962 resultados para trabalho virtual


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A segunda fase passou pela distribuição desses mesmos inquéritos às empresas sensibilizando “in loco” os vários intervenientes para a importância da temática em causa. Foram abrangidas áreas profissionais distintas de forma a verificar se o problema é transversal. Seguidamente definiu-se a quantos trabalhadores seriam entregues os inquéritos para preenchimento, tentando abranger vários níveis dentro das empresas, desde as chefias de topo, passando pelas chefias intermédias, até aos operários, de forma a refletir de que forma as suas responsabilidades e funções na empresa estavam de acordo com as suas qualificações e se lhes era proporcionada formação profissional inicial e contínua. A terceira e quarta fase prenderam-se respetivamente com a análise dos resultados obtidos através das respostas obtidas nos vários inquéritos, assim como tirar algumas conclusões sobre os resultados obtidos e de que forma a falta de formação e qualificação podem potenciar acidentes de trabalho. No inquérito enviado, constatou-se que 35% dos acidentes de trabalho são sofridos por trabalhadores na faixa dos 26-35 anos e 27% na faixa dos 36-45 anos e 21% por trabalhadores na faixa dos 46-55 anos. Apenas 2% dos 17 trabalhadores que tiveram acidentes de trabalho tinham habilitações ao nível da Licenciatura, podendo considerar-se que a falta de qualificação pode potenciar acidentes de trabalho. Constatou-se que 85% dos 17 trabalhadores que sofreram acidentes de trabalho, têm um contrato de trabalho a termo certo, o que pode ser um fator de risco, dada a instabilidade a nível profissional. No inquérito enviado, dos 17 trabalhadores que sofreram acidentes de trabalho constatou-se que 97% trabalha entre 8 a 9 horas diárias, os restantes 3% trabalha entre 10 a 11 horas. O facto de terem longas jornadas diariamente potencia a que haja acidentes de trabalho, devido ao cansaço do trabalhador, o que é um fator de risco para a segurança do mesmo. No presente estudo verificou-se que 49% dos 17 trabalhadores que já tiveram acidentes de trabalho, trabalham há mais de 15 anos na mesma área. Por outro lado, 51% dos trabalhadores trabalham há menos de 5 anos na mesma área e não tiveram qualquer acidente de trabalho. No estudo efetuado, constatou-se que 5% dos 17 trabalhadores que já sofreram acidentes de trabalho, não utiliza qualquer equipamento de proteção individual e/ou coletivo, criando assim condições favoráveis a acidentes de trabalho, potenciando fatores de risco para a segurança. Dos 17 trabalhadores que já sofreram acidentes de trabalho, 100% refere que a empresa promove ações de formação, informação e/ou sensibilização em termos de Segurança, Higiene e Saúde no Trabalho (SHST). Conclui-se então que a formação pode não ter sido a mais adequada e eficaz, constituindo um fator de risco. Nas respostas obtidas através do inquérito enviado verificou-se que os 12 anos de escolaridade são transversais aos três níveis hierárquicos, dirigentes, chefias e operários, o que demonstra que, por vezes, a qualificação profissional dos trabalhadores não está de acordo com as funções e responsabilidades que exercem na empresa, o que consequentemente pode ser um risco, potenciando acidentes de trabalho. Foi também realizada uma análise à literatura existente sobre o tema abordado. De realçar que, tratando-se de um tema ainda pouco estudado, houve alguma dificuldade em pesquisar sobre o mesmo.

