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Maximizing aged photovoltaic array power: a comp.ter modelling study

CLEAN ENERGY 2024年第1期8卷 171-187页

作者： Sibai, Fadi N. Gulf Univ sci.& Technol Elect & Comp Engn Dept Mishref Kuwait

Photovoltaic (PV) modules age with time for various reasons such as corroded joints and terminals and glass coating defects, and their ageing degrades the PV array power. With the help of the PV array numerical model, this paper explores the effects of PV module ageing on the PV array power, and the power gains and costs of rearranging and recabling aged PV modules in a PV array. The numerical PV array model is first revised to account for module ageing, rearrangement and recabling, with the relevant equations presented herein. The updated numerical model is then used to obtain the array powers for seven different PV arrays. The power results are then analysed in view of the attributes of the seven PV array examples. A guiding method to recommend recabling after rearranging aged modules is then proposed, leading to further significant power gains, while eliminating intra-row mismatches. When certain conditions are met, it was shown that recabling PV modules after rearranging them may lead to further significant power gains, reaching 57% and 98% in two considered PV array examples. Higher gains are possible in other arrays. A cost-benefit analysis weighing annual power gains versus estimated recabling costs is also given for the seven considered PV array examples to guide recabling decisions based on technical and economic merits. In the considered examples, recabling costs can be recovered in comp.red with the powers of the aged arrays, power gains due to our proposed rearranging and recabling the PV arrays ranged between 73% and 131% in the considered examples-well over the gains reported in the literature. Moreover, the cost of our static module rearrangement and recabling method outshines the costs of dynamic reconfiguration methods recently published in the literature.

关键词： solar energy optimizing array power photovoltaic array modelling photovoltaic modules ageing photovoltaic module rearrangement module recabling and reconfiguration PV array mismatch POINT TRACKING MODULE RECONFIGURATION PERFORMANCE SIMULATION IMPACT CELL

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Promoting rigor in blockchain energy and environmental footprint research: A systematic literature review

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BLOCKCHAIN-RESEARCH AND APPLICATIONS 2024年第1期5卷 133-151页

作者： Sai, Ashish Rajendra Vranken, Harald Open Univ Dept Comp Sci NL-6419 AT Heerlen Netherlands Maastricht Univ Dept Adv Comp Sci NL-6211 LK Maastricht Netherlands Radboud Univ Nijmegen Inst Comp & Informat Sci NL-6525 XZ Nijmegen Netherlands

There is a growing interest in understanding the energy and environmental footprint of digital currencies, specifically in cryptocurrencies such as Bitcoin and Ethereum. These cryptocurrencies are operated by a geographically distributed network of comp.ting nodes, making it hard to estimate their energy consumption accurately. Existing studies, both in academia and industry, attempt to model cryptocurrency energy consumption often based on a number of assumptions, for instance, about the hardware in use or the geographic distribution of the comp.ting nodes. A number of these studies have already been widely criticized for their design choices and subsequent over- or under-estimation of energy use. In this study, we evaluate the reliability of prior models and estimates by leveraging existing sci.ntific literature from fields cognizant of blockchain, such as social energy sci.nces and information systems. We first design a quality assessment framework based on existing research, and we then conduct a systematic literature review examining sci.ntific and non-academic literature demonstrating common issues and potential avenues of addressing these issues. Our goal with this article is to advance the field by promoting sci.ntific rigor in studies focusing on blockchain energy footprint. To that end, we provide a novel set of codes of conduct for the five most widely used research methodologies: Quantitative energy modeling, literature reviews, data analysis and statistics, case studies, and experiments. We envision that this code of conduct would assist in standardizing the design and assessment of studies focusing on blockchain-based systems' energy and environmental footprint.

关键词： Blockchain Energy consumption Environmental footprint sci.ntific rigor Reliability CARBON FOOTPRINT BITCOIN CONSUMPTION KAPPA

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Image classification of lotus in Nong Han Chaloem Phrakiat Lotus Park using convolutional neural networks

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ARTIFICIAL INTELLIGENCE IN AGRICULTURE 2024年第1期11卷 23-33页

作者： Phattaraworamet, Thanawat Sangsuriyun, Sawinee Kutchomsri, Phoempol Chokphoemphun, Susama Kasetsart Univ Chalermphrakiat Sakonnakhon Prov Ca Fac Sci & Engn Dept Elect & Comp Engn Sakon Nakhon Thailand Kasetsart Univ Chalermphrakiat Sakonnakhon Prov Ca Fac Sci & Engn Dept Comp & Informat Sci Sakon Nakhon Thailand

