954 resultados para Nonoperating Vehicles.
Resumo:
A preocupação sobre a qualidade do ar nas zonas industriais confere aos estudos sobre a qualidade do ar uma importância acrescida. Este trabalho teve como objectivo saber qual a contribuição dos principais poluentes provenientes do tráfego automóvel para a qualidade do ar na zona do parque industrial da Sapec, da PenÃnsula da Mitrena, concelho de Setúbal, recorrendo ao modelo meteorológico e de qualidade do ar, TAPM (The Air Pollution Model). Neste trabalho analisaram-se dados da estação de monitorização da qualidade do ar, mais próxima da zona de estudo (Subestação) por forma a caracterizar-se a zona em causa, a nÃvel meteorológico e da qualidade do ar. Os dados metereológico desta estação também foram utilizados com o objectivo de se validar os resultados meteorológicos obtidos pelo modelo. Na avaliação da contribuição do tráfego para a qualidade do ar, recorreu-se a um estudo de tráfego realizado pela Estradas de Portugal (EP) em 2004. Este estudo realizou a contagem dos veÃculos que se dirigiram ao parque industrial nos dias 14 e 15 de Dezembro, num perÃodo de 24 horas. A partir dessa contagem e de factores de emissão foi possÃvel determinar a contribuição, de cada classe de veÃculo, para as concentrações atmosféricas de PM10 (resultantes de processos de combustão e ressuspensão), NOx, CO e HC. A comparação entre os dados meteorológicos simulados e medidos mostram que o modelo teve um bom comportamento, isto é, as discrepâncias entre os valores simulados e medidos foram mÃnimas. Relativamente à contribuição de cada categoria de veÃculos para a qualidade do ar, verificou-se que a classe de pesados de mercadorias foi aquela que mais contribui para as emissões de PM10, NOx e HC, enquanto que para as emissões de CO foram os veÃculos ligeiros de passageiros que tiveram uma maior contribuição. As classes dos motociclos e ciclomotores foram aquelas que tiveram uma menor contribuição para as concentrações atmosféricas de poluentes. Comparando as emissões de PM10 provenientes dos processos de combustão e de ressuspensão conclui-se que a maior percentagem provem da ressuspensão.
Resumo:
The aim of this study was the assessment of exposure to ultrafine in the urban environment of Lisbon, Portugal, due to automobile traffic, and consisted of the determination of deposited alveolar surface area in an avenue leading to the town center during late spring. This study revealed differentiated patterns for weekdays and weekends, which could be related with the fluxes of automobile traffic. During a typical week, ultrafine particles alveolar deposited surface area varied between 35.0 and 89.2 μm2/cm3, which is comparable with levels reported for other towns such in Germany and the United States. These measurements were also complemented by measuring the electrical mobility diameter (varying from 18.3 to 128.3 nm) and number of particles that showed higher values than those previously reported for Madrid and Brisbane. Also, electron microscopy showed that the collected particles were composed of carbonaceous agglomerates, typical of particles emitted by the exhaustion of diesel vehicles. Implications: The approach of this study considers the measurement of surface deposited alveolar area of particles in the outdoor urban environment of Lisbon, Portugal. This type of measurements has not been done so far. Only particulate matter with aerodynamic diameters <2.5 (PM2.5) and >10 (PM10) μm have been measured in outdoor environments and the levels found cannot be found responsible for all the observed health effects. Therefore, the exposure to nano- and ultrafine particles has not been assessed systematically, and several authors consider this as a real knowledge gap and claim for data such as these that will allow for deriving better and more comprehensive epidemiologic studies. Nanoparticle surface area monitor (NSAM) equipments are recent ones and their use has been limited to indoor atmospheres. However, as this study shows, NSAM is a very powerful tool for outdoor environments also. As most lung diseases are, in fact, related to deposition of the alveolar region of the lung, the metric used in this study is the ideal one.
