scholarly journals Impact of Different Photovoltaic Models on the Design of a Combined Solar Array and Pumped Hydro Storage System

2020 ◽  
Vol 10 (10) ◽  
pp. 3650
Author(s):  
Hussein M. K. Al-Masri ◽  
Sharaf K. Magableh ◽  
Ahmad Abuelrub ◽  
Osama Saadeh ◽  
Mehrdad Ehsani
Keyword(s):  
Storage System ◽  
Pso Algorithm ◽  
Energy System ◽  
Solar Array ◽  
Emissions Reduction ◽  
Solar Panels ◽  
Reservoir Volume ◽  
Lower Reservoir ◽  
Whale Optimization ◽  
The Impact

The impact of different photovoltaic models for a combined solar array and pumped hydro storage system was investigated. Al-Wehda dam located in Harta city in the northern of Jordan was used to validate the approach. The two-diode (TD), single-diode (SD), and ideal single-diode (ISD) solar models were evaluated in terms of the solar array size, reliability, and ecological effects. The impoundment of Al-Wehda dam was taken as the upper reservoir of the pumped hydro facility of the proposed renewable energy system. It was found that the PV power is more accurately modelled by considering the recombination loss in the TD solar model. This leads to a more realistic sizing and precise system evaluation. Results were obtained using the particle swarm optimization (PSO) algorithm and the whale optimization algorithm (WOA) for validation purposes. For instance, the PSO results showed that the realistic TD model is reliable, with an index of reliability of 98.558%. Further, it is the most ecological solution with an annual emissions reduction of 21.5198 Gg. The optimized values are 44,840 solar panels and 65.052 M.m3 of the lower reservoir volume for the TD model. The number of PV panels are reduced by 16.67% and 7.93%, respectively, with the ISD and SD relative to the TD model.

scholarly journals Formulation and simulation of a hybrid solar PV-wind generation system with photovoltaic concentration for non-interconnected areas to the energy grid

2020 ◽  
Vol 181 ◽  
pp. 02002 ◽  
Author(s):  
José Luis Torres-Madroñero ◽  
Jorge Mario Tamayo-Avendaño ◽  
Santiago Bernal-del Río ◽  
Julián Sierra-Pérez ◽  
César Nieto-Londoño ◽  
...  
Keyword(s):  
Storage System ◽  
Energy System ◽  
Solar Pv ◽  
Solar Panels ◽  
Levelized Cost Of Electricity ◽  
Hybrid Renewable Energy System ◽  
Reduction Of Area ◽  
Wind Generation System ◽  
Isolated Systems ◽  
Power Curves

Different isolated systems with conventional generation sources are installed in Non-Interconnected Areas (ZNI) in Colombia while off-grid renewable systems are a trending answer for the energy supply in these regions. The complementarity between different energy sources, a storage system and adequate control can substantially improve the reliability of isolated generation systems. In this context, the sizing of a Hybrid Renewable Energy System (HRES) by means of a Genetic Algorithm (GA) is presented, considering the wind and solar resources specific to a representative rural location in Colombia. The methodology involves power curves for small wind turbines and the model for photovoltaic solar panels. The preliminary output consists of a weighted distribution for each technology, either wind or conventional photovoltaics, and is constrained by the Loss of Power Supply Probability (LPSP) and the Levelized Cost Of Electricity (LCOE). A second step consists of the optimization of the installed area for photovoltaic generation, considering a Concentrated Photovoltaic (CPV) system and aiming to maintain the initial fraction of generation for this resource. Finally, an analysis is performed on the reduction of area for solar generation to the increase in costs derived from the use of concentrators and other penalties associated with this technology.

scholarly journals Optimal Battery Sizing of a Grid-Connected Residential Photovoltaic System for Cost Minimization using PSO Algorithm

2019 ◽  
Vol 9 (6) ◽  
pp. 4905-4911
Author(s):  
N. Regis ◽  
C. M. Muriithi ◽  
L. Ngoo
Keyword(s):  
Power Systems ◽  
Cost Minimization ◽  
Storage System ◽  
Optimization Technique ◽  
Pso Algorithm ◽  
Energy System ◽  
Photovoltaic System ◽  
Pv System ◽  
Battery Capacity ◽  
Battery Energy

This paper proposes a new optimization technique that uses Particle Swarm Optimization (PSO) in residential grid-connected photovoltaic systems. The optimization technique targets the sizing of the battery storage system. With the liberation of power systems, the residential grid-connected photovoltaic system can supply power to the grid during peak hours or charge the battery during non-peak hours for later domestic use or for selling back to the grid during peak hours. However, this can only be achieved when the battery energy system in the residential photovoltaic system is optimized. The developed PSO algorithm aims at optimizing the battery capacity that will lower the operation cost of the system. The computational efficiency of the developed algorithm is demonstrated using real PV data from Strathmore University. A comparative study of a PV system with and without battery energy storage is carried out and the simulation results demonstrate that PV system with battery is more efficient when optimized with PSO.

