From gray to green: Energy crises and the role of CPEC

Duan, Wenqi; Khurshid, Adnan; Nazir, Naila; Khan, Khalid; Călin, Adrian Cantemir

doi:10.1016/j.renene.2022.03.066

Cited by 27 publications

(3 citation statements)

References 46 publications

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“…The importance of intermodal transport service in reducing freight transportation costs, reducing transit times, and shortening routes was also discussed in this research. When speed is of the essence and must take precedence over other considerations, various intermodal freight transit options are kept in mind [ 20 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of the China-Pakistan Economic Corridor on the China-Europe and China-Middle East trading route selection

Alam

Baig

et al. 2023

PLoS ONE

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This research examines the potential impact of the China-Pakistan Economic Corridor (CPEC) on the selection of trading routes between China, the Middle East, and Europe, with a specific focus on the transportation of a 40-foot standard container carrying general commodities. The study compares traditional routes with the new CPEC routes in terms of time, distance, and cost. The findings indicate that the new CPEC routes offer reduced travel time and distance when compared to the traditional routes across all provinces involved. The research reveals that the cost of road transportation along the new CPEC route is lower for Xinjiang province, but higher for the other provinces. By utilizing the new CPEC routes, the time required for goods to travel from China to the Middle East and Europe will be reduced by 10 to 20 days. Furthermore, the distance covered in this trade route will be shortened by 3,000 to 10,000 kilometres. Specifically, the province of Xinjiang in western China stands to benefit significantly from the new CPEC routes, saving approximately $2,000 on trade with the Middle East and Europe. These findings highlight the potential advantages and economic benefits that can be realized by leveraging the CPEC for trade between China, the Middle East, and Europe, particularly in terms of reduced transportation time and distance.

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Section: Literature Reviewmentioning

confidence: 99%

Impact of the China-Pakistan Economic Corridor on the China-Europe and China-Middle East trading route selection

Alam

Baig

et al. 2023

PLoS ONE

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“…As the energy crisis worsens, more and more renewable energy resources are being connected to the power system [ 1 ]. Due to the intermittency and uncertainty of renewable energy resources such as wind and solar energy, this will pose significant challenges to the stable operation of the power system [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Non-Intrusive Commercial Load Monitoring

Zhou

Shao

Wang

et al. 2022

Sensors

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Commercial load is an essential demand-side resource. Monitoring commercial loads helps not only commercial customers understand their energy usage to improve energy efficiency but also helps electric utilities develop demand-side management strategies to ensure stable operation of the power system. However, existing non-intrusive methods cannot monitor multiple commercial loads simultaneously and do not consider the high correlation and severe imbalance among commercial loads. Therefore, this paper proposes a deep learning-based non-intrusive commercial load monitoring method to solve these problems. The method takes the total power signal of the commercial building as input and directly determines the state and power consumption of several specific appliances. The key elements of the method are a new neural network structure called TTRNet and a new loss function called MLFL. TTRNet is a multi-label classification model that can autonomously learn correlation information through its unique network structure. MLFL is a loss function specifically designed for multi-label classification tasks, which solves the imbalance problem and improves the monitoring accuracy for challenging loads. To validate the proposed method, experiments are performed separately in seen and unseen scenarios using a public dataset. In the seen scenario, the method achieves an average F1 score of 0.957, which is 7.77% better than existing multi-label classification methods. In the unseen scenario, the average F1 score is 0.904, which is 1.92% better than existing methods. The experimental results show that the method proposed in this paper is both effective and practical.

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“…Green and sustainable economy determine essential demand for green energy production [1,2]. One possible way to solve this problem is to develop method for hydrogen production from renewable resources [3,4]. Green hydrogen can be produced using water electrolysis and bio renewable resources catalytic pyrolysis, gasification and transformation [5].…”

Section: Introductionmentioning

confidence: 99%

Bioethanol to Hydrogen Membrane Surface Characteristics Change Study

Сидоров¹,

Kosivtsov²,

Doluda³

2022

Bulletin of Science and Practice

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The problem of the gradual transformation of the modern economy towards greater production and consumption of ‘green’ energy requires a significant revision of existing technologies. One of the possible ways to develop green energy is the use of hydrogen as the most environmentally friendly fuel. Hydrogen can be obtained both by electrolysis, using solar energy, and using biorenewable raw materials, which can be used as ethanol, biogas, peat, agricultural waste. At the same time, for regions with a low level of illumination, the production of hydrogen by electrolysis of water using electricity generated by solar panels is inaccessible, and therefore the processing of biorenewable raw materials can take a leading position. Bioethanol is a large-capacity product with a proven production technology that widely uses waste from agriculture and wood processing. Ethanol can be used as a feedstock for hydrogen generation by means of catalytic pyrolysis or catalytic steam reforming. Membrane-catalytic steam reforming of ethanol with the production of hydrogen makes it possible to obtain hydrogen without the use of an additional purification step, however, the efficiency and stability of the membrane becomes the determining parameter that ensures the efficiency of the entire process. The degradation of inorganic membranes during catalytic steam reforming is closely related to the change in porosity as a result of hydrolysis of the membrane surface. In this connection, the study of the physicochemical properties of membranes during operation can make a significant contribution to the development of stable catalytic membranes for hydrogen production. The article presents the results of studying the physicochemical properties of an inorganic membrane for ethanol steam reforming by the method of low-temperature nitrogen adsorption. The Langmuir, Brunauer-Emmett-Taylor, t-plot and Barrett-Joyner-Halenda models were used to estimate the surface change. An increase in the surface area of mesopores during the operation of the membrane was determined.

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From gray to green: Energy crises and the role of CPEC

Cited by 27 publications

References 46 publications

Impact of the China-Pakistan Economic Corridor on the China-Europe and China-Middle East trading route selection

Impact of the China-Pakistan Economic Corridor on the China-Europe and China-Middle East trading route selection

Deep Learning-Based Non-Intrusive Commercial Load Monitoring

Bioethanol to Hydrogen Membrane Surface Characteristics Change Study

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