Domestic Power Research Articles

Feasibility of Placing Large-Scale Electrolyzers in Domestic Power Plants

The aim of the article is to verify the feasibility of placing large-scale (up to 100 MWe) water electrolysis technology unit inside, or in the proximity of a domestic nuclear power plant. The possible location is investigated from technological, logistic and nuclear-safety points of view.

Undermining liberal international organizations from within: Evidence from the Parliamentary Assembly of the Council of Europe

AbstractInternational organizations promoting democratic governance and human rights are increasingly challenged by some of their own member states. To better understand this dynamic, we propose a distinction between the illiberal ideology of political parties and their regime environment, aiming to examine the international behavior of actors extending beyond autocratic governments. We argue that the domestic regime environment plays a pivotal role in influencing the extent to which illiberal parties engage in contestation to undermine liberal norms on the international stage. We expect contestation behavior to be primarily driven by illiberal parties seeking to diminish the influence of liberal international politics on domestic power structures. Moreover, we contend that government participation moderates illiberal parties’ contestation behavior. To test our expectations empirically, we study roll call votes in the Parliamentary Assembly of the Council of Europe (PACE), one of the most powerful international parliaments promoting liberal values. Drawing on an original dataset that records approximately 500,000 individual votes cast in PACE decisions, we find evidence for substantive contestation by illiberal parties, especially those representing illiberal regimes. Only illiberal governments in liberal systems moderate themselves at the amendment stage. Our study has implications for the potential threat that emerging illiberal actors pose to international liberal institutions.

The economics of home energy usage: Insights from urban economy

Recent regional investigations in the United States have revealed a thought-provoking perspective: household electricity consumption may act as an inferior commodity, displaying a negative correlation with wealth. This finding challenges the outcomes of various other econometric analyses and underscores the importance of scrutinizing power consumption patterns across different regional service areas. While it is commonly believed that home electricity usage decreases as income rises, this may not always hold true universally. This study focuses on power usage in Seattle, Washington households, a prominent urban economy in the Pacific Northwest. Employing dynamic error correction modeling techniques, the research demonstrates statistically significant fluctuations in domestic power usage attributed to variations in actual value, actual revenue, and cold weather. In the immediate future, energy for homes in this urban economy resembles any other commodity. However, investing in electricity for homes in Seattle may not be advisable in the long run. Home power usage in Seattle declines with each percentage point increase in actual per capita income over 1.2 %. This finding highlights the need for careful consideration and strategic planning in energy management policies for urban economies like Seattle.

Analysis of the role of hydrogen energy in achieving carbon neutrality by 2050: A case study of the Republic of Korea

The importance of achieving carbon neutrality by 2050 to combat climate change is widely recognized, leading to the proposal of various net-zero scenarios using energy system models. In these scenarios, hydrogen energy is often considered as a primary mitigation option alongside renewables. However, uncertainties surrounding hydrogen technologies prevent a comprehensive analysis of its role in achieving carbon neutrality. This study focuses on examining the impact of hydrogen energy demand, supply methods, and technology levels on carbon neutrality in the Republic of Korea using an energy system model. Findings suggest that hydrogen energy could constitute a significant portion of energy supply and demand by 2050. Sensitivity analyses reveal that reducing hydrogen imports could increase domestic power demand, while improving electrolysis efficiency could lead to more efficient carbon neutrality. Additionally, employing carbon capture technologies in hydrogen production rather than power generation is deemed effective. In conclusion, while hydrogen is a main reduction option for carbon neutrality, the effective utilization of hydrogen requires an increased reliance on imported hydrogen, further technology development including improved electrolysis efficiency and increased dissemination of reforming technologies with carbon capture, and the establishment of appropriate utilization strategies.

How can the recycling of power batteries for EVs be promoted in China? A multiparty cooperative game analysis

While electric vehicles (EVs) are developing at a high speed in China, the power battery market is facing a decommissioning peak. The problem is that the recycling situation of domestic power batteries is not ideal, partly due to neglect by consumers. By considering the recycling system, mode, and policy of China’s EV power batteries, we construct a tripartite evolutionary game model of the government, consumers and EV manufacturers; analyse the stable strategy adjustment mechanisms of tripartite participation in this recycling cooperation game; and simulate the tripartite evolutionary game. The results show that when the initial willingness of the government, consumers and EV manufacturers to recycle power batteries is not strong, the government takes the lead, driving EV manufacturers and consumers to participate in power battery recycling. When the government, consumers and EV manufacturers have medium or high levels of initial willingness, the government evolves and chooses a nonregulation strategy. In addition, by simulating the impact of changes in consumer-related influencing factors on this tripartite evolutionary game, we find that subsidies for recycling power batteries are a key factor affecting consumers’ strategy choices and that boosting recycling compensation for consumers can improve their enthusiasm to participate in such recycling. Therefore, to improve the recycling of power batteries for EVs, in terms of both efficiency and percentage of deployment, the Chinese government should strengthen public education on power battery recycling, further integrate informal recycling channels, and balance the distribution of profits among consumers for recycling compensation.

