Investigating net-metering variant policies: The case of Greece

Christoforidis, Georgios C.; Panapakidis, Ioannis P.; Papagiannis, Grigoris K.; Papadopoulos, Theofilos A.; Koumparou, Ioannis; Hatzipanayi, Maria; Georghiou, George E.

doi:10.1109/eeeic.2015.7165486

Cited by 12 publications

(2 citation statements)

References 3 publications

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“…Moreover, after calculating the battery capacity at every time step, and if there would occur an excess of power not used to cover loads and the battery would be expected to be fully charged, the surplus power is suggested to be sent to the grid, via net metering 40 . Last, if it is anticipated that there would be no power production and consumption, the recommendation this method provides is that the battery capacity remains the same.…”

Section: Proposed Recommendation Methods and Algorithmmentioning

confidence: 99%

Day‐ahead scheduling of a hybrid renewable energy system based on generation forecasting using a deep‐learning approach

Zamanidou

Giannakopoulos

Pappa

et al. 2023

Energy Science & Engineering

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A significant amount of electricity in numerous regions worldwide is used for lighting roads, squares, and other public spaces. Renewable energy can contribute notably to electricity usage for public lighting. This paper focuses on the day-ahead scheduling of a hybrid renewable energy system (HRES) exploiting solar-wind energy potential to meet the electrical energy needs of public lighting. The studied HRES provides electricity for a Wi-Fi hotspot and a charging hotspot for the end users and has an energy storage system that ensures a reliable electricity supply without interruptions. The day-ahead scheduling of the studied HRES is based on electricity generation forecasting by using a deep-learning approach. Particularly, the long short-term memory model is utilized, considering the fact that it is able to perceive long-term dependencies among the time series. Moreover, the model's performance is investigated through the determination of diverse inputs: (a) historical data, (b) weather predictions, and (c) historical data with weather predictions. Multiple scenarios of energy consumption are assumed and applied to optimize the day-ahead scheduling. A new recommendation method is proposed and applied for day-ahead scheduling, utilizing the power forecasts to achieve optimum operation and energy savings. The results point out that the utilization of the proposed recommendation method controls loads when a shortage in power generation and battery capacity is forecasted for the day ahead, leading to significant energy savings and minimizing the power demand from the grid.

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Section: Proposed Recommendation Methods and Algorithmmentioning

confidence: 99%

Day‐ahead scheduling of a hybrid renewable energy system based on generation forecasting using a deep‐learning approach

Zamanidou

Giannakopoulos

Pappa

et al. 2023

Energy Science & Engineering

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“…Smart metering infrastructures (SMI) and net metering schemes in Europe are also widely used, and their policies are also considered while tacking the under-mind weather of the most European countries [40,41]. The economic evaluation of a series of net metering policies from a consumer bill, from the perspective of Greece, is also performed to evaluate policies provided by the government [42,43]. A linear program (LP) based algorithm is proposed to schedule battery storage for limiting reverse power flow with the customer objective of increasing operational savings in the context of net metering [44].…”

Section: Country Solar Rooftop Type Incentives Pv Modelmentioning

confidence: 99%

Optimal Sizing and Cost Minimization of Solar Photovoltaic Power System Considering Economical Perspectives and Net Metering Schemes

et al. 2021

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In this paper, economic feasibility of installing small-scale solar photovoltaic (PV) system is studied at the residential and commercial buildings from an end-user perspective. Based on given scenarios, the best sizing methodology of solar PV system installation has been proposed focusing primarily on the minimum payback period under given (rooftop) area for solar PV installation by the customer. The strategy is demonstrated with the help of a case study using real-time monthly load profile data of residential as well as commercial load/customers and current market price for solar PVs and inverters. In addition, sensitivity analysis has also been carried out to examine the effectiveness of net metering scheme for fairly high participation from end users. Since Saudi Arabia’s Electricity and Co-generation Regulatory Authority (ECRA) has recently approved and published the net metering scheme for small-scale solar PV systems allowing end users to generate and export energy surplus to the utility grid, the proposed scheme has become vital and its practical significance is justified with figures and graphs obtained through computer simulations.

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An agent-based model to simulate technology adoption quantifying behavioural uncertainty of consumers

2019

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Investigating net-metering variant policies: The case of Greece

Cited by 12 publications

References 3 publications

Day‐ahead scheduling of a hybrid renewable energy system based on generation forecasting using a deep‐learning approach

Day‐ahead scheduling of a hybrid renewable energy system based on generation forecasting using a deep‐learning approach

Optimal Sizing and Cost Minimization of Solar Photovoltaic Power System Considering Economical Perspectives and Net Metering Schemes

An agent-based model to simulate technology adoption quantifying behavioural uncertainty of consumers

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