|
A ‘village energy plan’ is
a logical estimate of the amount of energy needed in a village
to meet all its requirements. Sometimes, a village’s
energy requirement may be in excess of the amount of energy
it requires to meet its basic needs. For an energy plan, we
also need to project the amount of energy demanded by the
village. This process is known as ‘Need and Demand Assessment’.
The plan also involves mapping out local resources, water,
biomass (wood, crop residue, etc.), sunlight, oilseedbearing
trees, etc. and estimating the quantity of the resources that
can be harnessed to produce energy. This step is known as
‘Resource Estimation’. Subsequently, ‘load
scheduling’ gives an idea of the loads as per time of
the day on the basics of which the size of the system (to
be handled) is finalized. Finally, the cost of the technology
is taken into account through ‘financial analysis’.
Along with this step, a non-financial analysis is also carried
out to ensure sustainability of the implementation.
This is the first step in estimating the energy needs of your
area. It involves the following sub-steps.
The first
sub-step involved identifying the various uses of
energy in the village, that is, a village’s
consumption pattern. For this, details like the number of
households, devices used, hours of use of these devices, and
the time of day/year when energy is consumed the most,
etc., must be found out.
Broadly speaking, energy is required for
thermal purposes (to generate heat), that is cooking, room
heating, etc., or for electric purposes, that is , for lighting
and to power various appliances such as TVs and tape decks.
 |
| Figure 1 Steps
involved in preparing village energy plan |
The typical uses or applications of energy
in a rural area are as follows.
To light houses
To run TVs,
tape decks, etc. (entertainment)
To run fans
in houses especially in the summer months
To run mixers,
domestic flour mills, etc.
To run chaff
cutters
To light streets,
schools, panchayat ghar, public health centres, etc. (community
load)
To run irrigation
pump sets
To run flour
mills and rice hullers, etc.
To run lights
and fans in commercial establishments like shops and godowns
To pump drinking
water
2. The next sub-step in assessing a village’s
energy needs involves finding out details of its consumption
pattern, and the time of day/year when energy is used for
particular purposes. To understand how this is done, let us
now consider Tables 1–4 below. Tables 1–4 indicate
that
electrical devices are used at different times of the day
and for varied durations; and
some devices
are used only during a part of the year; fans are mostly used
in summer.
Thus, we see that during energy need assessment,
it is important to note not only how much energy is used,
but also when (the time of day) it is used.
Domestic
energy need assessment in village Shyampur (Table)
Community energy
need assessment (Table)
Commercial energy
need assessment (Table)
Energy need assessment
for agriculture and industry (Table)
Outputs of energy need assessment
At the end of the energy need assessment, you should have
information on how much energy is needed for each application
in your area. So, what is energy need assessment?
It refers to finding out
What is energy used for?
The consumption pattern and the time of day/year when the
energy is used
Usually, thermal energy demand is met by use of fuels such
as biomass, kerosene, cow dung, etc.
Therefore, the demand for thermal purposes may be expressed
in terms of kilograms of fuel needed.
Electrical energy needs can be expressed in terms of kW (kilowatt)
(connected load) and kWh ( kilowatt-hour) (demand or units
consumed). To find out the electrical energy needs of your
village, you should know the following.
What is energy used for? Is it used to run lights, fans, TVs,
irrigation pump sets, etc.?
How many (the
number) such devices are used in the village?
What is the
rated power (in W [watts], hp [horse power], or kW) of the
device being used in each application? For example, a light
bulb may be of 60 W, a tube light of 40 W or a CFL (compact
fluorescent lamp) may be of 11 W.
How many such
devices are likely to be used by each category of users?
How many hours
in a day will each device be used?
How many days
in a year will each device be used?
In Tables 5–8, the energy demand
for each sector in Shyampur village (an example) is calculated.
Thereafter, in Table 9, the total energy demand for the village
is computed.
