CFD analysis of operational flow nature of a wind turbine model using environmental wind data from Nigerian Defence Academy (NDA)

A wind turbine is a machine which converts the power in the wind into electricity. It operates under varying wind speeds depending on the environmental wind conditions. In this paper, we have presented the operational flow analysis of a proposed wind turbine model in Nigerian Defence Academy (NDA) Kaduna. The case study is for 5.6m/s, 7.5m/s and 9.5m/s wind speed. The model design and assembly of the components were done with the help of SolidWorks 2018 and the operational flow analysis done with ANSYS 15.0. The result showed that the flow nature of the turbine model grew from laminar flow to turbulent flow increasingly with the environmental wind speed. The flow nature remained laminar from 0.0356 to 1780 Reynolds at 5.6m/s. At 7.5m/s wind speed, from laminar 0.403 Reynolds to turbulent 4290 Reynolds and at 9.5m/s, from laminar 0.381 Reynolds to turbulent 4900 Reynolds. High turbulent flow and mass imbalance nature depicts that phenomenon like wake and vibration of the system occurred.

Knowledge Management Infrastructure Framework for Enhancing Knowledge-Intensive Business Processes

In this age of digital transformation, knowledge-intensive organizations strive to improve business outcomes and sustainability by improving their knowledge-intensive business processes (KIBPs) to obtain a competitive advantage. Many researchers have claimed that KIBP enhancement is possible through knowledge management (KM) initiatives supported by an effective KM infrastructure. Current KM infrastructures deal with formal KM procedures, where knowledge is created, stored, assimilated, and disseminated. Such activities, however, are designed to be performed outside of the business process. KM infrastructures are expected to be more effective when they include specific real-time knowledge procedures integrated into the operational flow of KIBPs. This paper explores how modern KM infrastructures can support KIBPs, considering both formal and operational KM procedures. Our study’s essential contribution is the conceptual KM infrastructure framework (KMIF) developed based on grounded theory research. This infrastructure provides a systematic and robust approach, starting from the ground up, for structuring organizational knowledge assets across a range of KIBP environments. We define operational knowledge procedures directly involved in KIBPs, adding a layer to KM infrastructures beyond the formal knowledge procedures. A mixed-method case study was conducted to demonstrate and evaluate the proposed KMIF for enhancing business outcomes and sustainability of knowledge-intensive organizations.

Fast, Environmentally Sound and Efficient Well Clean-Up Operations: Lessons Learned and Best Practices from Operations Around the World

Well clean-up is one of the most complex operations performed at the wellsite today. During clean-up, a well is flowing for the first time after initial completion or workover operations through temporary surface facilities to either conduct a welltest or to simply condition the well before connecting it to production facilities. Currently, there are no practical recommendations available that would summarize clean-up experiences and guide operating companies through the process of efficiently planning well clean-up operations. Conventional well clean-up operations are inherently challenging owing to the requirements for accurate data measurements, safe handling and disposal of produced fluids (hydrocarbons, completion brine, water, and solids). Experience has shown that it is nearly impossible to perform well clean up within pre-defined constraints and target criteria without an appropriate design, equipment selection and operations planning to account for the specificities of each situation. Steady-state flow simulators have been the standard tool to model pressure and temperature changes along the wellbore and through temporary production system during well clean-up process. Those assume either final stabilized conditions or a limited number of intermediate ones and formed the basis for equipment selection. But this approach has critical limitations in modelling flowing well behavior and fast-changing flowing conditions, and therefore in assessing operational flow assurance risks and the dynamic capability of the surface plant to handle produced fluids. The paper describes in detail today's challenges during well clean-up operations that combine the need for operational safety, minimal environmental footprint and flow assurance considerations that have to be balanced with costs and production performance optimization. The paper provides practical recommendations and presents multiple case studies highlighting the results and lessons learned from applying a novel, unique workflow based on the application of a transient-multiphase flow simulator. Combined with modern well-testing equipment such as modern test separators, remotely actuated adjustable chokes or environmentally friendly fluid disposal techniques, such advanced design allows performing clean-up operations efficiently while remaining within time, rates, pressure or emissions limits.

