Operation Technology Research Articles

Energy consumption analysis of trains based on multi-mode virtual coupling operation control strategies

Urban rail transit, as a main mode of travel, has always been concerned with the balanced relationship between energy consumption and transport efficiency. The advent of the virtually coupled train set (VCTS) has significantly enhanced the efficiency of existing railway lines. Both energy consumption and comfort during the operation of VCTS control technology have emerged as significant challenges for the development of VCTS since the inception of onsite testing. A review of the current research status of VCTS control systems has revealed that the majority of current formation control systems are focused on the safe operation of formation trains, the stability of train control systems, and safe train separation models. However, a case study has shown there is a strong correlation between train operating intervals, train control strategies, and train operating energy consumption. Therefore, it is necessary to design and plan the operation modes of formation trains for different train operation requirements. This paper presents four distinct control modes, developed through the integration of the most prevalent VCTS control strategies, operational modes, and operational requirements. The design of these control modes is guided by considerations of energy consumption, safety, and comfort during train operation. A case study of Beijing Subway Line 11 revealed a significant correlation between energy consumption, control mode, and safety under different control modes. In particular, the correlation between train running intervals and energy consumption in a high-precision tracking state provides valuable technical support for the future operation of VCTS technology in different periods, scenarios, and environments.

THE ART OF DESIGN, OPERATION AND IMPROVEMENT OF TECHNOLOGIES, RECIPES, SAFETY AND QUALITY OF FEEDS. IX -th session of the International School of Feeds

From July 1 to 6, 2024, with the support of the European Federation of Feed Manufacturers, the European Federation of Food Science and Technology, the Association "Union of Feed Manufacturers of Ukraine", Odesa National University of Technological (ONTU), ProAgro Group of Companies and the "Club of Young Scientists" ONUT held the IX -th session of the International School of Feeds "THE ART OF DESIGN, OPERATION AND IMPROVEMENT OF TECHNOLOGIES, RECIPES, SAFETY AND QUALITY OF FEEDS". Despite martial law, air alarms, blackouts and other obstacles, the session took place, and it was successful. The session was attended by scientists and specialists in the field of compound feed production, 3 scientific and project organizations: Interprojekt Gmbh, LLC "S-engineering", GK "Zernova stolitsia", 17 representatives from 8 compound feed enterprises: PrJSC MZVKK, Katerynopilsky elevator, AGROPROGRESS PLUS GRAIN COMPANY, VitagroNutryshyn, Kombifeed, MEGA KORM LLC, Kramar LLC, AGRICON Group, as well as Technik BG Gmbh, JSC ADM Illichivsk, LLC Sok-Trade. The session discussed trends in design, increasing the efficiency of operation and robotization of feed production, features of providing nutrients and biologically active substances, production of feed and regulation of their productive action, trainings in modern scientific laboratories of ONUT.

Addressing challenges for operating electrochemical solar fuels technologies under variable and diurnal conditions

The outdoor operation of electrochemical solar fuels devices must contend with challenges presented by the cycles of solar irradiance, temperature, and other meteorological factors. Herein, we discuss challenges associated with these fluctuations presented over three timescales, including the effects of diurnal cycling over the course of many days, a single diurnal cycle over the course of hours, and meteorological phenomena that cause fluctuations on the order of seconds to minutes. We also highlight both reaction-independent and reaction-specific effects of variable conditions for the hydrogen evolution reaction and CO2 reduction reaction. We identify key areas of research for advancing the outdoor operation of solar fuels technology and highlight the need for metrics and benchmarks to enable the comparison of diurnal studies across systems and geographical locations.

