bluuebunny/crossref_metadata_2025_split huggingface dataset:
Animal Difference in the Age of the Selfsame
Authors: Kowalsky Nathan 
Published: April 2021

AbstractIn this chapter, I argue that mainstream animal-centered (i.e., “humane”) ethics and critical animal studies attempt to account for nonhuman moral considerability in terms of those animals’ similarities with human animals. I argue that this emphasis on similarity is a reason why these two fields are generally anti-naturalistic and ultimately (though ironically) anthropocentric. Moreover, on the assumption of a general Levinasian ethic of alterity, this anti-naturalism and anthropocentrism is violently immoral. I propose, therefore, an ethic of animal difference based on an ethically naturalistic reading of intra- and inter-specific behavior sets. However, such naturalism is problematic if the Anthropocene is understood to be a naturalized fact which undermines all (metaphysical or normative) claims to naturalness or wildness. In response, I argue that the Anthropocene is not a naturalized fact but a socially-contingent and constructed fact, and as such is open to moral evaluation. My proposed ethic of animal difference offers one such critique, and one more effective than those found in mainstream humane ethics or critical animal studies.
Should the Lion Eat Straw Like the Ox? Animal Ethics and the Predation Problem
Authors: Keulartz Jozef 
Published: April 2021

AbstractStephen Clark’s article The Rights of Wild Things from 1979 was the starting point for the consideration in the animal ethics literature of the so-called ‘predation problem’. Clark examines the response of David George Ritchie to Henry Stephens Salt, the first writer who has argued explicitly in favor of animal rights. Ritchie attempts to demonstrate—via reductio ad absurdum—that animals cannot have rights, because granting them rights would oblige us to protect prey animals against predators that wrongly violate their rights. This article navigates the reader through the debate sparked off by Clarke’s article, with as final destination what I consider to be the best way to deal with the predation problem. I will successively discuss arguments against the predation reductio from Singer’s utilitarian approach, Regan’s deontological approach, Nussbaum’s capability approach, and Donaldson and Kymlicka’s political theory of animal rights.
Humanity in the Living, the Living in Humans
Authors: Korthals Michiel 
Published: April 2021

AbstractRecent studies in biology, ecology, and medicine make it clear that relationships between living organisms are complex and comprise different forms of collaboration and communication in particular in getting food. It turns even out that relations of collaboration and valuing are more important than those of aggression and predation. I will outline the ways organisms select and value specific items in their network of living and non-living entities. No organism eats everything; all organisms prefer certain foods, companions, and habitats. Relations between organisms are established on the basis of communication, exchange of signs, actions and goods, through mutual learning processes on all levels of life. Micro, meso and macro organisms participate in this process of valuing and communication. Animals and plants therefore show features that were traditionally attributed only to humans, like selfless assistance. The usual distinction between humans and other living beings on the basis of human’s sensitivity for altruism, language and values crumbles down due to the circumstance that also non-human living beings are prone to selfless assistance, communication and valuing.
Solute Driven Transient Convection in Layered Porous Media
Authors: Luther Emmanuel E. , Shariatipour Seyed M. , Dallaston Michael C. , Holtzman Ran 
Published: April 2021

AbstractCO2 geological sequestration has been proposed as a climate change mitigation strategy that can contribute towards meeting the Paris Agreement. A key process on which successful injection of CO2 into deep saline aquifer relies on is the dissolution of CO2 in brine. CO2 dissolution improves storage security and reduces risk of leakage by (i) removing the CO2 from a highly mobile fluid phase and (ii) triggering gravity-induced convective instability which accelerates the downward migration of dissolved CO2. Our understanding of CO2 density-driven convection in geologic media is limited. Studies on transient convective instability are mostly in homogeneous systems or in systems with heterogeneity in the form of random permeability distribution or dispersed impermeable barriers. However, layering which exist naturally in sedimentary geological formations has not received much research attention on transient convection. Therefore, we investigate the role of layering on the onset time of convective instability and on the flow pattern beyond the onset time during CO2 storage. We find that while layering has no significant effect on the onset time, it has an impact on the CO2 flux. Our findings suggest that detailed reservoir characterisation is required to forecast the ability of a formation to sequester CO2.
GB Grid 9 August 2019 Power Outage and Grid Inertia
Authors: Cooke Christian 
Published: April 2021

AbstractA power outage on 9 August 2019 raised questions about the ability of the GB electricity grid to withstand rapid changes in frequency caused by outages and surges on the network. Grid inertia has been changing in recent years due to the emergence of renewable energy generation as a significant contributor to the energy mix. Measures to mitigate this change need to be evaluated and the level of investment required to prevent a reoccurrence of such an event quantified. An outline is presented of a research programme towards this goal.
Analytical Model for Compressed Air System Analysis
Authors: Thabet Mohamad , Sanders David , Becerra Victor 
Published: April 2021