Research on the Assistance and Countermeasures of Digital Empowerment in the Environment of Carbon Emission Reduction

In the current global context, what carbon reduction challenges do other nations face, and how are they leveraging digital technologies to facilitate carbon emission mitigation? Under the circumstances where China currently ranks first in the world in terms of total carbon emissions, how can the country, in light of its unique situation, employ digitalization more effectively to aid in realizing efficient carbon reduction measures? Within this framework, starting from the critical and challenging aspects of domestic carbon emissions, this paper contemplates the ways in which contemporary digital tools can be harnessed to implement high-efficiency carbon reduction strategies tailored to the national context. In the acceleration of the development of the digital economy, the role of digital technology in reducing CO2 emissions is becoming increasingly apparent. The traditional energy interconnection network has long been integrated with the traditional energy industry, but how to apply the advantages of network technology to the energy industry, so that energy has new digital characteristics and network thinking has become the energy industry urgently. To this end, this paper mainly focuses on the project research on digital empowerment in the environment of carbon emission reduction, and will mainly consider the key aspects of domestic carbon emission accounting for a large proportion based on the current situation at home and abroad and the research and development status of digital combined carbon emission reduction. In view of these aspects, the feasibility of implementing the digital assistance scheme was discussed, such as focusing on the domestic power system and aiming at the interaction and mutual drive relationship between the power system and the economic and social system; Factory operation planning, transportation industry, with data sharing open system and new format and new model innovation as the guarantee, overall promotion of comprehensive transportation digital transformation and intelligent upgrading; The building materials industry and the discussion of digitalization help build smart parks and improve the level of park informatization. Reduce carbon emissions and create favorable conditions for the subsequent domestic "zero carbon" and "carbon neutral" goals.

Exploration on the Development of Photovoltaic Power Generation Path in China Based on the Goal of “Double Carbon”

Electric energy is an economic, practical, clean, and easy to control and transform the form of energy, power industry in the national economy occupies a very important position. This paper focuses on the prediction of the development trend of power supply, analyzes the current situation of domestic power supply by selecting relevant indicators, predicts the development trend of power supply in 2024-2060, and discusses the main influencing factors of its development. At the same time, a dynamic programming model is established, particle swarm optimization is used to initially explore the maximum value of China's total photovoltaic power generation and the impact of related economic and policy factors on the total power generation, and the relevant conclusions are given.

A Study on the lack of Transmission and Distribution Line Capacity in the Domestic Power System

A Study on the lack of Transmission and Distribution Line Capacity in the Domestic Power System

Performance analysis of a blockchain enabled domestic power consumption monitoring and forecasting system

Purpose The purpose of this paper is to develop a blockchain-based data capture and transmission system that will collect real-time power consumption data from a household electrical appliance and transfer it securely to a local server for energy analytics such as forecasting. Design/methodology/approach The data capture system is composed of two current transformer (CT) sensors connected to two different electrical appliances. The CT sensors send the power readings to two Arduino microcontrollers which in turn connect to a Raspberry-Pi for aggregating the data. Blockchain is then enabled onto the Raspberry-Pi through a Java API so that the data are transmitted securely to a server. The server provides real-time visualization of the data as well as prediction using the multi-layer perceptron (MLP) and long short term memory (LSTM) algorithms. Findings The results for the blockchain analysis demonstrate that when the data readings are transmitted in smaller blocks, the security is much greater as compared with blocks of larger size. To assess the accuracy of the prediction algorithms data were collected for a 20 min interval to train the model and the algorithms were evaluated using the sliding window approach. The mean average percentage error (MAPE) was used to assess the accuracy of the algorithms and a MAPE of 1.62% and 1.99% was obtained for the LSTM and MLP algorithms, respectively. Originality/value A detailed performance analysis of the blockchain-based transmission model using time complexity, throughput and latency as well as energy forecasting has been performed.