Cutting speed and behaviors of ice using Yb-doped fiber laser

The use of a laser to cut or drill ice has been proposed and demonstrated multiple times in previous decades as a novel, but never adopted, machining tool in glaciology and paleoclimate studies. However, with the rapid development of high power fiber-laser technology over the past few decades, it is timely to perform further studies using this new tool. An investigation is made herein on the cutting of ice using a Yb-doped fiber laser emitting at a wavelength of 1070 nm, the most extensively developed and highest power fiber laser technology, in pulsed and continuous-wave operation. Visible-light observations of clear tap water ice samples, moving at a constant velocity relative to a pulsed laser beam, demonstrate a linear relationship between the duration of a millisecond-range laser pulse and the depth of the meltwater-free cut formed in response. Thermal imaging of the irradiated face shows that peripheral heating trends linearly for pulse lengths greater than 5 ms. A comparison of pulse trains with a constant time-averaged power suggests that shorter pulses are advantageous in slot-cutting efficiency and in minimizing visible alterations in the surrounding ice. These results demonstrate the viability of powerful fiber-compatible lasers as a tool for ice sample retrieval and processing.

Technological advances in high mountains: Development of an augmented reality and IoT Application for snow cover monitoring on Huascaran, Peru

Climate change has had a negative impact on Andean glaciers, especially on the snow-capped Huascaran in Peru, which has experienced a loss of 42 % of its glacier mass. Lack of access to accurate snowpack data complicates understanding and informed decision-making in mountainous environments. To address this problem, an application has been developed based on an AR-IoT architecture that integrates augmented reality (AR) and the Internet of Things (IoT) for the periodic monitoring of snow cover on the Huascaran snow-capped mountain. This application uses data collected from meteorological repositories and simulates IoT interactions, while a mobile app offers an interactive and understandable visualization of the data. The Scrum methodology was applied iteratively, from the creation of the 3D model to the connection with the Ubidots platform to store and share the data. The analysis of 58 readings, obtained between April and May 2023, showed correlations between variables such as snow depth, temperature, and wind speed, which served to validate the operation of the AR-IoT technology implemented. These variables offer an initial understanding of atmospheric conditions in high mountains. In addition, the technology developed has the potential to expand to include more relevant data in future analyses. The tool demonstrates the effectiveness of combining these technologies for monitoring high mountain snow cover and making informed decisions about water resources management.

Exploring resource recovery from diverted organics: Life cycle assessment comparison of options for managing the organic fraction of municipal solid waste

Diversion of the organic fraction of municipal solid waste (OFMSW) from landfills is increasing. Previous life cycle assessment studies have evaluated subsets of OFMSW management options, but conclusions are inconsistent, and none have evaluated diverse applications of material by-products. The primary objective of this work was to identify sustainability-based improvements to the selection, design, implementation, and operation of organics waste diversion management technologies. Process modeling and life cycle assessment were used to compare OFMSW composting, anaerobic digestion, and pyrolysis, with biochar used as a landfill cover, leachate treatment sorbent, and land applicant. Material and energy flows, calculated by newly developed models for the defined functional unit (1 kg MSW over a 20-year timeframe), were translated to environmental performance using ecoinvent and USLCI databases and TRACI method. Additionally, uncertainty, sensitivity, and scenario analyses were conducted to evaluate the implications of model uncertainties, design decisions, and resource recovery tradeoffs. OFMSW pyrolysis usually (65 % of uncertainty assessment simulations) had the best global warming performance mostly due to energy recovery and biochar's carbon sequestration benefit, which was independent of fate. Pyrolyzing the biosolids from OFMSW anaerobic digestion recovered the most energy and had the best performance in 34 % of uncertainty simulations. Material recovery amounts were large (e.g., more biochar was produced than required for novel uses) and warrant feasibility considerations. Global warming performance was more sensitive to uncertainty in carbon sequestration and primary energy production than in fertilizer offset, energy conversion, or heat offset approach. Practical implications include the potential for biochar supply to outweigh demand, and inconsistent revenue from the sale of recovered energy and carbon credits; future research could focus on evaluating the relative social and economic sustainability of the OFMSW management technologies.

