Optimal Sizing and Deployment of Gravity Energy Storage System in Hybrid Pv-Wind Power Plant

Emrani, Anisa; Berrada, Asmae; Bakhouya, Mohamed

doi:10.2139/ssrn.3878686

Cited by 2 publications

(4 citation statements)

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“…Finally, multi-objective optimization approaches in PV-battery optimization aim to simultaneously optimize multiple conflicting objectives such as cost, PV-battery size, environmental impact, etc. (Khezri et al, 2020) proposes a multi-objective optimization scheme for grid-connected households, where the cost of energy and grid dependency are considered as the objectives (Emrani et al, 2021). presents a multi-objective methodology to choose the optimal size of the PV-battery system using load and solar irradiance profiles.…”

Section: Introductionmentioning

confidence: 99%

Optimal sizing of photovoltaic-battery system for peak demand reduction using statistical models

Nematirad,

Pahwa,

Natarajan

et al. 2023

Front. Energy Res.

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Due to increasing environmental concerns and demand for clean energy resources, photovoltaic (PV) systems are becoming more prevalent. Considering that in several instances, customers pay for both energy and power, PV installations not only must reduce the customers’ energy purchases but also lower their peak demand for maximum financial benefits. However, in many cases, the peak demand does not coincide with the peak of photovoltaic generation. To address this issue, excess energy generated during low-demand periods can be stored in a battery, which can then be used to meet peak demand. Determining the optimal size of photovoltaic and battery components while ensuring system performance and financial benefits is significantly challenging. This study proposes a novel statistical methodology for optimizing PV-battery system size. In the proposed method, the PV-battery system must meet peak demand thresholds with a specific probability. Further, cost and benefit functions are used for financial evaluation. Finally, Monte Carlo simulations, developed using time series clustering and a Bayesian model are utilized to assess system performance and financial feasibility.

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Section: Introductionmentioning

confidence: 99%

Optimal sizing of photovoltaic-battery system for peak demand reduction using statistical models

Nematirad,

Pahwa,

Natarajan

et al. 2023

Front. Energy Res.

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“…GPM 18 has a system efficiency of 80%, 19 lifetime higher than 30 years 18 and levelized cost of energy (LCOE) of 0.148 $/kWh 19 . Meanwhile, besides its traditional installation form, Emrani et al 20 have optimally designed the GPM aboveground for a hybrid PV‐wind power plant and reduced the cost of GPM by eliminating the large share of excavation cost.…”

Section: Introductionmentioning

confidence: 99%

“…From the above discussion, it can be seen that GPM is a cheap and robust option for energy storage. But GPM is mainly demonstrated as underground storage in the literature except one 20 . While investigating the usage of GPM aboveground, Emrani et al 20 have overlooked the matter of utilization of space.…”

Section: Introductionmentioning

confidence: 99%

“…But GPM is mainly demonstrated as underground storage in the literature except one 20 . While investigating the usage of GPM aboveground, Emrani et al 20 have overlooked the matter of utilization of space. Therefore, mounting the GPM around a high‐rise building and charging it from rooftop solar PV can be a good option for the perfect utilization of space and solar energy.…”

Section: Introductionmentioning

confidence: 99%

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Solar PV driven hybrid gravity power module—Vanadium redox flow battery energy storage for an energy efficient multi‐storied building

Mondal

Mandal

Datta

2022

Intl J of Energy Research

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Summary This article presents an innovative perspective of using a gravity energy storage system namely gravity power module (GPM) around a multi‐storied building. Two number of GPMs have been vertically fixed around the walls of a multi‐storied building and have not been placed underground following the traditional way. The grid‐connected proposed hybrid system consisting of solar PV, GPMs and vanadium redox flow battery is focused to supply the maximum possible amount of an essential load of a high‐riser, through renewable energy. All of the storage systems are charged through solar PV. Whereas, the grid is used, to procure energy for the unmet load demand and sell the excess renewable energy. Results simulated for each month following seasonal load variation show that net energy supplied by the hybrid system is 99% of the full load demand of essential equipment of the building for the month of February and 90% to 91% for the month of January, November and December. During all the months, the supply of gravity energy storage is restricted to supply within the 18th to 24th hour to reduce the peak demand of the grid. The gravity energy storage is also considered as the primary storage system during those intervals. The yearly average of energy supply from the renewable resource in the proposed system toward the building load is found to be 47.77%. While considering the renewable energy sale toward the grid along the load supply of the building the yearly average of renewable energy penetration becomes 48.89%.

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Optimal Sizing and Deployment of Gravity Energy Storage System in Hybrid Pv-Wind Power Plant

Cited by 2 publications

References 0 publications

Optimal sizing of photovoltaic-battery system for peak demand reduction using statistical models

Optimal sizing of photovoltaic-battery system for peak demand reduction using statistical models

Solar PV driven hybrid gravity power module—Vanadium redox flow battery energy storage for an energy efficient multi‐storied building

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