Small Decentralized Hydropower Program National ... - Cd3wd.com

un rango de potencias y ronsumos de cargcter rural.
Con este metodo se obtienen resultados promedios.
El metodo de procesamiento de encuestas, si bien
es cierto puede proporcionar mejores resulta dos
tiene por inconveniente requerir mayor tiempo de
trabajo y necesidsd de mayores recursos, no
obstante que se aplicaria con encuestas en
localidades elegidas coma muestra. Este metodo es
m8s recomendable y prgctico en el case de estudios
de mercado para una proyecto determinado.
El metodo de c~rva.s de correltior~ consiste en
utilizar curvas de1 tipo exponential, que permiten
estimar el consumo de energia anual en funci6n de1
ntimc:ro de consumidores, seen la siguiente fhr-
mula:
(Esdn = A x (N&J (B + 1)
Siendo: A y B par&metros determinados por cor-
relacibn de estaadistica, por la Divisi6n Tecnica de
ELECTRQPERU.
Siendo:
N& = Ntimero de consumidores de1 aiio n
(Es&-, = Energia consumida en servicio
domiciliario, para el afio n
CE1 = De 0.30 6 0.40
CEN = De 0.80 6 0.90 (final para el tiltimo aiio)
La energia total anual vendida sera: (EV,,)
WV), = K X (Es& + @a&
Siendo K = Factor que incluye 10s consumes comercial,
industrial menor y usos
generales (entre 1.125 5 1.250)
(Ea,p)n = Consumo de1 alumbrado ptiblico (De 40
6 60 kWh/familia/tio aproximadamente)
La energia perdida en la distribuci6n se asumiri
coma un porcentaje de la energia anual vendida
(aproximadamente 6%).
La energia total a generarse anualmente sera la
energia vendida m&s las p&didas de distribuc$n,
m&s las p&didas en sub-transmisibn que dependen
de1 conductor y distancia de la linea.
La demanda de potencia de cada localidad estarti
dada por: .
(MDL)n =Q x
Sideno Q = Factor que incluye las perdidas de
potencia.
Hun = Horas de utilizacijn anual (varia
linealmente)
Even though the method of processing survey
questionnaires might provide better results, its inconvenience
lies in requiring more time and better
resources, even if applied in localities that
would be used as pilot projects. This method is
practical and advisable in the case of marketing
studies for a specific project.
The carrel&ion curve method consists of using
exponential curves that permit the estimation of
the annual energy consumption as a function of
the number of consumers, according to the
following formula:
(Esdh = A x (NC,) (B + ‘1
where A and 6 are parameters determined by
statistic:11 correlation established by the
Technical
where:
Division of Electroperu.
NGn = Number of consumers during year n
kdh = Energy consumed in domestic
vice, during year n
ser-
GE1 = From 0.30 to 0.40
WI = From 0.80 to 0.90 (final for the last
year)
The total annual energy sold will be: (EVn)
301
0% = K X Esdh + @apIn
where:
K = Factor including commercial, small
industry and general uses (from 1.125
to 1.250)
tEapIn = Public illumination consumption
(From 40 to 60 kWh/family per year
approximately).
The energy lost in the distribution will be
assumed as a percentage of the annual amount
of energy sold (approximately 6%).
The total amount of energy to be generated
annually will be the energy sold, plus distribution
losses, plus subtransmission losses, depending
on the conductor and the length of the line.
The power demand for each locality will be
given by:
WDL)n= Q x Wsdh + Eap
tilln 3000
Where Q = Factor which includes line loses
Hun = Hours of annual use (lineal variation)
3000 = Hours of annual use of public
lighting