Published May 1998 | Version v1
Journal article Metadata-only

The age structure of existing power plants in West Germany

Creators

  • 1. Forschungszentrum Juelich (Germany). Programmgruppe Systemforschung und Technologische Entwicklung
  • 2. Universitaet Gesamthochschule Essen (Germany). Lehrstuhl fuer oekologisch vertraegliche Energiewirtschaft

Description

In many energy forecasts and scenarios, the required capacity is derived from the future power consumption. This is covered by the existing power stations as well as the necessary additions. When estimating both parameters, the age structure of the existing power plants and their extrapolation for the future is of considerable importance. (orig.)

Abstract (German)

In vielen Energieprognosen und -szenarien wird ausgehend von einem zukuenftigen Stromverbrauch der hierfuer erforderliche Kapazitaetsbedarf abgeleitet. Dieser wird gedeckt durch bestehende Kraftwerke sowie dem notwendigen Zubau. Bei der Abschaetzung dieser Parameter spielt die Altersstruktur des bestehenden Kraftwerksbestandes und deren zukuenftige Fortschreibung eine grosse Rolle. (orig.)

Additional details

Additional titles

Original title (German)
Die Altersstruktur des westdeutschen Kraftwerksparks

Publishing Information

Journal Title
Brennstoff-Waerme-Kraft
Journal Volume
50
Journal Issue
5-6
Journal Page Range
p. 38-42
ISSN
0006-9612
CODEN
BRWKAY

INIS

Country of Publication
Germany
Country of Input or Organization
Germany
INIS RN
29041723
Subject category
S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
Descriptors DEI
AGING; CAPACITY; COMPARATIVE EVALUATIONS; DECOMMISSIONING; FEDERAL REPUBLIC OF GERMANY; FORECASTING; FOSSIL-FUEL POWER PLANTS; NOMOGRAMS; NUCLEAR POWER PLANTS; PROJECTION SERIES; SERVICE LIFE; TIME-SERIES ANALYSIS
Descriptors DEC
DEVELOPED COUNTRIES; DIAGRAMS; ENERGY MODELS; EUROPE; EVALUATION; FORECASTING; INFORMATION; LIFETIME; MATHEMATICS; NUCLEAR FACILITIES; POWER PLANTS; STATISTICS; THERMAL POWER PLANTS; WESTERN EUROPE
Proposed descriptors and Free-text terms
classification