Feasibility analysis and modeling of a solar hybrid system for residential electric vehicle charging

The process of transforming sunshine energy into electrical power is known as solar power generation. Photovoltaic (PV) technology has recently proved its cost-effectiveness and low environmental impact in generating power. The key goals of this study are to develop a solar PV system for charging electric vehicles (EVs) while utilizing the residential apartment's current domestic power supply. This study focuses on modeling grid-interactive solar PV systems for charging EVs inside a 40-unit residential apartment complex. The Solar Pro tool is used to do the techno-economic analysis of the modeled PV system. The research investigates the installation of a rooftop solar plant devoted to delivering electricity to EV charging devices on a real-time five-story residential building. The performance of the PV plant is tested under a variety of scenarios, including EV loading, shadow mapping, and local meteorological conditions. The PV plant's size is optimized at 150 kW, taking into consideration economic aspects as well as the actual proportions of the structure. In addition, the MiPower tool is used to do a load flow study of the modeled system, which includes both the grid and the PV system. This research evaluates line losses, line loading, and voltage levels at each bus at maximum loading circumstances.

Procedures for the Acquisition of Citizenship in the Republic of Kosovo

The Republic of Kosovo is a parliamentary republic that declared its independence on February 17, 2008. Currently, Kosovo is in the stage of institutional, political, and economic development and consolidation, and is strongly advancing toward the Euro-Atlantic integration process. States, in principle, within the domestic power they possess, have the right to regulate the procedures and requirements of acquiring and revoking citizenship, which can be considered as an element and instrument of the exercise of state sovereignty. However, states are generally careful when drafting legislation regarding citizenship to align their legal guidelines with important international instruments. The Council of Europe’s Convention on Nationality, along with the Law on Citizenship of Kosovo and those of other states subject to comparison, are the subject of this paper. The new Law on Citizenship (which is currently in force) was approved in 2013. This law defines the modalities of acquisition, loss, and re-acquisition of citizenship of Kosovo and other issues related to citizenship. The main focus of this article is the correct definition and fair implementation of the procedures, criteria and requirements of the modalities for obtaining the citizenship of Kosovo through the Law on Citizenship of Kosovo and other related laws. Such an approach will contribute, no matter how little, in facilitating a fairer execution of the Law on Citizenship of Kosovo.

Noise-robust pipe wall-thinning discrimination system using convolution recurrent neural network model

Pipe wall-thinning is a phenomenon whereby the thickness of pipes in a nuclear power plant decreases over time owing to extended operational years. This thickness reduction is caused by various long-term thermal aging mechanisms such as Flow-Accelerated Corrosion, Liquid Droplet Impingement Erosion, cavitation, and flashing. Reducing the thickness of the secondary system pipes to the point of rupture can lead to severe human casualties and significant economic losses. Consequently, domestic power plant operators regularly manage the power plant pipes. Ongoing research focuses on the identification and management of pipe wall-thinning. However, previous studies have encountered problems in accurately judging the decrease in pipe wall-thinning in the presence of noise. To overcome this, Convolutional Neural Network (CNN) models based on image feature analysis have been used. This approach allows for the differentiation of pipe wall-thinning feature from small-sized noise in a single image. However, there were difficulties in making accurate judgments for large-sized noise that resembled the feature of pipe wall-thinning. This paper aims to analyze the limitations of the current pipe wall-thinning evaluation methods and to achieve accurate pipe wall-thinning discrimination through time-series analysis of continuous pipe wall-thinning data. The proposed method employs a Convolutional Recurrent Neural Network (CRNN) model, integrating the Recurrent Neural Network(RNN) model with the CNN model. The image feature of the pipes, extracted using CNN, are utilized as inputs for the RNN. This enables the observation of how the image features of the pipes change over time. This feature differentiates from the time-series feature of noise that occurs suddenly. Through this method, the paper proposes a new approach for effectively identifying the gradual decrease in pipe wall-thinning, enabling precise assessment of pipe wall-thinning progression.

Public Procurement Policies to Foster Innovation Development

Government and public sector demand from the perspective of demand-push policies as a tool of technology and innovation policy have been discussed in detail in the literature. Policymakers have always considered advantages such as promoting local production goals, reducing imports and dependence upon foreign countries, and meeting domestic needs with technology development and innovation. In Iran such policies have been designed and implemented and can be classified into two categories: horizontal and vertical policies. Horizontal policies refer to policy programs that regulate the general government market and the public sector. In vertical policies, however, government demand in a particular product area is regulated. In order to analyze the different types of application of these policies in Iran, several cases of horizontal and vertical policies have been studied and compared in this article. From the horizontal policies, the law of maximum use of domestic power and Foreign Finance Credit have been selected. Among the vertical policies, the policy of 10 basic oil products and the experience of the Iran-Lab-Expo have been examined. Attempts have been made to analyze and compare the above policies based on the general pattern of government programs to stimulate government demand for technology and innovation. Finally, the lessons learned from Iran’s policy experiences in the field of public sector demand orientation as a tool of technology and innovation policy are described.

