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Energy Mutual Networking Establishment Method Based on Hydrogen Production from Water Electrolysis Technology
Xin Nie,
Anjar Praditya Wicaksono
Issue:
Volume 11, Issue 2, June 2023
Pages:
38-44
Received:
17 March 2023
Accepted:
6 April 2023
Published:
13 April 2023
Abstract: The new power system has the characteristics of a high proportion of renewable energy power generation and multi-field interconnection. In order to reduce the carbon emission level of the new power system, it is necessary to improve the flexible response capability of the system in the form of different energy carriers. Analyze the feasibility of two hydrogen energy utilization technologies such as water electrolysis for hydrogen production and carbon dioxide hydromethanation, and propose to use hydrogen as an energy carrier to form an energy mutual networking, through the transformation between renewable energy-electricity-hydrogen energy-electricity-chemical energy, the flexible response capability of the new power system can be improved, and the carbon emission level of the new power system can be reduced. The method of building the energy mutual networking on the basis of water electrolysis for hydrogen production technology is as follows: first, use renewable energy for water electrolysis for hydrogen production, and use hydrogen to supplement power generation through fuel cells when the power output is insufficient; then, capture carbon dioxide generated by thermal power generation, use hydrogen to reduce carbon dioxide to produce methane and finally, hydrogen and methane are sent to the natural gas pipeline network for reuse. At the same time, an energy storage system with an appropriate capacity is installed in the new power system to stabilize the volatility of wind-solar hybrid power generation, and the use of wind-solar hybrid energy storage power generation technology can further improve the hydrogen production efficiency of renewable energy.
Abstract: The new power system has the characteristics of a high proportion of renewable energy power generation and multi-field interconnection. In order to reduce the carbon emission level of the new power system, it is necessary to improve the flexible response capability of the system in the form of different energy carriers. Analyze the feasibility of t...
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Success in Generating and Distributing Electricity Power Throughout Bangladesh: An Overview of NESCO (Nothern Electricity Supply Company)
Nymatul Jannat Nipa,
Deb Kumar Sarkar Rajib
Issue:
Volume 11, Issue 2, June 2023
Pages:
45-51
Received:
16 March 2023
Accepted:
17 April 2023
Published:
10 May 2023
Abstract: Since electricity is a powerful tool for development, Bangladesh has succeeded in ensuring that energy is distributed properly throughout the country. Huge demand for electricity compelled the Bangladeshi government to increase production using coal and natural gas. With the assistance of five separate agencies that are interconnected to oversee the distribution and import of power, the Bangladeshi government has now provided electricity to all of Bangladesh. Northern Electricity Supply Co. Ltd. (NESCO), one of these five entities, is in charge of managing the electricity supply to Bangladesh's northern region. Rangpur and Rajshahi are including in these territory and these two areas include 16 districts. NESCO has contributed to the power generation and electricity sector of Bangladesh since 2016 and now is one reliable name of Norhern Bangladesh in case of electricity power generation and distribution. This paper will attempt to analyze the potential and significance of NESCO in power supply in Bangladesh, and how far it goes with earning profit. The findings supported the objectives with scrunizing the extracted data and also propose a future prospect of what to do next with NESCO. SPSS and MS excel are used for data analysis in this paper.
Abstract: Since electricity is a powerful tool for development, Bangladesh has succeeded in ensuring that energy is distributed properly throughout the country. Huge demand for electricity compelled the Bangladeshi government to increase production using coal and natural gas. With the assistance of five separate agencies that are interconnected to oversee th...
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Improvement of the Destructive Interference Method in the Mitigation of PLC Radiation of Imbalanced Impedance Electrical Networks
Abba Kaga Lagare Abatcha,
Daouda Abdourahimoun,
Makinta Boukar*,
Saïdou Madougou
Issue:
Volume 11, Issue 2, June 2023
Pages:
52-60
Received:
7 April 2023
Accepted:
2 May 2023
Published:
18 May 2023
DOI:
10.11648/j.ajee.20231102.13
Downloads:
Views:
Abstract: Communication technology by power line carrier (PLC) marks its return with the advent of energy-mix. Although appreciated by power-grid operators and customers, this technology suffers from the emission of parasitic electromagnetic radiation. Suspected of causing heath problem, the future of this technology is linked to the level of its radiation reduction. This radiation, which is mainly due to the common mode current, can be attenuated by many ways such as the destructive interference method. The destructive interference method is a dynamic mitigation method mainly used on indoor PLC network. The mitigation of PLC radiation by this method gives reduction rates of more than 24 dB on a balanced impedance electrical network. Unfortunately, the effectiveness of this method decreases sharply depending on the level of network instability (impedance imbalance). This work focuses on improving the effectiveness of the destructive interference method on certain points of the network (point of weak mitigation or amplification of radiation) in an unstable environment. This improvement of the method is centered on the adaptation of the mitigation parameters (phase and amplitude) via a sequential mode of action. The positive impact of the improved method, although focused on a specific area, extended throughout the network. For a network with imbalanced impedance, the average rate of mitigation with this new method exceeds 11 dB.