Resumo:
The main purpose of this study was to examine the applicability of geostatistical modeling to obtain valuable information for assessing the environmental impact of sewage outfall discharges. The data set used was obtained in a monitoring campaign to S. Jacinto outfall, located off the Portuguese west coast near Aveiro region, using an AUV. The Matheron’s classical estimator was used the compute the experimental semivariogram which was fitted to three theoretical models: spherical, exponential and gaussian. The cross-validation procedure suggested the best semivariogram model and ordinary kriging was used to obtain the predictions of salinity at unknown locations. The generated map shows clearly the plume dispersion in the studied area, indicating that the effluent does not reach the near by beaches. Our study suggests that an optimal design for the AUV sampling trajectory from a geostatistical prediction point of view, can help to compute more precise predictions and hence to quantify more accurately dilution. Moreover, since accurate measurements of plume’s dilution are rare, these studies might be very helpful in the future for validation of dispersion models.
Resumo:
Uma cidade amiga das pessoas idosas é um meio urbano onde são proporcionadas condições de saúde, segurança e participação que permitem à s pessoas mais velhas envelhecerem activamente e viverem com dignidade. A nossa investigação, de natureza qualitativa e exploratória, teve como objectivo verificar se a cidade do Porto possui caracterÃsticas de uma cidade amiga das pessoas idosas, na perspectiva de idosos residentes neste meio urbano. Para tal, realizamos dois focus groups com idosos habitantes nas Freguesias de S. Nicolau e Sé, seleccionados a partir de uma amostragem por conveniência, tendo sido utilizado um guião de entrevista constituÃdo pelas categorias: espaços exteriores e edifÃcios; transportes; habitação; respeito e inclusão social; participação social; participação cÃvica e emprego; comunicação e informação; apoio comunitário e serviços de saúde. No nosso estudo, foi possÃvel constatar que os participantes, apesar de se manifestarem genericamente satisfeitos com a sua vida na cidade do Porto e identificarem algumas caracterÃsticas desse meio urbano que podem ser consideradas como amigas das pessoas idosas, descreveram um vasto conjunto de condições da cidade que limitam o seu quotidiano. Neste sentido, relativamente aos espaços exteriores, para além de os caracterizarem como inseguros quanto ao crime, reconheceram essencialmente limitações à sua mobilidade e segurança fÃsica, tais como os declives acentuados e as irregularidades do terreno de certos passeios, o curto perÃodo de tempo proporcionado para que sejam atravessadas algumas passadeiras e o aglomerar de lixo e estacionamento de veÃculos em locais destinados a peões. Adicionalmente, os participantes manifestaram-se insatisfeitos com o número de autocarros e paragens disponÃveis na sua freguesia e identificaram nas habitações existentes na cidade do Porto um elevado nÃvel de degradação estrutural e uma falta generalizada de condições de conforto, acessibilidade e protecção face a condições atmosféricas. Em oposição, foi possÃvel verificar que a maior parte dos participantes se sente respeitado e incluÃdo nas actividades e eventos realizados na sua comunidade. Da mesma forma, mostraram-se satisfeitos com a variedade de actividades em que têm oportunidade de participar, incluindo actividades de voluntariado e trabalho não remunerado. Aspectos caracterÃsticos de uma cidade amiga do idoso, tais como a aglomeração geográfica dos edifÃcios públicos e lojas e a existência de serviços de apoio comunitário foram também identificados.
Resumo:
O presente estudo, de natureza qualitativa e exploratório, teve como objectivo verificar se a cidade do Porto possui caracterÃsticas de uma cidade amiga das pessoas idosas, na perspectiva de idosos residentes neste meio urbano. Uma cidade amiga das pessoas idosas estimula um envelhecimento activo e com dignidade ao optimizar oportunidades para a saúde, participação e segurança. Foram realizados dois focus groups com pessoas idosas habitantes das Freguesias da Vitória e Miragaia, seleccionados a partir de uma amostragem por conveniência, recorrendo-se a um guião de entrevista constituÃdo pelas seguintes categorias: espaços exteriores e edifÃcios; transportes; habitação; respeito e inclusão social; participação social; participação cÃvica e emprego; comunicação e informação; apoio comunitário e serviços de saúde. Desta forma, foi possÃvel verificar que, apesar dos participantes identificarem um conjunto de condições que podem ser consideradas amigas das pessoas idosas, a maior parte das caracterÃsticas referidas foram encaradas como negativas e com um impacto considerável no seu quotidiano. A participação social, os meios de informação disponÃveis e os serviços comunitários são as condições perante as quais os participantes demonstram maior satisfação. Pelo contrário, em relação aos espaços exteriores, referem aspectos, como os grandes declives, as más condições dos pavimentos, os obstáculos nos passeios e a acumulação de lixo, que contribuem para um ambiente desagradável e inseguro. Quanto aos transportes, as modificações na identificação dos veÃculos, as alterações nos percursos, a pouca consciencialização dos motoristas em relação à s necessidades dos mais velhos e as condições das paragens são os principais factores destacados, enquanto as habitações são consideradas antigas e com más condições estruturais e de acesso. De uma forma geral, estes idosos consideram-se pouco reconhecidos e desrespeitados pelos mais jovens e deparam-se com grandes dificuldades no acesso a actividades laborais e de voluntariado.
