Trends in Renewable Energy最新文献_第2页

Application and Research Progress of Heat Pipe in Thermal Management of Lithium-Ion Battery 热管在锂离子电池热管理中的应用与研究进展

Trends in Renewable Energy Pub Date : 2022-08-01 DOI: 10.17737/tre.2022.8.2.00145

Yilin Ning, Renyi Tao, Jiaqi Luo, Qianchao Hu

引用次数: 1

A Review of Engine Emissions Testing Methods for Environmental Sustainability 环境可持续性发动机排放测试方法综述

Trends in Renewable Energy Pub Date : 2022-01-01 DOI: 10.17737/tre.2022.8.2.00141

Minghao Wang

引用次数: 0

Energy Conversion and Conservation Technology in Facing Net Zero-Emission Conditions and Supporting National Defense 面向净零排放与支持国防的能源转换与节能技术

Trends in Renewable Energy Pub Date : 2022-01-01 DOI: 10.17737/tre.2022.8.1.00139

Abdi Manab Idris, N. Sasongko, Y. Kuntjoro

{"title":"Energy Conversion and Conservation Technology in Facing Net Zero-Emission Conditions and Supporting National Defense","authors":"Abdi Manab Idris, N. Sasongko, Y. Kuntjoro","doi":"10.17737/tre.2022.8.1.00139","DOIUrl":"https://doi.org/10.17737/tre.2022.8.1.00139","url":null,"abstract":"Conversion technology is a solution that was born to solve energy problems and human needs. Without energy, all human activities ranging from households and jobs to the industry cannot work as they should, but energy conversion that uses conventional fuels will cause new issues such as climate changes. Therefore, energy conservation is very important for sustainability and energy saving. So, by reducing energy use, the pollution produced will decrease. This paper focuses on the introduction of energy conversion and conservation technology based on a qualitative literature review to deal with net-zero emission conditions. The conversion technology is environmentally friendly and efficient, and is committed to following the international Net Zero Emissions (NZE) agreement, renewable energy conversion technology and new technologies (fuel cells) to meet Indonesia's defense equipment and defense needs. Indonesia's energy use (2019) consists of oil 35%, coal 37.3%, gas 18.5%, hydropower 2.5%, geothermal 1.7%, biofuel 3%, and other renewables at nearly 2%. In 2013 Indonesia's recoverable shale resources obtained a value of 8 Billion Barrels. Because of that the total CO2 emissions resulting from energy use in Indonesia are 581 MtCO2 in 2019. Efforts to fulfil Indonesia's Nationally Determined Contribution (NDC) continue to be carried out, so that Indonesia's target is to enter a state of net-zero emission by 2060. Fuel cell technology has the potential to be applied in the Indonesian National Army, because of its relatively small size, light weight, zero-emission, high specific energy and zero-noise.","PeriodicalId":23305,"journal":{"name":"Trends in Renewable Energy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78365531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Review of the Effect of Compressed Natural Gas (CNG) on Combustion and Emission Performance of Internal Combustion Engines 压缩天然气(CNG)对内燃机燃烧和排放性能影响的研究进展

Trends in Renewable Energy Pub Date : 2022-01-01 DOI: 10.17737/tre.2022.8.2.00144

Yufan Liang

引用次数: 0

Modeling and Performance Investigations of Partially Shaded Solar PV Arrays with Cell Partition Technique based Modules 基于单元划分技术的部分遮阳太阳能光伏阵列建模与性能研究

Trends in Renewable Energy Pub Date : 2022-01-01 DOI: 10.17737/tre.2022.8.1.00134