Connecting the Dots: Bridging Innovation Management and Technology Transfer Through ISO 56002

This paper highlights the significance of centralising innovation within organisations to gain a competitive edge in a rapidly changing world. It emphasises the pivotal role of ISO 56002, a standardised innovation management system, in fostering innovation capacity through diffusion, certification and development. By establishing innovation standards, organisations can consistently generate successful innovations, leveraging their resources and knowledge capital. However, technology transfer faces trust and inter-organisational cooperation barriers. ISO 56002 provides comprehensive guidelines to overcome these challenges and bridge standardisation and innovation perspectives. The proposed framework integrates technology transfer with the ISO 56002 system, consisting of five phases: engagement in innovation processes, certification of technology transferors, overcoming barriers, technology transfer agreements and analysing effectiveness. ISO 56002 facilitates collaboration, resource allocation, strategic planning and adopts a customer-centric approach. This framework fills a literature gap, offering organisations a competitive advantage in technology transfer. The study explores the relationship between ISO 56002 guidelines and technology transfer, emphasising collaboration, leadership, planning, support, operation, performance evaluation and improvement. ISO 56002 aligns with various aspects of technology transfer, emphasising sustainability, connectivity and competitiveness. Implementing ISO 56002 drives organisational growth and successful technology transfer.

Development of a local wall concentration model for the design of single pass tangential flow filtration (SPTFF) systems with viral vector surrogates

Recent advances in the use of viral vectors for gene therapy has created a need for efficient downstream processing of these novel therapeutics. Single-pass tangential flow filtration (SPTFF) can potentially improve final product quality via reductions in shear, and it can increase manufacturing productivity via simple implementation into continuous/intensified processes. This study investigated the impact of variations in pressure and flow rate along the length of the membrane on overall SPTFF performance. Constant-flux filtration experiments at feed fluxes from 14 to 420 L/m2/h (Reynolds numbers <20) were performed using Pellicon® 3 TFF cassettes with fluorescent nanoparticles as model viral vectors. The location of nanoparticle accumulation shifted towards the filter outlet at high conversion and was also a function of the permeate flow configuration. These phenomena were explained using a newly developed concentration polarization model that predicts the distribution in local wall concentration over the length of the membrane. The model accurately captured the observed nanoparticle accumulation trends, including the effects of the permeate flow profile (co-current, divergent, or convergent flow) on nanoparticle accumulation within the SPTFF module. Nanoparticle accumulation at moderate conversion was more uniform using convergent flow, but nanoparticle accumulation at 80 % conversion (5x concentration factor) can be minimized using a divergent flow configuration. The local wall concentration model was also used to evaluate the critical flux by assuming that fouling occurs when the nanoparticle concentration at any point along the membrane surface exceeds 15 % by volume. These results provide important insights for the design and operation of SPTFF technology for inline concentration of viral vectors.

A method for quality fault diagnosis based on Bayesian network D-cut set

Abstract Quality issues are important factors restricting the development of hydrogen fuel cells. Quality problems in hydrogen fuel cells may stem from various stages, including technology, preparation processes, equipment used, usage environment, and personnel operation. Moreover, different problems are coupled with each other, resulting in the characteristics of one cause with multiple effects and multiple causes with one effect in the quality issues of hydrogen fuel cells. However, there are often similarities between these qualities in high-level information, such as mechanism, object, and behaviour, which are reflected in the similarity of network models in Bayesian diagnostic networks. Therefore, this article discusses how to reuse the Bayesian diagnosis network of previous quality problem cases to construct a Bayesian diagnosis network for hydrogen fuel cell quality problem diagnosis, thereby effectively improving the diagnosis efficiency of hydrogen fuel cell quality problems.

