Research Papers

Sizing of Photovoltaic-Wind-Battery Hybrid System for a Mediterranean Island Community Based on Estimated and Measured Meteorological Data

[+] Author and Article Information
S. M. Sajed Sadati

Sustainable Environment and Energy Systems,
Middle East Technical University Northern
Cyprus Campus,
Guzelyurt via Mersin 10,
Kalkanli 99738, Turkey
e-mail: ssadati@iastate.edu

Elham Jahani

Sustainable Environment and Energy Systems,
Middle East Technical University Northern
Cyprus Campus,
Guzelyurt via Mersin 10,
Kalkanli 99738, Turkey

Onur Taylan

Mechanical Engineering Program,
Middle East Technical University Northern
Cyprus Campus,
Guzelyurt via Mersin 10,
Kalkanli 99738, Turkey;
Center for Solar Energy Research and
Applications (GÜNAM),
Middle East Technical University,
Ankara 06800, Turkey

Derek K. Baker

Department of Mechanical Engineering,
Middle East Technical University,
Ankara 06800, Turkey;
Center for Solar Energy Research and
Applications (GÜNAM),
Middle East Technical University,
Ankara 06800, Turkey

1Corresponding author.

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received March 26, 2017; final manuscript received November 2, 2017; published online November 30, 2017. Assoc. Editor: Geoffrey T. Klise.

J. Sol. Energy Eng 140(1), 011006 (Nov 30, 2017) (12 pages) Paper No: SOL-17-1109; doi: 10.1115/1.4038466 History: Received March 26, 2017; Revised November 02, 2017

Deploying renewable energy systems (RES) to supply electricity faces many challenges related to cost and the variability of the renewable resources. One possible solution to these challenges is to hybridize RES with conventional power systems and include energy storage units. In this study, the feasibility analysis of a grid-connected photovoltaic (PV)-wind-battery hybrid system is presented as a microgrid for a university campus-scale community on a Mediterranean island. Models for PV and wind turbine systems are presented to estimate energy production, and net present cost (NPC) and levelized cost of electricity (LCOE) are used as economic metrics. A parametric study is performed with hourly time-steps to determine the sizes of energy generation and storage units to minimize the NPC for a small community as the case study. Two alternate configurations with and without storage are proposed. In both cases, the resulting LCOE is 0.15 USD/kWh while the current electricity tariff for the analyzed location was 0.175 USD/kWh in 2015. This lower unit cost of electricity leads to a lower NPC considering a 25-year lifetime. Different estimated and measured solar irradiance and wind speed data sets are used to evaluate the performance of the designed microgrid. Sensitivity analysis on different available weather data sets shows that the uncertainty in wind resource estimations is much higher than the uncertainty in solar resource estimations. Moreover, the results show that solar and wind resources could be utilized synergistically for the studied location.

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Fig. 1

Possible system components of a hybrid REMG considered in this study

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Fig. 2

Flowchart of energy balance at each time-step in the designed REMG

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Fig. 4

Available average daily global insolation for each month at FT, EW, NS, and 2A tracking surfaces

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Fig. 6

Average daily demand for METU NCC calculated by averaging the demand for two years from June 2013 to May 2015

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Fig. 3

Average daily values for each month for average measured GHI (2010–2014), TMY GHI, large measured GHI (2013) and small measured GHI (2014)

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Fig. 5

Average wind speed from TMY wind, 2014 measured wind and 2015 measured wind at METU NCC

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Fig. 7

Average daily demand for each month for the available datasets: 2011 monthly demand provided by METU NCC administration, average 2013–2015 hourly demand provided by Kib-Tek and hourly 2026 demand predicted for METU NCC

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Fig. 8

Predicted average hourly electricity demand for the days with maximum (16th September) and minimum (4th May) hourly electricity use

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Fig. 9

Average daily electricity demand and AC electricity production of the system components and energy supplied by the grid for configuration 1

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Fig. 10

Average daily electricity demand and AC electricity production of the system components and energy supplied by the grid for configuration 2



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