TY - JOUR
T1 - Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB
AU - Orozco, Joséc Canales
AU - Aranzana, Maria F.Gonzales
AU - Hurtado, Sissi Santos
N1 - Publisher Copyright:
© 2022 J. Adv. Inf. Technol.
PY - 2022/6
Y1 - 2022/6
N2 - —Due to scarcity of topographic and hydrological information in high jungle areas, many times projects based on water management are not developed. This is of interest because they involve hydroelectric generation projects. The latter are considered important because of their capacity to satisfy the energy demand of a population and to minimize environmental impact of energy generation. In this sense, we propose a methodology for hydroelectric potential evaluation in high jungle areas that considers the following steps: (a) develop an algorithm in MATLAB in charge of searching geographical conditions for hydroelectric power plant’s location, (b) definition of restrictions: political delimitation, environmental and demographic, (c) generation of average flows based on rainfall-runoff models, estimation of hydroelectric potential and economic evaluation of selected points. The high jungle area studied was Utcubamba basin, in department of Amazonas, Peru, where 2 possible locations with hydroelectric power of 5.33 and 6.09 MW were located.
AB - —Due to scarcity of topographic and hydrological information in high jungle areas, many times projects based on water management are not developed. This is of interest because they involve hydroelectric generation projects. The latter are considered important because of their capacity to satisfy the energy demand of a population and to minimize environmental impact of energy generation. In this sense, we propose a methodology for hydroelectric potential evaluation in high jungle areas that considers the following steps: (a) develop an algorithm in MATLAB in charge of searching geographical conditions for hydroelectric power plant’s location, (b) definition of restrictions: political delimitation, environmental and demographic, (c) generation of average flows based on rainfall-runoff models, estimation of hydroelectric potential and economic evaluation of selected points. The high jungle area studied was Utcubamba basin, in department of Amazonas, Peru, where 2 possible locations with hydroelectric power of 5.33 and 6.09 MW were located.
KW - algorithm
KW - geographic information system
KW - hydroelectric potential
KW - hydrological model
KW - renewable energy
UR - https://www.scopus.com/pages/publications/85130699643
U2 - 10.12720/jait.13.3.277-283
DO - 10.12720/jait.13.3.277-283
M3 - Artículo
AN - SCOPUS:85130699643
SN - 1798-2340
VL - 13
SP - 277
EP - 283
JO - Journal of Advances in Information Technology
JF - Journal of Advances in Information Technology
IS - 3
ER -