931 resultados para internal market in electricity


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Internal browning is an important disorder in pear fruit which can lead to economic losses. Pears (Pyrus communis L. cv. Bartlett) were harvested at early harvest maturity of 90 N from a commercial orchard in southern Brazil. Methyl jasmonate, ethanol, and 1-methylcyclopropene vapor treatments were carried out for 24 hours in order to mitigate the internal browning disorder. Fruit were stored for up to 150 days at 0 ± 1 °C and 90 ± 5 % RH. Pears exhibited internal browning in 37 % of the control samples after 90 days of cold storage. However, no internal browning symptoms were observed in the 1-MCP treatment. The first symptoms in 1-MCP samples were noticed after 120 days of cold storage (12 %) and reached 100 % in five days at room temperature. 1-MCP-treated pears showed flesh firmness values of 82 N after 90 days of cold storage and 18.7 N when they were removed from the cold storage and kept at 20 °C. The greatest acceptance index was attributed to 1- MCP pears after 90 days at 0 ± 1 °C followed by 5 days at 20 ± 1 °C (89.35). High acceptance indexes were attributed to MeJa (77.95) and control pears (76.40) after 30 days in cold storage followed by 5 days at room temperature. 1-MCP (0.3 µL L-1 , 24 hours at 0 ± 1 °C) treatment delays ripening and mitigates the internal browning in early harvested ?Bartlett? pears, that can be stored for up to 90 days at 0 ± 1 °C.

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L'Accord sur le commerce intérieur est un accord de libre-échange pancanadien visant l'abaissement des barrières non tarifiaires au commerce interprovincial. La notion de barrières au commerce interprovincial, en soi, suscite maintes controverses. Aucun consensus n'existe à savoir quelles sont les barrières au commerce, quelles en sont leurs coûts, mais surtout, s'il faut les abaisser. La grande majorité des experts concoivent que beaucoup de ces barrières non tarifaires au commerce se retrouvent dans le secteur des produits agroalimentaires. À ce titre, ce domaine est, depuis plusieurs décennies, traditionnellement protectionniste et constitue donc un marché des plus difficiles à intégrer. Cette réalité prévaut tant au niveau international qu'interprovincial. Au Canada, l'outil privilégié après des années de négociations constitutionnelles infructueuses fut l'Accord sur le commerce intérieur. Cet accord, aux allures de traité international, vise l'intégration graduelle du marché interne canadien. La volonté de devenir un marché intégré et compétitif au niveau mondial se heurte à la détermination des provinces de protéger leur souveraineté législative. Ainsi, l'outil d'ouverture du marché que constitue l'Accord sur le commerce intérieur, qui navigue entre ces positions antagonistes, fut rédigé de manière assez complexe et peu accessible. Le contexte politique et constitutionnel particulier dans lequel se sont inscrites les négociations de cet accord a ainsi teinté le texte de l'accord et sa rédaction. En plus de sa simplification, plusieurs solutions intervenant sous plusieurs facettes de l'Accord sur le commerce intérieur permettraient à ce dernier de se voir plus efficace dans sa mission d'intégration du marché interprovincial canadien, en plus d'augmenter sa notoriété, sa crédibilité et de permettre une meilleure mise en œuvre.