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É sabido que os Sistemas de Gestão de Segurança e Saúde do Trabalho (SGSST) são fundamentais, de modo a que seja proporcionado aos trabalhadores um ambiente de trabalho seguro e saudável, de maneira a evitar acidentes de trabalho. No entanto, identificam-se várias dificuldades na implementação e manutenção dos referidos sistemas. O presente estudo pretende analisar a relação dos acidentes de trabalho com a evolução do SGSST numa empresa de Valorização e Tratamento de Resíduos Sólidos. Especificamente, visa analisar se os acidentes de trabalho diminuíram com a evolução do sistema, e quais as causas que podem influenciar essa relação. Foram analisados os acidentes de trabalho antes e após a implementação do SGSST. Posteriormente, foram avaliadas as perceções dos trabalhadores da empresa através da aplicação de três questionários desenvolvidos para o efeito. Os resultados obtidos mostram que a redução dos acidentes não se relaciona diretamente com a evolução do SGSST, isto é, não foi verificado que o número de acidentes de trabalho diminuiu ao longo dos anos com a evolução do sistema de gestão. Os questionários desenvolvidos foram aplicados aos trabalhadores para determinar qual a perceção da integração do risco no SGSST, através dos quais se verificou que todos a consideram extremamente importante e deve ser aumentada a participação de todos nas etapas do processo de gestão do risco para que o controlo dos riscos seja mais efetivo, e com isto se possam evitar acidentes. Este estudo contribuiu para aumentar o conhecimento sobre a perceção dos trabalhadores relativamente aos riscos e o quanto isso poderá influenciar a ocorrência de acidentes.

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All over the world Distributed Generation is seen as a valuable help to get cleaner and more efficient electricity. Under this context distributed generators, owned by different decentralized players can provide a significant amount of the electricity generation. To get negotiation power and advantages of scale economy, these players can be aggregated giving place to a new concept: the Virtual Power Producer. Virtual Power Producers are multi-technology and multi-site heterogeneous entities. Virtual Power Producers should adopt organization and management methodologies so that they can make Distributed Generation a really profitable activity, able to participate in the market. In this paper we address the integration of Virtual Power Producers into an electricity market simulator –MASCEM – as a coalition of distributed producers.

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Power systems have been suffering huge changes mainly due to the substantial increase of distributed generation and to the operation in competitive environments. Virtual power players can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. Resource management gains an increasing relevance in this competitive context, while demand side active role provides managers with increased demand elasticity. This makes demand response use more interesting and flexible, giving rise to a wide range of new opportunities.This paper proposes a methodology for managing demand response programs in the scope of virtual power players. The proposed method is based on the calculation of locational marginal prices (LMP). The evaluation of the impact of using demand response specific programs on the LMP value supports the manager decision concerning demand response use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 32 bus network with intensive use of distributed generation.

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Smart Grids (SGs) appeared as the new paradigm for power system management and operation, being designed to integrate large amounts of distributed energy resources. This new paradigm requires a more efficient Energy Resource Management (ERM) and, simultaneously, makes this a more complex problem, due to the intensive use of distributed energy resources (DER), such as distributed generation, active consumers with demand response contracts, and storage units. This paper presents a methodology to address the energy resource scheduling, considering an intensive use of distributed generation and demand response contracts. A case study of a 30 kV real distribution network, including a substation with 6 feeders and 937 buses, is used to demonstrate the effectiveness of the proposed methodology. This network is managed by six virtual power players (VPP) with capability to manage the DER and the distribution network.

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Power systems have been through deep changes in recent years, namely with the operation of competitive electricity markets in the scope and the increasingly intensive use of renewable energy sources and distributed generation. This requires new business models able to cope with the new opportunities that have emerged. Virtual Power Players (VPPs) are a new player type which allows aggregating a diversity of players (Distributed Generation (DG), Storage Agents (SA), Electrical Vehicles, (V2G) and consumers), to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players` benefits. A major task of VPPs is the remuneration of generation and services (maintenance, market operation costs and energy reserves), as well as charging energy consumption. This paper proposes a model to implement fair and strategic remuneration and tariff methodologies, able to allow efficient VPP operation and VPP goals accomplishment in the scope of electricity markets.