An Experimental Framework for 5G Wireless System Integration into Industry 4.0 Applications

The fourth industrial revolution, or Industry 4.0 (I4.0), makes use of wireless technologies together with other industrial Internet-of-Things (IIoT) technologies, cyber–physical systems (CPS), and edge computing to enable the optimization and the faster re-configuration of industrial production processes. As I4.0 deployments are ramping up, the practical integration of 5G wireless systems with existing industrial applications is being explored in both Industry and Academia, in order to find optimized strategies and to develop guidelines oriented towards ensuring the success of the industrial wireless digitalization process. This paper explores the challenges arisen from such integration between industrial systems and 5G wireless, and presents a framework applicable to achieve a structured and successful integration. The paper aims at describing the different aspects of the framework such as the application operational flow and its associated tools, developed based on analytical and experimental applied research methodologies. The applicability of the framework is illustrated by addressing the integration of 5G technology into a specific industrial use case: the control of autonomous mobile robots. The results indicate that 5G technology can be used for reliable fleet management control of autonomous mobile robots in industrial scenarios, and that 5G can support the migration of the on-board path planning intelligence to the edge-cloud.

AGV Scheduling Optimization for Medical Waste Sorting System

The dramatic increase in medical waste has put a severe strain on sorting operations. Traditional manual order picking is extremely susceptible to infection spread among workers and picking errors, while automated medical waste sorting systems can handle large volumes of medical waste efficiently and reliably. This paper investigates the optimization problem in the automated medical waste sorting system by considering the operational flow of medical waste. For this purpose, a mixed-integer programming model is developed to optimize the assignment among medical waste, presorting stations, and AGVs. An effective variable neighborhood search based on dynamic programming algorithm is proposed, and extensive numerical experiments are conducted. It is found that the proposed algorithm can efficiently solve the optimization problem, and the sensitivity analysis gives recommendations for the speed setting of the conveyor.

Lean Management Implementation in Small and Medium Sized Companies – A Success Case Study in a Manufacturing Process

Objective: The aim of this paper is to understand a production system of a forging and presses structure of a centenary factory in terms of a cultural change on the management approach. Methodology: The study was focused on many aspects such as the pieces production lead time, a time study of the setups, the Overall Equipment Effectiveness determination for the Computer Numeric Control machinery and an analysis of the production cells operational flow. Findings: For the aspects that were analysed during the study, the problems are identified, and the root causes determined. At the end of the assessment stage Lean tools and concepts for fixing the problems were proposed, like new rules for production planning, setups procedures, 5S toll usage and a Lean implementation plan that is adapted to the company. Value Added: The high industrial competitivity has dictated the development for this sector that – allied with the inconstant and unstable economic environment – makes the companies very vulnerable and highly dependent of the global market. This is a concern of special relevance for the Small and Medium Size companies that are increasingly adopting Lean solutions to continuously improve their operational value chain and the management approach, for a more systemic way of thinking. Recommendations: For some of the solutions an impact study with their implementation was made. An analysis of the success factors proposed in the literature that were verified during the assessment stage of the case study was performed as well.

Implementação da metodologia Safety Huddle na Terapia Intensiva durante a pandemia Covid-19: Relato de Experiência

