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Design of a hybrid power system using Homer Pro and iHOGA

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Abstract

In this paper, a hybrid power system is designed for a house in St. John's. House located in Newfoundland is designed using the Energy 3D software and the annual energy (kWh) demand for the house is determined. The hybrid power system to meet this energy demand is designed and simulated using both Homer (Hybrid Optimization of Multiple Electric Renewables) Pro software and iHOGA (improved hybrid optimization genetic algorithm) software. Analysis reveals that for Homer Pro software, 95.8% (52,566kWh/yr) of the total annual energy is produced by the wind turbine and 4.2% (2,308kWh/yr) is produced by the solar cells. For the iHOGA software, 85.7% (8,188.6kWh/yr) of the total annual energy is produced by the wind turbine and 14.3% (1,361.6kWh/yr) is produced by the solar cells. Further analysis indicates that it more economical to design the hybrid power system in iHOGA software. However, irrespective of the software used in the system design, the energy generated for the isolated system is more than the energy demand of the house thus leaving excess electricity that can be sold to the grid system.
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Design of a hybrid power system using Homer Pro
and iHOGA
Stephen Ogbikaya
Department of Computer and Electrical Engineering
Memorial University of Newfoundland
St. John’s, Canada
sogbikaya@mun.ca
M. Tariq Iqbal
Department of Computer and Electrical Engineering
Memorial University of Newfoundland
St. John’s, Canada
tariq@mun.ca
AbstractIn this paper, a hybrid power system is designed for a
house in St. John’s. House located in Newfoundland is designed
using the Energy 3D software and the annual energy (kWh)
demand for the house is determined. The hybrid power system to
meet this energy demand is designed and simulated using both
Homer (Hybrid Optimization of Multiple Electric Renewables)
Pro software and iHOGA (improved hybrid optimization
genetic algorithm) software. Analysis reveals that for Homer
Pro software, 95.8% (52,566kWh/yr) of the total annual energy
is produced by the wind turbine and 4.2% (2,308kWh/yr) is
produced by the solar cells. For the iHOGA software, 85.7%
(8,188.6kWh/yr) of the total annual energy is produced by the
wind turbine and 14.3% (1,361.6kWh/yr) is produced by the
solar cells. Further analysis indicates that it more economical to
design the hybrid power system in iHOGA software. However,
irrespective of the software used in the system design, the energy
generated for the isolated system is more than the energy
demand of the house thus leaving excess electricity that can be
sold to the grid system.
KeywordsIsolated system, Energy 3D, Homer Pro, hybrid power
system, iHOGA software.
I. INTRODUCTION
A hybrid power system for a house that produces as much
energy the house can consume annually can be designed. Due to
the fact that buildings account for large amount of energy
demand, hybrid power system becomes inevitable in solving the
energy crises being faced in the grid system. The problem of
environmental pollution affecting the ecosystem being caused
by non-renewable energy sources can be limited as renewable
energy is more environmentally friendly. The sources of
renewable energy include wind, solar, tidal, hydro and biomass.
These sources can be replenished back to the ecosystem hence
it is termed renewable. The combination of more than one
energy sources is called hybrid. Hybrid energy system may
include both renewable energy sources and the conventional
energy sources. In the recent past, hybrid energy systems
consisting of only renewable energy sources are gradually
taking over the globe. In this paper, design of hybrid power
system using Homer Pro and iHOGA software are considered.
II. LITERATURE REVIEW
A study [1] utilizes Energyplus software in simulating
annual energy of Xiamen. The results obtained from their
simulation indicates that the total annual consumption of the
house was 12,544.9 kWh, which was 75.6% of the 16,590.5-
kWh generated by the PV panels. The key objective of that paper
was to produce new, innovative, clean and efficient energy
technologies and also to give a better solution to build “Zero
Energy Buildings”. A system consisting of two renewable
energy sources, comprising photovoltaic system and a wind
turbine for ZEB is presented in [2]. An existing building was
simulated which was compared with the modified building and
hybrid system feeding the load was carried out with the
application of Homer software. Based on simulation results, it
was found that these renewable energy sources would be a
feasible solution for zero energy buildings. A paper [3]
demonstrates a hybrid renewable energy system developed for a
net-zero energy low rise residential building located in
Shanghai, China that hybrid renewable energy system consists
of a water-based photovoltaic/thermal (PVT) collector and a
ground water-source heat pump (GWSHP) which was designed
to produce heating, cooling and electricity during both winter
and summer by using solar energy and ground surface water
energy respectively. The feasibility of that hybrid system for a
detached house located in hot summer and cold winter city
Shanghai was evaluated by both field test and modeling
analysis. Results obtained indicates that the annual energy
consumption of the studied case is 3658.7kWh, less than the
annual on-site energy generation 4000.1kWh, and the system
has been proved to be applicable on this on-grid zero-energy
house, and hence has potential for low/zero-energy low-rise
residential buildings in Shanghai. A work [4] analyzes the
potentials of hybrid renewable energy system (HRES) to supply
power and heat for a household with the optimal configuration.
