Identifying PV module mismatch faults by a thermography-based temperature distribution analysis

Photovoltaic (PV) solar power generation is proven to be effective and sustainable but is currently hampered by relatively high costs and low conversion efficiency. This paper addresses both issues by presenting a low-cost and efficient temperature distribution analysis for identifying PV module mismatch faults by thermography. Mismatch faults reduce the power output and cause potential damage to PV cells. This paper first defines three fault categories in terms of fault levels, which lead to different terminal characteristics of the PV modules. The investigation of three faults is also conducted analytically and experimentally, and maintenance suggestions are also provided for different fault types. The proposed methodology is developed to combine the electrical and thermal characteristics of PV cells subjected to different fault mechanisms through simulation and experimental tests. Furthermore, the fault diagnosis method can be incorporated into the maximum power point tracking schemes to shift the operating point of the PV string. The developed technology has improved over the existing ones in locating the faulty cell by a thermal camera, providing a remedial measure, and maximizing the power output under faulty conditions.

Northern Ireland and ‘The Troubles’, outlining an innovative approach to nursing/midwifery student teaching and module evaluation

This discussion paper outlines an approach to developing and evaluating an educative programme primarily delivered by lay `citizen trainers’ in educating student nurses, and student midwives to the impact of and experience of extended and extensive civil unrest within their communities (`the Troubles’ ). This is drawn from experience within the Northern Ireland `Troubles’ and all of the citizen trainers were directly affected physically/psychologically. The programme was intended to both educate but primarily to help facilitate student nurses and student midwives to better understanding to experience and context and to more effective care delivery to those affected by/damaged by `the Troubles’. Evaluation of the teaching and learning by the students was significantly positive.

Pathogens in Milk: Enterobacter Species. Reference Module in Food Sciences.

Enterobacter species commonly occur in the environment and are recognized as opportunistic human pathogens in clinical settings. However, with the exception of Enterobacter sakazakii (Cronobacter), Enterobacter species are not normally considered foodborne pathogens. Cronobacter are particularly associated with illness in infants, particularly within the first 3 months after birth. Therefore, although Cronobacter are found in a wide range of fresh and dried food materials, it is their contamination of the infant formula production chain that is the major cause for concern. Cronobacter are noted for their ability to survive during desiccation and their persistence in dried infant food for at least 2 years.

Impact of an evidence-based online module on best practice in physical therapy for children with developmental coordination disorder: a mixed methods study

Aims : This study evaluates the impact of a Developmental Coordination Disorder (DCD) evidence-based online module including synthesized resources, practical strategies, and interactive component on self-reported physical therapist (PT) knowledge, skills, and practice. Methods : PTs from across Canada completed questionnaires before, immediately after, and 2 months following completion of the module. Questionnaires used 7-point Likert scale items and short open-ended questions; analyzes used paired t-tests and a thematic approach. Results : Fifty PTs completed both pre- and post-questionnaires; 41 of these completed the follow-up questionnaire. Most items (79%) evaluating self-reported knowledge and skills increased significantly following module completion and this increase was maintained two months later. Most participants (92%) reported an increase in their confidence to provide DCD evidence-based services. Participants plan to modify their evaluative practices (e.g., involving children in goal setting) and their management of DCD (e.g., using best practice principles, providing resources to families and physicians). At the 2- month follow-up, 46% of participants had returned to the module to review information (e.g., video, resources) or to download handouts. Conclusion : An online module developed collaboratively with PTs has the potential not only to increase PTs’ knowledge, but also to support them in implementing evidence-based services for children with DCD.

Working with physical therapists to develop and evaluate an evidence-based online module for Developmental Coordination Disorder (DCD): bridging the knowledge-to-practice gap

Aims: Developmental Coordination Disorder (DCD) is a chronic condition with potential negative health consequences. Clinicians working with children with DCD need access to tailored, synthesized, evidence-based DCD information; however a knowledge-to-practice gap exists. The aim of this study was to develop and evaluate an evidence-based online DCD module tailored to physical therapists’ (PTs) identified needs. Methods: Guided by the Knowledge to Action framework, we interviewed PTs working with children with DCD (n=9) to identify their information needs. Their recommendations, along with synthesized DCD research evidence, informed module development. PTs (n=50) responded to scaled items and open-ended questions to evaluate module usefulness. Results: The module incorporated important PT DCD content areas including: 1) Identification; 2) Planning Interventions and Goals; 3) Evidence-Based Practice; 4) Management; and, 5) Resources. Case scenarios, clinical applications, interactive media, links to resources, and interactive learning opportunities were also embedded. PTs perceived the module to be comprehensive and useful and provided feedback to improve module navigation. Conclusions: Involving end-users throughout the development and evaluation of an online PT DCD module contributed to its relevance, applicability, and utility. The ongoing clinical use of this module may have the potential to improve the quality of PT DCD services.

