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Showing papers on "Stand-alone power system published in 1986"


Proceedings ArticleDOI
01 Oct 1986
TL;DR: In this article, a storage battery for use in telecommunication systems which are run by solar energy is described. But this battery has all the advantages of an open lead acid battery but requires a minimum of maintenance only.
Abstract: This paper describes a storage battery for use in telecommunication systems which are run by solar energy. Important demands on such an energy storage will be explained and a battery system will be presented that fulfills this criteria. This battery has all the advantages of an open lead acid battery but requires a minimum of maintenance only.

6 citations


Journal ArticleDOI
01 May 1986
TL;DR: In this article, the characteristics of diesel generation plant and the role of diesel power generation in the context of bulk supply of electricity are discussed and the specific operational and maintenance aspects of diesel generator are presented and the need for the development of aids to routine maintenance are discussed.
Abstract: The paper describes the characteristics of diesel generation plant and discusses the role of diesel generation in the context of bulk supply of electricity. The specific operational and maintenance aspects of diesel generation are presented and the need for the development of aids to routine maintenance are discussed. One technique for monitoring the performance of diesel plant is described and results are given from tests carried out in Stornoway power station on the island of Lewis.

2 citations


Proceedings ArticleDOI
01 Oct 1986
TL;DR: In this paper, three different load models are evaluated in the context of designing a solar energy system for supplying power to remote communications centers, where the loss of power supply probability is used as a measure of performance.
Abstract: Three different load models are evaluated in the context of designing a solar energy system for supplying power to remote communications centers. The loss of power supply probability is used as a measure of performance. The load models range in sophistication from a typical load profile for a communications center based on recorded data to a simple model consisting of just two parameters, namely the maximum and minimum load demands. It is found that the simpler load models are good substitutes for the more sophisticated load model from the design view point. Also, the final design values, based on the loss of power supply probability approach, for a typical solar energy conversion system with energy storage supplying power to a remote communications center are given. The results and discussion presented should be useful to designers of solar energy conversion systems with energy storage.

2 citations


Proceedings ArticleDOI
08 Jun 1986
TL;DR: In this article, the features of a Space-based Solar Energy Power Plant for electric power generation with a closed cycle gas turbine running on Helium are discussed, intended for generating both electricity and process heat for industrial manufacturing processes in a large space station.
Abstract: The features of a Space-based Solar Energy Power Plant for electric power generation with a closed cycle gas turbine running on Helium are discussed. The system is intended for generating both electricity and process heat for industrial manufacturing processes in a large space station. A system overview for operation and control of such a plant is presented.Copyright © 1986 by ASME

2 citations


Journal ArticleDOI
TL;DR: In this paper, a computer simulation model was developed to study the short-run value of electricity that is generated by private entities and offered for sale to the electric utilities, and the model determined how a set of generation units at different locations can be dispatched in the most economic way to meet a certain electric demand.
Abstract: The Public Utilities Regulatory Policies Act (PURPA) of 1978 and the associated rulings of the Federal Energy Regulatory Commission (FERC) obligate the electric utilities to purchase electricity generated by qualifying facilities at the utility's avoided cost of alternative energy. They include no further indication of how this cost should be calculated and leave the actual implementation to the state's regulatory authorities. In this work, a computer simulation model was developed to study the short-run value of electricity that is generated by private entities and offered for sale to the electric utilities. Using the production simulation theory, the model determines how a set of generation units at different locations can be dispatched in the most economic way to meet a certain electric demand. The model then calculates the short-run value of nonutility-generated electricity by assuming the variable operational costs of electricity production will remain unchanged for any penetration of nonutility power. Several penetration scenarios were simulated using a hypothetical utility case. The short-run value of nonutility-generated electricity was found to increase with increased penetrations up to a maximum level before it starts decreasing as a result of the displacement of intermediate and base load capacity. Moreover, neither of the utility's marginal fuel costs calculated before and after the inclusion of the nonutility resources in the utility generation mix proved to capture the short-run value of the nonutility-generated electricity.

1 citations


01 Jan 1986
TL;DR: In this article, a simple energy demand model for the United States is developed, where goods and services are produced using three factors: fuel, electricity, and capital-labor.
Abstract: A simple energy demand model for the United States has been developed. In the model, goods and services are produced using three factors: fuel, electricity, and capital-labor. Fuel and electricity are not perfect substitutes. The tradeoff between fuel and electricity is simulated by using a production function to produce energy from inputs of fuel and electricity. Energy conservation, the tradeoff between energy and capital-labor, is simulated by using a production function to produce goods and services from inputs of energy and capital-labor. The model has four parameters and a lifetime for capital stock. The parameters were estimated using data from 1960 to 1982 for values for the lifetime ranging from four years to 30 years. The errors are small when the lifetime is greater than 14 years. Energy demand forecasts were made for two sets of fuel prices: high and low. For the high fuel prices case, the model forecasts a steady decline in the demand for fuel. For the low fuel price case, the demand for fuel declines and then rises; by 2010, the demand for fuel is slightly larger than the demand in 1979. For both sets of fuel prices, the demand for electricity grows substantially.