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Strategic planning and the importance of the use of spatial information: an approach in the energy segment; Planejamento estrategico e a importancia do emprego de informacao espacial: uma abordagem no segmento de energia

Abstract

In the enterprise environment to establish the some scenes of performance and later the strategical plans is imperative and vital. For the companies in the energy segments this is aggravated because the development of the production needs a complex financing project of that has as premise the use of intensive capital and biggest time of capital returns, hindering the capital assessment in function of the associated risks. Specifically, in this segment it is of great importance to establish the energy consumption and consequently the planning to energy generation, because this way the enterprises risks are mitigated. In this way, to collect, to manipulate and to store the data of the energy resources and on the generation of energy, and your spatial distribution allows to infer, with certain degree of precision, in the possible economic arrangements and planning activity, respecting the regional energy aptitudes; as well as, it also allows to evaluate the competitive advantages front at the inherent costs to the transport and implantation of the productive chain of the energy ones. Especially not to use the spatial information, associated with advanced techniques of scientific modeling or of spatial analysis, in the composition of the forecast energy demand models of  More>>
Authors:
Castro, Jorge Henrique de [1] 
  1. Petroleo Brasileiro SA. (PETROBRAS), Rio de Janeiro, RJ (Brazil). Unidade de Gas e Energia
Publication Date:
Jul 01, 2008
Product Type:
Conference
Report Number:
ETDE-BR-1564
Resource Relation:
Conference: 6. CBPE: Brazilian congress on energy planning. Energy and environment, 6. CBPE: Congresso brasileiro de planejamento energetico. Energia e meio ambiente, Salvador, BA (Brazil), 28-30 May 2008; Related Information: In: Proceedings of the 6. CBPE: Brazilian congress on energy planning. Energy and environment, Anais do 6. CBPE: Congresso brasileiro de planejamento energetico. Energia e meio ambiente, 1327 pages.
Subject:
29 ENERGY PLANNING, POLICY AND ECONOMY; ENERGY DEMAND; ENERGY CONSUMPTION; POWER GENERATION; ELECTRIC POWER; PLANNING; FORECASTING; POPULATIONS; GROSS DOMESTIC PRODUCT; GEOGRAPHIC INFORMATION SYSTEMS; HOT SPOTS
OSTI ID:
21338845
Research Organizations:
Sociedade Brasileira de Planejamento Energetico (SBPE), Rio de Janeiro, RJ (Brazil)
Country of Origin:
Brazil
Language:
Portuguese
Other Identifying Numbers:
TRN: BR1003842
Availability:
Commercial reproduction prohibited; OSTI as DE21338234; www.osti.gov/servlets/purl/21338234-dDc5e0/
Submitting Site:
BR
Size:
page(s) 15
Announcement Date:
Dec 20, 2012

Citation Formats

Castro, Jorge Henrique de. Strategic planning and the importance of the use of spatial information: an approach in the energy segment; Planejamento estrategico e a importancia do emprego de informacao espacial: uma abordagem no segmento de energia. Brazil: N. p., 2008. Web.
Castro, Jorge Henrique de. Strategic planning and the importance of the use of spatial information: an approach in the energy segment; Planejamento estrategico e a importancia do emprego de informacao espacial: uma abordagem no segmento de energia. Brazil.
Castro, Jorge Henrique de. 2008. "Strategic planning and the importance of the use of spatial information: an approach in the energy segment; Planejamento estrategico e a importancia do emprego de informacao espacial: uma abordagem no segmento de energia." Brazil.
@misc{etde_21338845,
title = {Strategic planning and the importance of the use of spatial information: an approach in the energy segment; Planejamento estrategico e a importancia do emprego de informacao espacial: uma abordagem no segmento de energia}
author = {Castro, Jorge Henrique de}
abstractNote = {In the enterprise environment to establish the some scenes of performance and later the strategical plans is imperative and vital. For the companies in the energy segments this is aggravated because the development of the production needs a complex financing project of that has as premise the use of intensive capital and biggest time of capital returns, hindering the capital assessment in function of the associated risks. Specifically, in this segment it is of great importance to establish the energy consumption and consequently the planning to energy generation, because this way the enterprises risks are mitigated. In this way, to collect, to manipulate and to store the data of the energy resources and on the generation of energy, and your spatial distribution allows to infer, with certain degree of precision, in the possible economic arrangements and planning activity, respecting the regional energy aptitudes; as well as, it also allows to evaluate the competitive advantages front at the inherent costs to the transport and implantation of the productive chain of the energy ones. Especially not to use the spatial information, associated with advanced techniques of scientific modeling or of spatial analysis, in the composition of the forecast energy demand models of it reduces the capacity to describe the decision scene. Of this case, subjects as influence of the distances among the demographic concentrations and of consumption to the points of offer, the area of the reference unit, the different growth of urban centers or industrial, beyond others, are not considered. In face of this the projection of the demand along of the territory surface is compromised in its resolution, reducing, among others, the capacity of strategical analysis. Based in the use of the spatial information and techniques of spatial analysis, up to now little maids in forecast energy demand, it is intended in this work to identify, when studying the behavior of the variables GDP and population, historically maids in the composition of such projection models, differences are existed in your behavior and relationship in function of the level of spatial abstraction. Once this is real, it is still intended to evaluate the possibility to use the technique of local spatial autocorrelation in the creation of regional projection models of GDP and of the population for subsequent use in the outline of the forecast energy demand models. (author)}
place = {Brazil}
year = {2008}
month = {Jul}
}