WhatsApp Based Notification on Low Battery Water Level Using ESP Module and TextMeBOT

Purpose: Nowadays, we can not imagine any day without electricity. In suburban areas, frequent power cuts happen. Most of the time, electricity is unavailable in the village area to balance the demand and available power supply. So we install the power inverter in our house for an uninterrupted power supply. This high-power inverter runs using a wet-cell battery, the widespread domestic power inverter field battery. The only drawback is we need to fill the battery with water when it goes low. It gets damaged if we keep the battery at a low water level for a long time. In our busy schedule, most of the time, we forget to check the battery water level. In most scenarios, the battery is inside the enclosed trolly. Every time, it is not possible to open the trolly and check the water level. Using the IoT technology, we can solve the problem nicely. So here we provide a procedure to get informed through WhatsApp when the battery water level goes down. Methodology: This project uses several electronic components. The heart of the project is the ESP module, a low-cost wifi controller. We operate six infrared(IR) modules for measuring battery water levels. This module is connected to six digital inputs of the ESP module. We use a one-cloud service, TextMeBot, to send the message to WhatsApp. Cloud services are responsible for transmitting the message to the given Whatsapp number. When the system starts, it will establish communication with the internet through a Wi-Fi router using the provided credentials. Once the connection is established, it is ready to send the message. When the water level is below average, it triggers the esp module. It senses the controller and sends the message to the predefined WhatsApp number. Findings/Result: the frequent power cut is the current electricity issue. Due to the heavy electricity demand, sometimes a power cut happens. For the uninterrupted domestic electricity, we install an inverter. The wet cell battery provides good power capacity and low cost. The water, after a couple of months, goes empty. This system protects us from battery damage due to low water levels. We installed it in the practical field, running for years without issues. Originality/Value: We generally check the battery water level by observing the level indicator that comes with the battery by default. We check the water just after certain month intervals. If empty, we fill the water. But in busy life schedules or inaccessible places, we cannot check the water frequently, so the battery generally gets damaged. So, using this system will protect us from severe damage to the battery from low or empty water. So, this system provides value to us. Type of Paper: Experimental-based Research.

Transient States and Timeless Ties: (In)Formality, Power Networks, and the EU Mission in Kosovo

Abstract State-building by external actors can be understood as a practice of intervention in post-conflict spaces characterized by convergences and contestations between different actors striving for power and legitimacy. Informal non-state (armed) groups and clientele networks profit from the contingencies during transition and “capture” emerging formal state institutions to secure private gains and public positions. Order in this newly formed state is established through a dynamic process involving both external actors and domestic power networks. Most of the literature on intervention either focuses on top-down effects of external actors or resistance by local actors, thus falling short of describing the timeless ties of post-war networks and individuals in their day-to-day interaction patterns. How can we then understand the interaction and collusion between post-conflict power networks and external “statebuilders”? We use Bourdieu’s concept of the field to examine the local spaces of interventions and argue that interventions are social and relational practices characterized by day-to-day routines and overlapping, yet co-existing modes of formal and informal interactions. Empirically, we rely on qualitative social network analysis and interviews to visibilize these social practices and collusion between external actors and power networks in Kosovo and its impact on “state-building” efforts by the international community.

Investigation and development of scheduling and networking technologies for small cells based on optical transmission networks

In addition to the power dispatching department, other related departments and management agencies are also interested in power grid data. These developments coincide with an increase in the number of plants and stations, a dramatic increase in the amount of power system data, and an increase in the difficulty of managing and analyzing the data. Thus, a key area of current power information system research is how to analyze and process the massive amounts of grid operation data to guarantee the safe and effective implementation of power production while also being able to support decision-making for power production and power scheduling. In light of this, this paper builds a complete number distribution system on top of the current scheduling program-controlled exchange, hoping to inherit the high reliability and stability of the scheduling switching network. It also introduces the IPoE technology networking and offers a technical foundation for the state management of the equipment. Finally, it uses the optical transmission network scheduling telephone networking technology as its foundation, based on a thorough analysis of the current state of the domestic power dispatching management system. In order to improve the quality of power grid management, it is helpful in the development of an organic and unified integrated intelligent system, the creation of an ideal and seamless information flow, and the eventual realization of the integration and standardization of the production plan, the production process, and the sale of electricity.