V. Balaraju, C. Chengaiah

{"title":"Modeling and Performance Investigations of Partially Shaded Solar PV Arrays with Cell Partition Technique based Modules","authors":"V. Balaraju, C. Chengaiah","doi":"10.17737/tre.2022.8.1.00134","DOIUrl":"https://doi.org/10.17737/tre.2022.8.1.00134","url":null,"abstract":"Solar photovoltaic (PV) modules consist of solar cells connected in series to provide the required output power. The solar PV system is experiencing major challenges, which are mainly due to the partial shadows on the photovoltaic modules leading to mismatching power loss and hot spot problems. Hotspots have become a major cause of PV module failure. The Cell Partition Technique (CPT) is proposed to reduce hotspots and minimize mismatch losses caused by partial shadings. Specifically, each solar PV cell (Full cell) in a solar PV module is divided or partitioned into two half cells (known as Half-Cut Cells or HC) and three equal cells (known as Tri-Cut Cells or TC) in accordance with the proposed technique. The HC and TC types of cells are connected in a strings of series-parallel connection, and bypass diode is placed in middle of the solar PV module to ensure proper operation. The primary aim of this research is to model, evaluate, and investigate the performance of solar PV arrays using new PV modules are developed based on Cell Partition Technique (PVM-CPT), such as half-cut cell modules (HCM), and tri-cut cell modules (TCM) and compared with full-sized cell modules (FCM). These PVM-CPT are connected in Series–Parallel (SP), Total-Cross-Tied (TCT), and proposed static shade dispersion based TCT reconfiguration (SD-TCTR) for the array sizes of 3x4, 4x3 and 4x4, respectively. The purpose is to select the most appropriate solar PV array configurations in terms of the highest global maximum power and thus the lowest mismatch power losses under short and narrow, short and wide, long and narrow, long and wide type of cell level partial shadings. The Matlab/Simulink software is used to simulate and analyze all of the shading cases. The results show that, when compared to conventional module configurations under different shading conditions, the proposed static SD-TCTR arrangement with TC modules (SDTCTR-TCM) exhibits the lowest mismatch power losses and the greatest improvement in array power.","PeriodicalId":23305,"journal":{"name":"Trends in Renewable Energy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74895424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Backpropagation Neural Network (BPNN) Algorithm for Predicting Wind Speed Patterns in East Nusa Tenggara 反向传播神经网络(BPNN)算法预测东努沙登加拉地区风速模式

Trends in Renewable Energy Pub Date : 2022-01-01 DOI: 10.17737/tre.2022.8.2.00143

Andri Gunawan, Suyono Thamrin, Y. Kuntjoro, Abd. Rahim Idris

{"title":"Backpropagation Neural Network (BPNN) Algorithm for Predicting Wind Speed Patterns in East Nusa Tenggara","authors":"Andri Gunawan, Suyono Thamrin, Y. Kuntjoro, Abd. Rahim Idris","doi":"10.17737/tre.2022.8.2.00143","DOIUrl":"https://doi.org/10.17737/tre.2022.8.2.00143","url":null,"abstract":"The Paris agreement compels all countries to make major contributions to the zero-emission scheme, a legally binding international treaty on climate change. This fulfilment must be supported by technological developments towards Society 5.0, forcing every country to develop renewable energy (clean energy) on a large scale. One of the renewable energies with the highest efficiency is wind power generation. Its construction requires a large cost, and the best location must consider the high wind speed. East Nusa Tenggara Province is one of the locations in the border area with insufficient electricity. The choice of location was supported by military operations in guarding the border which required a lot of energy. Therefore, it is necessary to predict wind speed patterns based on historical data from the database so that wind power plants can be realized. One of the best methods for long-term prediction of wind speed is the backpropagation neural network (BPPN) method. Wind speed data was used from January 2003 to December 2020 with a total of 216 data sets obtained from NASA. It should be noted that January 2003 to December 2010 data is positioned as input data, while training target data is from January 2011-December 2015. Validation data is determined from January 2016-December 2020. The best predictive architecture model is 8-11-5- 5, learning rate is 0.4 and epoch is 20,000. Prediction accuracy is very good with a mean square error (MSE) value of 0.007634 and a mean absolute percentage error (MAPE) of 11.62783. The highest wind speed was shown in February 2018 as 10.75 m/s.","PeriodicalId":23305,"journal":{"name":"Trends in Renewable Energy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85926667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Study of hydrogen internal combustion engine vehicles based on the whole life cycle evaluation method 基于全生命周期评价方法的氢内燃机汽车研究

Trends in Renewable Energy Pub Date : 2022-01-01 DOI: 10.17737/tre.2022.8.1.00135

Ping Guo, J. Xu, Chuanhao Zhao, Baoliang Zhang

{"title":"Study of hydrogen internal combustion engine vehicles based on the whole life cycle evaluation method","authors":"Ping Guo, J. Xu, Chuanhao Zhao, Baoliang Zhang","doi":"10.17737/tre.2022.8.1.00135","DOIUrl":"https://doi.org/10.17737/tre.2022.8.1.00135","url":null,"abstract":"In order to better achieve the goal of low carbon emissions from vehicles, a whole life cycle assessment of hydrogen-fueled internal combustion engine vehicles has been conducted in recent years. Based on the study of hydrogen use around the world, we studied the emission and economic performance of hydrogen-fueled internal combustion engine vehicles from the beginning of hydrogen production to the end of use (Well-to-Wheel, WTW) based on the whole life cycle evaluation method. The results show that the overall environmental impact of hydrogen production by steam reforming of natural gas is the smallest, and that the rational use of \"abandoned electricity\" for hydrogen production from electrolytic water in the western part of China significantly reduces the overall environmental impact and the cost of hydrogen production. In the use phase, the emissions are less, which not only can meet the National 6 emission standard, but also can reach higher emission standard after adding exhaust gas recirculation (EGR). From the whole life cycle point of view, hydrogen-fueled internal combustion engine has a very good development prospect.","PeriodicalId":23305,"journal":{"name":"Trends in Renewable Energy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89116623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Construction of Hydrogen Safety Evaluation Model Based on Analytic Hierarchy Process (AHP) 基于层次分析法(AHP)的氢安全评价模型构建

