Statistical Analysis on Renewable - Biogas Energy Production

Statistical Analysis on Renewable - Biogas Energy Production 1
STATISTICAL ANALYSIS ON RENEWABLE - BIOGAS ENERGY PRODUCTION
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Assessment Title: Statistical Analysis on Renewable - Biogas Energy Production

Statistical Analysis on Renewable - Biogas Energy Production 2
Abstract
Energy production is considered as an economic wellbeing for the diversity of any
country and includes; fossils fuels, renewable energy, nuclear power source, wind energy supply,
hydroelectric and geothermal energy supply. The renewable energy supplies are sourced from
various parameters such as wind, moving water, sunlight and geothermal heat that re not subject
to depletion. The process of energy supply consist various networks for energy conservation,
generation, transportation and energy consumption (Weiland, 2010). The connection provides
basic flexibility for transforming energy and supply to various areas of coverage. However,
energy supply is faced by various challenges such as energy shortage in some areas that require
restoration. Therefore, the best solution to such shortages is to apply the statistical data analysis
to solve the problem. The major objectives for the determination of such aspects is apply
statistical techniques in calculation of the costs. Research methodologies have been incorporated
so that the supply of power for development and coming up with solutions arising in this area.
Renewable energy systems are designed for the purpose of statistical analysis and addressing the
emergency issues with uncertain parameters (Teleke, Baran, Bhattacharya, and Huang, 2010).
Introduction
Renewable biogas energy is an economic, social and politically determined set of modern
basis of energy globally. This energy is obtained from inorganics domestic waste resources that
continually re-used based on human consumption, time scale including; heat, the rains, sun rays,
wind, tides and even the waves. Arguably, an estimate of 20% worldwide energy consumption is
obtained from the renewable resources, 10% comes from biomass that is used for heating

Statistical Analysis on Renewable - Biogas Energy Production 3
purposes, and 4.6 coming from hydroelectricity (Salihu, Alam, AbdulKarim and Saalleh, 2012).
However, another 3.5% from the renewable energy sources accounted for the multipurpose such
as modern biomass, solar energy, bio-fuels energy, wind energy. Consequently total
contributions of this renewable energy in field production of electricity are approximated to be
20% with some 15% contribution from hydroelectricity and 4% from the renewable sources of
power. These categories of electricity have resulted in the various choices that make a network of
the system composing the energy generation, transformation, supply, transportation and finally
energy consumption (Poschl, Ward, and Owende, 2010).
The research study based its discussions on the biogas production from different sources
of organic material wastes that were well prepared in the digester through fermentation. This
method of energy production provides great relief to the cut off of expenses and the costs of
living. Biogas energy is the best power for the purpose of cooking, home lighting, and better in
running of the machines and this kind of energy is environmental friendly with reduced risks
(Panawar, Kaushik and Kothari, 2011). It was observed that the organic material wastes were
first decomposed enabling stability and aerobic and anaerobic digestion followed respectively.
The report studies the statistical data analysis on the techniques used in the energy renewable
that assists in determining the reliability of the energy for the commercial use by the customers
(Wieland, 2010).
Methodology
Most of the statistical data is collected for the determination of the techniques used for the
renewable biogas energy production. The categorical analysis of dependent data and independent

Statistical Analysis on Renewable - Biogas Energy Production 4
variables was carried out for the collection of responses regarding biogas energy production. The
parameters include landfills, waste water treatment, agricultural wastes, wood biomass and
Domestic wastes used for the gas production such as the poultry wastes; kitchen wastes
groundnut remains, and orange husks (Chiew, Iwata and Shimada, 2011). The interdependence
existing among the various variables were also analyzed by applying the Z score method for the
independence of the variables. The statistical techniques for the determination of the mean,
median, mode, standard deviation and regression of the sample data is regulated for different
datasets. The Coefficient of correlation is also determined for the consumer of the biogas energy
(Liserre, Sauter and Hung, 2010). Most of biogas renewable energy relies on the other forms
such as sunlight, wind, and the hydroelectric due to the heating of the surface of the earth. energy
Sample data collection
Biogas energy supply started with a sample of about 30% using domestic wastes and 60%
of agricultural wastes. The samples were the most preferred du to their low bacterial content
digestion and higher cellulose components from the agricultural materials. A high production of
about 809 cubic centimeters were supplied from the sample that contained half (50%) by poultry
content (Li et al. 2011).
Statistical data analysis
Statistical distributions are plotted for the sample data and the interpretation is carried out
for the estimation of parameters selected. For each of the estimated parameter a graph is plotted
for to check the normal distribution of the sample data.