AbstractThis paper presents a simple analytical model for a compressed air system (CAS) supply side. The supply side contains components responsible for production, treatment and storage of compressed air such as a compressor, cooler and a storage tank. Simulation of system performance with different storage tank size and system pressure set-point were performed. Results showed that a properly sized tank volume reduces energy consumption while maintaining good system pressure stability. Moreover, results also showed that reducing system pressure reduced energy consumption, however a more detailed model that considers end-user equipment is required to study effect of pressure set-point on energy consumption. Future work will focus on developing a supply-demand side coupled model and on utilizing model in developing new control strategies for improved energy performance.
Design Improvement of Water-Cooled Data Centres Using Computational Fluid Dynamics
Authors: Sethuramalingam Ramamoorthy , Asthana Abhishek 
Published: April 2021

AbstractData centres are complex energy demanding environments. The number of data centres and thereby their energy consumption around the world is growing at a rapid rate. Cooling the servers in the form of air conditioning forms a major part of the total energy consumption in data centres and thus there is an urgent need to develop alternative energy efficient cooling technologies. Liquid cooling systems are one such solution which are in their early developmental stage. In this article, the use of Computational Fluid Dynamics (CFD) to further improve the design of liquid-cooled systems is discussed by predicting temperature distribution and heat exchanger performance. A typical 40 kW rack cabinet with rear door fans and an intermediate air–liquid heat exchanger is used in the CFD simulations. Steady state Reynolds-Averaged Navier–Stokes modelling approach with the RNG K-epsilon turbulence model and the Radiator boundary conditions were used in the simulations. Results predict that heat exchanger effectiveness and uniform airflow across the cabinet are key factors to achieve efficient cooling and to avoid hot spots. The fundamental advantages and limitations of CFD modelling in liquid-cooled data centre racks were also discussed. In additional, emerging technologies for data centre cooling have also been discussed.
Integration of Catalytic Biofuel Production and Anaerobic Digestion for Biogas Production
Authors: Hurst G. , Peeters M. , Tedesco S. 
Published: April 2021

AbstractThe drive towards a low carbon economy will lead to an increase in new lignocellulosic biorefinery activities. Integration of biorefinery waste products into established bioenergy technologies could lead to synergies for increased bioenergy production. In this study, we show that solid residue from the acid hydrolysis production of levulinic acid, has hydrochar properties and can be utilised as an Anaerobic Digestion (AD) supplement. The addition of 6 g/L solid residue to the AD of ammonia inhibited chicken manure improved methane yields by +14.1%. The co-digestion of biorefinery waste solids and manures could be a promising solution for improving biogas production from animal manures, sustainable waste management method and possible form of carbon sequestration.
Low-Speed Aerodynamic Analysis Using Four Different Turbulent Models of Solver of a Wind Turbine Shroud
Authors: Ngouani M. M. Siewe , Chen Yong Kang , Day R. , David-West O. 
Published: April 2021

AbstractThis study presents the effect of four different turbulent models of solver on the aerodynamic analysis of a shroud at wind speed below 6 m/s. The converting shroud uses a combination of a cylindrical case and an inverted circular wing base which captures the wind from a 360° direction. The CFD models used are: the SST (Menter) k-ω model, the Reynolds Stress Transport (RST) model, the Improved Delay Detached Eddies Simulation model (IDDES) SST k-ω model and the Large Eddies Simulation Wall Adaptive model. It was found that all models have predicted a convergent surface pressure. The RST, the IDDES and the WALE LES are the only models which have well described regions of pressure gradient. They have all predicted a pressure difference between the planes (1–5) which shows a movement of the air from the lower plane 1 (inlet) to the higher plane 5 (outlet). The RST and IDDES have predicted better vorticities on the plane 1 (inlet). It was also found that the model RST, IDDES, and WALE LES have captured properly the area of turbulences across the internal region of the case. All models have predicted the point of flow separation. They have also revealed that the IDDES and the WALE LES can capture and model the wake eddies at different planes. Thus, they are the most appropriate for such simulation although demanding in computational power. The movement of air predicted by almost all models could be used to drive a turbine.
Towards an Optimal Deep Neural Network for SOC Estimation of Electric-Vehicle Lithium-Ion Battery Cells
Authors: Anjum Muhammad , Asif Moizzah , Williams Jonathan 
Published: April 2021

