Problems of energy security, diversification of energy sources, and improvement of technologies (including alternatives) for obtaining motor fuels have become a priority of science and practice today. Many scientists devote their scientific research to the problems of obtaining effective brands of alternative (reformulated) motor fuels. Our scientific school also deals with the problems of the rational use of traditional and alternative motor fuels.This article focused on advances in motor fuel synthesis using natural, associated, or biogas. Different raw materials are used for GTL technology: biomass, natural and associated petroleum gases. Modern approaches to feed gas purification, development of Gas-to-Liquid-technology based on Fischer–Tropsch synthesis, and liquid hydrocarbon mixture reforming are considered.Biological gas is produced in the process of decomposition of waste (manure, straw, grain, sawdust waste), sludge, and organic household waste by cellulosic anaerobic organisms with the participation of methane fermentation bacteria. When 1 tonne of organic matter decomposes, 250 to 500–600 cubic meters of biogas is produced. Experts of the Bioenergy Association of Ukraine estimate the volume of its production at 7.8 billion cubic meters per year. This is 25% of the total consumption of natural gas in Ukraine. This is a significant raw material potential for obtaining liquid hydrocarbons for components of motor fuels.We believe that the potential for gas-to-liquid synthetic motor fuels is associated with shale and coalfield gases (e.g. mine methane), methane hydrate, and biogas from biomass and household waste gases.
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Data-driven condition-based maintenance (CBM) and predictive maintenance (PdM) strategies have emerged over recent years and aim at minimizing the aviation maintenance costs and environmental impact by the diagnosis and prognosis of aircraft systems. As the use of data and relevant algorithms is essential to AI-based gas turbine diagnostics, there are different technical, operational, and regulatory challenges that need to be tackled in order for the aeronautical industry to be able to exploit their full potential. In this work, the machine learning (ML) method of the generalised additive model (GAM) is used in order to predict the evolution of an aero engine’s exhaust gas temperature (EGT). Three different continuous synthetic data sets developed by NASA are employed, known as New Commercial Modular Aero-Propulsion System Simulation (N-CMAPSS), with increasing complexity in engine deterioration. The results show that the GAM can be predict the evolution of the EGT with high accuracy when using several input features that resemble the types of physical sensors installed in aero gas turbines currently in operation. As the GAM offers good interpretability, this case study is used to discuss the different data attributes a data set needs to have in order to build trust and move towards certifiable models in the future.
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The research paper analyses the ongoing conflict between the residents of the Northern Netherlands and the central government regarding the compensation of damage caused by induced earthquakes and the gas-mining through the theoretical framework explaining relations between the periphery and the centre. The Groningen gas debate is an interesting case, as it shows the potential of change in the established power relationship between the periphery and the centre. the paper analyses the factors that led for this change and explains the change mechanism that is associated with the persuasive power of the local social movement. The paper contributes to the literature on environmental governance, energy transition, communication and political science.
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Introduction: Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serious health problems. A promising method to increase PA is the use of smartphone PA applications. However, despite the development and evaluation of multiple PA apps, it remains unclear how to develop and design engaging and effective PA apps. Furthermore, little is known on ways to harness the potential of artificial intelligence for developing personalized apps. In this paper, we describe the design and development of the Playful data-driven Active Urban Living (PAUL): a personalized PA application.Methods: The two-phased development process of the PAUL apps rests on principles from the behavior change model; the Integrate, Design, Assess, and Share (IDEAS) framework; and the behavioral intervention technology (BIT) model. During the first phase, we explored whether location-specific information on performing PA in the built environment is an enhancement to a PA app. During the second phase, the other modules of the app were developed. To this end, we first build the theoretical foundation for the PAUL intervention by performing a literature study. Next, a focus group study was performed to translate the theoretical foundations and the needs and wishes in a set of user requirements. Since the participants indicated the need for reminders at a for-them-relevant moment, we developed a self-learning module for the timing of the reminders. To initialize this module, a data-mining study was performed with historical running data to determine good situations for running.Results: The results of these studies informed the design of a personalized mobile health (mHealth) application for running, walking, and performing strength exercises. The app is implemented as a set of modules based on the persuasive strategies “monitoring of behavior,” “feedback,” “goal setting,” “reminders,” “rewards,” and “providing instruction.” An architecture was set up consisting of a smartphone app for the user, a back-end server for storage and adaptivity, and a research portal to provide access to the research team.Conclusions: The interdisciplinary research encompassing psychology, human movement sciences, computer science, and artificial intelligence has led to a theoretically and empirically driven leisure time PA application. In the current phase, the feasibility of the PAUL app is being assessed.