The Nong Han Chaloem Phrakiat Lotus Park is a tourist attraction and a source of learning regarding lotus plants. However, as a training area, it lacks appeal and learning motivation due to its conventional presentation of information regarding lotus plants. The current study introduced the concept of smart learning in this setting to increase interest and motivation for learning. Convolutional neural networks (CNNs) were used for the classification of lotus plant species, for use in the development of a mobile application to display details about each species. The scope of the study was to classify 11 species of lotus plants using the proposed CNN model based on different techniques (augmentation, dropout, and L2) and hyper parameters (dropout and epoch number). The expected outcome was to obtain a high-performance CNN model with reduced total parameters comp.red to using three different pre -trained CNN models (Inception V3, VGG16, and VGG19) as benchmarks. The performance of the model was presented in terms of accuracy, F1 -score, precision, and recall values. The results showed that the CNN model with the augmentation, dropout, and L2 techniques at a dropout value of 0.4 and an epoch number of 30 provided the highest testing accuracy of 0.9954. The best proposed model was more accurate than the pre -trained CNN models, especially comp.red to Inception V3. In addition, the number of total parameters was reduced by approximately 1.80-2.19 times. These findings demonstrated that the proposed model with a small number of total parameters had a satisfactory degree of classification accuracy. (c) 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY -NC -ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Lotus Park Classification Smart learning park Convolutional neural network

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Robot soccer simulation comp.tition platform based on multi-agent

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Journal of Harbin Institute of Technology(New Series) 2001年第3期8卷 203-206页

作者：洪炳熔高全胜褚海涛 dept. of comp. sci. and eng. Harbin Inst. of Technol. Harbin 150001 China

Presents the robot soccer software simulation platform to be firstly used at FIRA Robot World Cup China 2001, introduces the system’s purpose and design plan; discusses the system core server configuration and working principle; describes the operating method and how to develop comp.tition strategy, and refers to the teams to take part in FIRA Robot World Cup China 2001 and investigators who are interested in the distributed multi agent system.

关键词： multi agent system simulation comp.tition server client.

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Pass-ball trainning based on genetic reinforcement learning

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Journal of Harbin Institute of Technology(New Series) 2001年第3期8卷 279-282页

作者：褚海涛洪炳熔 dept. of comp. sci. and eng. Harbin Inst. of Technol. Harbin 150001 China

Introduces a mixture genetic algorithm and reinforcement learning comp.tation model used for independent agent learning in continuous, distributive, open environment, which takes full advantage of the reactive and robust of reinforcement learning algorithm and the property that genetic algorithm is suitable to the problem with high dimension,large collectivity, comp.ex environment, and concludes that through proper training, the result verifies that this method is available in the comp.ex multi agent environment.

关键词： reinforcement genetic multi agent genetic reinforcement learning

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Design of robot soccer simulator

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Journal of Harbin Institute of Technology(New Series) 2001年第3期8卷 256-260页

作者：高全胜洪炳熔褚海涛 dept. of comp. sci. and eng. Harbin Inst. of Technol. Harbin 150001 China

Robot soccer game is an interesting emerging domain for multiple cooperative robotic system. This paper discusses the detailed design of a simulator, and describes the architecture of soccer server and client in detail. This simulator is sufficiently flexible and robust for the users to develop strategies for a simulated comp.tition and to test algorithms of intelligent robotics.

关键词： robotic soccer simulator client server

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Robot soccer action selection based on Qlearning

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Journal of Harbin Institute of Technology(New Series) 2001年第3期8卷 212-214页

作者：刘新宇洪炳熔 dept. of comp. sci. and eng. Harbin Inst. of Technol. Harbin 150001 China

This paper researches robot soccer action selection based on Q learning .The robot learn to activate particular behavior given their current situation and reward signal. We adopt neural network to implementations ... 详细信息

关键词： robot soccer action selection Q learning neural network

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Layered learning of soccer robot based on artificial neural network

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Journal of Harbin Institute of Technology(New Series) 2001年第3期8卷 276-278页

作者：韩学东洪炳熔 dept. of comp. sci. and eng. Harbin Inst. of Technol. Harbin 150001 China

Discusses the application of artificial neural network for MIROSOT, introduces a layered model of BP network of soccer robot for learning basic behavior and cooperative behavior, and concludes from experimental result... 详细信息

关键词： artificial neural network (ANN) MIROSOT layered learning soccer robot

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Genetic algorithm-fuzzy based dynamic motion planning approach for a mobile robot

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Journal of Harbin Institute of Technology(New Series) 2001年第3期8卷 228-232页

作者：王月海洪炳熔 dept. of comp. sci. and eng. Harbin Inst. of Technol. Harbin 150001 China

Presents the mobile robots dynamic motion planning problem with a task to find an obstacle free route that requires minimum travel time from the start point to the destination point in a changing environment, due to the obstacle’s moving. An Genetic Algorithm fuzzy (GA Fuzzy) based optimal approach proposed to find any obstacle free path and the GA used to select the optimal one, points out that using this learned knowledge off line, a mobile robot can navigate to its goal point when it faces new scenario on line. Concludes with the optimal rule base given and the simulation results showing its effectiveness.

关键词： GA fuzzy approach dynamic motion planning mobile robot optimal

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Multi-agent coordination strategy estimation method based on control domain

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Journal of Harbin Institute of Technology(New Series) 2001年第3期8卷 249-252页

作者：曙光洪炳熔 dept. of comp. sci. and eng. Harbin Inst. of Technol. Harbin 150001 China

For estimation group comp.tition and multiagent coordination strategy, this paper introduces a notion based on multiagent group. According to the control domain, it analyzes the multiagent strategy during comp.tition in the macroscopic. It has been adopted in robot soccer and result enunciates that our method does not depend on comp.tition result. It can objectively quantitatively estimate coordination strategy.

关键词： multiagent coordination control domain color histogram

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