AbstractThis paper has identified a minimal configuration of a DNN architecture and hyperparameter settings to effectively estimate SOC of EV battery cells. The results from the experimental work has shown that a minimal configuration of hidden layers and neurons can reduce the computational cost and resources required without compromising the performance. This is further supported by the number of epochs taken to train the best DNN SOC estimations model. Hence, demonstrating that, the risk of overfitting estimation models to training datasets, can also be subsided. This is further supported by the generalisation capability of the best model demonstrated through the decrease in error metrics values from test phase to those in validation phase.
Optimal Design of Environmental-Friendly Hybrid Power Generation System
Authors: Hosseini SeyedVahid , Izadi Ali , Boloorchi Afsaneh Sadat , Madani Seyed Hossein , Chen Yong , Chizari Mahmoud 
Published: April 2021

AbstractCombination of both renewable and fuel-based generation systems is an advantageous approach to develop off-grid distributed power plants. This approach requires evaluation of the techno-economic potential of each source in a selected site as well as optimization of load sharing strategy between them. Development of a remote hybrid power plant in an off-grid area is the interest of this study. Defining all available combinations, characteristics of performance, cost and availability of them evaluated. Applying constraints, multi-objective target domain based on load following and Levelized Cost of Electricity is established in which by utilizing Pareto front approach, optimized scenarios is achieved.
How Often Do You Open Your House Windows When Heating is ON? An Investigation of the Impact of Occupants’ Behaviour on Energy Efficiency of Residential Buildings
Authors: Salim Sherna , Al-Habaibeh Amin 
Published: April 2021

AbstractCurrently, there are many initiatives to thermally insulate buildings on the assumption that the more insulated the building is, the more efficient in terms of energy conservation it will perform. Many assessment systems assume a linear relationship between building insulation and energy conservation. The drawback of such hypotheses is that they ignore the effect of occupants’ behaviour in their conclusions. In this study, the authors will examine the effect of people’s behaviour, particularly windows’ opening, as a behavioural pattern of occupants. It aims to study the impact of occupant’s behaviour on energy consumption of residential buildings and to identify the key factors that influence occupants’ behaviour; thus, providing ideas for improving energy efficiency by suggesting enhanced policies, approaches and techniques. The findings suggest that occupants’ behaviour could have a greater influence on the energy efficiency of buildings in some cases when compared with their thermal insulation due to opening of windows in cold weather which causes air infiltration.
Fuel Poverty and Health Implications of Elderly People Living in the UK
Authors: Abdi Ali Mohamed , Arewa Andrew , Tyrer Mark 
Published: April 2021

AbstractFuel poverty is widely recognised as distinct form of injustice and social inequality and a front burner issue in the last three decades in the UK. The crisis affects 4.5 million households in the UK, and it is a major high-risk contributor to health of elderly people (NEA in Effects of Living in Fuel Poverty, NEA.ORG, London, 2020, [1]). Thus, the consequences of fuel poverty range from psychological stress, worry and isolation to serious health conditions such as respiratory and circulatory diseases. The aim of the study is to investigate the role of fuel poverty on reoccurring health risks of elderly people. The study adopted quantitative research methods with participants drawn from West Midlands region of England - UK; an area with high population of elderly people, carers, health professionals and energy professionals. Findings from the survey indicate that fuel poverty is one of the major aspects that contributes to health implications among elderly people in the UK.
Review of Heat Demand Time Series Generation for Energy System Modelling
Authors: Peacock Malcolm , Fragaki Aikaterini , Matuszewski Bogdan J. 
Published: April 2021

AbstractNational heat demand time series are important inputs into national energy system models. Although time series for primary fuel such as gas might be available, heat demand is not and measuring heat demand is only possible for individual buildings. Four different methods are used in this work to generate daily heat demand time series for Great Britain for 2016–2018 from temperature and windspeed and are validated against heat demand derived from national grid gas demand. All seem to model heat demand well.
The Impact of Data Segmentation in Predicting Monthly Building Energy Use with Support Vector Regression
Authors: Mounter William , Dawood Huda , Dawood Nashwan 
Published: April 2021

AbstractAdvances in metering technologies and machine learning methods provide both opportunities and challenges for predicting building energy usage in the both the short and long term. However, there are minimal studies on comparing machine learning techniques in predicting building energy usage on their rolling horizon, compared with comparisons based upon a singular forecast range. With the majority of forecasts ranges being within the range of one week, due to the significant increases in error beyond short term building energy prediction. The aim of this paper is to investigate how the accuracy of building energy predictions can be improved for long term predictions, in part of a larger study into which machine learning techniques predict more accuracy within different forecast ranges. In this case study the ‘Clarendon building’ of Teesside University was selected for use in using it’s BMS data (Building Management System) to predict the building’s overall energy usage with Support Vector Regression. Examining how altering what data is used to train the models, impacts their overall accuracy. Such as by segmenting the model by building modes (Active and dormant), or by days of the week (Weekdays and weekends). Of which it was observed that modelling building weekday and weekend energy usage, lead to a reduction of 11% MAPE on average compared with unsegmented predictions.
Between Origin and Destination: German Migrants and the Individual Consequences of Their Global Lives
Authors: Erlinghagen Marcel , Ette Andreas , Schneider Norbert F. , Witte Nils 
Published: April 2021

