Abstract
This paper introduces the design and analysis of a Photovoltaic (PV) system to supply the residential load of a house in Golpayegan, Iran. The paper’s procedure is the house's thermal modeling employing BEopt software to estimate the load data and then collect the primary meteorological data such as solar irradiance and temperature for the selected site. After these preliminary steps, system optimization for PV/grid and PV/diesel/battery models are developed using the HOMER software. The optimization found that the PV array required capacities are 5.17 kW and 6.19 kW, producing 9,346 kWh/yr and 11,196 kWh/yr for standalone and grid-connected PV systems, respectively. The results indicate that solar energy utilization is an attractive option for grid-connected and standalone PV systems, of which the net present costs (NPC) of each system are 12,180 US$, 40,618 US$, respectively. The system analyses show that adopting either a PV/grid or PV/diesel/battery system causes a reduction in not only dependency on fossil fuel but also in CO2 emission.
Highlights
Due to growing attention to climate change, many countries have agreed to reduce carbon emissions based on the Kyoto Protocol
Thermal modeling is completed with residential load estimation using BEopt software to estimate the house's power consumption based on the meteorological data, specification of the house, and the power consumption of typical appliances used by residents
load following (LF) control strategy is adopted in this study to manage the power generation
Summary
Due to growing attention to climate change, many countries have agreed to reduce carbon emissions based on the Kyoto Protocol. Carbon emissions must be reduced 50% by 2050 Those countries attempt to use environmentally friendly sources. When considering new technologies in RESs and the nonstationary characteristics of these RE sources, the optimal supervision and reliable power generation performance from RESs has been more critical in investigations done recently. These investigations examine the benefits and drawbacks of RE sources, the optimization of RESs, environmental pollution mitigation, and enhancement in the system's final cost [3][5]
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