As a case study, a house was selected in the United Kingdom
with its energy consumption collected and analyzed. Based on
energy demands of the house, a distributed HRES including
wind turbine, solar photovoltaic (PV) and biogas genset was
designed and simulated to satisfy the power and heat demands.
Hybrid Optimization Model for Electric Renewable (HOMER)
Software was used to conduct this technoeconomic analysis. It
is discovered that the HRES system with one 1-kW wind
turbine, one 1-kW sized biogas genset, four battery units and one
1-kW sized power converter was the most feasible solution. In
paper [5], a hybrid system involving multiple options to generate
2
electricity was considered. These hybrid generation systems are
designed to function in two ways, as a standalone system,
which without being connected to the electricity grid supplies
power to a set of loads, or as a grid-connected system, where a
system undergoes transmission and distribution, to be integrated
to the grid. The paper implements HOMER, iHOGA and
RETSCREEN software tools for the design, analysis,
optimization, and economic viability of the PV-Wind Hybrid
Energy system. Result obtained indicates that optimal solutions
were found using RETSCREEN, HOMER and iHOGA software
tools. The best solution so obtained was 3kW panel, 1kW
wind turbine, with unmet load of 0, having NPC of $4563
to power the sample load. The comparative study of the
simulation results between HOMER and iHOGA software
packages was presented in [6]. These two software packages are
used to optimally size renewable energy systems for a micro-
grid. A small community in Aralvaimozhi, India was
considered. Aralvaimozhi has a good potential of Solar energy
and Wind energy resources. If these resources are trapped
efficiently using HRES, an efficient micro-grid could eventually
replace the present old and less efficient electricity grid system.
Their study reveals that the optimally sized HRES with least
value of Net Present Cost (NPC) resulted from HOMER and
iHOGA software packages was discussed and their results was
compared.
III. METHODOLOGY
A house located in Newfoundland was model and the annual
energy (kWh) was determined with the aid of Energy 3D
software. A hybrid power system of the house consisting of
photovoltaic cell, wind turbine, battery, inverter and electrical
load was designed and simulated with the aid of Homer Energy
software to accommodate its annual energy (kWh). Also, the
hybrid power system of the same house was designed and
simulated under iHOGA software environment and the analyzed
results was compared to that obtained from Homer Energy
software.
A. Modeling and sizing
A 3-bedroom apartment located in Newfoundland was
modeled in Energy 3D environment and the annual energy in
kWh required by the house was optimized and simulated with
the aid of Energy 3D software. The model obtained is shown in
Figure 1. Based on the result obtained in Energy 3D software,
annual energy consumption =18,533.2kWh as shown
graphically in Figure 2.
Figure 1 Model of 3-bedroom apartment in St. John’s Canada
Figure 2 Line graph of annual energy consumption of a 3-
bedroom building in St. John’s Canada
The building was then located using Homer Google search
on the internet as shown in Figure 3, the average wind speed of
9.23m/s and the average solar radiation of 3.15kWh/m2/day was
determined as shown in Figure 4 and Figure 5 with aid of Homer
software.
Figure 3 Location of building using Homer Google search
Figure 4 Annual average wind speed of wind turbine
Figure 5 Annual average radiation of solar panel
The schematic diagram of an off-grid hybrid power system
consisting of photovoltaic cell, wind turbine, battery, inverter
and load shown in Figure 6 was designed by Homer Energy
software. The energy consumed by the House is produced by
both the PV module and the wind turbine. This system does not
3
require energy generated from the grid system; it is completely
off-grid. Again, with the same load profile obtained from Energy
3D, the hybrid power system of the same building was designed
and simulated in iHOGA software environment as shown in
Figure 7. In this case, the average annual wind speed and
average annual solar irradiance obtained are 9.22m/s and
3.12kWh/m2/day respectively as shown in Figure 8 and Figure
9.
Figure 6 Schematic diagram of hybrid power system
from Homer software
Figure 7 Hybrid power system from iHOGA software
Figure 8 iHOGA annual average wind speed
Figure 9 iHOGA annual average solar irradiance
IV. RESULT AND DISCUSSION
TABLE I LIST OF COMPONENTS IN HOMER PRO DESIGN
Components
Homer Pro
Nominal
voltage (V)
Rating
Life span
Wind turbine
48
6kW
20
Solar Cells
12
0.325kW
25
Battery
12
260Ah
20
Converter
48
12kW
15
TABLE II LIST OF COMPONENTS IN IHOGA DESIGN
Components
iHOGA
Nominal
voltage (V)
Rating
Life span
(years)
Wind turbine
48
1.5kW
15
Solar Cells
24
325W
25
Battery
12
97Ah
10
Converter
48
5kW
10
Table I and Table II indicates the component parts, nominal
voltage, power rating and life span specification of both Homer
Pro and iHOGA designs.
