scholarly journals Standalone Photovoltaic Direct Pumping in Urban Water Pressurized Networks with Energy Storage in Tanks or Batteries

2020 ◽  
Vol 12 (2) ◽  
pp. 738 ◽  
Author(s):  
Miguel Ángel Pardo ◽  
Ricardo Cobacho ◽  
Luis Bañón
Keyword(s):  
Energy Source ◽  
Energy Consumption ◽  
Energy Storage ◽  
Water Consumption ◽  
Energy Production ◽  
Storage Systems ◽  
Green Energy ◽  
Energy Storage Systems ◽  
Photovoltaic Arrays ◽  
Electricity Grids

Photovoltaic energy production is nowadays one of the hottest topics in the water industry as this green energy source is becoming more and more workable in countries like Spain, with high values of irradiance. In water pressurized systems supplying urban areas, they distribute energy consumption in pumps throughout the day, and it is not possible to supply electromechanical devices without energy storages such as batteries. Additionally, it is not possible to manage energy demand for water consumption. Researchers and practitioners have proven batteries to be reliable energy storage systems, and are undertaking many efforts to increase their performance, capacity, and useful life. Water pressurized networks incorporate tanks as devices used for accumulating water during low consumption hours while releasing it in peak hours. The compensation tanks work here as a mass and energy source in water pressurized networks supplied with photovoltaic arrays (not electricity grids). This work intends to compare which of these two energy storage systems are better and how to choose between them considering that these two systems involve running the network as a standalone pumping system without being connected to electricity grids. This work also calculates the intermediate results, considering both photovoltaic arrays and electricity grids for supplying electricity to pumping systems. We then analyzed these three cases in a synthetic network (used in earlier research) considering the effect of irradiation and water consumption, as we did not state which should be the most unfavorable month given that higher irradiance coincides with higher water consumption (i.e., during summer). Results show that there is no universal solution as energy consumption depends on the network features and that energy production depends very much on latitude. We based the portfolio of alternatives on investments for purchasing different equipment at present (batteries, pipelines, etc.) based on economic criteria so that the payback period is the indicator used for finding the best alternative, which is the one with the lowest value.

scholarly journals A Predictive Control Strategy for Energy Management in Micro-Grid Systems

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1666
Author(s):  
Abdellatif Elmouatamid ◽  
Radouane Ouladsine ◽  
Mohamed Bakhouya ◽  
Najib El kamoun ◽  
Khalid Zine-Dine
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Predictive Control ◽  
Energy Production ◽  
Storage Systems ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Energy Storage Systems ◽  
Control Approach ◽  
Variable Nature

The integration of renewable energy sources (RES) was amplified, during the past decades, in order to tackle the challenges related to energy demands and CO2 increases. Recently, many initiatives have been taken by promoting the deployment and the usage of micro-grids (MG) in buildings, as decentralized systems, for energy production. However, the variable nature of RESs and the limited size of energy storage systems require the deployment of adaptive control strategies for efficient energy balance. In this paper, a generalized predictive control (GPC) strategy is introduced for energy management (EM) in MG systems. Its main objective is to efficiently connect the electricity generators and consumers in order to predict the most suitable actions for energy flow management. In fact, based on energy production and consumption profiles as well as the availability of energy storage systems, the proposed EM will be able to select the best suitable energy source for supplying the building’s loads. It will efficiently manage the usage of energy storage and the utility grid while maximizing RESs power generation. Simulations have been conducted, using real-sitting scenarios, and results are presented to validate the proposed predictive control approach by showing its effectiveness for MG systems control.

Designing graphene-wrapped nanoporous CuCo2O4 hollow spheres electrodes for high-performance asymmetric supercapacitors

2017 ◽  
Vol 5 (27) ◽  
pp. 14301-14309 ◽  
Author(s):  
S. Kamari Kaverlavani ◽  
S. E. Moosavifard ◽  
A. Bakouei
Keyword(s):  
Energy Storage ◽  
High Performance ◽  
Storage Systems ◽  
Rapid Development ◽  
Hollow Spheres ◽  
Green Energy ◽  
Energy Storage Systems ◽  
Asymmetric Supercapacitors ◽  
Portable Electronics ◽  
Increasing Demand

Increasing demand for green energy storage systems, arising from the rapid development of portable electronics, has triggered tremendous research efforts for designing new or high-performance electrodes.

