983 resultados para Dominion Power Company


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Smart Grids are becoming a reality all over the world. Nowadays, the research efforts for the introduction and deployment of these grids are mainly focused on the development of the field of Smart Metering. This emerging application requires the use of technologies to access the significant number of points of supply (PoS) existing in the grid, covering the Low Voltage (LV) segment with the lowest possible costs. Power Line Communications (PLC) have been extensively used in electricity grids for a variety of purposes and, of late, have been the focus of renewed interest. PLC are really well suited for quick and inexpensive pervasive deployments. However, no LV grid is the same in any electricity company (utility), and the particularities of each grid evolution, architecture, circumstances and materials, makes it a challenge to deploy Smart Metering networks with PLC technologies, with the Smart Grid as an ultimate goal. This paper covers the evolution of Smart Metering networks, together with the evolution of PLC technologies until both worlds have converged to project PLC-enabled Smart Metering networks towards Smart Grid. This paper develops guidelines over a set of strategic aspects of PLC Smart Metering network deployment based on the knowledge gathered on real field; and introduces the future challenges of these networks in their evolution towards the Smart Grid.

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A new methodology is proposed in this paper to predict the lowest power consumption for a double-tube-socket (DTS) pneumatic conveying system. This methodology is established on both experimental work and numerical simulation. After parametric studies by numerical simulation, the desired conveying cases which have the lowest power consumption were obtained. Finally those cases were carried out in our experimental system. The measured power consumption was close to that predicted. In this paper the experimental work is discussed and the numerical simulation introduced. (c) 2010 Elsevier B.V. All rights reserved.

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This dissertation applies a variety of quantitative methods to electricity and carbon market data, utility company accounts data, capital and operating costs to analyse some of the challenges associated with investment in energy assets. In particular, three distinct research topics are analysed within this general theme: the efficiency of interconnector trading, the optimal sizing of intermittent wind facilities and the impact of carbon pricing on the cost of capital for investors are researched in successive sections.

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Power systems are planed and operated according to the optimization of the available resources. Traditionally these tasks were mostly undertaken in a centralized way which is no longer adequate in a competitive environment. Demand response can play a very relevant role in this context but adequate tools to negotiate this kind of resources are required. This paper presents an approach to deal with these issues, by using a multi-agent simulator able to model demand side players and simulate their strategic behavior. The paper includes an illustrative case study that considers an incident situation. The distribution company is able to reduce load curtailment due to load flexibility contracts previously established with demand side players.

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The lithograph, "General view of lands, tunnel and docks of Niagara River Hydraulic Tunnel, Power and Sewer Company," called for p. [4] in the Index, has been removed and encapsulated, and is shelved separately.

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On February 29, 1912 The Ontario Paper Company Limited was incorporated under the leadership of Col. Robert R. McCormick. Four months later construction began in Thorold, Ontario as this location was best for the abundance of power and water and water transportation. The first machine was started at the mill on September 5, 1913. The mill was one of the most advanced of its era, using electricity instead of water power. The mill was also the first of its kind as it combined pulp and paper making instead of separating the two operations.

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The Q.N.S. [Quebec North Shore Paper Company] newsprint mill started in 1937 at Baie Comeau in Quebec. Being the first major industry in that area at the time, harbour facilities, a power station and an entire community was built around the mill. In 1952, a power station was built at the first falls of the Manicouagan River. The station generated much more power than necessary for the mill, but attracted an aluminum smelter a few years later in 1958.

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The Electrical Development Company of Ontario was created in 1903. It was one of three private power companies that had water power leases with the Niagara Parks Commission, but was the only one that was financed with Canadian capital. The company built the Toronto Power Generating Station at Niagara Falls beginning in 1906, and the power house was completed in 1913. During the construction, there was much debate about whether the utility should remain privately operated or become a public utility. In 1920, the company became part of the public utility.

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Fourth Annual Report of The Electrical Development Company of Ontario Limited for for the year 1906. The report discusses the main line between Niagara Falls and Toronto and the line between the Township of Pelham and the city of Brantford. The report also details the purchase of stocks and bonds in several different companies.

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A booklet of rules and regulations for industrial alcohol. A portion of the preparatory note reads: "We endeavoured to bring together in this booklet as much information as possible regarding the Dominion and Provincial rules and regulations at present in force controlling the sale and use of Alcohol for manufacturing, etc."

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Telegram from Montreal and Dominion Telegraph Companies’ Lines to Louis Cabot stating that Mr. Woodruff has arranged to transfer the shares, Jan. 18, 1886.

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Telegram from Montreal and Dominion Telegraph Companies’ Lines form with a note on it saying “will wait for receipt”[ no sender nor receiver listed, most likely Louis Cabot to Samuel D. Woodruff], 1886.

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Short term load forecasting is one of the key inputs to optimize the management of power system. Almost 60-65% of revenue expenditure of a distribution company is against power purchase. Cost of power depends on source of power. Hence any optimization strategy involves optimization in scheduling power from various sources. As the scheduling involves many technical and commercial considerations and constraints, the efficiency in scheduling depends on the accuracy of load forecast. Load forecasting is a topic much visited in research world and a number of papers using different techniques are already presented. The accuracy of forecast for the purpose of merit order dispatch decisions depends on the extent of the permissible variation in generation limits. For a system with low load factor, the peak and the off peak trough are prominent and the forecast should be able to identify these points to more accuracy rather than minimizing the error in the energy content. In this paper an attempt is made to apply Artificial Neural Network (ANN) with supervised learning based approach to make short term load forecasting for a power system with comparatively low load factor. Such power systems are usual in tropical areas with concentrated rainy season for a considerable period of the year

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With the advance of information technology capabilities, and the importance of human computer interfaces within society there has been a significant increase in research activity within the field of human computer interaction (HCI). This paper summarizes some of the work undertaken to date, paying particular attention to methods applicable to on-line control and monitoring systems such as those employed by The National Grid Company plc.