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ABSTRACT: Local homebuyers in the Groningen earthquake regionIr. Hieke T. van der KloetHanze University of Applied Sciences GroningenResearch Centre for Built Environment NoorderRuimteh.t.van.der.kloet@pl.hanze.nl0031-50-595-2015The earthquakes after the natural gas extraction in the Groningen region of the Netherlands have a significant impact on the housing market and sustainability of the communities in this region. Since the strongest earthquake around the community of Huizinge in August 2012, with an magnitude of 3.6 on the Richter scale, it became clear there is a relation between natural gas extraction and earthquakes due to soil subsidence. As a consequence houses in the region get damaged and after research it gets obvious housing prices decline and the region will become unattractive to potential buyers of houses, damaged or not. Therefore the Dutch Petroleum Company (NAM) since April 29th 2014 offers a compensation for the loss of the housing price before and after the earthquake of Huizinge to property owners who want to sell their home. They only get the compensation after a sales deal and only if they agree with the proposed compensation. Since the compensation for the decrease in house prices has been introduced, the number of participants of the regulation is lacking behind the actual sales of houses. Our study aims to contribute to the research on the consequences of earthquakes by natural gas mining on the real estate market in the northern part of the Netherlands, especially the Groningen region. First of all we want to declare why relatively a large part of the property owners (about 60% until 2015) don’t request for the compensation regulation. Our second question concerns the buyers of the (damaged) houses in the earthquake area. Why would they buy a home in a region full of risks? Who are these buyers? We use a mixed-method approach for data collection which leads to an analysis of a unique dataset on notarial deeds of house sales in nine municipalities in the Groningen earthquake region according to The Land Registry of the Netherlands during the period 2013 until the end of 2015 as well as discovering common patterns of interview results with residents and experts. First results show that the majority of the homebuyers originate from the local earthquake area in the Province of Groningen. Reasons why property sellers after the house sale don’t opt for the compensation regulation concerns the complexity of the regulation, the used valuation model and the expected long control time afterwards.From the first results we conclude that the Groningen earthquake region still has its attractiveness for local residents and buyers. Otherwise the regulation for compensation doesn’t reach enough property sellers in the nine municipalities of the Groningen earthquake region. Advise to the Dutch government should be to generously compensate the residents of the Groningen earthquake regions for the loss of value of their dwellings, damaged or not. This will help to improve the regional development and attractiveness of areas that are effected by earthquakes.
