Dynamic inflow effects occur due to the rapid change of the rotor loading underconditions such as fast pitch steps. The paper presents a setup suitable for the investigation ofthose effects for non-axisymmetric rotor conditions, namely individual pitch steps. Furthermore, insights into the relevant phenomena are gathered. An individual pitch control capable model wind turbine is set up in a wind tunnel in order to conduct measurement under controllable conditions. During the execution of the collective and individual pitch steps, the loads and the operational parameters are recorded by the onboard sensors. Meanwhile, simulations engineering aeroelastic codes are run in order to evaluate their accuracy for predicting the relevant phenomena. Results show distinct behaviour of the rotor loads during an individual pitch step, which differs from the loads under collective steps. The free vortex wake simulations are able to predict the turbines’ response satisfactory while the blade element momentum tools show deviations from the measurements. The findings serve as a basis for discussion and future work.
To aid HR practitioners in their design of firm specific HRM configurations, andcontribute to the state of the art HRM knowledge, we created a simulation model. In this paper we present the simulation model, and the serious game in which it was implemented, but focus on the practical and academical implication of creating and using our initial HRM simulation model.Deciding which HR-practices to select, and how to design them in a multiyear HRMconfiguration is a challenging task for any HR-practitioner due to the large number of interrelated options to pick from. In particular as, according to configurational HRM, the configuration of HR-practices needs to reflect the organizational strategy (vertical alignment) and show internal consistency (horizontal alignment). Currently, no (technological) tool aids HR-practitioners in their quest to design an aligned HRM configuration. To fill this void, we created an HRM simulation model and used it in a serious game which was played during workshops with HR-practitioners.Configurational HRM postulates that HRM configuration need to be both verticallyand horizontally aligned. However, to date, no specific information on how to make these levels of alignment happen is present. As a result, no specific hypothesis based on configurational HRM has been defined and empirical validation of this mode of theorizing is limited. Using the simulation model and serious game we aspire to specify the configurational mode of theorizing with a new level of detail enabling more precise empirical exploration of configurational HRM.The creation of an HRM simulation model and serious game proved to beworthwhile. During the workshops, HR-practitioners stated that the simulation model and game enables them to get to grips with the complexity of designing a firm specific HRM configuration. Furthermore, the simulation model enables us to specify configurational HRM to a new level of detail enabling a wide variety of research opportunities. The simulation model, serious game, and implications are discussed in this paper.
MULTIFILE
Mechanical power output is a key performance-determining variable in many cyclic sports. In rowing, instantaneous power output is commonly determined as the dot product of handle force moment and oar angular velocity. The aim of this study was to show that this commonly used proxy is theoretically flawed and to provide an indication of the magnitude of the error. To obtain a consistent dataset, simulations were performed using a previously proposed forward dynamical model. Inputs were previously recorded rower kinematics and horizontal oar angle, at 20 and 32 strokes∙min−1. From simulation outputs, true power output and power output according to the common proxy were calculated. The error when using the common proxy was quantified as the difference between the average power output according to the proxy and the true average power output (P̅residual), and as the ratio of this difference to the true average power output (ratiores./rower). At stroke rate 20, P̅residual was 27.4 W and ratiores./rower was 0.143; at stroke rate 32, P̅residual was 44.3 W and ratiores./rower was 0.142. Power output in rowing appears to be underestimated when calculated according to the common proxy. Simulations suggest this error to be at least 10% of the true power output.
