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First Experimentation of Photurgen
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Transcript of First Experimentation of Photurgen
ABSTRACT
First Experimentation of Photurgen: An Optimization and Management
Software for Hybrid Renewable Energy Systems
Daren Watson, Jean Francois Dorville, Keith Duncan Department of Physics, University of the West Indies, Mona, Kingston, Jamaica
RESULTS
METHODS
CONCLUSIONS
Hybrid solar-wind energy systems (Figure 10) have been the focus of energy research due to them providing higher efficiency than conventional systems.
Studies of these systems have been numerous due to complexities involved in the optimization of their design. These complexities can be attributed to the
number of variables, parametric constraints and computational processes required for the sizing of these systems to continuously supply a specific load
demand. This research presents the development and application of an open-source renewable energy management tool, Photurgen (Figure 7), which seeks
to mitigate against the limitations involved in solar-wind energy system design and optimization. Photurgen has three main modules, namely, Photurgen
Analysis, Photurgen Optimization and Photurgen Geographic Information System which constitutes the main requirements for system design. Existing tools
are limited by their proprietary nature and are often restricted to pre-defined applications. Written in a user-friendly language (Python), this tool is accessible,
open and adaptable to applications involving solar-wind energy systems (www.Photurgen.com).
As a first application, the economic viability of renewable energy production at three residential locations in eastern Jamaica is studied using Photurgen. One
year of meteorological data is collected along with the biomass disposal rate and load consumption patterns for each location (Figure 2). Results are
obtained through time-series analysis and Levelized Cost of Energy (LCOE) sensitivities. As opposed to European and North American territories whose
climatic conditions are suitable for solar-wind systems, all site studied shows prevalence for solar only power generation systems. The results of this
assessment highlights Photurgen's integrity as a suitable alternative. Moreover, the application of hybrid solar-wind energy systems are not viable in all cases,
but rather limited by the local weather resources that determine their operational performance.
The procedure followed for the fulfillment Photurgen’s first application is outlined below:
• Selection of representative households from three (3) communities in eastern Jamaica with varying demographics (Figure 2)
1. Rural with largely agricultural activities – Windsor Castle, Portland (2 occupants)
2. Suburban with mainly residential components – Portmore, St. Catherine (5 occupants)
3. Coastal with a mix of residential and business activities – Harbour View, Kingston (5 occupants)
• Household energy audit to determine the daily power requirements.
• Collection of solar radiation data for twelve months, over the life of the project.
• Collection of wind speed data over a similar period.
• Simulate the data in Photurgen to obtain the optimal mix of solar-wind power generation systems. (Figure 9)
SOFTWARE: PHOTURGEN 1.0.
FEASIBILITY STUDY: SUMMARY OF RESULTS
Figure 2: Graph showing one of the sites of study, Portmore, Jamaica.
Figure 7: Structural Design of the Photurgen
Figure 8: Daily comparison of Power Consumption by Portmore household
Figure 10: Optimal RE System Design: 1.8 kW Grid-Tied
Solar System Recommended
Figure 9: Levelized Cost of Energy Analysis for different combination
of solar modules and wind turbines
Instrumentation: Data Collection
Figure 6: Vantage Pro 2 Wireless Console
on the wall of Portmore household
Figure 4: Vantage Pro 2 Weather Station
on roof of Portmore household
Figure 5: LCV Power Meter in power
box of Windsor Castle household
The analysis and optimization of hybrid renewable energy systems are usually done using
the aid of computational software such as HOMER, HOGA, and HYBRIDS which accounts
for different variables in the optimization process. The literature highlights the fact that it is
physically impossible to model the systems without the aid of modelling tools. The plethora
of packaged software available does spark curiosity as to which is the most ideal.
Currently under development is the Photurgen energy management tool, which is used for
the analysis below. This is one of the achievements of the research, given the possibilities
that exist by the conception of this open-source software model. Photurgen is the first of its
kind from the Caribbean region and is geared towards assisting energy practitioners and
householders with the design of their systems. The tool is able to assess the performance
of standalone and hybrid solar-wind energy systems; offering modules for analysis,
optimization and geo-referencing.
A 1.8 kW photovoltaic system is expected to operate at a
generating cost of 25 cents/kWh* in Portmore. On the other hand,
a wind system would not meet grid parity and therefore would not
be suitable for autonomous (off-grid) power generation at this
location.
A proposed 2 kW photovoltaic system at Windsor Castle is
expected to operate at a generating cost of 44 cents/kWh*. No
analysis was done on the wind power system given the extremely
low wind speeds at this location. Hence, a grid-tied solar system is
proposed.
A 1.8 kW photovoltaic system at Harbour View is expected to
operate at a generating cost of 29 cents/kWh*. Analysis suggests
that reducing the penetration of wind power in the setup will reduce
the cost of energy. Therefore, an autonomous wind standalone
system would not be viable. Hence, a grid-tied solar design would
be the best solution for this coastal location.
Photurgen is a suitable alternative for providing the optimal configuration of solar modules and wind turbines, given load consumption and
meteorological data. In all cases, solar systems are the most viable options with systems achieving grid parity in Portmore and Harbour View. Wind
speeds recorded are not suitable for autonomous power generation. Please visit www.Photurgen.com for more information on the tool.
*Current JPS residential consumer rate = 33 cents/kWh