Resumo:
O trabalho descrito no presente documento reporta a preparação de derivados tetrapirrólicos iodados de tipo porfirina tornando-os potenciais veÃculos a meio de contraste iodado, usado em radiodiagnóstico. Com os resultados deste trabalho irá ser realizado um pedido de patente das moléculas e portanto, o acesso a este trabalho será restrito nos termos do Código da Propriedade Industrial, aprovado pelo Decreto de Lei nº 36/2003 de 5 de Março. Na primeira fase do trabalho, foi sintetizado o derivado porfirÃnico simétrico, meso-substituÃdo, contendo um total de 8 iodos. Este foi preparado por condensação do pirrol e do aldeÃdo iodado em meio ácido e na presença de nitrobenzeno. Foram ainda preparados as respetivas metaloporfirinas contendo os iões metálicos de manganês e gadolÃnio. Posteriormente foi avaliada a capacidade destes derivados atenuarem o feixe de raio-X, através da mediação das Unidades de Hounsfield, após serem adquiridas imagens por Tomografia Computorizada. Na segunda fase do trabalho procedeu-se ao estudo da influência destes compostos na diferenciação celular, usando como modelo as células de pré-adipócitos 3T3-L1. Foi avaliada a diferenciação celular, através da quantificação de lÃpidos das células maduras, marcados com Red Oil O, por espectrofotometria de VisÃvel 3 e 10 dias após a administração dos derivados em estudo.
Resumo:
The use of distributed energy resources, based on natural intermittent power sources, like wind generation, in power systems imposes the development of new adequate operation management and control methodologies. A short-term Energy Resource Management (ERM) methodology performed in two phases is proposed in this paper. The first one addresses the day-ahead ERM scheduling and the second one deals with the five-minute ahead ERM scheduling. The ERM scheduling is a complex optimization problem due to the high quantity of variables and constraints. In this paper the main goal is to minimize the operation costs from the point of view of a virtual power player that manages the network and the existing resources. The optimization problem is solved by a deterministic mixedinteger non-linear programming approach. A case study considering a distribution network with 33 bus, 66 distributed generation, 32 loads with demand response contracts and 7 storage units and 1000 electric vehicles has been implemented in a simulator developed in the field of the presented work, in order to validate the proposed short-term ERM methodology considering the dynamic power system behavior.
Resumo:
The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period. To support network operator actions, the amount of demand response usage can be estimated using data mining techniques applied to a database containing a large set of operation scenarios. The paper includes a case study based on simulated operation scenarios that consider different operation conditions, e.g. available renewable generation, and considering a diversity of distributed resources and electric vehicles with vehicle-to-grid capacity and demand response capacity in a 33 bus distribution network.
Resumo:
This paper presents an integrated system for vehicle classification. This system aims to classify vehicles using different approaches: 1) based on the height of the first axle and_the number of axles; 2) based on volumetric measurements and; 3) based on features extracted from the captured image of the vehicle. The system uses a laser sensor for measurements and a set of image analysis algorithms to compute some visual features. By combining different classification methods, it is shown that the system improves its accuracy and robustness, enabling its usage in more difficult environments satisfying the proposed requirements established by the Portuguese motorway contractor BRISA.