AbstractDuring the twentieth century, international migration was mainly understood as immigration into economically highly developed welfare states. This has changed over the course of recent decades because these countries are meanwhile also understood as important sources of international mobility. Whereas international mobility experiences have potentially far-reaching consequences for social inequalities and life chances, migration studies have only little experience in analysing international migration from those economically highly developed welfare states. This introduction frames the chapters in this volume that contribute to fill this gap by examining the individual consequences of global lives not only as a question of migrants’ integration into receiving societies (destination). Rather, the consequences of international mobility are also studied by comparing migrants with the non-mobile population of the country of origin (origin) and as results of specific trajectories (migration) in individual life courses during the migration process (Destination-Origin-Migration Approach). The introduction also provides an overview of how this approach is utilised by the different chapters of the book, all based on the German Emigration and Remigration Panel Study (GERPS), which provides a comprehensive empirical basis for studying the consequences of international migration along four dimensions of the life course: employment and social mobility, partner and family, wellbeing and health, as well as friends and social integration.
Out of Sight, out of Mind? Frequency of Emigrants’ Contact with Friends in Germany and its Impact on Subjective Well-Being
Authors: Mansfeld Lisa 
Published: April 2021

AbstractMigration implies both benefits and costs. The latter include a possible breakdown of social networks, and thus a loss of social capital. Although there is some literature on the evolution of family networks after migration, not as much is known about friendship. This article assesses the quality of friendships between German emigrants and their friends who stayed in Germany. In particular, it asks three research questions: (a) How does the quality of relationships with friends in Germany differ from the quality of other relationships after migration? (b) How is friendship quality after migration related to socio-demographic or socio-economic factors? And (c) is there a link between friendship quality and the subjective well-being of emigrants? Results indicate that friendship quality measured as frequency of contact with friends falls in the middle range of contact frequency, as emigrants typically have more contact with partners and children, but less contact with some other relatives, compared to close friends. Furthermore, several determinants of contact frequency (e.g. gender, age, length of stay and household constellation) can be identified and correlations with various aspects of subjective well-being were found.
Emigration, Friends, and Social Integration: The Determinants and Development of Friendship Network Size After Arrival
Authors: Décieux Jean Philippe , Mörchen Luisa 
Published: April 2021

AbstractFriendships can be interpreted as voluntary relationships between individuals and characterised as relatively amorphous bond. Since migration usually diversifies people’s social bonds, it can be suggested that in this context friendships have to be reconfigured. Even though friendships are important for societal integration and related to individual well-being, migration research has treated friendships as a side issue. This chapter aims to narrow this gap by answering three questions: Are there significant differences between emigrants and non-mobiles in their number of close friends? What are important factors influencing emigrants’ number of close friends abroad? How does this number develop during the first years after emigration? Based on data from the German Emigration and Remigration Panel Study and the German Socio-Economic Panel, the results show that emigrants have more friends than non-mobiles. Additionally, we find that individual characteristics and cultural distance between emigrant and host society or the intension to stay in the emigration country are significantly related to emigrants’ friendship network size. Furthermore, we find that identification with the emigration country is the most influential factor on the size of the friendship networks during the first 2 years after arrival. Our results also provide some evidence that there is an optimal size of the close-friendship-network.
Setting up Probability-Based Online Panels of Migrants with a Push-to-Web Approach: Lessons Learned from the German Emigration and Remigration Panel Study (GERPS)
Authors: Genoni Andreas , Décieux Jean Philippe , Ette Andreas , Witte Nils 
Published: April 2021

AbstractWe address two major challenges in setting up probability-based online panels of migrants, using the German Emigration and Remigration Panel Study (GERPS) as an example. The first challenge is potential spatial and social selectivity in unit response when using push-to-web recruitment. To address the first challenge, we draw on a split ballot experiment with return migrants in wave 1 of GERPS. The related analysis uses population register data and geo data. We use logistic regressions to compare unit nonresponse between a push-to-web-only control group (n = 5999) and two sub-samples (eachn = 1000) with optional paper and pencil interviews (PAPI). The second challenge is panel attrition. To address the second challenge, we investigate the role of individual-level and survey-related factors for panel consent. The regression analysis uses GERPS data of first-wave respondents, estimating panel consent rates for responding remigrants in general (n = 6395) and in the experiment sample (n = 2130). We find that the provision of an optional paper questionnaire marginally increases the likelihood of response. The positive correlation of PAPI and response rate, however, is counterbalanced by a negative correlation with the likelihood of panel consent. This suggests a trade-off scenario to the detriment of either response rates or panel participation rates.