A real-time energy management strategy for pumped hydro storage systems in farmhouses

Mousavi, Navid; Kothapalli, Ganesh; Habibi, Daryoush; Lachowicz, Stefan; Moghaddam, Valeh

doi:10.1016/j.est.2020.101928

Cited by 19 publications

(7 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 8 (a) illustrated the effect of solar flux, PV module temperature, and atmospheric temperature on the PV module output current generated. Figure 8 (a) shows that if the SF increases, the output current is continuously increased, but enhancement in module temperature reduces the output current since the increased temperature of the PV module increases the semiconductor material's resistivity 32) . Figure 8 (b) shows that if the atmospheric temperature is below 30°C, then an increase in AT increases the output current since the temperature difference between the PV module and the atmospheric is less due to that heat loss is small 33) .…”

Section: Variation Of Current With the Input Parametersmentioning

confidence: 99%

Optimization and Validation of Solar Pump Performance by MATLAB Simulink and RSM

Singh¹,

Yadav²,

Kumar³

2022

Evergreen

View full text Add to dashboard Cite

In this paper, a 335 W solar panel with a centrifugal pump combined system was simulated in MATLAB Simulink 2018 with fuzzy logic-based MPPT, and the voltage, current, power, and discharge four output responses were determined at different values of solar flux, module temperature, and atmospheric temperature. Further, the output responses voltage, current, power output, and discharge data have been optimized in Response Surface Methodology (RSM). The output data of RSM and MATLAB Simulink is used to determine the solar pump's theoretical performance and overall efficiency. Finally, the RSM-optimized results of solar pumps are validated with the experimental results of the solar pump. The experimental setup consists of 15 panels of 335 W power and a 5 hp submersible pump operated by an AC motor. The experimental data were collected from 15/01/2020 to 15/12/2020. The optimization of the solar pump by the three most important variables solar flux, module temperature, and the atmosphere temperature is very new and unique since the selected input variables maximize the overall performance of the solar pump.

show abstract

Section: Variation Of Current With the Input Parametersmentioning

confidence: 99%

Optimization and Validation of Solar Pump Performance by MATLAB Simulink and RSM

Singh¹,

Yadav²,

Kumar³

2022

Evergreen

View full text Add to dashboard Cite

show abstract

“…The three main issues analyzed in the methodology are: at which nodes the PATs will be placed, at which time steps they will be activated within 24 h, and how much theoretical energy is available for recovery without creating problems in the operation of the network. In the literature, similar strategies for real-time management of energy production using AAN have been proposed [49]. The innovation elements of the proposed method are: the combined use of an artificial intelligence method with a metaheuristic algorithm at the same model and an attempt to answer the three questions mentioned above: PAT position, activation time, and how much pressure to exploit.…”

Section: Subject Case Study Location Referencementioning

confidence: 99%

Smart Hydropower Water Distribution Networks, Use of Artificial Intelligence Methods and Metaheuristic Algorithms to Generate Energy from Existing Water Supply Networks

Karakatsanis

Theodossiou

2022

Energies

View full text Add to dashboard Cite

In this paper, the possibility of installing small hydraulic turbines in existing water-supply networks, which exploit the daily pressure fluctuations in order to produce energy, is examined. For this purpose, a network of five pressure sensors is developed, which is connected to an artificial intelligence system in order to predict the daily pressure values of all nodes of the network. The sensors are placed at the critical nodes of the network. The locations of the critical nodes are implemented by applying graph theory algorithms to the water distribution network. EPANET software is used to generate the artificial intelligence training data with an appropriate external call from a Python script. Then, an improvement model is implemented using the Harmony Search Algorithm in order to calculate the daily pressure program, which can be allocated to the turbines and, consequently, the maximum energy production. The proposed methodology is applied to a benchmark water supply network and the results are presented.

show abstract

“…The optimum configurations of different hybrid systems are evaluated considering techno-economic and environmental indicators. The most commonly used commercial software tools for hybrid energy simulation include HOMER, hybrid power system simulation model, 167 general algebraic modeling system (GAMS), 129 GIS, 168 optimization of renewable intermittent energies with hydrogen for autonomous electrification, 169 linear, interactive, and discrete optimizer, determining optimum integration of RES, 170 OptQuest, 171 dividing rectangles (DIRECT), 170 WDILOG2, 172 simulation of photovoltaic energy systems (SimPhoSys), 173 geo-spatial planner for energy investment strategies, 174 grid-connected renewable hybrid systems optimization, 175 and H 2 RES. 176 Among these various software tools, HOMER has probably been the most popular one developed by National RE Laboratory (NREL).…”

Section: Commercial Simulation Tools For Hesmentioning

confidence: 99%

A review on pump‐hydro storage for renewable and hybrid energy systems applications

Das

Mustafi

et al. 2021

Energy Storage

View full text Add to dashboard Cite

The integration of storage technologies into the hybrid energy system (HES) offers significant stability in delivering electricity to a remote community. In addition, the benefits of using storage devices for achieving high renewable energy (RE) contribution to the total energy supply are also paramount. The present study provides a detailed review on the utilization of pump‐hydro storage (PHS) related to the RE‐based stand‐alone and grid‐connected HESs. The PHS‐based HESs have been analyzed considering the technical details, including reliability, cost‐effectiveness, and environmental indicators. The optimization techniques are critically employed to the PHS‐based systems, including metaheuristics intelligent techniques, commercially available optimization and simulation tools, and recent advanced optimization tools. A comparative analysis of PHS integration to the stand‐alone and grid‐connected systems based on techno‐economic and environmental indicators over other storage technologies is also presented. The key technical and environmental challenges related to the PHS‐based HES are identified. Results from the recent research studies indicate that the PHS‐based HESs offer significant cost and environmental benefits over battery storage technologies. The study identifies that the particle swarm optimization is the mostly appreciated optimizing technique for cost‐effective energy supply and environmental aspects followed by hybrid optimization model for electric renewables and genetic algorithm.

show abstract

A real-time energy management strategy for pumped hydro storage systems in farmhouses

Cited by 19 publications

References 39 publications

Optimization and Validation of Solar Pump Performance by MATLAB Simulink and RSM

Optimization and Validation of Solar Pump Performance by MATLAB Simulink and RSM

Smart Hydropower Water Distribution Networks, Use of Artificial Intelligence Methods and Metaheuristic Algorithms to Generate Energy from Existing Water Supply Networks

A review on pump‐hydro storage for renewable and hybrid energy systems applications

Contact Info

Product

Resources

About