Publikationen

Autor*in

Jahr der Veröffentlichung

Publikationsformat

Keyword

Forschungsprojekt

Institut/Einrichtung

2023

Assessing lidar-assisted feedforward and multivariable feedback controls for large floating wind turbines

Guo, F., & Schlipf, D. (2023). Assessing lidar-assisted feedforward and multivariable feedback controls for large floating wind turbines. Wind Energy Science, 8, 1299–1317. http://doi.org/10.5194/wes-8-1299-2023
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Filter Tags
2023

Journal Article

F. Guo

D. Schlipf
Checklists to support decision-making in regression testing

Minhas, N. M., Börstler, J., & Petersen, K. (2023). Checklists to support decision-making in regression testing. Journal of Systems and Software, 202, 111697.
Suche auf Google Scholar
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Petersen, Kai
Filter Tags
2023

Journal Article

Nasir Minhas

Jürgen Börstler

Kai Petersen
On the Impact of a Business Intelligence System on Analysis Effort: A Case Study of Flensburg Municipality in Germany

Petersen, K., Wasse, A., Cruse, T., Sietas, J., & Gerken, J. M. (2023). On the Impact of a Business Intelligence System on Analysis Effort: A Case Study of Flensburg Municipality in Germany. Anwendungen und Konzepte der Wirtschaftsinformatik (AKWI), (18), 13.
Suche auf Google Scholar
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Petersen, Kai

Gerken, Jan

Forschungsprojekt

BI-F 2022: Business Intelligence 2022 – Stadtverwaltung Flensburg

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 4: Wirtschaft
Filter Tags
2023

Journal Article

Kai Petersen

Amelie Wasse

Tim Cruse

Jacob Sietas

Jan Gerken
Using goal—question—metric to compare research and practice perspectives on regression testing

Minhas, N. M., Koppula, T., Petersen, K., & Börstler, J. (2023). Using goal—question—metric to compare research and practice perspectives on regression testing. Journal of Software: Evolution and Process, 35, e2506.
Suche auf Google Scholar
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Petersen, Kai

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research
Filter Tags
2023

Journal Article

Nasir Minhas

Thejendar Koppula

Kai Petersen

Jürgen Börstler

2022

A Resource-Efficient Design for a Flexible Hydraulic-Pneumatic Flywheel in Wind Turbine Blades

Alhrshy, L., & Jauch, C. (2022). A Resource-Efficient Design for a Flexible Hydraulic-Pneumatic Flywheel in Wind Turbine Blades. Journal of Physics: Conference Series, 2265, 032018. http://doi.org/10.1088/1742-6596/2265/3/032018 (Original work published 2025)

Abstract

The utilization of renewable energy resources significantly increases in order to reduce the impact of climate change. Wind turbines are one of the most important renewable energy sources and have an important role to play in power generation. They do, however, have to serve the increasingly variable demands of the grid. Some of these demands cannot be satisfied with the standard control mechanisms of state-of-the-art wind turbines. A hydraulic-pneumatic flywheel in a wind turbine rotor is one mechanism which, in addition to its various grid services, can also reduce the mechanical loads on the structure of a wind turbine. However, the installation of such a flywheel into rotor blades increases the weight of the blades. This paper focusses on the development of a design method for reducing the additional mass of the flywheel. This method incorporates the piston accumulators of the flywheel in the blade support structure, which allows for the replacement of parts of the blade spar caps with composite material from the piston accumulators. This enables the flywheel to be installed into the rotor blades without making the wind turbine significantly heavier.
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Jauch, Clemens
Filter Tags
2022

Journal Article

L Alhrshy

Prof. Dr. Clemens Jauch
Atmospheric Irrigation with Wind Turbines

Jauch, C., & Emeis, S. (2022). Atmospheric Irrigation with Wind Turbines. Journal of Physics: Conference Series, 2265, 042066. http://doi.org/10.1088/1742-6596/2265/4/042066 (Original work published 2025)

Abstract

In this paper, atmospheric irrigation with wind turbines is proposed. This technology addresses the problem of water scarcity by enhancing the natural water circuit in the atmosphere with wind turbines. There are three different operating modes conceivable for this technology. In two of these the wind turbines interact with the ground in their near wake. The third operating mode is the one which is discussed in this paper, and it aims at transporting water potentially over long distances. The basic working principle, the utilized physical phenomena and the basic design of the technology are introduced. The equations governing the hydraulic and the hydrological effects are presented. The goal of this paper is to quantify the necessary power and the necessary amount of water when wind turbines humidify a certain volume of air in the atmosphere. For this purpose, the power and water demand are assessed, both in a generalized manner and for a realistic scenario. It is concluded that the proposed system can achieve the objective in most wind speed conditions. However, the required amount of water is substantial. Therefore, an alternative source of fresh water has to be found when the system is used on a comparably large scale.
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Jauch, Clemens
Filter Tags
2022

Journal Article

Prof. Dr. Clemens Jauch

S Emeis
Four-dimensional wind field generation for the aeroelastic simulation of wind turbines with lidars

Chen, Y., Guo, F., Schlipf, D., & Cheng, P. W. (2022). Four-dimensional wind field generation for the aeroelastic simulation of wind turbines with lidars. Wind Energy Science, 7, 539–558. http://doi.org/10.5194/wes-7-539-2022 (Original work published 2025)
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Schlipf, David
Filter Tags
2022

Journal Article

Yiyin Chen

Feng Guo

David Schlipf

Po Cheng
Digitale Sichtbarkeit – Eine Umfrage in der Global Digital Women Community