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Este trabalho tem como intuito propor um modelo de inovação para a indústria da moda feminina. O modelo visa compreender o comportamento de estilos e tendências determinados e difundidos pelas empresas. A construção deste modelo é justificada pela contribuição que um estudo sobre inovação pode proporcionar à indústria da moda, a qual enfrenta baixos padrões de competitividade no mercado externo e interno. Além disso, embora existam muitos artigos sobre o assunto, poucos foram os modelos de inovação para a indústria da moda encontrados por esta pesquisa. Uma avaliação destes modelos indicou que existe espaço para a proposta de um modelo que aborde o comportamento de estilos e tendências ao longo do tempo. A estrutura de composição do modelo é sustentada por três pilares conceituais: teoria econômica neoschumpeteriana, modelos de inovação e modelos de inovação para a indústria da moda. A característica central do modelo é avaliar se existem estilos que permanecem em moda de maneira contínua ou descontínua. Como existe similaridade conceitual entre os estilos, no que se refere à identidade de gênero (androginia e feminilidade), foi efetuada uma aglutinação de alguns estilos dentro desta denominação. Nem todos os estilos se encaixaram nesta classificação. Então, estes estilos foram denominados como neutros. Como a pesquisa tem abordagem fenomenológica, qualitativa e longitudinal, foi adotada a metodologia hipotética dedutiva para a construção do modelo. Para verificação da validade das hipóteses foi usada uma análise exploratória dos dados por meio de estatística descritiva e decomposição da estrutura de variabilidade através de uma análise de componentes principais (PCA). Ambas as análises forneceram evidências a respeito das hipóteses em questão, as quais também foram testadas através de um teste binomial e de uma análise de variância multivariada por meio de permutações. Os resultados comprovaram que existem estilos que permanecem em moda de maneira contínua e que existem períodos de polarização das aglutinações de estilo.

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On the face of it, the €315 billion euro in additional investment announced by Juncker to kickstart Europe’s economy should make a material difference. But, explains Daniel Gros, without actually having any margin of manoeuvre in the EU budget there cannot be any financing for new investment and there cannot be any real growth impulse. The European Commission should have made the completion of the internal market, in particular the integration of Europe’s energy markets, a precondition for any new investment plan.

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In the EU circuit (especially the European Parliament, the Council and Coreper) as well as in national parliaments of the EU Member States, one observes a powerful tendency to regard 'subsidiarity' as a 'political' issue. Moreover, subsidiarity is frequently seen as a one-way street : powers going 'back to' Member States. Both interpretations are at least partly flawed and less than helpful when looking for practical ways to deal with subsidiarity at both EU and Member states' levels. The present paper shows that subsidiarity as a principle is profoundly 'functional' in nature and, hence, is and must be a two-way principle. A functional subsidiarity test is developed and its application is illustrated for a range of policy issues in the internal market in its widest sense, for equity and for macro-economic stabilisation questions in European integration. Misapplications of 'subsidiarity' are also demonstrated. For a good understanding, subsidiarity being a functional, two-way principle neither means that elected politicians should not have the final (political!) say (for which they are accountable), nor that subsidiarity tests, even if properly conducted, cannot and will not be politicised once the results enter the policy debate. Such politicisation forms a natural run-up to the decision-making by those elected for it. But the quality and reasoning of the test as well as structuring the information in a logical sequence ( in accordance with the current protocol and with the one in the constitutional treaty) is likely to be directly helpful for decisionmakers, confronted with complicated and often specialised proposals. EU debates and decision-making is therefore best served by separating the functional subsidiarity test (prepared by independent professionals) from the final political decision itself. If the test were accepted Union-wide, it would also assist national parliaments in conducting comparable tests in a relatively short period, as the basis for possible joint action (as suggested by the constitutional treaty). The core of the paper explains how the test is formulated and applied. A functional approach to subsidiarity in the framework of European representative democracy seeks to find the optimal assignment of regulatory or policy competences to the various tiers of government. In the final analysis, this is about structures facilitating the highest possible welfare in the Union, in the fundamental sense that preferences and needs are best satisfied. What is required for such an analysis is no less than a systematic cost/benefit framework to assess the (de)merits of (de)centralisation in the EU.