scholarly journals Transmission Congestion Management using a Wind Integrated Compressed Air Energy Storage System

2017 ◽  
Vol 7 (4) ◽  
pp. 1746-1752
Author(s):  
S. Gope ◽  
A. K. Goswami ◽  
P. K. Tiwari
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Pso Algorithm ◽  
Congestion Management ◽  
Compressed Air ◽  
Stable Operation ◽  
Sensitivity Factor ◽  
Compressed Air Energy Storage ◽  
Transmission Congestion ◽  
The Impact

Transmission congestion is a vital problem in the power system security and reliability sector. To ensure the stable operation of the system, a congestion free power network is desirable. In this paper, a new Congestion Management (CM) technique, the Wind integrated Compressed Air Energy Storage (WCAES) system is used to alleviate transmission congestion and to minimize congestion mitigation cost. The CM problem has been solved by using the Generator Sensitivity Factor (GSF) and the Bus Sensitivity Factor (BSF). BSF is used for finding the optimal location of WCAES in the system. GSF with a Moth Flame Optimization (MFO) algorithm is used for rescheduling the generators to alleviate congestion and to minimize congestion cost by improving security margin. The impact of the WCAES system is tested with a 39 bus system. To validate this approach, the same problem has been solved with a Particle Swarm Optimization (PSO) algorithm and the obtained results are compared with the ones from the MFO algorithm.

scholarly journals Digital record of specimens, including voucher material, from the study of a pollinator habitat restoration site under a commercial solar array in Jackson County, Oregon, 2019

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Maggie Graham ◽  
Lincoln Best ◽  
Andrew R Moldenke
Keyword(s):  
Habitat Restoration ◽  
Solar Array ◽  
Solar Panels ◽  
Jackson County ◽  
Solar Arrays ◽  
Partial Shade ◽  
Voucher Specimens ◽  
Pollinating Insects ◽  
Accession Record ◽  
The Impact

Photovoltaic solar energy installation is booming, frequently near agricultural lands. Traditionally, the land underneath ground-mounted photovoltaic panels is unused, though some are repurposing it as habitat for pollinating insects. However, the impact of the solar panel canopy on the pollinator-plant community understory is unknown. In this study (Graham et al., 2020), we investigated the effects of solar arrays on plant composition, bloom timing and foraging behavior of pollinators in open fields (control), and in full shade and partial shade areas under solar panels in a predominant agricultural region of southern Oregon. Pollinating insect specimens were collected using hand nets, and identified to the lowest taxonomic group possible by M. Graham, A.R. Moldenke, and L.R. Best. A total of 85 voucher specimens were deposited into the Oregon State Arthropod Collection; accession record: OSAC_AC_2021_03_11_001-01.

scholarly journals Grid-edge technology - Exploring the flexibility potential of a heat pump and thermal energy storage system

2019 ◽  
Vol 111 ◽  
pp. 06002
Author(s):  
Christoph Schellenberg ◽  
Laurentiu Dimache ◽  
John Lohan
Keyword(s):  
Energy Storage ◽  
Heat Pump ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Storage System ◽  
Energy System ◽  
Heat Pumps ◽  
Local Climate ◽  
Effective Manner ◽  
The Impact

Grid-edge technologies (GET) enable and amplify the impact of three emerging energy system trends: electrification, decentralisation, and digitalisation. Smart grid integrated heat pumps with thermal energy storage enable both the electrification of heating and decentralised demand response. Such power-to-heat technologies simultaneously decarbonise heating and facilitate the grid integration of more variable renewable electricity in a cost-effective manner. This may help to explore and exploit untapped wind generation potential. This study explores the flexibility potential of a domestic scale heat pump with thermal energy storage in a typical Irish home in December. The system is simulated to investigate demand-side flexibility and sensitivity to both heat pump and thermal storage capacities for three days with wind energy shares of 7%, 25%, and 60%. Using real-time electricity prices and optimising for operational cost, the implicit demand flexibility potential is quantified with different combinations of heat pump power and storage capacity. The results suggest that 33-100% of critical loads can be shifted dynamically to low-cost periods. Optimised system design depends on local climate, heat demand profile, optimisation horizon, and the type of heat pump. Optimisation with genetic algorithm yielded near-global optimal results approximately 40 times faster than with exhaustive enumeration.

scholarly journals Optimal Scheduling of Hybrid Pumped Hydro Storage System using Linear Programming

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1575-1580
Keyword(s):  
Linear Programming ◽  
Wind Energy ◽  
Storage System ◽  
Operating Cost ◽  
Energy System ◽  
Optimal Scheduling ◽  
Solar Pv ◽  
Reservoir Volume ◽  
Wind Energy System ◽  
And Storage