For each device
Connected load in watts = (number of households and shops
using the device × number of
devices per household and shop × rating of device in
watts)
Connected load in kW = connected load in
watts/1000
For example, to run a light, = (100 households
× 2 lights per connected load in kW household ×
60 W per light) / 1000 = 12 kW
Demand in kWh/year = (connected load in
kW × hours of operation per day × days of
operation per year)
For example, to run a light, = (12 kW connected
load × 6 demand in kWh/year operation hours per day
× 365 operation days per year) = 17 520 kWh/year
Domestic
energy demand (Table)
Community energy
demand (Table)
Commercial demand
(Table)
Demand for agriculture
and industry (Table)
Total electric demand
in Shyampur village (Table)
Outputs of demand estimation
At the end of this step, you should know
the amount of electricity your village requires (demand),
and
the connected
load (kW) for each electrical application.
What is demand estimation?
It refers to finding out
the amount
of electrical energy needed in kWh (demand)
the connected
load (kW) for each electric application; and
the amount
of fuel (in kilograms [kg]) consumed in each thermal application
At the end of Step 2 (demand estimation), it was seen that
the total connected load for Shyampur is 36.63 kW. In the
following section, we will see whether this requirement can
be brought down through a process called load scheduling.
Load scheduling is the process of spreading
connected load across time. This is done on the basis of the
following.
1 Scheduling loads as per time of use
2 Checking if loads can be rescheduled to reduce peak loads
The rescheduled peak load will define the
size of the plant needed to meet the energy demand.
The benefits of load scheduling are as follows.
It provides information about when the load is maximum and
when it
Is minimum.
This would help meet the varying load requirements consistently.
For example, if people want to watch TV from 6 p.m. to 9 p.m.,
then the plant must have adequate spare capacity during that
period to meet the extra load.
It identifies
the period of the day during which the plant must be operated.
It also helps
in deciding the size of the power plant such that the plant
is operated at optimum capacity throughout the year.
Based on the requirement found out in Step
2, the total peak load can be assessed (Table 10).
Revised load scheduling
As Table 10 suggests, the peak load in order to meet the requirements
of the people in Shyampur is 19.77 kW. Since this figure also
reflects certain motorized loads, which require a higher starting
current, the plant capacity to meet the load must be about
30 kW.
This leads us to the questions of (1) whether
this (30 kW) should be the real size of the plant, and (2)
whether the load requirement can be reduced. For answers,
we must first inquire into the reason behind the high peak
load. And, the reason is that a rice huller and a flour mill
of 7.5 hp each run in the evening at a time when other loads
are also operational. This leads us to yet another question
of whether it is necessary to run these machines simultaneously
along with the other loads.
In most cases, either of the two would
be running at any point of time. For instance, if there are
more than 8–10 pump sets in a given village, it is advisable
to run them in batches.
Pumps can be split in two batches and each
batch can be run at a time when the load on the power generating
system is minimal. Hypothetically, load scheduling could also
have been done in a manner in which the loads could be distributed
throughout the day, thereby reducing the load on the power-generating
unit. (Table 11). Table 11 establishes the following facts
The peak load is 16.79 kW.
Load rescheduling
has reduced plant capacity size from 19.77 kW to 17 kW.
Oil expellers
operate when the agriculture period is over.
This does
not include motorized load, hence the total load is 14 kW
for solar. In this scenario, the required plant size would
be of 25 kW, taking into account operation of 6–8 hours,
three days of autonomy, and 80% system efficiency.
The price
includes all kinds of costs including energy plantation.
What is load scheduling and optimization?
It refers to identifying
how best the
load can be distributed and managed;
how the load
hours can be distributed to reduce the peak/maximum load;
and
how this scheduling
of load can bring down the cost of the technology?
Load
as per need (Table)
Revised load scheduling
(Table)
In Step 4, an assessment of the various sources of energy
available in the village is carried out. It covers the following
aspects.
Identifying the different sources of energy in the village
Estimating
the current production of the resource
Estimating
the current consumption of the resource
Let us now then assess the resources required
for all technologies employed
to generate energy from renewable sources of energy, such
as the following.
Biomass-based
power generation
Solar-related
technologies
Mini/micro
hydro technologies
Bio-diesel
applications
Biomass-based power generation
There are generally two forms of biomass in a typical village.
