Chen, C. ., Witte, F. ., Tuschy, I. ., Kolditz, O. ., & Shao, H. . (2022). Parametric optimization and comparative study of an organic Rankine cycle power plant for two-phase geothermal sources. Energy, 123910. http://doi.org/https://doi.org/10.1016/j.energy.2022.123910
Abstract
For two-phase geothermal sources, Organic Rankine Cycle (ORC) based binary plant is often applied for power production. In this work, a network topology is designed with the open-source Thermal Engineering Systems in Python (TESPy) software to simulate the stationary operation of the ORC plant. With this topology, the performance of six different working fluids are compared. From the thermodynamic perspective, the gross and net power output are optimized respectively. Results show that R600 has the highest gross power output of 17.55 MW, while R245fa has the highest net power output of 12.93 MW. However, the turbine inlet temperatures for these two working fluids need to be designed at the upper theoretical limit. R245ca and R601a require the heat exchange rates of internal heat exchanger to be larger than 1.51 MW and 0.99 MW to satisfy the re-injection temperature limit, which are smaller than the R600 (6.7 MW) and R245fa (6.0 MW) cases. Besides, the working fluid with lower critical state is preferred for a geothermal source with smaller steam fraction to establish a stable ORC plant. The workflow for the ORC design and optimization in this work is generic, and can be further applied to thermo-economic investigation.
Branlard, E. ., & Geisler, J. . (2022). A symbolic framework to obtain mid-fidelity models of flexible multibody systems with application to horizontal-axis wind turbines. Wind Energy Science, 7, 2351–2371. http://doi.org/10.5194/wes-7-2351-2022
Abstract
The article presents a symbolic framework (also called computer algebra program) that is used to obtain, in symbolic mathematical form, the linear and nonlinear equations of motion of a mid-fidelity multibody system including rigid and flexible bodies. Our approach is based on Kane's method and a nonlinear shape function representation for flexible bodies. The shape function approach does not represent the state of the art for flexible multibody dynamics but is an effective trade-off to obtain mid-fidelity models with few degrees of freedom, taking advantage of the separation of space and time. The method yields compact symbolic equations of motion with implicit account of the constraints. The general and automatic framework facilitates the creation and manipulation of models with various levels of complexity by adding or removing degrees of freedom. The symbolic treatment allows for analytical gradients and linearized equations of motion. The linear and nonlinear equations can be exported to Python code or dedicated software. There are multiple applications, such as time domain simulation, stability analyses, frequency domain analyses, advanced controller design, state observers, and digital twins. In this article, we describe the method we used to systematically generate the equations of motion of multibody systems and present the implementation of the framework using the Python package SymPy. We apply the framework to generate illustrative land-based and offshore wind turbine models. We compare our results with OpenFAST simulations and discuss the advantages and limitations of the method. The Python implementation is provided as an open-source project.
Pornak, S. C., Griemsmann, S. ., Böhle, A. ., Lusch, A. ., Schulte, R. ., & Lehr, B. . (2022). Evaluation einer Prostatakrebsnachsorge-App aus Patientensicht: Eine qualitative Studie. Zeitschrift für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen, 175, 67–75.
Chateaureynaud, M.-A. . (Hrsg.). (2022). LSP Teacher Training Summer School . The TRAILs project. Champs Didactiques Plurilingues : données pour des politiques stratégiques (Bd. 13, S. 280). Brüssel (Belgien): Peter Lang. http://doi.org/10.3726/b20096
Abstract
This book is the result of research carried out in partnership with seven European universities as part of an Erasmus+ project on training teachers of Language for Specifi c Purpose (LSP) in higher education. All university partners, i.e. Bordeaux (France), Zagreb (Croatia), Jade (Germany), Cádiz (Spain), Adam Mickiewicz (Poland), Ljubljana (Slovenia), Arcola Research (UK), and Bergamo (Italy) carried out surveys and developed a detailed report showing that in Europe there is very little training for this type of teaching, and that teachers generally need to be trained in the specifi cities of the language fi eld they are going to teach. Medical or maritime English, legal Spanish, French for tourism, etc. require both an expert domain
knowledge and a grounding in language teaching. Several testimonies highlight this situation and show the lack of career development prospects for LSP teachers at European universities.