Objetivo: relatar a implementação do Safety Huddle em unidades de terapia intensiva durante a pandemia da COVID-19 através de uma ferramenta eletrônica, desenvolvida por um grupo de enfermeiros intensivistas e profissionais da tecnologia da informação que atuam na saúde. Método: trata-se de um relato de experiência sobre a implementação da ferramenta Safety Huddle, através do método ágil Scrum. Resultados: a primeira etapa foi de identificação dos indicadores que deveriam ser incluídos para a realização do Safety Huddle nas Unidades de Terapia Intensiva e necessários ao monitoramento e discussão durante as reuniões de segurança. A segunda etapa foi de implementação do modelo proposto, com apresentação do fluxo de operacionalização da ferramenta Safety Huddle com envio diário do alerta intitulado “Alerta COVID-19”. Conclusão: contribuiu para o gerenciamento e agilidade na identificação dos pacientes acometidos pela COVID-19, priorizando o atendimento de acordo com a condição clínica do paciente permitindo a disponibilidade dos leitos, otimização de recursos e assegurando os serviços assistenciais na instituição.Descritores: Cuidados Críticos; Segurança do Paciente; Gestão de Riscos; Vírus da SARS; Qualidade em Saúde.IMPLEMETATION OF THE SAFETY HUDDLE METHODOLOGY IN INTENSIVE THERAPY DURING PANDEMIC COVID-19: EXPERIENCE REPORTObjective: to report the implementation of Safety Huddle in intensive care units during the COVID-19 pandemic through an electronic tool, developed by a group of intensive care nurses and information technology professionals working in health. Method: this is an experience report on the implementation of the Safety Huddle tool, using the agile Scrum method. Results: the first step was to identify the indicators that should be included for the Safety Huddle in the Intensive Care Units and necessary for monitoring and discussion during safety meetings. The second stage was the implementation of the proposed model, with the presentation of the operational flow of the Safety Huddle tool with daily dispatch of the alert entitled “COVID Alert-19”. Conclusion: contributed to the management and agility in the identification of patients affected by COVID-19, prioritizing care according to the patient's clinical condition allowing the availability of beds, optimization of resources and ensuring assistance services in the institution.Descriptors: Critical Care; Patient Safety; Risk Management; SARS Virus; Health Quality.IMPLEMETACIÓN DE LA METODOLOGÍA SAFETY HUDDLE EN TERAPIA INTENSIVA DURANTE PANDEMIC COVID-19: INFORME DE EXPERIENCIA Objetivo: informar la implementación de Safety Huddle en unidades de cuidados intensivos durante la pandemia COVID-19 a través de una herramienta electrónica, desarrollada por un grupo de enfermeras de cuidados intensivos y profesionales de tecnología de la información que trabajan en salud. Método: este es un informe de experiencia sobre la implementación de la herramienta Safety Huddle, utilizando el método ágil Scrum. Resultados: el primer paso fue identificar los indicadores que deberían incluirse para llevar a cabo Safety Huddle en las Unidades de Cuidados Intensivos y necesarios para el monitoreo y la discusión durante las reuniones de seguridad. La segunda etapa fue la implementación del modelo propuesto, con la presentación del flujo operativo de la herramienta Safety Huddle con el envío diario de la alerta titulada "Alerta 19 COVID". Conclusión: contribuyó al manejo y agilidad en la identificación de pacientes afectados por COVID 19, priorizando la atención de acuerdo con la condición clínica del paciente permitiendo la disponibilidad de camas, la optimización de recursos y asegurando servicios de asistencia en la institución.Descriptores: Cuidados Críticos; Seguridad del Paciente; Gestión de Riesgos; Virus del SRAS; Calidad em Salud.

The influence of the vitiated air from the treatment plants on the urban and rural development

In order to reduce the emissions produced by the operational flow of a wastewater treatment plant, regardless of whether they are located in urban or rural areas, the quality of air must be analyzed. For this reason, the Constanta Nord treatment plant was chosen as a study location. This is near the Mamaia resort and does not fall within the recommended sanitary protection norms, according to NP-032-1999 (at least 300 m from the last house). Therefore, it was necessary to take measures to reduce the repellent gases generated in the neighborhood of wastewater treatment plants. The solution is in attention of all wastewater treatment plants from the world because this depend on operational flux management and health of population.The research consists of: description of the technological flow of the treatment plant and in particular of the deodorizing installation of the contaminated air, choosing a work scenario for a day with 2 shifts per hour, respectively 6 shifts per hour, the air flow needed to treat the vitiated air (the deodorization plant components) and the efficiency of the regulation system from the point of view of energy consumption. Also, possible leakage of dangerous gases into the atmospheric air was monitored (H2S, Cl2, CO), taking into account the fact that in the immediate vicinity there is the Mamaia resort, the student housing and rural locations Palazu and Mamaia village.