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The earthquakes after the natural gas extraction in the Groningen region of the Netherlands have a significant impact on the housing market and sustainability of the communities. Since the strongest earthquake around the community of Huizinge in August 2012, with a magnitude of 3.6 on the Richter scale, it became clear there is a relation between natural gas extraction and earthquakes due to soil subsidence. As a consequence houses in the region get damaged and after research it is obvious that housing prices decline and the region might become unattractive to potential buyers of houses. Therefore the Dutch Petroleum Company (NAM) since April 29th 2014 offers a compensation for the loss of the housing price to property owners who want to sell their home. Since the compensation has been introduced, the number of participants of the regulation is lacking behind the actual sales of houses. Our study aims to contribute to the research on the consequences of earthquakes by natural gas mining on the real estate market in the Groningen region. First of all we want to declare why relatively a large part of the property owners (about 60% until 2015) don’t request for the compensation regulation. Our second question concerns the buyers of the (damaged) houses in the earthquake area. Who are these buyers? Why would they buy a home in a region full of risks? We use a mixed-method approach for data collection which leads to an analysis of a unique dataset on notarial deeds of house sales in nine municipalities in the Groningen earthquake region according to The Land Registry of the Netherlands during the period 2013 until 2015 as well as discovering common patterns of interview results with residents and experts.First results show the majority of the homebuyers originate from the local earthquake area in the Province of Groningen. Reasons why property sellers after the house sale don’t opt for the compensation regulation concerns the complexity of the regulation, the used valuation model and the expected long control time afterwards.We conclude the Groningen earthquake region still has it’s attractiveness for local residents and buyers. Otherwise the regulation for compensation doesn’t reach enough property sellers in the Groningen earthquake region. Advise to the Dutch government should be to generously compensate the residents of the Groningen earthquake regions for the loss of the value of their dwellings, damaged or not. This will help to improve the regional development and attractiveness of areas that are effected by earthquakes.
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Presentation.
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Er zijn veel instanties betrokken bij het oplossen van de problemen door de aardbevingen in Groningen. Dit systeem van aanpak is complex en zorgt voor veel belemmeringen. Dat vertellen professionals op verantwoordelijke functies in dit systeem. Zij ervaren ze hun werk als veeleisend en soms ‘gekmakend’. Voor dit onderzoek (in opdracht van de Nationaal Coördinator Groningen (NCG)) zijn 33 professionals geïnterviewd. Behalve bij NCG werken zij onder meer bij ministeries, provincie, gemeenten, Instituut Mijnbouwschade Groningen en Staatstoezicht op de Mijnen. De professionals kregen de vraag voorgelegd wat zij vinden van het functioneren van het systeem waarmee de aardbevingsproblematiek wordt aangepakt.
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The textiles and apparel industry is a major contributor to economic development while at the same time being one of the most polluting industries due to its lengthy supply chain and resource intensive production operations. To address these sustainability challenges, digitalization is seen as one of the potential solutions. Using the lens of sustainability and digitalization in Supply Chain Management (SCM), this paper analyses the sustainability and digitalization status of Dutch textile and apparel firms. We used a mixed methodology of quantitative text mining of 94 Dutch textile and apparel firms as well as qualitative thematic and coding analysis of experts’ views and opinions on sustainability and digitalization in the Dutch textiles and apparel industry. Quantitative analysis of website data shows that Dutch textile and apparel firms predominantly communicate the environmental, to a lesser extent social, and least of all economic sustainability factors. Keyword analysis also shows that the use of technological keyword indicators is less prominent, while certain technologies such as IoT, sensors and blockchain correlate mostly to environmental sustainability factors. Moreover, qualitative analysis reveals that to address sustainability via digitalization, it is important to link sustainability goals to Key Performance Indicators, which requires data for traceability. We recommend firms to: (1) re-evaluate their business models and assess the extent traceability can be incorporated in their sustainability strategy; (2) enhance stakeholder collaboration within and outside the supply chain to utilize traceability; and (3) proactively use traceability information to improve transparency and accountability to meet legal requirements and address greenwashing. This study contributes to literature by showing the importance of traceability for (a) linking sustainability and digitalization in SCM, b) achieving the ultimate goals of transparency and accountability, and c) predicting demand and supply to address overproduction and waste in the textiles and apparel sector.
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Airport management is frequently faced with a problem of assigning flights to available stands and parking positions in the most economical way that would comply with airline policies and suffer minimum changes due to any operational disruptions. This work presents a novel approach to the most common airport problem – efficient stand assignment. The described algorithm combines benefits of data-mining and metaheuristic approaches and generates qualitative solutions, aware of delay trends and airport performance perturbations. The presented work provides promising solutions from the starting moments of computation, in addition, it delivers to the airport stakeholders delay-aware stand assignment, and facilitates the estimation of risk and consequences of any operational disruptions on the slot adherence.
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