Crop residue
Firewood (wood
from trees)
Forest reserves should not be taken into
consideration here, as felling of trees is illegal in many
places. However, if there is an energy plantation available
in a village for captive use, it can be taken into consideration.
Table 12 shows how surplus crop residue is calculated for
each variety of crop in the village we are considering in
this chapter—Shyampur.
The MNES (Ministry of Non-conventional
Energy Sources) is developing an online biomass atlas for
India. It will provide details of biomass availability, and
thus the potential of a region in this respect, at the click
of the mouse.
Information of this nature will help energy planners to access
information from a reliable source on biomass-related issues.
In this regard, the Indian Institute of Science, Bangalore,
has become the national focal point on
biomass. Five other apex institutes mentioned below, along
with consultants, have been entrusted with the responsibility
of preparing the above-mentioned atlas.
TERI (The Energy and Resources Institute), New Delhi
Anna University,
Tamil Nadu
ORG (Operations
Research Group), New Delhi
Jadavpur University,
Kolkata
ASCI (Administrative
Staff College of India), Hyderabad
Woody biomass
An assessment of the existing stock of biomass should be carried
out to find the sustainable yield from the growing stock at
the village level. To estimate the biomass for different land
categories, the quadratic method is adopted.
Volume is measured through either of the
following equations.
V = a + b × g2 × h
or
V = a + b × d2 × h
where,
V = volume in cubic metres
h = height in metres
g = GBH (girth at breast height) in metres
d = DBH (diameter at breast height) in metres
And, a and b are regression constants.
The annual sustainable yield (Y) is:
Y = 2 GS / R
Calculation
of surplus crop residue in Shyampur (Table)
where,
Y – sustainable yield (tonnes/y)
GS = growing stock
R = rotation of growing stock in the village
General volume table
The general volume table (Table 13) is used if the regression
equation of particular trees is not known. In this case, the
girth of trees must be measured and its corresponding volume
be provided in the general volume table.
For example, in case the girth of the
tree is 101 cm, it would fall in the third row within the
girth class of 90–120 cm. The last column of the same
row shows the volume, which is 0.55 m3 (cubic metre).
General
volume (Table)
Solar-related technologies
To estimate the availability of solar energy in an area, you
would need to know the following.
Number of
sunny days in a year in the area
Average number
of sunlight hours per day
Solar radiation data are generally available
at the local weather data collection centre of the Department
of Meteorology. Solar technology is feasible in most parts
of India. It needs at least 5–6 hours of sunlight per
day for at least 250 days in a year. If an area receives the
specified amount of sunlight, solar technologies can be used
for power generation. There may be site-specific issues (detailed
in Chapter 3 on solar photovoltaic), which must be taken care
of before finalizing the technology.
Hydro-based technologies
To assess hydropower potential, you should know the following.
The quantity
of water flowing at the point of intake
The flow (To
estimate the flow there are two aspects that need to be kept
in mind, that is, lean [minimum] flow and peak [maximum] flow
[when it is] and the period of the year when the flow is low
and high.)
The height
and speed of water
Bio-diesel applications
To estimate the resources required to produce bio-diesel,
you should know the following.
As mentioned
in Chapter 6 on biofuel technology, bio-diesel can be produced
from seeds of different varieties of plants.
Oil-yielding
plants may occur naturally or they may be grown on farms,
bunds, waste lands, and the like.
Bio-diesel
can be produced from non-edible oilseeds such as Pongamia
pinnata (Karanj, Honge), Jatropha curcas (Ratan Jot), Hevea
braziliensis (Rubber), Madhuca indica (Mahua), and Shorea
robusta (Sal).
Information
on oil-yielding species, which occur naturally or which can
be cultivated in the region, can be obtained from local forestry
offices.
There are
numerous plants that can yield oil; however, the oil-yielding
capacity should be in the range of 25%–35% of the seed
weight; otherwise extraction of oil is not viable.
Farmers should
find out if oil-yielding seeds are available in a nearby market.