The members of the Erasmus+ TRAILs project have therefore been interested in the specifi c needs of LSP teachers and have been able to update the information through several types of surveys. The competences
of LSP teachers were thus identifi ed. Based on this precise inventory, they are proposing to draw up a complete training programme.
A pedagogical approach has been developed: resources, lesson preparation, course design, innovative pedagogical approaches are presented. The research presented in this book goes well beyond the TRAILs project and questions the training of specialised language teachers. More generally, it highlights the need to provide effective training and professional development for LSP teachers and offers a contribution to overcoming the shortcomings of LSP teacher education.
Ebbers, I. . (2022). Ökonomisches Denken lehren und lernen in der Entrepreneurship Education. In Brahm, Taiga / Iberer, Ulrich / Kärner, Tobias / Weyland, Michael (Hrsg.): Ökonomisches Denken lehren und lernen. Theoretische, empirische und praxisbezogene Perspektiven (S. 159–170). Bielefeld. Abgerufen von https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwig4aKDqf79AhXEQ_EDHTBoBpAQFnoECAsQAQ&url=https%3A%2F%2Fwww.pedocs.de%2Fvolltexte%2F2023%2F26122%2Fpdf%2FBrahm_et_al_2022_Oekonomisches_Denken_lehren.pdf&usg=AOvVaw1GE
Berg, S.-H. ., & Mitra, J. . (2022). Good Tech and Social Good: Value Creation by Korean Social and High-Tech Oriented Start-Ups. Volume 8 Issue 1, 8(1), 29–45. Abgerufen von https://EconPapers.repec.org/RePEc:sae:jouent:v:8:y:2022:i:1:p:29-45
Abstract
Through an exploration of Korean high-tech social enterprises, we aim to identify and explore critically (a) how socially engaged, early stage, high technology firms combine social and economic objectives with which to scale up their ventures; and (b) how socially engaged firms seek entrepreneurial opportunity development, including the internationalisation process and the support of stake holding institutions to help scale up the value creation process. We highlight ‘people’, ‘organisations’ and the ‘environment’ dimensions, enabling an understanding of the drivers of socially entrepreneurial activity both from individual and societal perspectives. The analytical framework of our study is based on empirical data acquired from individual in-depth interviews, group interviews, active participatory observations and survey data from 2018 to 2021. We found that social motivation and objectives of the entrepreneurs are equally strong drivers and that they are the principal factors for the scaling up process. The motivation is strengthened by the proactive role of government initiatives which also attract other key stakeholders in the growth process. A combination of digital technology with a high degree of social motivation of the entrepreneurs tends to lead to the development of international market opportunities and attract the interests of international foundations.
Ivannikov, V. ., Thomsen, F. ., Ebel, T. ., & Willumeit-Römer, R. . (2022). Coupling the discrete element method and solid state diffusion equations for modeling of metallic powders sintering. Computational Particle Mechanics. http://doi.org/https://doi.org/10.1007/s40571-022-00486-6
Blaufus, K. ., Chirvi, M. ., Huber, H.-P. ., Maiterth, R. ., & Sureth-Sloane, C. . (2022). Tax Misperception and its Effects on Decision Making – Literature Review and Behavioral Taxpayer Response Model. European Accounting Review, 31(1). http://doi.org/10.1080/09638180.2020.1852095
Abstract
Previous accounting research shows that taxes affect decision making by individuals and firms. Most studies assume that agents have an accurate perception regarding their tax burden. However, there is a growing body of literature analyzing whether taxes are indeed perceived correctly. We review 128 studies on the measurement of tax misperception and its behavioral implications. The review reveals that many taxpayers have substantial tax misperceptions that lead to biased decision making. We develop a Behavioral Taxpayer Response Model on the impact of provided tax information on tax perception. Besides individual traits, characteristics of the tax information and the decision environment determine the extent of tax misperception. We discuss opportunities for future research and methodological limitations. While there is much evidence on tax misperception at the individual level, we hardly find any research at the firm level. Little is known about the real effects of managers’ tax misperception and on how tax information is strategically managed to impact stakeholders. This research gap is surprising as a large part of the accounting literature analyzes decision making and disclosure of firms. We recommend a mixed-method approach combining experiments, surveys, and archival data analyses to improve the knowledge on tax misperception and its consequences.