Optimum battery size selection in standalone renewable energy systems

Delavaripour, Hossein; Karshenas, Hamid Reza; Bakhshai, Alireza; Jain, Prerna

doi:10.1109/intlec.2011.6099826

Cited by 8 publications

(2 citation statements)

References 8 publications

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“…The fixed cost in this case, includes the initial and the installation costs of the battery bank, while the non-fixed costs, otherwise referred to the variable costs include the replacement and the maintenance costs over the project life. The costs or cash flows over the specified project life are estimated in terms of present value using the present value factor [85,87,88]:…”

Section: Optimum Battery Capacitymentioning

confidence: 99%

Battery Storage Technologies for Electrical Applications: Impact in Stand-Alone Photovoltaic Systems

2017

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Batteries are promising storage technologies for stationary applications because of their maturity, and the ease with which they are designed and installed compared to other technologies. However, they pose threats to the environment and human health. Several studies have discussed the various battery technologies and applications, but evaluating the environmental impact of batteries in electrical systems remains a gap that requires concerted research efforts. This study first presents an overview of batteries and compares their technical properties such as the cycle life, power and energy densities, efficiencies and the costs. It proposes an optimal battery technology sizing and selection strategy, and then assesses the environmental impact of batteries in a typical renewable energy application by using a stand-alone photovoltaic (PV) system as a case study. The greenhouse gas (GHG) impact of the batteries is evaluated based on the life cycle emission rate parameter. Results reveal that the battery has a significant impact in the energy system, with a GHG impact of about 36-68% in a 1.5 kW PV system for different locations. The paper discusses new batteries, strategies to minimize battery impact and provides insights into the selection of batteries with improved cycling capacity, higher lifespan and lower cost that can achieve lower environmental impacts for future applications.

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Section: Optimum Battery Capacitymentioning

confidence: 99%

Battery Storage Technologies for Electrical Applications: Impact in Stand-Alone Photovoltaic Systems

2017

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“…The optimum calculation of battery size when used as energy storage in standalone systems with renewable energy resources focus in this analysis is on the effect of battery charging/discharging characteristics on system reliability and cost. The Loss of Load Expectation (LOLE) index to evaluate the reliability of a standalone system consisting of wind turbines and battery storage system by taking the charging efficiency and discharge rate into consideration, the resulted LOLE is lower than what is expected [9]. In [10], the loss-of-load-expectation (LOLE) is considered as a good working group for the bulk power system operation and analysis.…”

Section: Introductionmentioning

confidence: 99%

An Effective Simulation Technique to Evaluate Loss of Load Expectation

Masood¹

2013

JEEE

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Risk index of loss-of-load expectation is traditionally used to determine generation adequacy. However, because responsibility of generation installation and demand increases with different entities, both generation and load need to be examined to evaluate the resource adequacy of today's deregulated power systems. An electric utility's main concern is to plan, design, operate and maintain its power supply to provide an acceptable level of reliability to its users. This clearly requires that standards of reliability be specified and used in all three sectors of the power system, i.e., generation, transmission and distribution. Reliability indices have been defined for the three sectors separately as well as for the bulk power system. Reliability criteria may be determined at the selected load points in the system for different combination of generators and transmission line failures. This paper presents an effective simulation method for the reliability assessment of reliability index, loss-of-load expectation (LOLE). This method is applied to Bangladesh Power System (BPS). BPS has a total installed capacity of around 6550 MW. The maximum demand of BPS is about 5700 MW. The relevant data of the generators and hourly load profiles are collected from the National Load Dispatch Center (NLDC) of Bangladesh and reliability index 'LOLE' is assessed for the last six years.

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Dynamic modeling and power management for stand-alone AC-coupled photovoltaic system

Aly

2015

Energy Syst

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Optimum battery size selection in standalone renewable energy systems

Cited by 8 publications

References 8 publications

Battery Storage Technologies for Electrical Applications: Impact in Stand-Alone Photovoltaic Systems

Battery Storage Technologies for Electrical Applications: Impact in Stand-Alone Photovoltaic Systems

An Effective Simulation Technique to Evaluate Loss of Load Expectation

Dynamic modeling and power management for stand-alone AC-coupled photovoltaic system

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