Green energy storage chemistries based on neutral aqueous electrolytes

2014 ◽  
Vol 2 (28) ◽  
pp. 10739-10755 ◽  
Author(s):  
Zheng Chang ◽  
Yaqiong Yang ◽  
Minxia Li ◽  
Xiaowei Wang ◽  
Yuping Wu
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Smart Grids ◽  
Recent Progress ◽  
Storage Systems ◽  
Green Energy ◽  
Aqueous Electrolytes ◽  
Energy Storage Systems ◽  
Green Chemistries

Recent progress of energy storage systems based on neutral aqueous electrolytes provides some quite green chemistries with promising applications in electric vehicles and smart grids.

Metal Phosphides: Topical Advances to Design Supercapacitors

2021 ◽  
Author(s):  
Akanksha Agarwal ◽  
Babasaheb R. Sankapal
Keyword(s):  
Energy Consumption ◽  
Energy Storage ◽  
Research And Development ◽  
World Wide ◽  
Storage Systems ◽  
High Energy ◽  
Energy Storage Systems ◽  
Metal Phosphides ◽  
High Energy Storage

World-wide increased energy consumption and demand has aimed our prime requisites of high-energy storage systems with longer life. Hence, research and development on supercapacitors based on efficient and robust electrode...

scholarly journals Predicting the Redox Potentials of Phenazine Derivatives using DFT Assisted Machine Learning

2022 ◽  
Author(s):  
Siddharth Ghule ◽  
Soumya Dash ◽  
Sayan Bagchi ◽  
Kavita Joshi ◽  
Kumar Vanka
Keyword(s):  
Machine Learning ◽  
Energy Storage ◽  
Functional Groups ◽  
Functional Group ◽  
Storage Systems ◽  
Green Energy ◽  
Molecular Structures ◽  
Single Type ◽  
Redox Potentials ◽  
Energy Storage Systems

Here, four machine-learning models were employed to predict the redox potentials of phenazine derivatives in DME using DFT. A small dataset of 189 phenazine derivatives having only one type of functional group per molecule (20 unique groups) was used for the training. Models were validated on the external test-set containing new functional groups and diverse molecular structures and achieved reasonable accuracies (R2 > 0.57). Despite being trained on the molecules with a single type of functional group, models were able to predict the redox potentials of derivatives containing multiple and different types of functional groups with reasonable accuracy (R2 > 0.6). This type of performance for predicting redox potential from such a small and simple dataset of phenazine derivatives has never been reported before. Redox Flow Batteries (RFBs) are emerging as promising candidates for energy storage systems. However, new green and efficient materials are required for their widespread usage. We believe that the hybrid DFT-ML approach demonstrated in this report would help in accelerating the virtual screening of phenazine derivatives saving computational and experimental resources. This approach could potentially identify novel molecules for green energy storage systems such as RBF.

scholarly journals Towards Phase Change Materials for Thermal Energy Storage: Classification, Improvements and Applications in the Building Sector

2021 ◽  
Vol 11 (4) ◽  
pp. 1490
Author(s):  
Christina V. Podara ◽  
Ioannis A. Kartsonakis ◽  
Costas A. Charitidis
Keyword(s):  
Energy Consumption ◽  
Energy Storage ◽  
Phase Change ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Phase Change Materials ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Building Sector ◽  
Thermal Energy Storage Systems

The management of energy consumption in the building sector is of crucial concern for modern societies. Fossil fuels’ reduced availability, along with the environmental implications they cause, emphasize the necessity for the development of new technologies using renewable energy resources. Taking into account the growing resource shortages, as well as the ongoing deterioration of the environment, the building energy performance improvement using phase change materials (PCMs) is considered as a solution that could balance the energy supply together with the corresponding demand. Thermal energy storage systems with PCMs have been investigated for several building applications as they constitute a promising and sustainable method for reduction of fuel and electrical energy consumption, while maintaining a comfortable environment in the building envelope. These compounds can be incorporated into building construction materials and provide passive thermal sufficiency, or they can be used in heating, ventilation, and air conditioning systems, domestic hot water applications, etc. This study presents the principles of latent heat thermal energy storage systems with PCMs. Furthermore, the materials that can be used as PCMs, together with the most effective methods for improving their thermal performance, as well as various passive applications in the building sector, are also highlighted. Finally, special attention is given to the encapsulated PCMs that are composed of the core material, which is the PCM, and the shell material, which can be inorganic or organic, and their utilization inside constructional materials.

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