This paper presents optimal scheduling of a gridconnected microgrid with grid, solar PV system, and wind energy system acting as sources and a local water reservoir actingas a storage system. Using mathematical models of solar PV, wind energy system, load profile, and pumped storage system, the optimization problem is formulated to minimize thedaily operating cost taking into account all the constraints. Using a modified linear programming algorithm based on varying price weight, an optimum schedule is obtained and the minimum operating cost is determined.Comparison of operating cost is carried out based on all possible combinations of available sources and storage system. Cases of maximum initial reservoir volume and minimum initial reservoir volume were considered for each combination of sources and storage system. Finally, by analyzing the simulation results and cost calculations, share of different renewable energy sources, grid, and storage system in meeting the load isobtained

scholarly journals Electric Vehicle Integration into Road Transportation, Intelligent Transportation, and Electric Power Systems: An Abu Dhabi Case Study

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1039-1057
Author(s):  
Amro M. Farid ◽  
Asha Viswanath ◽  
Reem Al-Junaibi ◽  
Deema Allan ◽  
Thomas J. T. Van der Van der Wardt
Keyword(s):  
Electric Power ◽  
Intelligent Transportation ◽  
Energy System ◽  
Transportation System ◽  
Electric Power System ◽  
Abu Dhabi ◽  
Road Transportation ◽  
Unit Distance ◽  
The Impact

Recently, electric vehicles (EV) have gained much attention as a potential enabling technology to support CO2 emissions reduction targets. Relative to their internal combustion vehicle counterparts, EVs consume less energy per unit distance, and add the benefit of not emitting any carbon dioxide in operation and instead shift their emissions to the existing local fleet of power generation. However, the true success of EVs depends on their successful integration with the supporting infrastructure systems. Building upon the recently published methodology for the same purpose, this paper presents a “systems-of-systems” case study assessing the impacts of EVs on these three systems in the context of Abu Dhabi. For the physical transportation system, a microscopic discrete-time traffic operations simulator is used to predict the kinematic state of the EV fleet over the duration of one day. For the impact on the intelligent transportation system (ITS), the integration of EVs into Abu Dhabi is studied using a multi-domain matrix (MDM) of the Abu Dhabi Department of Transportation ITS. Finally, for the impact on the electric power system, the EV traffic flow patterns from the CMS are used to calculate the timing and magnitude of charging loads. The paper concludes with the need for an intelligent transportation-energy system (ITES) which would coordinate traffic and energy management functionality.

scholarly journals Life Cycle Assessment of an Innovative Hybrid Energy Storage System for Residential Buildings in Continental Climates

2021 ◽  
Vol 11 (9) ◽  
pp. 3820
Author(s):  
Noelia Llantoy ◽  
Gabriel Zsembinszki ◽  
Valeria Palomba ◽  
Andrea Frazzica ◽  
Mattia Dallapiccola ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Residential Buildings ◽  
Storage System ◽  
Energy Storage System ◽  
Hot Water ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Innovative System ◽  
The Impact

With the aim of contributing to achieving the decarbonization of the energy sector, the environmental impact of an innovative system to produce heating and domestic hot water for heating demand-dominated climates is assessed is evaluated. The evaluation is conducted using the life cycle assessment (LCA) methodology and the ReCiPe and IPCC GWP indicators for the manufacturing and operation stages, and comparing the system to a reference one. Results show that the innovative system has a lower overall impact than the reference one. Moreover, a parametric study to evaluate the impact of the refrigerant is carried out, showing that the impact of the overall systems is not affected if the amount of refrigerant or the impact of refrigerant is increased.

scholarly journals Life Cycle Assessment (LCA) of an Innovative Compact Hybrid Electrical-Thermal Storage System for Residential Buildings in Mediterranean Climate

2021 ◽  
Vol 13 (9) ◽  
pp. 5322
Author(s):  
Gabriel Zsembinszki ◽  
Noelia Llantoy ◽  
Valeria Palomba ◽  
Andrea Frazzica ◽  
Mattia Dallapiccola ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impact ◽  
Mediterranean Climate ◽  
Residential Buildings ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Hot Water ◽  
Electrical Consumption ◽  
The Impact

The buildings sector is one of the least sustainable activities in the world, accounting for around 40% of the total global energy demand. With the aim to reduce the environmental impact of this sector, the use of renewable energy sources coupled with energy storage systems in buildings has been investigated in recent years. Innovative solutions for cooling, heating, and domestic hot water in buildings can contribute to the buildings’ decarbonization by achieving a reduction of building electrical consumption needed to keep comfortable conditions. However, the environmental impact of a new system is not only related to its electrical consumption from the grid, but also to the environmental load produced in the manufacturing and disposal stages of system components. This study investigates the environmental impact of an innovative system proposed for residential buildings in Mediterranean climate through a life cycle assessment. The results show that, due to the complexity of the system, the manufacturing and disposal stages have a high environmental impact, which is not compensated by the reduction of the impact during the operational stage. A parametric study was also performed to investigate the effect of the design of the storage system on the overall system impact.

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