Resumo:
This study explores a large set of OC and EC measurements in PM(10) and PM(2.5) aerosol samples, undertaken with a long term constant analytical methodology, to evaluate the capability of the OC/EC minimum ratio to represent the ratio between the OC and EC aerosol components resulting from fossil fuel combustion (OC(ff)/EC(ff)). The data set covers a wide geographical area in Europe, but with a particular focus upon Portugal, Spain and the United Kingdom, and includes a great variety of sites: urban (background, kerbside and tunnel), industrial, rural and remote. The highest minimum ratios were found in samples from remote and rural sites. Urban background sites have shown spatially and temporally consistent minimum ratios, of around 1.0 for PM(10) and 0.7 for PM(2.5).The consistency of results has suggested that the method could be used as a tool to derive the ratio between OC and EC from fossil fuel combustion and consequently to differentiate OC from primary and secondary sources. To explore this capability, OC and EC measurements were performed in a busy roadway tunnel in central Lisbon. The OC/EC ratio, which reflected the composition of vehicle combustion emissions, was in the range of 03-0.4. Ratios of OC/EC in roadside increment air (roadside minus urban background) in Birmingham, UK also lie within the range 03-0.4. Additional measurements were performed under heavy traffic conditions at two double kerbside sites located in the centre of Lisbon and Madrid. The OC/EC minimum ratios observed at both sites were found to be between those of the tunnel and those of urban background air, suggesting that minimum values commonly obtained for this parameter in open urban atmospheres over-predict the direct emissions of OC(ff) from road transport. Possible reasons for this discrepancy are explored. (C) 2011 Elsevier Ltd. All rights reserved.
Resumo:
This paper addresses the problem of energy resources management using modern metaheuristics approaches, namely Particle Swarm Optimization (PSO), New Particle Swarm Optimization (NPSO) and Evolutionary Particle Swarm Optimization (EPSO). The addressed problem in this research paper is intended for aggregators’ use operating in a smart grid context, dealing with Distributed Generation (DG), and gridable vehicles intelligently managed on a multi-period basis according to its users’ profiles and requirements. The aggregator can also purchase additional energy from external suppliers. The paper includes a case study considering a 30 kV distribution network with one substation, 180 buses and 90 load points. The distribution network in the case study considers intense penetration of DG, including 116 units from several technologies, and one external supplier. A scenario of 6000 EVs for the given network is simulated during 24 periods, corresponding to one day. The results of the application of the PSO approaches to this case study are discussed deep in the paper.
Resumo:
The spread and globalization of distributed generation (DG) in recent years has should highly influence the changes that occur in Electricity Markets (EMs). DG has brought a large number of new players to take action in the EMs, therefore increasing the complexity of these markets. Simulation based on multi-agent systems appears as a good way of analyzing players’ behavior and interactions, especially in a coalition perspective, and the effects these players have on the markets. MASCEM – Multi-Agent System for Competitive Electricity Markets was created to permit the study of the market operation with several different players and market mechanisms. MASGriP – Multi-Agent Smart Grid Platform is being developed to facilitate the simulation of micro grid (MG) and smart grid (SG) concepts with multiple different scenarios. This paper presents an intelligent management method for MG and SG. The simulation of different methods of control provides an advantage in comparing different possible approaches to respond to market events. Players utilize electric vehicles’ batteries and participate in Demand Response (DR) contracts, taking advantage on the best opportunities brought by the use of all resources, to improve their actions in response to MG and/or SG requests.
Resumo:
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.
Resumo:
The smart grid concept appears as a suitable solution to guarantee the power system operation in the new electricity paradigm with electricity markets and integration of large amounts of Distributed Energy Resources (DERs). Virtual Power Player (VPP) will have a significant importance in the management of a smart grid. In the context of this new paradigm, Electric Vehicles (EVs) rise as a good available resource to be used as a DER by a VPP. This paper presents the application of the Simulated Annealing (SA) technique to solve the Energy Resource Management (ERM) of a VPP. It is also presented a new heuristic approach to intelligently handle the charge and discharge of the EVs. This heuristic process is incorporated in the SA technique, in order to improve the results of the ERM. The case study shows the results of the ERM for a 33-bus distribution network with three different EVs penetration levels, i. e., with 1000, 2000 and 3000 EVs. The results of the proposed adaptation of the SA technique are compared with a previous SA version and a deterministic technique.
Resumo:
This paper proposes an energy resources management methodology based on three distinct time horizons: day-ahead scheduling, hour-ahead scheduling, and real-time scheduling. In each scheduling process it is necessary the update of generation and consumption operation and of the storage and electric vehicles storage status. Besides the new operation condition, it is important more accurate forecast values of wind generation and of consumption using results of in short-term and very short-term methods. A case study considering a distribution network with intensive use of distributed generation and electric vehicles is presented.