRP) by the “graft from” *** resulting nanocomposites were utilized for removing Cr(Ⅵ) with good adsorption performance due to the electrostatic interaction of protonated nitrogen groups in the brush chains with negatively charged particles in the solution. The kinetic model of pseudo-second-order best represented the contaminants' adsorption characteristics. The Weber-Morris model further indicated that surface adsorption and intraparticle diffusion mechanisms primarily controlled the adsorption procedure. Additionally, the Langmuir and Temkin isotherm models were found to most accurately represent the adsorption characteristics of the pollutants on the nanocomposites, and GOP4 can achieve the maximum adsorption capacity of 164.4 mg·g^(-1). The adsorbents' capacity maintains above 85% after five cycles of adsorption-desorption. The nanocomposites in this study demonstrate promising potential for eliminating Cr(Ⅵ) from aqueous solutions.

关键词： Graphene oxide PDMAEMA brush Polymerization Nanoparticles Adsorption Chromium

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Smart Parking System with IoT-Enabled using NodeMCU for Car Reservation in Public Areas 2

Smart Parking System with IoT-Enabled using NodeMCU for Car ...

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2nd IEEE International Conference on Electrical engineering, Computer and Information Technology, ICEECIT 2024

作者： Simatupang, Joni Welman Alfarizi, Yosep Salman Electrical Engineering Study Program Faculty of Engineering President University Cikarang Indonesia

ISBN: (纸本)9798331504373

This paper presents the smart parking system using NodeMCU ESP8266 for web-based car reservation in public areas. Conventional parking system made car users take a long time to find the parking in public areas like shopping centers or malls. Therefore, its necessary to overcome this problem by implementing the smart parking system of car reservation. The system prototype integrates the Internet of Things (IoT) technology, NodeMCU ESP8266 (microcontroller), Ultrasonic Sensor HC-SR04 (vehicle detector sensor in parking area), IR obstacle sensor (entry and exit), SG90 Servo (at the entry and exit gate) and Firebase to create a real-time database connected to a web platform. The system provides real-time slot availability information via the web platform and LCD as information at the entrance gate. Users can easily make and cancel reservations with additional features such as OTP verification, and automatic booking cancellation have been successfully implemented. The prototype test method consist of calibration test, sending OTP test, automatic booking cancellation test and manual booking cancellation test. The result of calibration test on 10 cm range have a 80% success rate for ultrasonic sensor 1 as well as the result of ultrasonic sensor 2. While, additional features test result such as sending OTP, automatic booking cancellation, and manual booking cancellation having 100% success rate. It can be concluded that this prototype is successfully implemented and reach the goals with minimum error can be tolerated. The authors suggest to adding a keypad and payment system to this prototype for improvement in the future. © 2024 IEEE.

关键词： Ultrasonic sensors

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Nano Silica Synthesis from Rice Husk Ash and Fly Ash: A review 4

Nano Silica Synthesis from Rice Husk Ash and Fly Ash: A revi...

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4th International Conference on Science, engineering, and Technology, ICSET 2024

作者： Setiawati, M. Saggaf, A. Hasyim, S. Civil Engineering Masters Study Program Faculty of Engineering Sriwijaya University Indonesia

Nanotechnology has been growing rapidly for the past decade. Nano Silica have also received much attention because of its great capability of thermal that can be used in various fields like chromatography, cosmetics, medicine, drugs, agriculture and optics. This paper then conducts literature review on the synthesis of nano silica materials from waste materials abundantly available such as fly ash and rice husk, especially using two popular synthesis methods namely sol-gel method and the alkali fusion method. In conclusion, despite utilizing waste materials, the results showed that those methods can produce nano silica with high-purity level. Additionally, compared to alkali fusion, the sol-gel method is considered better technique due to its simpler process, low-temperature need, and controllable morphology of nano silica. Therefore, sol gel method has been extensively applied to produce nano silica particle. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Sol-gel process

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Application of the K-Medoids Clustering Model and Borda Decision Group in Viewing Flood Area Groupings in North Aceh Regency

Application of the K-Medoids Clustering Model and Borda Deci...

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2023 International Workshop on Artificial Intelligence and Image Processing, IWAIIP 2023

作者： Fuadi, Wahyu Sahputra, Ilham Fariadi, Dedi Agustinar Universitas Malikussaleh Informatics Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Information Systems Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Electrical Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia

ISBN: (纸本)9798350382914

The importance of the K-Medoid model in viewing disaster-prone areas in each sub-district in North Aceh. The advantage of the k-medoid model results is that it has better cluster centers than other models. The novelty of this research is the cluster results are assessed by each decision maker using the Borda group model in providing flood disaster assistance or areas that are a priority for handling, which are included in the flood-prone cluster. Therefore, this research is important because it can be used to identify areas most severely affected by flooding. This research aims to analyze and identify the impact of flood hazards based on grouping and decision-making using the Borda group model in each sub-district in North Aceh. The results of the k-medoids model show 3 clusters that can see potential areas for flood disasters, namely very vulnerable. There are six sub-districts. For the k-medoids results, ten sub-districts are vulnerable. Lastly, the safe zones are 11 sub-districts. This research's k-medoid model analysis is more precise in seeing clusters of places that are potentially affected by flooding based on spatial maps of their nearest neighboring areas. The percentage of each cluster is as follows: Cluster 1 is 4%, Cluster 2 is 55%, and Cluster 3 is 41%. The k-medoid model provided this result after three iterations, with a closeness difference of 1.594510537. The results of the Borda model group research can be used as a recommendation for the areas that receive the highest priority in disaster management. © 2023 IEEE.