Intraoperative teamwork and occupational stress during robot-assisted surgery: An observational study

Robot-assisted surgery (RAS) differs from traditional OR set-ups in several ways such as operation of technology and obstructed team communication that potentially affect surgical staff's stress experiences. The current study investigates the effects of key intraoperative job demands and resources on mental workload and perceived stress in RAS. We focused on the role of intraoperative teamwork as a resource that potentially reduces occupational stress. Combining standardized expert observations in the OR with healthcare providers' self-reports, the study involved two types of robot-assisted, urological interventions. The sample consisted of 73 observed surgeries and included 242 post-operative surveys on perceived stress and mental workload from surgeons and surgical nurses. Multilevel regression analyses reveal differential effects for stress and workload. Importantly, whereas better surgical teamwork was associated with lower stress, it was unrelated to workload. Our findings provide a nuanced picture of occupational stress in RAS, particularly regarding the role of intraoperative teamwork.

International English Teaching Planning and Evaluation of Renewable Energy Application Projects from Perspective of Sustainability

The application of renewable energy has positively contributed to the Eco-city by alleviating energy tension, improving energy structure, enhancing energy utilization efficiency, and building a resource-saving and environment-friendly society. At the same time, several demonstration projects with advanced and applicable technology, stable and reliable operation, and high promotion value have been completed, and a relatively complete system of regulations, policies, technical standards, application modes, and capacity building for the application of renewable energy buildings has been initially formed. This study analyzes the current global demand for renewable energy and education status quo and proposes a set of teaching programs combined with practical applications. In response to the needs, a comprehensive framework integrating theoretical teaching, hands-on practice, rigorous program evaluation, and dynamic feedback loops is designed to cultivate students' global perspectives and emphasize the importance of cross-cultural dialogue and international cooperation. The implementation results showed a significant improvement in the students' understanding of renewable energy, with a 40% improvement at the end of the class. As a result of the IEP implementation, 85% of the students targeting the Renewable Energy Applications Program have achieved the expected teaching objectives in terms of energy and environmental policy comprehension, renewable energy technology mastery, and intercultural communication skills, which is a 30% improvement from the pre-implementation period. In addition, there has been a significant increase in international exchanges between students, contributing to creating a more holistic approach to sustainable development.

Transitioning practices of water utilities from reactive to proactive: Leveraging Australian best practices in digital technologies and data analytics

Developments in technology and data analytics bring opportunities for water utilities to proactively adapt their practices to better manage pressing challenges, such as water losses, ageing assets, and urban water scarcity due to climate change. Despite the increase in commercial digital technologies for monitoring urban water, wastewater and stormwater systems, digital transformation in water utilities has been occurring much slower than in other businesses (e.g., the energy sector). Leveraging from Australian best practices, this study aims to facilitate water utility’s digital transformation by establishing a targeted research agenda and a continuous improvement process for the successful implementation, operation, and improvement of smart water technologies. Four case studies on 1) automated and digital water consumption metering, 2) early warning of water mains breaks, 3) early detection of sewerage blockages and spills, and 4) smart rainfall reuse and flood mitigation are used to exemplify the potential benefits and hurdles of adopting digital technologies in water utilities, while highlighting pressing areas needing further research and development. Key research areas identified include: 1) development frameworks to map water utilities capacity and needs for ranking priority areas of investment, 2) improvements in sensor hardware, 3) integration of big, multi-sourced data and cybersecurity, 4) increase in generality of smart data applications for various field conditions (i.e., reduce the need for or level of customization), and 5) data-informed proactive asset management and water pricing. Key barriers to be overcome include 1) lack of internal capacity to develop, operate and integrate smart applications, 2) the risk conservative culture of water utilities when facing innovation, and 3) lack of operation standards among water utilities to promote benchmarking. It is imperative that water utilities actively drive the digital transformation process by perpetuating collaborations with research centres and the private sector, while simultaneously increasing in-house capacity through investments in skilled personnel and training.