Trends in Renewable Energy Pub Date : 2022-01-01 DOI: 10.17737/tre.2022.8.2.00140

J. Xu, Minghao Wang, Ping Guo

{"title":"Construction of Hydrogen Safety Evaluation Model Based on Analytic Hierarchy Process (AHP)","authors":"J. Xu, Minghao Wang, Ping Guo","doi":"10.17737/tre.2022.8.2.00140","DOIUrl":"https://doi.org/10.17737/tre.2022.8.2.00140","url":null,"abstract":"With the large consumption of traditional primary energy, hydrogen as a clean and renewable energy has been widely studied by scholars around the world. Hydrogen is mainly used in hydrogen internal combustion engine and hydrogen fuel cell. Hydrogen internal combustion engine is the direct combustion of hydrogen as fuel, with the advantages of easy use. Alternatively, hydrogen fuel cell converts the chemical energy of hydrogen into electrical energy by electrochemical reaction, which has the advantages of high efficiency and zero pollution. Regardless of the use method, the safety of hydrogen use needs to be considered. However, in the whole life cycle of hydrogen, the process from hydrogen production to the use of hydrogen in automobiles is extremely complex. There are many factors affecting the safety of hydrogen use, and a single factor cannot be used as an evaluation. In order to make the evaluation of hydrogen safety more complete and accurate, the weight of four primary evaluation indexes and eight secondary evaluation indexes affecting hydrogen safety is determined by analytic hierarchy process, and a reliable hydrogen safety evaluation model is established.","PeriodicalId":23305,"journal":{"name":"Trends in Renewable Energy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77032232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Life Cycle Assessment of a Coke Cleaning Agent 焦炭清洗剂的生命周期评价

Trends in Renewable Energy Pub Date : 2022-01-01 DOI: 10.17737/tre.2022.8.1.00142

Yu-Ri Gong, Changyan Yang, Yinhang Qu, Jiayi Li, Bo-han Yang, Yigang Ding, Bo Zhang

引用次数: 1

Information Technology, Artificial Intelligence and Machine Learning in Smart Grid – Performance Comparison between Topology Identification Methodology and Neural Network Identification Methodology for the Branch Number Approximation of Overhead Low-Voltage Broadband over Power Lines Network Topolog 智能电网中的信息技术、人工智能和机器学习——架空低压宽带电力线网络拓扑分支数逼近的拓扑识别方法与神经网络识别方法的性能比较

Trends in Renewable Energy Pub Date : 2021-12-01 DOI: 10.17737/tre.2021.7.1.00133

A. Lazaropoulos

{"title":"Information Technology, Artificial Intelligence and Machine Learning in Smart Grid – Performance Comparison between Topology Identification Methodology and Neural Network Identification Methodology for the Branch Number Approximation of Overhead Low-Voltage Broadband over Power Lines Network Topolog","authors":"A. Lazaropoulos","doi":"10.17737/tre.2021.7.1.00133","DOIUrl":"https://doi.org/10.17737/tre.2021.7.1.00133","url":null,"abstract":"Broadband over Power Lines (BPL) networks that are deployed across the smart grid can benefit from the usage of machine learning, as smarter grid diagnostics are collected and analyzed. In this paper, the neural network identification methodology of Overhead Low-Voltage (OV LV) BPL networks that aims at identifying the number of branches for a given OV LV BPL topology channel attenuation behavior is proposed, which is simply denoted as NNIM-BNI. In order to identify the branch number of an OV LV BPL topology through its channel attenuation behavior, NNIM-BNI exploits the Deterministic Hybrid Model (DHM), which has been extensively tested in OV LV BPL networks for their channel attenuation determination, and the OV LV BPL topology database of Topology Identification Methodology (TIM). The results of NNIM-BNI towards the branch number identification of OV LV BPL topologies are compared against the ones of a newly proposed TIM-based methodology, denoted as TIM-BNI.","PeriodicalId":23305,"journal":{"name":"Trends in Renewable Energy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90534677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0