关键词： Floods

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Techno-economic analysis of green hydrogen production by a floating solar photovoltaic system for industrial decarbonization

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Clean Energy 2024年第4期8卷 1-14页

作者： Rahma Muthia Anastasia Segari Putri Pramudya Mochamad Rafly Maulana Widodo Wahyu Purwanto Department of Chemical Engineering Faculty of EngineeringUniversitas IndonesiaDepok16424Indonesia Sustainable Energy Systems and Policy Research Cluster Universitas IndonesiaDepok16424Indonesia Master Program in Energy Systems Engineering Faculty of EngineeringUniversitas IndonesiaDepok16424Indonesia

This study proposes a conceptual design of green hydrogen production via proton exchange membrane electrolysis powered by a floating solar photovoltaic *** system contributes to industrial decarbonization in which hydrogen blending with natural gas is proposed as an approach to smooth the energy *** proposed design addresses the challenge of supplying a continuous flow-rate of green hydrogen,which is typically demanded by industrial end *** study particularly considers a realistic area required for the installation of a floating solar photovoltaic *** enable the green hydrogen production of 7.5 million standard cubic feet per day,the required structure includes the floating solar photovoltaic system and Li-ion batteries with the nominal capacities of 518.4 megawatts and 780.8 *** is equivalent to the requirement for 1524765 photovoltaic modules and 3718 Li-ion *** assessment confirms the technical viability of the proposed concept of green hydrogen production,transportation and *** the present commercialization is hindered by economics due to a high green hydrogen production cost of USD 26.95 per kg,this green hydrogen pathway is expected to be competitive with grey hydrogen produced via coal gasification and via natural gas steam reforming by 2043 and 2047,respectively.

关键词： floating solar photovoltaics gas blending green hydrogen industrial decarbonization lithium-ion battery photon exchange membrane electrolysis

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L-Heat Pipe Simulation for Lithium-Ion Electric Vehicle Battery Cooling Systems 4

L-Heat Pipe Simulation for Lithium-Ion Electric Vehicle Batt...

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4th International Symposium on Advances and Innovation in Mechanical engineering, ISAIME 2023

作者： Septiadi, Wayan Nata Astawa, Ketut Eleazar, Rolland Pierce Ramadhani, Dandi Bhaswara, Nabiel Rafa Angel Jayendra, Kadek Dananta Study Program of Mechanical Engineering Faculty of Engineering Universitas Udayana Bali Bukit Jimbaran80361 Indonesia

The Li-ion battery is electrical storage in the form of chemical energy and is considered the strongest candidate for electrical-based automotive applications. The performance of the battery greatly affects the performance of electric vehicles. There is a need for effective thermal management to control battery temperature below a defined temperature such as 50°C. The thermal management system in the battery can be done by passively cooling it using heat pipes and heat sinks. This research was conducted by simulating the Makara Electric Vehicle's electric scooter battery module which was applied with a heat pipe-based cooling system. The simulated module focuses on heat pipes and 18650 lithium-ion batteries with discharge rate variations of 1C, 2C., and 3C. The method used is literature study and CFD simulation. The results show that the heat pipe cooling system can reduce battery temperature at each discharge rate variation of 12,85%, 16,23%, and 23,74%. Heat Pipe can absorb the highest heat of 68,1178 kW when the module uses a 3C battery. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Cooling systems

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Convolutional Neural Network for Cataract Clasification Using Primary Dataset 9

Convolutional Neural Network for Cataract Clasification Usin...

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9th International Conference on Business and Industrial Research, ICBIR 2024

作者： Totok Suryawan, I Gede Putra, I Wayan Murmayasa Adi Informatics Engineering Study Program Faculty of Technology and Informatics Denpasar Indonesia

ISBN: (纸本)9798350383010

Cataracts are the main factor causing blindness in Indonesia. Traditional diagnostic methods involving clinical examination by an ophthalmologist using a slit-lamp and visual tests have many challenges such as limited resources, time, and medical expertise may not be available in all locations, especially in less developed areas. Utilizing medical image technology is a wise choice because it allows early detection and monitoring of the development of this cataract disease Technology is needed to identify medical images that have valuable information so that early detection or monitoring of cataract development can be carried out. CNN as a part of deep learning has the ability to perform automatic feature extraction so that it can identify eye images. A CNN model for recognizing cataracts in eye images taken directly from Bhayangkara Hospital in Denpasar Bali has been developed in this research. The model developed is equipped with a dropout layer technique to prevent overfitting. The test results show that the CNN developed in this research produces very good performance with an average accuracy level of 92% on public dataset images, and 94% on primary dataset images. Tested using the primary dataset and public dataset, this CNN model shows very good performance because it can correctly identify an average of 94% of eye images in the primary dataset, and 92% of eye images in the public dataset.. © 2024 IEEE.

关键词： Convolutional neural networks

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