Investigation on the effect of operation of solar dryer technology according to the drying characteristic of dried product

The application of solar dryer through greenhouse (GH) model as drying method for crops-based product is extremely important in industrial scale agriculture, especially in developed country. The drying model is considered environmentally friendly since it utilizes solar power as the main drying energy. However, the fundamental operational aspect of the basic GH is less discussed according to the drying mechanism of the dried product. In this work, three small-scale drying model are evaluated: open drying (OD), natural convection GH (NCGH), and forced convection GH (FCGH). The drying product is potato, which can be taken as an essential agricultural product in modern world. The OD model has the lowest mass loss rate which less than 50 % of the water from product can be evaporated. The operation of both GH is satisfactory, resulting more than 60 % moisture evaporation. The drying characteristic indicates the two-step failing rate which makes the mass loss fluctuation from the process. The highest mass loss is observed during the constant rate period around 21 % for FCGH and 18 % for NCGH. In addition, the detailed analysis on the effect of each process is discussed in this work. For example, the presence of hair-like structure and the movement of the pith of dried potato during the process. Also, a higher drying rate from NCGH and FCGH initiate the gelatinization and compartmentalization, resulting a substantial water evaporation of the product. It confirms the important correlation of the drying process and water diffusion mechanism of the dried product. The finding from this study can be taken as a vital reference for improving the operation of GH solar dryer

Research on Load Decomposition and Optimization of Intelligent Elderly Care Service Based on Heuristic and Event Detection Algorithm

Against the backdrop of the digital age, the openness, equality and interaction of the Internet economy have injected new vitality into China’s traditional industries. The application of big data technology, especially in information integration and analysis, has become a key force in promoting the sustainable and healthy development of the national economy. This study focuses on the “Internet +” environment, discusses the impact of the aging problem of community workers on home care services, and proposes an optimization scheme based on a heuristic algorithm. The heuristic algorithm, inspired by the foraging behavior of ants in nature, optimizes the route selection problem by simulating an ant colony to choose the path with a high concentration of pheromones and shows outstanding application potential in the field of home care. The accuracy of the event detection algorithm is directly related to the performance of the load decomposition algorithm, and the change point detection algorithm can effectively identify the change point of the probability distribution in the time series data, which provides important input data for unsupervised clustering. Advanced computer theory, including the Hidden Markov model (HMM) and swarm intelligence optimization algorithm, is used in this research. By comparing different swarm intelligence algorithms, we find that the standard Gray Wolf optimization (SGWO) model is better than the basic Gray Wolf optimization (BGWO) algorithm and the improved Gray Wolf optimization (DGWO) algorithm in terms of stability and output results. The SGWO model significantly improves the efficiency of the load decomposition algorithm, which has been verified in the application of the smart elderly care service platform. The platform not only supports the operation of related technologies and information products but also realizes the seamless integration of information among various subjects of elderly care services. In addition, the factor hidden in the Markov model that can be selectively activated effectively monitors equipment status in the Internet of Things environment, provides real-time monitoring of user consumption behavior and fault information and further enhances the quality and efficiency of smart elderly care services.

Reflections on Lithium-Ion Cells. Genesis of the Problem and Theoretical Introduction

