Voltage and power quality improvement strategy for a DFIG wind turbine during variable wind conditions

This paper presents a voltage and power quality enhancement scheme for a doubly-fed induction generator (DFIG) wind farm during variable wind conditions. The wind profiles were derived considering the measured data at a DFIG wind farm located in Northern Ireland (NI). The aggregated DFIG wind farm model was validated using measured data at a wind farm during variable generation. The voltage control strategy was developed considering the X/R ratio of the wind farm feeder which connects the wind farm and the grid. The performance of the proposed strategy was evaluated for different X/R ratios, and wind profiles with different characteristics. The impact of flicker propagation along the wind farm feeder and effectiveness of the proposed strategy is also evaluated with consumer loads connected to the wind farm feeder. It is shown that voltage variability and short-term flicker severity is significantly reduced following implementation of the novel strategy described.

Intra and Interorganizational Learning Networks and the Implementation of Quality Improvement Initiatives: The Case of a Portuguese Teaching Hospital

Learning has an important position in the development of employees and their expertise. This article focuses on the role and utilization of intra and interorganizational formal and informal learning within different types of learning networks. Specifically, we investigate different types of networks (inter- or intraorganizational) and different types of learning (formal or informal) that can occur within such networks. Our qualitative case study is based on 46 expert interviews involving 49 interviewees, through which we explore how formal and informal learning was used in the development and implementation of quality improvement initiatives at a large public teaching hospital in Portugal. Our analysis suggests that formal and informal learning can take place within different types of learning networks that draw on internal resources as well as on the collaboration with external entities. The article argues that it is important for HRD managers, seeking to support organizational learning, to understand how different types of learning take place, and which features of learning networks support these processes.

Developing a model of innovation implementation for UK SMEs: A path analysis and explanatory case analysis

Continuous large-scale changes in technology and the globalization of markets have resulted in the need for many SMEs to use innovation as a means of seeking competitive advantage where innovation includes both technological and organizational perspectives (Tapscott, 2009). However, there is a paucity of systematic and empirical research relating to the implementation of innovation management in the context of SMEs. The aim of this article is to redress this imbalance via an empirical study created to develop and test a model of innovation implementation in SMEs. This study uses Structural Equation Modelling (SEM) to test the plausibility of an innovation model, developed from earlier studies, as the basis of a questionnaire survey of 395 SMEs in the UK. The resultant model and construct relationship results are further probed using an explanatory multiple case analysis to explore ‘how’ and ‘why’ type questions within the model and construct relationships. The findings show that the
effects of leadership, people and culture on innovation implementation are mediated by business improvement activities relating to Total Quality Management/Continuous Improvement (TQM/CI) and product and process developments. It is concluded that SMEs have an opportunity to leverage existing quality and process improvement activities to move beyond continuous
improvement outcomes towards effective innovation implementation. The article concludes by suggesting areas suitable for further research.

Assessment of groundwater quality recovery strategies using nitrate transport modelling. Application to the Saône alluvial formations (Tournus, Saône-et-Loire)

To assess the efficiency of different agro-environmental strategies used to reduce groundwater pollution by nitrates, transport modelling in soils and groundwater has been carried out on two withdrawal areas in an alluvial plain. In a first time, the agro-environmental model AgriFlux allowed the simulation of water and nitrates fluxes flowing to groundwater. This model was calibrated for each agro-pedological unit of the studied territory. In a second time, the application of the hydrogeological model MODFLOW-MT3D allowed the simulation of nitrate transport in groundwater for the 1980-2004 period. This soil-groundwater coupled modelling has shown that soil nature is the first factor that conditions the vulnerability to nitrates. Thus, nitrate leaching occurs preferentially under sandy soils. Efficiency of different agro-environmental operations for groundwater quality recovery was quantified. The best results are obtained by combination of (1) grassland re-installation on sandy agricultural lots located in near well protection perimeter and (2) fertilization reduction on sandy agricultural lots located in the well alimentation area upstream the near protection perimeter. On other soils, the effect of grassland on groundwater quality improvement is more limited. Nevertheless, the control of nitrate fertilisation remains essential and is justified in both near and far well protection perimeters. Modelling thus allows optimising and priorizing agro-environmental actions in alluvial agricultural zones. [Comte J.-C., Banton O., Kockmann F., Villard A., Creuzot G. (2006), Assessment of groundwater quality recovery strategies using nitrate transport modelling. Application to the Saône alluvial formations (Tournus, Saône-et-Loire), Ingénieries Eau-Agriculture-Territoires, 45, 15-28]

Dedicated severe asthma services improve health-care use and quality of life

Background: Systematic assessment of severe asthma can be used to confirm the diagnosis, identify comorbidities, and address adherence to therapy. However, the prospective usefulness of this approach is yet to be established. The objective of this study was to determine whether the systematic assessment of severe asthma is associated with improved quality of life (QoL) and health-care use and, using prospective data collection, to compare relevant outcomes in patients referred with severe asthma to specialist centers across the United Kingdom. Methods: Data from the National Registry for dedicated UK Difficult Asthma Services were used to compare patient demographics, disease characteristics, and health-care use between initial assessment and a median follow-up of 286 days. Results: The study population consisted of 346 patients with severe asthma. At follow-up, there were significant reductions in health-care use in terms of primary care or ED visits (66.4% vs 87.8%, P < .0001) and hospital admissions (38% vs 48%, P = .0004). Although no difference was noted in terms of those requiring maintenance oral corticosteroids, there was a reduction in steroid dose (10 mg [8-20 mg] vs 15 mg [10-20 mg], P = .003), and fewer subjects required short-burst steroids (77.4% vs 90.8%, P = .01). Significant improvements were seen in QoL and control using the Asthma Quality of Life Questionnaire and the Asthma Control Questionnaire. Conclusions: To our knowledge, this is the first time that a prospective study has shown that a systematic assessment at a dedicated severe asthma center is associated with improved QoL and asthma control and a reduction in health-care use and oral steroid burden.