Of a variety of new & renewable energy sources, photovoltaic generating plant is the one that is fastest spreading to buildings and growth of the spread of photovoltaic generating plants is based on the easiness by the simpleness of the equipment and immediately-realizable economic gains. The majori...
Of a variety of new & renewable energy sources, photovoltaic generating plant is the one that is fastest spreading to buildings and growth of the spread of photovoltaic generating plants is based on the easiness by the simpleness of the equipment and immediately-realizable economic gains. The majority of existing domestic studies on photovoltaic generating plant, however, are about generating efficiency of photovoltaic module and applicability to buildings, and studies on the economic feasibility are remain relatively inefficient. Thus, this study, to suggest base data on the spread of photovoltaic generating plants, is based upon the evaluation of economic feasibility of residential photovoltaic generating plants that few studies have been conducted. Unlike existing studies that set the price per kWh, this study which is based on the surveyed data of actual houses enabled a more reliable analysis by setting graded electric cost depending on the amount of electricity used with a graduate system applicable to actual residential buildings, and also facilitated comparison of uncertainty-reflected economic feasibility through Monte Carlo simulation. Followings are the summary of the method and procedure of this study. First, through an actual house monitoring system, this study collects wattage and power generation data which is a main element to calculate net profit at the time of LCC analysis through an actual house monitoring system. Through the foregoing, it becomes able to calculate annual total net profit of actual houses. Second, this study establishes an Excel spreadsheet model based on the data collected. At this time, this study heightens reliability of economic feasibility analysis by constructing a model based on a carryforward of power generation and graduate system typed charging system. Third, this study introduces Monte Carlo simulation to the established model. Through the method, this study executes an uncertainty-reflected analysis by applying probabilistic approach. Results of analysis on the economic feasibility of residential photovoltaic generating plant targeting 6 actual houses located in Daejeon are as follows. Through the effect of peak load reduction according to the use of electricity, it was confirmed that photovoltaic generating plant shows higher economic feasibility as compared to solar-powered houses that graduate system is applied. In addition, the amount of electric cost saving differs greatly according to the amount of electricity used, so payback period of initial investment costs of photovoltaic generating plant varies, and actual houses in this study marked 8~25 years of payback period respectively. Because payback period is within the persisting period, it is considered economic. As a result of sensitivity analysis on the residential photovoltaic generating plant, the rate of increase in electric cost showed the greatest influence on the savings of electric charges. To conclude, the price of photovoltaic module is dropping gradually, but the rate of increase in electric cost continues its upward trend. For the foregoing reason, initial investment and electric charges savings are expected to be fluctuating, so studies on the uncertainty of the aforementioned are considered necessary in the future.
Of a variety of new & renewable energy sources, photovoltaic generating plant is the one that is fastest spreading to buildings and growth of the spread of photovoltaic generating plants is based on the easiness by the simpleness of the equipment and immediately-realizable economic gains. The majority of existing domestic studies on photovoltaic generating plant, however, are about generating efficiency of photovoltaic module and applicability to buildings, and studies on the economic feasibility are remain relatively inefficient. Thus, this study, to suggest base data on the spread of photovoltaic generating plants, is based upon the evaluation of economic feasibility of residential photovoltaic generating plants that few studies have been conducted. Unlike existing studies that set the price per kWh, this study which is based on the surveyed data of actual houses enabled a more reliable analysis by setting graded electric cost depending on the amount of electricity used with a graduate system applicable to actual residential buildings, and also facilitated comparison of uncertainty-reflected economic feasibility through Monte Carlo simulation. Followings are the summary of the method and procedure of this study. First, through an actual house monitoring system, this study collects wattage and power generation data which is a main element to calculate net profit at the time of LCC analysis through an actual house monitoring system. Through the foregoing, it becomes able to calculate annual total net profit of actual houses. Second, this study establishes an Excel spreadsheet model based on the data collected. At this time, this study heightens reliability of economic feasibility analysis by constructing a model based on a carryforward of power generation and graduate system typed charging system. Third, this study introduces Monte Carlo simulation to the established model. Through the method, this study executes an uncertainty-reflected analysis by applying probabilistic approach. Results of analysis on the economic feasibility of residential photovoltaic generating plant targeting 6 actual houses located in Daejeon are as follows. Through the effect of peak load reduction according to the use of electricity, it was confirmed that photovoltaic generating plant shows higher economic feasibility as compared to solar-powered houses that graduate system is applied. In addition, the amount of electric cost saving differs greatly according to the amount of electricity used, so payback period of initial investment costs of photovoltaic generating plant varies, and actual houses in this study marked 8~25 years of payback period respectively. Because payback period is within the persisting period, it is considered economic. As a result of sensitivity analysis on the residential photovoltaic generating plant, the rate of increase in electric cost showed the greatest influence on the savings of electric charges. To conclude, the price of photovoltaic module is dropping gradually, but the rate of increase in electric cost continues its upward trend. For the foregoing reason, initial investment and electric charges savings are expected to be fluctuating, so studies on the uncertainty of the aforementioned are considered necessary in the future.
주제어
#경제성 주택용 태양광발전설비
※ AI-Helper는 부적절한 답변을 할 수 있습니다.