Aim: This article presents an identification and analysis of the hazards associated with the operation of lithium-ion technology, the range of applications, an overview of hazardous incidents domestically and also internationally, the brief history of lithium-ion batteries, as well as recommendations on the use and storage of batteries published not only by domestic but also foreign fire and occupational safety organizations. Introduction: The increased mobility of people doing their work with computers has created the need to produce portable devices that require concentrating as much energy as possible in a limited enclosure volume. These devices accompany the user in everyday life, during travel and also in a variety of work. In order to meet these criteria, it was necessary to solve these problems, first of all, the problem of power supply, which would allow to use the electricity stored by them in a long-lasting but also very efficient way. However, modern solutions bring a number of new risks that are not obvious at first glance and require detailed analysis. Project and methods: Based on a critical analysis of the literature, the authors presented the advantages and disadvantages of cells used in smartphones, laptops, portable power tools used in households across the globe and even electric cars. The development of lithium-ion battery technology and the expansion of their range of applications makes it necessary to develop solutions to enhance safety during their use, together with procedures to prevent possible explosions and fires, allowing effective life and health protection of users, as well as safeguarding all property and the environment. Methodology: Opierając się na krytycznej analizie literatury, autorzy przedstawili zalety i wady ogniw wykorzystywanych w smartfonach, laptopach, przenośnych elektronarzędziach, a nawet samochodach elektrycznych. Rozwój technologii produkcji akumulatorów litowo-jonowych oraz rozszerzenie zakresu ich zastosowania sprawia, że konieczne jest opracowanie rozwiązań zwiększających bezpieczeństwo podczas ich użytkowania oraz procedur zapobiegania ewentualnym wybuchom i pożarom, pozwalających na skuteczną ochronę życia oraz zdrowia użytkowników, a także zabezpieczenie wszelkiego mienia i środowiska. Conclusions: In order to prevent fires spreading, it is necessary to understand the mechanisms that lead to ignition and possible explosions of cells and batteries. From the point of view of preventing such failures and fires, it is important to recognize the response of burning batteries to various types of fire extinguishing agents and preventive measures. Continued research in this area can contribute to the evolution of more sophisticated and advanced safety technologies and the development of regulatory standards that in the future will guarantee the effective control of lithium-ion battery fires directly linked to their storage, use at high quantities, and the correct storage of waste (in the form of damaged and depleted batteries). Keywords: lithium-ion batteries, fire hazard, environmental protection, environmental pollution, toxic products of combustion

INTEGRATING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN FOREIGN LANGUAGE HIGHER EDUCATION: FROM DIGITALIZATION TO AUTOMATION

The article is a synthesis of a series of studies conducted over the last 10 years at the Faculty of Foreign Languages and Area Studies of Lomonosov Moscow State University and is devoted to the current topic of digital technologies application in linguodidactics. The paper provides an analysis of legal acts regulating the development of artificial intelligence technologies in the Russian Federation in all spheres of activity, including education, national standards that apply to the field of education and establish general provisions and terminology in the field of the use of artificial intelligence technologies in education, a description of the basic principles of the operation of generative artificial intelligence technologies, an analysis of the formats of tasks for the introduction of mobile, electronic and generative tools, including those based on neural networks, into General English courses. The main results of the study are the identification of new task formats based on artificial intelligence technologies, as well as the need to form provisions for updating the regulatory framework for the introduction of artificial intelligence technologies in foreign language higher education.

The influence mechanism analysis on the farmers’ intention to adopt Internet of Things based on UTAUT-TOE model

Internet of Things (IoT) technologies are widely recognized as one of the most important infrastructures for economic development and technological innovation. By analyzing the influencing factors of vegetable farmers’ intention to adopt agricultural IoT, it helps to formulate effective IoT promotion policies and accelerate the realization of agricultural modernization. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology-Organization-Environment (TOE) theory, this study constructed for the first time a mechanism model of the influence of vegetable farmers’ intention to adopt IoT, expanding the scope of current research on agricultural IoT and revealing the intrinsic influence mechanism of farmers’ adoption of IoT technologies. In this study, 357 quantitative data were obtained by a questionnaire survey, and structural equation modeling was used to test the direct and indirect effects of each factor on vegetable farmers’ intention to adopt IoT. The results show that almost all variables in TOE have significant direct impacts on the intention, while no variables in UTAUT have significant direct impacts. Among variables in TOE, government support and complexity are the two most important elements influencing the intention. Although the interactions among variables in TOE and UTAUT are also found, the indirect effects of variables are non-significant. Therefore, it is proposed to reduce the complexity of operation and use of IoT technologies; improve rural information infrastructure and compatibility of IoT platforms and devices; and governments should increase subsidies, and incentives to promote the use of IoT in agriculture and agricultural practices.