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The increasing importance given by environmental policies to the dissemination and use of wind power has led to its fast and large integration in power systems. In most cases, this integration has been done in an intensive way, causing several impacts and challenges in current and future power systems operation and planning. One of these challenges is dealing with the system conditions in which the available wind power is higher than the system demand. This is one of the possible applications of demand response, which is a very promising resource in the context of competitive environments that integrates even more amounts of distributed energy resources, as well as new players. The methodology proposed aims the maximization of the social welfare in a smart grid operated by a virtual power player that manages the available energy resources. When facing excessive wind power generation availability, real time pricing is applied in order to induce the increase of consumption so that wind curtailment is minimized. The proposed method is especially useful when actual and day-ahead wind forecast differ significantly. The proposed method has been computationally implemented in GAMS optimization tool and its application is illustrated in this paper using a real 937-bus distribution network with 20310 consumers and 548 distributed generators, some of them with must take contracts.

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This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimisation techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Producers (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper detail some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study.

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Distributed energy resources will provide a significant amount of the electricity generation and will be a normal profitable business. In the new decentralized grid, customers will be among the many decentralized players and may even help to co-produce the required energy services such as demand-side management and load shedding. So, they will gain the opportunity to be more active market players. The aggregation of DG plants gives place to a new concept: the Virtual Power Producer (VPP). VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. In this paper we propose the improvement of MASCEM, a multi-agent simulation tool to study negotiations in electricity spot markets based on different market mechanisms and behavior strategies, in order to take account of decentralized players such as VPP.

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Power system organization has gone through huge changes in the recent years. Significant increase in distributed generation (DG) and operation in the scope of liberalized markets are two relevant driving forces for these changes. More recently, the smart grid (SG) concept gained increased importance, and is being seen as a paradigm able to support power system requirements for the future. This paper proposes a computational architecture to support day-ahead Virtual Power Player (VPP) bid formation in the smart grid context. This architecture includes a forecasting module, a resource optimization and Locational Marginal Price (LMP) computation module, and a bid formation module. Due to the involved problems characteristics, the implementation of this architecture requires the use of Artificial Intelligence (AI) techniques. Artificial Neural Networks (ANN) are used for resource and load forecasting and Evolutionary Particle Swarm Optimization (EPSO) is used for energy resource scheduling. The paper presents a case study that considers a 33 bus distribution network that includes 67 distributed generators, 32 loads and 9 storage units.

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O presente artigo tem por objectivo conhecer a existência de LMELT (Lesões Músculo-Esqueléticas Ligadas ao Trabalho), através da avaliação de sintomas, movimentos e posições auto-referidos pelos operários das Fábricas de Queijo da Ilha de São Jorge, através da aplicação de dois Questionários. A amostra foi constituída por 61 operários das três Fábricas. Através dos resultados obtidos pode-se afirmar que estes operários apresentam LMELT, manifestando-se por dores nas diferentes zonas corporais, devido a realização de tarefas repetidas, levantamento e transporte de cargas, a temperaturas extremas e ainda pelo facto dos locais de trabalho não estarem adaptados ergonomicamente.

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Sustainable development concerns made renewable energy sources to be increasingly used for electricity distributed generation. However, this is mainly due to incentives or mandatory targets determined by energy policies as in European Union. Assuring a sustainable future requires distributed generation to be able to participate in competitive electricity markets. To get more negotiation power in the market and to get advantages of scale economy, distributed generators can be aggregated giving place to a new concept: the Virtual Power Producer (VPP). VPPs are multi-technology and multisite heterogeneous entities that should adopt organization and management methodologies so that they can make distributed generation a really profitable activity, able to participate in the market. This paper presents ViProd, a simulation tool that allows simulating VPPs operation, in the context of MASCEM, a multi-agent based eletricity market simulator.

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This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimization techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Players (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper details some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study based on real data.

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Nowadays, there is a growing environmental concern about were the energy that we use comes from, bringing the att ention on renewable energies. However, the use and trade of renewable e nergies in the market seem to be complicated because of the lack of guara ntees of generation, mainly in the wind farms. The lack of guarantees is usually addressed by using a reserve generation. The aggregation of DG p lants gives place to a new concept: the Virtual Power Producer (VPP). VPPs can reinforce the importance of wind generation technologies, making them valuable in electricity markets. This paper presents some resul ts obtained with a simulation tool (ViProd) developed to support VPPs in the analysis of their operation and management methods and of their strat egies effects.