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In Amazonia, because the small catchments are ungauged, it is not possible to analyse them, for example, for hydroelectric power production. Thus, the objective of this paper is to study the transferability of a rainfall-runoff model to simulate flow duration curves for the production of hydroelectric power. The approach is based on the transfer of the impulse response of a model calibrated on two gauged catchments, allowing the evaluation approach permutation between these two catchments. We have, respectively, 7 years and 2 years and 2 months of rainfall and runoff data for these catchments. A sensitivity analysis of the transferability calibration to the sample size is carried out to determine the shortest flow period gauged on the receptor catchment, which produces results comparable to those calibrated with the maximum samples size. This analysis evaluates fieldwork on the ungauged sites of the region. En Amazonie, les petits bassins versants ne disposent pas de données de débit, ce qui empêche l’étude de ces bassins, par exemple, pour des fins de production d’énergie hydroélectrique. Ainsi, l’objectif de ce travail est d’étudier la transférabilité d’un modèle pluie-débit pour simuler les débits classés en vue d’une planification de la production hydroélectrique. L’approche est basée sur le transfert de la réponse impulsionnelle d’un modèle étalonné sur deux bassins jaugés permettant l’évaluation de la permutation de l’approche. Sur ces bassins test, on dispose respectivement de 7 ans et de 2 ans et 2 mois de données de pluie et de débit. L’analyse de sensibilité de l’étalonnage de la transférabilité détermine la taille minimale de la série de débits mesurés sur le bassin cible qui assure encore des résultats comparables à ceux étalonnés avec les échantillons de taille maximale de débits. Celle-ci évalue l’effort de mesures sur des sites non jaugés de la région. [ABSTRACT FROM AUTHOR]

Renewable sources used for the generation of electricity have today quite high production costs in Europe. The liberalisation of the electricity market makes their advancement still more difficult, as it is expected to exert pressures towards lower prices. There are however strong arguments supporting renewable electricity. First, it is highly recommended to preserve the non-renewable fossil natural resources. Second, the use of renewable resources reduces the emissions of CO[sub 2] considered as being the most important greenhouse gas. In Belgium the most promising renewable production source for electricity is wind energy. Suitable policies shall amplify a virtuous cycle rendering this type of production competitive with fossil sources on a short-time basis. The present paper presents a simulation with system dynamics of a supporting policy based on the creation of a green-certificate market. The objective of the study is to demonstrate the feasibility of this approach, and to provide to regulators a decision tool for properly designing the main policy parameters as necessary conditions for its success. [ABSTRACT FROM AUTHOR]

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Trigeneration is defined as the production of three useful forms of energy—heat, cold and power—from a primary source of energy such as natural gas or oil. For instance, trigeneration systems typically produce electrical power via a reciprocating engine or gas turbine and recover a large percentage of the heat energy retained in the lubricating oil, exhaust gas and coolant water systems to maximize the utilization of the primary fuel. The heat produced can be totally or partially used to fuel absorption refrigerators. Therefore, trigeneration systems enjoy an inherently high efficiency and have the potential to significantly reduce the energy-related operation costs of facilities. In this paper, we describe a model of characterization of trigeneration systems trough the condition of primary energy saving and the quality index, compared to the separate production of heat, cold and power. The study highlights the importance of the choice of the separate production reference system on the level of primary energy saving and emissions reduction. [Copyright &y& Elsevier]

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Copyright of INFOR is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)