A Review of Feed-In Tariff Model (FIT) for Photovoltaic (PV)

Prahastono, Iswan; Sinisuka, Ngapuli I.; Nurdin, Muhammad; Nugraha, Herry

doi:10.1109/ichveps47643.2019.9011131

Cited by 8 publications

(8 citation statements)

References 5 publications

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“…According to [11], the main idea of the FiT model is to guarantee the investor a form of financial support in the term of investment cost subsidy or an incentive for energy production (for a certain amount of time). As technology improves and installation costs reduce, FiT subsidies or incentives should decrease respectively with time.…”

Section: Feed-in Tariff Model (Fit)mentioning

confidence: 99%

“…According to data collected in [11], an overview of the FiT models implemented in the various EU and other European countries is shown in Table 1. As can be seen in Figure 1a, the mean values for the hours in a day for all days throughout August have been lifted due to the strong influence of outliers (empty circles), while the outliers have much less impact on the median values.…”

Section: Feed-in Tariff Model (Fit)mentioning

confidence: 99%

“…According to data collected in [11], an overview of the FiT models implemented in the various EU and other European countries is shown in Table 1.…”

Section: Feed-in Tariff Model (Fit)mentioning

confidence: 99%

“…As stated in [11] and [12], there are two methods for measuring and quantifying the electrical energy of a PV system connected to the grid; the gross metering and net metering method. In the gross metering measurement method, all of the PV production is directly fed to the grid and is subject to FiT, while the consumption of a household is subject to the current retail rates, as shown in Figure 2.…”

Section: Feed-in Tariff Model (Fit)mentioning

confidence: 99%

“…Most of the specified countries apply the flat FiT tariff with a subsidy component in exchange for costs as a consequence of impacting the system due to the stochastic nature of PV. Few other countries applied a high FiT rate to minimize subsidies, such as Denmark, Germany, Spain, and Cyprus [11].…”

Section: Feed-in Tariff Model (Fit)mentioning

confidence: 99%

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A Quadratically Constrained Optimization Problem for Determining the Optimal Nominal Power of a PV System in Net-Metering Model: A Case Study for Croatia

2021

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The world’s demand for electrical energy is increasing rapidly while the use of fossil fuels is getting limited more and more by energy policies and the need for reducing the impact of climate change. New sources of energy are required to fulfill the world’s demand for electricity and they are currently found in renewable sources of energy, especially in solar and wind power. Choosing the optimal PV nominal power minimizes the unnecessary surplus of electrical energy that is exported to the grid and thus is not making any impact on the grid more than necessary. Oversizing the PV system according to the Croatian net-metering model results in switching the calculation of the costs to the prosumer model which results in a decrease of the project’s net present value (NPV) and an increase in the payback period (PP). This paper focuses on formulating and solving the optimization problem for determining the optimal nominal power of a grid-connected PV system with a case study for Croatia using multiple scenarios in the variability of electricity production and consumption. In this paper, PV systems are simulated in the power range that corresponds to a typical annual high-tariff consumption in Croatian households. Choosing the optimal power of the PV system maximizes the investor’s NPV of the project as well as savings on the electricity costs. The PP is also minimized and is determined by the PV production, household consumption, discount rate, and geographic location. The optimization problem is classified as a quadratically constrained discrete optimization problem, where the value of the optimal PV power is not a continuous variable because the PV power changes with a step of one PV panel power. Modeling and simulations are implemented in Python using the Gurobi optimization solver.

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Section: Feed-in Tariff Model (Fit)mentioning

confidence: 99%

Section: Feed-in Tariff Model (Fit)mentioning

confidence: 99%

“…According to data collected in [11], an overview of the FiT models implemented in the various EU and other European countries is shown in Table 1.…”

Section: Feed-in Tariff Model (Fit)mentioning

confidence: 99%

Section: Feed-in Tariff Model (Fit)mentioning

confidence: 99%

Section: Feed-in Tariff Model (Fit)mentioning

confidence: 99%

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