Reimer, T., & Onaran, T. (2022). Digitale Sichtbarkeit – Eine Umfrage in der Global Digital Women Community. Zeitschrift für Diversitätsforschung und -management, 7(1), 25–26. Abgerufen von https://doi.org/10.3224/zdfm.v7i1.12
Suche auf Google Scholar
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Abteilung/Einrichtung

Jackstädt-Zentrum Flensburg (JZF)

Profilbereich

Start-up- und KMU-Management

Forschungsfeld

Fachkräfte und Vernetzung

Fachbereich

Fachbereich 4: Wirtschaft
Filter Tags
2022

Journal Article

Tanja Reimer

Tijen Onaran
Impact of green entrepreneurship on sustainable development: An ex-post empirical analysis

Neumann, T. (2022). Impact of green entrepreneurship on sustainable development: An ex-post empirical analysis. Journal of Cleaner Production 37, pp. 134317-+. http://doi.org/10.1016/j.jclepro.2022.134317

Abstract

This paper contributes to the recent stream of econometric entrepreneurship research by introducing the environmental orientation of new ventures as a key factor for sustainable development. It empirically assesses whether relationships exist between national shares of green entrepreneurial activity (GEA) and economic, social, and environmental development. Theory and first empirical evidence suggest that – compared to conventional new ventures – new green ventures have a more positive economic and social impact and are less harmful or even beneficial to environmental quality. OLS regressions were estimated to empirically test the impact of GEA rates (share of total entrepreneurial activity) on GDP, the modified HDI, and CO₂ emissions. For this purpose, Global Entrepreneurship Monitor data for 11,909 early-stage entrepreneurs was aggregated to the macro-level of 53 countries and merged with further international datasets. The results confirmed that higher shares of GEA are positively related to economic and social development but not to environmental development. Additional tests proved the robustness of the results for different economic development levels, time-lag variations, and different measurements of dependent and independent variables. The identified economic and social importance of GEA warrants intensified policy efforts to support the discovery, creation, and exploitation of green business opportunities. Potential explanations for the counterintuitive non-significant environmental impact are discussed, leading to new research avenues.
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Abteilung/Einrichtung

Jackstädt-Zentrum Flensburg (JZF)

Profilbereich

Start-up- und KMU-Management

Forschungsfeld

Entrepreneurship

Fachbereich

Fachbereich 4: Wirtschaft
Filter Tags
2022

Journal Article

Thomas Neumann

carbon dioxide

data collection

econometrics

empirical research

Entrepreneurship

environmental impact

environmental quality

issues and policy

social impact

sustainable development
Care Teams Misunderstand What Most Upsets Patients About Their Care

Conner, A. L., Podtschaske, B., Mazza, M. C., Zionts, D. L., Malcolm, E. J., Thomson, C. C., … Milstein, A. (2022). Care Teams Misunderstand What Most Upsets Patients About Their Care. Healthcare, 10(4), 100657. http://doi.org/https://doi.org/10.1016/j.hjdsi.2022.100657 (Original work published Dezember 2022)

Abstract

Background: Negative healthcare delivery experiences can cause lasting patient distress and medical service misuse and disuse. Yet no multi-site study has examined whether care-team members understand what most upsets patients about their care.
Methods: We interviewed 373 patients and 360 care-team members in the medical oncology and ambulatory surgery clinics of 11 major healthcare organizations across six U.S. census regions. Patients deeply upset by a service-related experience (n = 99, 27%) answered questions about that experience, while care-team members (n = 360) answered questions about their beliefs regarding what most upsets patients. We performed content analysis to identify memorably upsetting care (MUC) themes; a generalized estimating equation to explore whether MUC theme mention frequencies varied by participant role (care-team member vs. patient), specialty (oncology vs. surgery), facility (academic vs. community), and gender; and logistic regressions to investigate the effects of participant characteristics on individual themes.
Results: MUC themes included three systems issues (inefficiencies, access barriers, and facilities problems) and four care-team issues (miscommunication, neglect, coldness, and incompetence). MUC theme frequencies differed by role (all Ps < 0.001), with more patients mentioning care-team coldness (OR = 0.37; 95% CI, 0.23-0.60) and incompetence (OR = 0.17; 95% CI, 0.09-0.31); but more care-team members mentioning system inefficiencies (OR = 7.01; 95% CI, 4.31-11.40) and access barriers (OR, 5.48; 95% CI, 2.81-10.69).
Conclusions: When considering which service experiences most upset patients, care-team members underestimate the impact of their own behaviors and overestimate the impact of systems issues.
Implications: Healthcare systems should reconsider how they collect, interpret, disseminate, and respond to patient service reports.
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Podtschaske, Beatrice

Profilbereich

Gesundheit und Life Sciences

Fachbereich

Fachbereich 4: Wirtschaft
Filter Tags
2022

Journal Article

Alana Conner

Beatrice Podtschaske

Mary Mazza

Dani Zionts

Elizabeth Malcolm

Carey Thomson

Sara Singer

Arnold Milstein

Patient experience

Systems issues

Content analysis

Mixed methods

Publikationen

2023

Exportformate

Filter Tags

Exportformate

Weiterführende Links

Filter Tags

Exportformate

Weiterführende Links

Filter Tags

Exportformate

Weiterführende Links

Filter Tags

2022

Abstract

Exportformate

Weiterführende Links

Filter Tags

Abstract

Exportformate

Weiterführende Links

Filter Tags

Exportformate

Weiterführende Links

Filter Tags

Exportformate

Weiterführende Links

Filter Tags

Abstract

Exportformate

Weiterführende Links

Filter Tags

Abstract

Exportformate

Weiterführende Links

Filter Tags