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O processo da Internacionalização pode ser definido como a execução de operações no estrangeiro conducentes a movimentos de fatores de produção de um país para outro. A globalização dos mercados e a frequente instabilidade da realidade macroeconómica do mercado interno, em concomitância com a sua reduzida dimensão, têm levado a que muitas empresas portuguesas iniciem uma política de expansão internacional. De facto, a exploração de mercados internacionais revelou-se, do ponto de vista das empresas, crucial no sentido de contornar os constrangimentos decorrentes de um mercado interno restrito e cada vez mais saturado. No entanto, a decisão da companhia em internacionalizar, requer do respetivo decisor de topo uma análise cuidada de toda a informação relativa ao processo de internacionalização, incluindo a escolha dos mercados, as estratégias, formas de entrada e os obstáculos. Neste relatório, depois de sistematizar o conhecimento relacionado com a internacionalização, é efetuada uma aplicação deste conhecimento num caso de estudo relacionado com uma empresas portuguesa que presta serviços na área das tecnologias de informação e comunicação e que se tenciona expandir para mercados no estrangeiro.

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With the restructuring of the energy sector in industrialized countries there is an increased complexity in market players’ interactions along with emerging problems and new issues to be addressed. Decision support tools that facilitate the study and understanding of these markets are extremely useful to provide players with competitive advantage. In this context arises MASCEM, a multi-agent simulator for competitive electricity markets. It is essential to reinforce MASCEM with the ability to recreate electricity markets reality in the fullest possible extent, making it able to simulate as many types of markets models and players as possible. This paper presents the development of the Balancing Market in MASCEM. A key module to the study of competitive electricity markets, as it has well defined and distinct characteristics previously implemented.

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The restructuring that the energy sector has suffered in industrialized countries originated a greater complexity in market players’ interactions, and thus new problems and issues to be addressed. Decision support tools that facilitate the study and understanding of these markets become extremely useful to provide players with competitive advantage. In this context arises MASCEM, a multi-agent system for simulating competitive electricity markets. To provide MASCEM with the capacity to recreate the electricity markets reality in the fullest possible extent, it is essential to make it able to simulate as many market models and player types as possible. This paper presents the development of the Complex Market in MASCEM. This module is fundamental to study competitive electricity markets, as it exhibits different characteristics from the already implemented market types.

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The integration of large amounts of wind energy in power systems raises important operation issues such as the balance between power demand and generation. The pumped storage hydro (PSH) units are seen as one solution for this issue, avoiding the need for wind power curtailments. However, the behavior of a PSH unit might differ considerably when it operates in a liberalized market with some degree of market power. In this regard, a new approach for the optimal daily scheduling of a PSH unit in the day-ahead electricity market was developed and presented in this paper, in which the market power is modeled by a residual inverse demand function with a variable elasticity. The results obtained show that increasing degrees of market power of the PSH unit correspond to decreasing levels of storage and, therefore, the capacity to integrate wind power is considerably reduced under these circumstances.

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Price forecast is a matter of concern for all participants in electricity markets, from suppliers to consumers through policy makers, which are interested in the accurate forecast of day-ahead electricity prices either for better decisions making or for an improved evaluation of the effectiveness of market rules and structure. This paper describes a methodology to forecast market prices in an electricity market using an ARIMA model applied to the conjectural variations of the firms acting in an electricity market. This methodology is applied to the Iberian electricity market to forecast market prices in the 24 hours of a working day. The methodology was then compared with two other methodologies, one called naive and the other a direct forecast of market prices using also an ARIMA model. Results show that the conjectural variations price forecast performs better than the naive and that it performs slightly better than the direct price forecast.

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Electricity Markets are not only a new reality but an evolving one as the involved players and rules change at a relatively high rate. Multi-agent simulation combined with Artificial Intelligence techniques may result in very helpful sophisticated tools. This paper presents a new methodology for the management of coalitions in electricity markets. This approach is tested using the multi-agent market simulator MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), taking advantage of its ability to provide the means to model and simulate Virtual Power Players (VPP). VPPs are represented as coalitions of agents, with the capability of negotiating both in the market and internally, with their members in order to combine and manage their individual specific characteristics and goals, with the strategy and objectives of the VPP itself. A case study using real data from the Iberian Electricity Market is performed to validate and illustrate the proposed approach.

