Numerical Modeling of the Impact of a Pumped-Storage Hydroelectric Power Plant on the Reservoirs’ Thermal Stratification Structure: a Case Study in NW Spain

2017 ◽  
Vol 23 (1) ◽  
pp. 71-85 ◽  
Author(s):  
María Bermúdez ◽  
Luis Cea ◽  
Jerónimo Puertas ◽  
Nuria Rodríguez ◽  
Javier Baztán
Keyword(s):  
Numerical Modeling ◽  
Power Plant ◽  
Thermal Stratification ◽  
Hydroelectric Power Plant ◽  
Hydroelectric Power ◽  
Nw Spain ◽  
Stratification Structure ◽  
Pumped Storage ◽  
The Impact

On-line cleaning technique for mitigation of biofouling in heat exchangers: A case study of a hydroelectric power plant in Brazil

2014 ◽  
Vol 53 ◽  
pp. 197-206 ◽  
Author(s):  
M.N. Frota ◽  
E.M. Ticona ◽  
A.V. Neves ◽  
R.P. Marques ◽  
S.L. Braga ◽  
...  
Keyword(s):  
Power Plant ◽  
Heat Exchangers ◽  
Hydroelectric Power Plant ◽  
Hydroelectric Power ◽  
On Line

scholarly journals Dataset of long-term monitoring of ground-dwelling ants (Hymenoptera: Formicidae) in the influence areas of a hydroelectric power plant on the Madeira River in the Amazon Basin

2018 ◽  
Vol 6 ◽  
pp. e24375 ◽  
Author(s):  
Itanna Fernandes ◽  
Jorge de Souza
Keyword(s):  
Power Plant ◽  
Amazon Basin ◽  
Hydroelectric Power Plant ◽  
Biodiversity Loss ◽  
Hydroelectric Power ◽  
Natural Ecosystems ◽  
Influence Area ◽  
Before And After ◽  
Madeira River ◽  
The Impact

Biodiversity loss is accelerating rapidly in response to increasing human influence on the Earth’s natural ecosystems. One way to overcome this problem is by focusing on places of human interest and monitoring the changes and impacts on the biodiversity. This study was conducted at six sites within the influence area of the Santo Antônio Hydroelectric Power Plant in the margins of the Madeira River in Rondônia State. The sites cover a latitudinal gradient of approximately 100 km in the Brazilian Amazon Basin. The sampling design included six sampling modules with six plots (transects) each, totaling 30 sampling plots. The transects were distributed with 0 km, 0.5 km, 1 km, 2 km, 3 km and 4 km, measured perpendicularly from the river margin towards the interior of the forest. For sampling the ground-dwelling ants, the study used the ALL (ants of the leaf litter) protocol, which is standardized globally in the inventories of ant fauna. For the purpose of impact indicators, the first two campaigns (September 2011 to November 2011) were carried out in the pre-filling period, while campaigns 3 to 10 (February 2012 to November 2014) were carried out during and after the filling of the hydroelectric reservoir. A total of 253 events with a total of 9,165 occurrences were accounted during the monitoring. The ants were distributed in 10 subfamilies, 68 genera and 324 species/morphospecies. The impact on ant biodiversity during the periods before and after filling was measured by ecological indicators and by the presence and absence of some species/morphospecies. This is the first study, as far as we know, including taxonomic and ecological treatment to monitor the impact of a hydroelectric power plant on ant fauna. Until recently, most studies conducted on hydroelectric plants, located in the Amazon Basin, were carried out after the implementation of dams in order to assess their impacts on the environment and biodiversity (Benchimol and Peres 2015, Latrubesse et al. 2017, Sá-Oliveira et al. 2015). Recent studies on dam impacts have begun to be conducted prior to dam implementation (e.g. Bobrowiec and Tavares 2017, Fraga et al. 2014, Moser et al. 2014), thus providing a better overview of the impact and a better assessment of its magnitude.

scholarly journals A Data-Driven Approach to Extend Failure Analysis: A Framework Development and a Case Study on a Hydroelectric Power Plant

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6400
Author(s):  
Sara Antomarioni ◽  
Marjorie Maria Bellinello ◽  
Maurizio Bevilacqua ◽  
Filippo Emanuele Ciarapica ◽  
Renan Favarão da Silva ◽  
...  
Keyword(s):  
Power Plant ◽  
Failure Analysis ◽  
Power Plants ◽  
Failure Modes ◽  
Real Life ◽  
Hydroelectric Power Plant ◽  
Data Driven ◽  
Hydroelectric Power ◽  
Data Driven Approach

Power plants are required to supply the electric demand efficiently, and appropriate failure analysis is necessary for ensuring their reliability. This paper proposes a framework to extend the failure analysis: indeed, the outcomes traditionally carried out through techniques such as the Failure Mode and Effects Analysis (FMEA) are elaborated through data-driven methods. In detail, the Association Rule Mining (ARM) is applied in order to define the relationships among failure modes and related characteristics that are likely to occur concurrently. The Social Network Analysis (SNA) is then used to represent and analyze these relationships. The main novelty of this work is represented by support in the maintenance management process based not only on the traditional failure analysis but also on a data-driven approach. Moreover, the visual representation of the results provides valuable support in terms of comprehension of the context to implement appropriate actions. The proposed approach is applied to the case study of a hydroelectric power plant, using real-life data.

Perception of subsistence hunters in Lower Madeira on the impact of the Santo Antônio Hydroelectric Power Plant

2020 ◽  
Vol 9 (3) ◽  
pp. 16-25
Author(s):  
Márcio José Silva Belfort ◽  
Glêidson da Silva Barbosa ◽  
Carolina Pereira da Silva ◽  
Marcela Alvares Oliveira
Keyword(s):  
Power Plant ◽  
Hydroelectric Power Plant ◽  
Hydroelectric Power ◽  
The Impact

scholarly journals APPLICATION OF CALIBRATION CERTIFICATE OF DIGITAL LEVELING SYSTEMS IN THE MONITORING OF STRUCTURES: A CASE STUDY AT THE GOVERNADOR JOSÉ RICHA HYDROELECTRIC POWER PLANT - PR

2018 ◽  
Vol 24 (2) ◽  
pp. 235-249 ◽  
Author(s):  
Alyne Raminelli Siguel Gemin ◽  
Érica Santos Matos ◽  
Pedro Luís Faggion
Keyword(s):  
Power Plant ◽  
Hydroelectric Power Plant ◽  
Hydroelectric Power ◽  
Calibration System ◽  
First Order ◽  
The Past ◽  
Over Time ◽  
Equipment Performance

Abstract: The monitoring of the vertical behavior of benchmarks installed in the dam crest of the Governador José Richa hydroelectric power plant (UHGJR) has been performed by the first-order differential leveling method with the use of digital leveling systems which are composed of a digital level and a invar barcode rod. By default, the scales of these instruments are the same, but over time both can change, degrading the observations. In the past, the simultaneous calibration of these systems was not considered in the determination of UHGJR settlements, however, after the development of the first calibration system of digital leveling systems in Brazil, it was possible to investigate the equipment performance as well as to determine a scale factor to be applied to correct the level readings. The results achieved are the systems calibration used in the monitoring of the UHGJR and the calibration certificate application in leveled sections in November 2016. The maximum correction applied to the elevation differences was of the order of nine tenths of millimeters, result attributed to the region observed in the rod, since the deviations obtained in the calibration vary according to the reading position at the rod.

Sign in / Sign up

Export Citation Format

Share Document