Simulation and analysis of optimal energy-saving mode in microfield of underground rail transit

Underground rail transit has become one of the most popular transportation modes because of its advantages such as fast running speed, large passenger flow and punctuality. This mode of transportation can alleviate urban traffic congestion to a certain extent, so underground rail transit has been vigorously developed, and the number of rail lines has increased exponentially. However, with the continuous development of underground rail transit, the energy consumption of train operation is also increasing, resulting in a waste of energy. To solve this problem, this paper proposes to improve the energy-saving technology of train operation by using train autopilot control strategy. Firstly, a train operation optimization model considering train position and speed limit is established by using automatic train driving strategy, and the nonlinear problem of the optimization model is solved by genetic algorithm. The micro-field theory is introduced into the control strategy of automatic train driving, and the energy-saving model of underground rail transit is established. The energy consumption is optimized from three aspects: train energy-saving technology, line planning and overall operation planning of rail transit. The simulation results show that the average impact rate and energy consumption of trains under the proposed energy-saving model are significantly reduced compared with the other two groups of trains, and the average impact rate and energy consumption are significantly reduced compared with the other two groups of trains. The running time and energy consumption of the energy-saving model are lower than those of the experimental group. To sum up, the energy-saving model of underground rail transit proposed in this paper not only reduces the operating energy consumption, but also improves the passenger comfort, which can provide low-cost energy-saving technology for underground transportation field, and has positive significance for urban low-carbon development.

Субъект административной ответственности за совершение правонарушения в сфере эксплуатации транспортного средства с элементами искусственного интеллекта: дискуссионные аспекты

The paper explores some of the discussion points regarding the determination of the subject of administrative liability for committing offenses in the field of artificial intelligence-equipped vehicle operation. It is noted that legal regulation in the field of transportation safety, taking into account the emergence of electric vehicles, is actively evolving. However, the regulation of administrative liability for offenses in the field of vehicle operation with elements of artificial intelligence has not yet been reflected in current legislation. Based on the analysis conducted, the author draws several conclusions. Particularly, it is determined that there is a pressing need for regulating public relations considering the use of technologies with elements of artificial intelligence, especially in public legal relations, including administrative and criminal law. Presently, there are no specific provisions in modern administrative law dedicated to formulating offenses with regard to the use (operation) of technologies, including vehicles with elements of artificial intelligence. However, the author believes that this gap will be addressed by the legislator in the near future. Analysis of scientific literature led to the conclusion that the subject of administrative liability in this field should be differentiated based on the future composition of administrative offenses proposed by the legislator, as well as depending on the factual circumstances.

A comparative analysis of the economic feasibility of reversible hydrogen systems based on time-resolved operation optimisation

The expansion of fluctuating renewable energy production, such as wind and PV, increases the mismatch to consumption. Power-to-Hydrogen-to-Power (PtHtP) systems are believed to be a key for balancing under and overproductions. PtHtP systems can provide temporal and spatial flexibilities and among them reversible solid oxide cells (rSOC) are a promising technology. They combine production of hydrogen and power in the same electrochemical stack. This generates a financial and environmental benefit since less resources are necessary for enabling both Power-to-Hydrogen and Hydrogen-to-Power. This work investigates the application of rSOC systems in comparison to reversible PEM systems consisting of electrolysis and fuel cell unit. In the present studies time-resolved optimization is employed for simulation of the optimal operation of the PtHtP technologies in different market price conditions for electricity, hydrogen and natural gas and with coupling to industry and district heat. Both systems have a zone of market prices, that allows for a positive economic performance over lifetime. The electricity‑hydrogen price difference in this zone is in the range from −83 €/MWh to 133 €/MWh depending on the scenario. Furthermore, the electricity price fluctuations are found to have the major impact on the profitability. By studying the influence of gas grid fees, one finds that local compressed hydrogen storages can be used only for very short storage timescales up to a few hours. Finally, the derivation of application conditions, that are suitable for the two different spatial kinds of reversible hydrogen systems – spatially concentrated and delocalized and the two technologies – rSOC and PEM, is made.