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The energy sector in industrialized countries has been restructured in the last years, with the purpose of decreasing electricity prices through the increase in competition, and facilitating the integration of distributed energy resources. However, the restructuring process increased the complexity in market players' interactions and generated emerging problems and new issues to be addressed. In order to provide players with competitive advantage in the market, decision support tools that facilitate the study and understanding of these markets become extremely useful. In this context arises MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), a multi-agent based simulator that models real electricity markets. To reinforce MASCEM with the capability of recreating the electricity markets reality in the fullest possible extent, it is crucial to make it able to simulate as many market models and player types as possible. This paper presents a new negotiation model implemented in MASCEM based on the negotiation model used in day-ahead market (Elspot) of Nord Pool. This is a key module to study competitive electricity markets, as it presents well defined and distinct characteristics from the already implemented markets, and it is a reference electricity market in Europe (the one with the larger amount of traded power).

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If electricity users adjusted their consumption patterns according to time-variable electricity prices or other signals about the state of the power system, generation and network assets could be used more efficiently, and matching intermittent renewable power generation with electricity demand would be facilitated. This kind of adjustment of electricity consumption, or demand response, may be based on consumers’ decisions to shift or reduce electricity use in response to time-variable electricity prices or on the remote control of consumers’ electric appliances. However, while demand response is suggested as a solution to many issues in power systems, actual experiences from demand response programs with residential customers are mainly limited to short pilots with a small number of voluntary participants, and information about what kinds of changes consumers are willing and able to make and what motivates these changes is scarce. This doctoral dissertation contributes to the knowledge about what kinds of factors impact on residential consumers’ willingness and ability to take part in demand response. Saving opportunities calculated with actual price data from the Finnish retail electricity market are compared with the occurred supplier switching to generate a first estimate about how large savings could trigger action also in the case of demand response. Residential consumers’ motives to participate in demand response are also studied by a web-based survey with 2103 responses. Further, experiences of households with electricity consumption monitoring systems are discussed to increase knowledge about consumers’ interest in getting more information on their electricity use and adjusting their behavior based on it. Impacts of information on willingness to participate in demand response programs are also approached by a survey for experts of their willingness to engage in demand response activities. Residential customers seem ready to allow remote control of electric appliances that does not require changes in their everyday routines. Based on residents’ own activity, the electricity consuming activities that are considered shiftable are very limited. In both cases, the savings in electricity costs required to allow remote control or to engage in demand response activities are relatively high. Nonmonetary incentives appeal to fewer households.

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Electricity market price forecast is a changeling yet very important task for electricity market managers and participants. Due to the complexity and uncertainties in the power grid, electricity prices are highly volatile and normally carry with spikes. which may be (ens or even hundreds of times higher than the normal price. Such electricity spikes are very difficult to be predicted. So far. most of the research on electricity price forecast is based on the normal range electricity prices. This paper proposes a data mining based electricity price forecast framework, which can predict the normal price as well as the price spikes. The normal price can be, predicted by a previously proposed wavelet and neural network based forecast model, while the spikes are forecasted based on a data mining approach. This paper focuses on the spike prediction and explores the reasons for price spikes based on the measurement of a proposed composite supply-demand balance index (SDI) and relative demand index (RDI). These indices are able to reflect the relationship among electricity demand, electricity supply and electricity reserve capacity. The proposed model is based on a mining database including market clearing price, trading hour. electricity), demand, electricity supply and reserve. Bayesian classification and similarity searching techniques are used to mine the database to find out the internal relationships between electricity price spikes and these proposed. The mining results are used to form the price spike forecast model. This proposed model is able to generate forecasted price spike, level of spike and associated forecast confidence level. The model is tested with the Queensland electricity market data with promising results. Crown Copyright (C) 2004 Published by Elsevier B.V. All rights reserved.

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Five principles for accommodating cultural nuances