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Start Over Subject renewable energy

1. Hydro-potential utilization of cooling water on the hydro-electric power plant Dalešice

Creator:
Hudec, Martin, Haluza, Miloslav, and Kubálek, Jiří
Format:
bez média and svazek
Type:
model:article and TEXT
Subject:
renewable energy, turbine, and cooling water
Language:
English
Description:
Engineering solution of a surplus pressure head in a system of reversible machine unit's cooling water. Current technologies suppplemented with Francis turbine or more precisely a centrifugal volute-type pump in turbine mode. It contains the layout for the basic extent of several various high-speeds with regard to maximum coverage of working conditions. Minimization of construction works on the structure of the cooling water inlet. Furthermore it includes an assignment of the annual power production.
Rights:
http://creativecommons.org/licenses/by-nc-sa/4.0/ and policy:public

2. The application of artificial intelligence in the process of optimizing energy consumption in intelligent areas

Creator:
Garlík, B.
Format:
bez média and svazek
Type:
model:article and TEXT
Subject:
self organizing map, simulated annealing, cluster analysis, type daily diagrams, load prediction, unit commitment, intelligent building, renewable energy, and micro grid
Language:
English
Description:
The text describes the optimization task of renewable energy sources distributed to electrical microgrid of fictitious intelligent area that consists of intelligent buildings. Firstly, to solve this task a general optimization heuristic method of simulated annealing will be described. Testing was performed on the analytical functions but those will be only covered marginally. Of the tests on the approximation functions the method of simulated annealing would be the most suitable algorithm for the optimization task. Furthermore, two experiments were introduced. The first lies in the application of cluster analysis on daily diagrams of electricity consumption in intelligent buildings. Because the modeled year history of hourly electricity consumption is represented by multidimensional data this data forms the training set during the adaptive dynamics submitted to a competence model of neural network by days. After the network adaptation process the Kohonen's map during the adaptive dynamics will be drawn, from which required clusters can be read. In the second experiment a sorting design of the resources for typical days of a week is performed in the computer program UniCon.
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public