Literature Review WM9: Part II - light goods vehicles in urban areas, carried as as part Work Module 1, Green Logistics Project

LGVs are of ever-greater importance in terms of the final delivery of many time-critical, high value goods and are also widely used in industries that provide a wide range of critical support services. There are almost five times as many LGVs as there are HGVs (goods vehicles over 3.5 tonnes gross vehicle weight) currently licensed in Britain. The LGV fleet in Britain is growing at a faster rate than the HGV fleet, and the LGV fleet travels more than twice as many vehicle kilometres each year than the total HGV fleet. LGVs perform a far greater proportion of their total distance travelled in urban areas than HGVs, and consume 25% of the total diesel and 3% of the total petrol used by all motorised road transport vehicles in Britain.

Literature Review WM9: Part I - urban freight transport, carried out as part of Work Module 1, Green Logistics Project

The review illustrates the importance of road movements in goods distribution in urban areas. It highlights the major economic, environmental and social impacts associated with this freight activity and reviews policy options available to those responsible for regulation. A wide range of possible solutions to problems posed by urban freight operations are also covered including approaches related to: consolidation, facilities, vehicle design, information capture and utilisation, and non-road modes.

Self-optimization module for scheduling using case-based reasoning

Metaheuristics performance is highly dependent of the respective parameters which need to be tuned. Parameter tuning may allow a larger flexibility and robustness but requires a careful initialization. The process of defining which parameters setting should be used is not obvious. The values for parameters depend mainly on the problem, the instance to be solved, the search time available to spend in solving the problem, and the required quality of solution. This paper presents a learning module proposal for an autonomous parameterization of Metaheuristics, integrated on a Multi-Agent System for the resolution of Dynamic Scheduling problems. The proposed learning module is inspired on Autonomic Computing Self-Optimization concept, defining that systems must continuously and proactively improve their performance. For the learning implementation it is used Case-based Reasoning, which uses previous similar data to solve new cases. In the use of Case-based Reasoning it is assumed that similar cases have similar solutions. After a literature review on topics used, both AutoDynAgents system and Self-Optimization module are described. Finally, a computational study is presented where the proposed module is evaluated, obtained results are compared with previous ones, some conclusions are reached, and some future work is referred. It is expected that this proposal can be a great contribution for the self-parameterization of Metaheuristics and for the resolution of scheduling problems on dynamic environments.

Contextual intelligent load management with ANN adaptive learning module

With the current increase of energy resources prices and environmental concerns intelligent load management systems are gaining more and more importance. This paper concerns a SCADA House Intelligent Management (SHIM) system that includes an optimization module using deterministic and genetic algorithm approaches. SHIM undertakes contextual load management based on the characterization of each situation. SHIM considers available generation resources, load demand, supplier/market electricity price, and consumers’ constraints and preferences. The paper focus on the recently developed learning module which is based on artificial neural networks (ANN). The learning module allows the adjustment of users’ profiles along SHIM lifetime. A case study considering a system with fourteen discrete and four variable loads managed by a SHIM system during five consecutive similar weekends is presented.

PV inverters for module level applications

Dissertação para obtenção do Grau de Mestre em Energias Renováveis – Conversão Eléctrica e Utilização Sustentáveis

The caspase-3-p120-RasGAP module generates a NF-κB repressor in response to cellular stress.

The nuclear factor κB (NF-κB) transcription factor is a master regulator of inflammation. Short-term NF-κB activation is generally beneficial. However, sustained NF-κB might be detrimental, directly causing apoptosis of cells or leading to a persistent damaging inflammatory response. NF-κB activity in stressed cells needs therefore to be controlled for homeostasis maintenance. In mildly stressed cells, caspase-3 cleaves p120 RasGAP, also known as RASA1, into an N-terminal fragment, which we call fragment N. We show here that this fragment is a potent NF-κB inhibitor. Fragment N decreases the transcriptional activity of NF-κB by promoting its export from the nucleus. Cells unable to generate fragment N displayed increased NF-κB activation upon stress. Knock-in mice expressing an uncleavable p120 RasGAP mutant showed exaggerated NF-κB activation when their epidermis was treated with anthralin, a drug used for the treatment of psoriasis. Our study provides biochemical and genetic evidence of the importance of the caspase-3-p120-RasGAP stress-sensing module in the control of stress-induced NF-κB activation.