The cost of designing a hybrid power system suitable for the
house in iHOGA software is $34,149.8 as shown in Figure 10
and Table 3. For Homer Pro design, the cost is $35,929.53 as
depicted in Figure 11. In terms of economics, it is more
economical designing a hybrid power system with the aid of
iHOGA software. Results from Homer Pro show that 95.8%
(52,566kWh/yr) of the total energy was generated by the wind
turbine and 4.2% (2,308kWh/yr) was generated by the solar
module as shown in Figure 12. The total energy generated by
this design (54,874kWh/yr) is more than the load
(18,521kWh/yr) of the system similarly with the iHOGA design,
85.7% (8,188.6kWh/yr) of the energy generated to the load is
from wind energy and the solar energy generates 14.3%
(1,361.6kWh/yr), this is shown in Figure 13. In both designs, the
total energy generated exceeds the load demand of the house.
4
Figure 10 iHOGA representation of graphical installation cost
TABLE III IHOGA INSTALLATION COST
Figure 11 Homer Pro installation cost
Figure 12 Homer Pro energy generation
Figure 13 iHOGA energy generation
V. CONCLUSION
In this paper, hybrid power system was designed using
Homer Pro and iHOGA software. Simulated results shows that
optimal design was found using iHOGA software. In this design,
1.5kW wind turbine, 24V, 325W photovoltaic modules, 12V,
97Ah battery and 5kW, 48V converter was used at a cost of
$34,149.8 to meet the load demand of the house. However,
Homer Pro was used to design the same hybrid power system
though more expensive.
ACKNOWLEDGMENT
I wish to thank National Science and Engineering Research
Council Canada and School of Graduate Studies (SGS),
Memorial University of Newfoundland for funding this
research.
REFERENCES
[1] S. Feng, W. Shaosen, H. Jinjin and H. Xiaoqiang, “Design
strategies and energy performance of a net-zero energy
house based on natural philosophy”, Journal of Asian
Architecture And Building Engineering, Vol. 19, No. 1, pp.
115, 2020.
[2] P. Satya, K. R. Vijaya and C. Saibabu, “Integration of
Renewable Energy Sources in Zero Energy Buildings with
Economical and Environmental Aspects by using HOMER”,
International Journal of Advanced Engineering Sciences and
Technologies, Vol. No. 9, Issue No. 2, pp. 212 217, 2015.
[3] Z. Shihao , Z. Zhi, H. Yidong, Y. Baoshun and T. Hongwei,
“Applicability Study on a Hybrid Renewable Energy System
for Net-Zero Energy House in Shanghai”, Applied Energy
Symposium and Summit, Energy Procedia 88, pp. 768 774,
2016.
[4] M. Chunqiong, T. Kailiang, W. Yaodong and J. Long,
“Technoeconomic Analysis on a Hybrid Power System for
the UK Household Using Renewable Energy: A Case
Study”, Energies, pp. 1-19, 2020.
[5] S. I. George, Performance Analysis of a Hybrid Energy
System”, International Journal of Advanced Science and
Technology, Vol. 29, No. 5s, pp. 3211-3220, 2020.
[6] N. Saiprasad, A. Kalam and A. Zayegh, Comparative Study
of Optimization of HRES using HOMER and iHOGA
Software”, Journal of Scientific & Industrial Research, Vol.
77, pp. 677-683, 2018.
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Technoeconomic Analysis on a Hybrid Power System for the UK Household Using Renewable Energy: A Case Study
  • M Chunqiong
  • T Kailiang
  • W Yaodong
  • J Long
M. Chunqiong, T. Kailiang, W. Yaodong and J. Long, "Technoeconomic Analysis on a Hybrid Power System for the UK Household Using Renewable Energy: A Case Study", Energies, pp. 1-19, 2020.
Performance Analysis of a Hybrid Energy System
  • S I George
S. I. George, "Performance Analysis of a Hybrid Energy System", International Journal of Advanced Science and Technology, Vol. 29, No. 5s, pp. 3211-3220, 2020.
Comparative Study of Optimization of HRES using HOMER and iHOGA Software
  • N Saiprasad
  • A Kalam
  • A Zayegh
N. Saiprasad, A. Kalam and A. Zayegh, "Comparative Study of Optimization of HRES using HOMER and iHOGA Software", Journal of Scientific & Industrial Research, Vol. 77, pp. 677-683, 2018.