The passive safety system of a high-speed multiple-unit train

The designing of modern high-speed multiple-unit trains in Ukraine should be carried out accounting for passive safety systems (PSSs) which include energy absorption devices (EADs). In the cases of trains collisions with obstacles these systems must automatically work to increase the passenger transportation safety, to reduce the risk of injury and death of passengers and service personnel, to minimize rolling stock damage. On the base of European experience in power head passive protection, a three-dimensional geometric model of the domestic power head frontal part with energy absorption devices containing cellular elements was developed. The protective devices for the power head and energy absorption devices installed in inter-car connections were proposed using the experience of development of the EP20 locomotive energy absorption device and results of its prototype crash test. The scientific methodology was developed to evaluation the EAD parameters. Finite-element models for studying the plastic deformation of EAD designs at impact and discrete-mass mathematical models for studying the dynamic loading of reference multiple-unit train vehicles in emergency collisions were developed in accordance with the DSTU EN 15227 requirements. As a research result, the parameters of the EAD designs have been obtained and compliance of the developed passive safety system with regulatory requirements has been proven.

Efficiency evaluation and productivity analysis of complex electric power systems in China: A directional slacks-based network data envelopment analysis approach

The paper introduces a robust methodology for evaluating complex electricity system efficiency, making several contributions. It systematically decomposes the electric power system into various processes, including power generation, transmission, distribution, and power consumption, with parallel sub-processes for production and domestic power consumption. Employing data envelopment analysis (DEA), the paper develops a network directional slacks-based (DSB) model to evaluate the whole system and the internal processes. The model is theoretically proven to be feasible, providing efficiency scores and identifying inefficiencies in the system and its processes. A noteworthy addition is the introduction of the DSB green Luenberger productivity index and its decomposition, offering an analysis of productivity changes in electricity systems. Empirical analysis covering 30 Chinese provinces from 2013 to 2019 uncovers the performance variations among provinces and processes, pointing out inefficiencies and changes in technology and efficiency over time. The empirical findings aim to support efforts in enhancing the overall efficiency of China’s interprovincial power system.

Windfall Profit Taxation in Europe (and Beyond)

In 2022, the European Commission introduced, for the first time in its history, a windfall profit tax to be applied on “excessive” profits realized by qualified businesses operating in the “Oil and Gas” sector. Immediately after its implementation, questions arose as to its sustainability and its consistency with constitutional principles of the different member states regulating the domestic power to tax. To assess the consistency with the aforesaid rules, the article samples two countries, inside and outside the EU (Italy and Australia, respectively), and the historical precedents of the matter. Italy has been chosen due to the particularly stringent set of principles regulating the power of the legislature to tax, and Australia has been chosen because of the long-standing experience with superprofit taxes. In most of the scenarios analyzed, one common feature emerged: the complexity in defining the “Extra” nature of the profits and, consequently, the uncertainties in the calculation of the taxable base. In the case of Italy, for instance, the legislator had to intervene in several different moments to fine-tune the taxable base and restore certainty to the tax system. As a conclusion, while the taxation of extra profits should not per se be disregarded, its implementation demands a more robust and precise legal framework together with the understanding that the introduction of such a levy would be a one-way journey for the tax systems: windfall profits taxes would be here to stay.

Experimental investigation on the performance of a micro-ORC system for different operating conditions

The micro-ORC systems are widely considered a reliable solution for domestic power production from renewable sources. The investigation of the optimal operating conditions to maximize system efficiency is an interesting challenge. In this study, a preliminary experimental campaign has been carried out on a biomass-fired micro-ORC system. The system is designed for stationary applications for domestic users, with a gear pump, a scroll expander and R245fa as the working fluid. The performance characterization of the micro-ORC under steady-state conditions has been obtained varying the water flow rate in the condenser at constant pump and expander speeds. The temperature of the hot source (thermal oil) is the maximum achievable in each operating condition. The temperature at the expander inlet and the condenser and evaporator pressure strongly influence the system performance. The increase in water flow leads to a decrease in the condenser pressure and a reduction of the superheating degree of the organic fluid. The system reaches the maximum electric power output of approximately 2565 W with a water flow rate of about 20 l/min. The highest electrical efficiency increases as the refrigerant flow rate decreases and reaches the highest value of 8.1% for the minimum investigated water flow rate.