If yes, then the cost for the same must be found out. As per
the Planning Commission report of the Committee for the Development
of Biofuel, the cost of oil-yielding seeds is in the range
of 14.98–16.59 rupees/ litre, based on the assumption
that the seed contains 35% oil, and 91%– 92% of the
oil can be extracted.
Farmers should
also know the yield for different varieties of oil-yielding
plants. An estimate of the average yield of Jatropha curcas
is given in Table 14.
Average
yield estimates for Jatropha curcas (Table)
Outputs of resource estimation
At the end of this step, you should have information about
the following.
Information
about the resource availability for different sources of energy
An estimate
of the energy generation potential for each source of energy
available
An assessment
of whether the resource available is sufficient to generate
energy to meet the needs assessed.
Having assessed and matched needs and resources, we now need
to select technologies that optimize costs. This section attempts
at familiarizing you with the cost of each option, which would
help in selecting a technology or a combination of technologies.
Please note that the ‘financial analysis’ is best
left to the experts. Nevertheless, Table 17 will help in developing
some understanding about the cost of various options. With
regard to Table 18, which provides an overview of the cost
of various technologies, it is important to note the following.
The costs reflected in Table 18 may vary
from place to place.
Column 2 suggests
the probable cost of different energy sources per kW.
Therefore,
if a plant of 50 kW is needed for a biomass-based gasifier,
then the total cost, considering the cost per kW mentioned
in Column 2, would be Rs 15 000 × 50 = Rs 750 000.
Column 3 gives
the cost of generating 1 kW of power per hour, including the
expenses on other items like repair and maintenance of the
plant and the capital cost.
As electrification/energization
is the foremost infrastructure requirement for any area, the
government includes these as a part of their subsidized programme.
Column 4 reflects the cost of generating power (1 kW per hour)
excluding capital expenses, taking for granted that subsidy
will be taken up to meet the capital expenses.
Can help in assessing the cost of various options even if
more than one option is used (Table)
From the preceding discussion, it is apparent that a village
energy plan helps you in the following aspects.
Conducting an energy need assessment and demand assessment
of your area
Load scheduling
and optimization to assess the peak load and hence the maximum
capacity of the plant
Choosing a
cost-effective technology / source of fuel based on the resources
available in the region
Developing
a pool of options on the basis of a financial analysis that
ensures optimum utilization of the resources available in
the area. (Here, a pool of resources means a hybrid system.)
Additional factors affecting selection
of technologies Before a decision is taken on any option or
mix of options, the following issues need to be kept in mind.
Resource reliability
Resource reliability refers to how much one can depend on
the consistent supply of a resource. For example, the reliability
of biomass must be determined in the case of the gasifier
and of solar energy in the case of an
SPV (solar photo voltaic) domestic lighting system/power plant.
Before zeroing in on any particular technology, it is absolutely
necessary that we find out the availability of the resource
(Step 4: Resource estimation). This step helps us to find
out whether the community can rely on the resource for long-term
use of the technology.
Ease of operation and maintenance
Operation and maintenance is a major consideration in the
choice of a technology/technologies in any area. The community
should be comfortable with the functional aspect of the technology.
If the technology were very complicated, it would only discourage
the community from adopting it.
For example, SPV is the easiest technology
in terms of operation whereas a gasifier, apart from actual
operation, involves several other steps such as collection
and processing of biomass, which needs dedicated humanpower.
Community organization
A technology is only sustainable if the community participates
in the process from the very beginning. Prior experience has
shown that the more commitment there is on the part of a community
towards the initiative, the better the management of the technology
in terms of monthly payment for the service,
supervision
of operators,
safety, and
operation
and maintenance.
Selection of the technology should be based
on expert opinion as well as the views of the community. As
per the data provided in the preceding sections it is clear
that to set up a 30-kW system there is inadequate biomass
in the village. The surplus crop residue (Table 12) amounts
to only 28.37 MT. At the same time, the initial cost of SPV
(Rs 90 lakhs) is too high to be considered by the gram panchayat.
|