Abstract: Communication technology by power line carrier (PLC) marks its return with the advent of energy-mix. Although appreciated by power-grid operators and customers, this technology suffers from the emission of parasitic electromagnetic radiation. Suspected of causing heath problem, the future of this technology is linked to the level of its radiation r...
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Predicting Building Energy Consumption Using Stacking-Based Ensemble Model
Chang Lu,
Yining Jing,
Xinxue Lin,
Kun Li
Issue:
Volume 11, Issue 2, June 2023
Pages:
61-66
Received:
18 February 2023
Accepted:
27 May 2023
Published:
28 May 2023
Abstract: With the development of urbanization, the smart city is gradually receiving widespread attention. The construction industry accounts for nearly half of China's total carbon emissions, which is one of the main contributors to the greenhouse effect. Accurate prediction of building energy consumption is of vital significance for energy conservation and smart city development. However, the traditional statistical methods for building energy consumption prediction have some problems such as low fitting accuracy and inaccurate prediction results. Machine learning algorithms are developing rapidly, which have significantly improved the predictive accuracy of building energy consumption. In this study, a stacking-based ensemble learning model based on architectural features is proposed. The building energy consumption mainly consists of the heating load and cooling load, which are used as target variables to predict the building energy consumption. Firstly, the normalized preprocessing is performed on the raw data. Subsequently, the ensemble model is obtained by integrating the optimal base predictors using stacking-based ensemble learning method. In the experiments, the dataset from the building energy area is tested with three metrics to evaluate the performance of the proposed model in building energy consumption prediction. The experimental results show that the proposed ensemble model outperforms the base predictors in solving the building energy consumption prediction problem.
Abstract: With the development of urbanization, the smart city is gradually receiving widespread attention. The construction industry accounts for nearly half of China's total carbon emissions, which is one of the main contributors to the greenhouse effect. Accurate prediction of building energy consumption is of vital significance for energy conservation an...
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Effect of Heat Treatment on Mechanical Properties of Graphene Reinforced Titanium Matrix Composite Materials
Xinlong Jiao,
Zhifang Cheng,
Hongmei Zhang,
Zhenyu Wei,
Luye Wei,
Juntong Ren,
Siwei Wang,
Yongfan Li
Issue:
Volume 11, Issue 2, June 2023
Pages:
67-70
Received:
1 June 2023
Accepted:
1 July 2023
Published:
5 June 2023
Abstract: Graphene has a significant reinforcing effect. Titanium and titanium alloys have excellent properties such as high specific strength and good corrosion resistance compared to steel, and have broad application prospects in fields such as aerospace, automotive manufacturing, chemical engineering, and biomedical equipment. Graphene, as a new member of the carbon family, not only has excellent physical and mechanical properties, but also has a unique two-dimensional structure. This 2D structure has a higher specific surface area than CNT or graphite. Thus providing more contact area and interaction with the matrix material, these characteristics are very attractive for the research of composite materials. MLG/Flake Ti hybrid powder was prepared using high-energy ball milling, and then MLG/Flake Ti composite material was prepared through low-temperature high-pressure SPS preforming and high-temperature heat treatment (950°C). Perform high-temperature heat treatment at 950°C and set the insulation time to 10 minutes and 60 minutes respectively. After heat treatment, the hardness and yield strength of the material were significantly improved. After 10 minutes of heat treatment, the sample with 0.2wt% MLG added showed a yield strength of 2225MPa and an elongation of 30%, demonstrating a good match between strength and plasticity. Compared with the sample with only 0.1wt% MLG added, the strength improvement is nearly 60%. This indicates that the increase in MLG content has a significant strengthening effect.
Abstract: Graphene has a significant reinforcing effect. Titanium and titanium alloys have excellent properties such as high specific strength and good corrosion resistance compared to steel, and have broad application prospects in fields such as aerospace, automotive manufacturing, chemical engineering, and biomedical equipment. Graphene, as a new member of...
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