Field study on operational performance and economics of lithium-polymer and lead-acid battery systems for consumer load management

Kim, S.K.; Cho, K.H.; Kim, Jae-Yeon; Byeon, Gilsung

doi:10.1016/j.rser.2019.06.041

Cited by 15 publications

(16 citation statements)

References 19 publications

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“…In the same way, Table 8 shows the PV system the Payback Period for high and low electricity cost situations calculated according to Equation (40). For a PBP shorter than the PV lifetime (30 years), Table 8 also includes the percentage difference between the PBP of Cases 1, 2, and 3 compared to Case 0.…”

Section: Resultsmentioning

confidence: 99%

“…Most battery manufacturers specify the capacity of their batteries for a certain discharge time of hour t (h) and the temperature range is 20-25 • C. For example, C t (25 • C) = 500 Ah. This means that the battery will deliver 500 Ah if discharged at such a rate that the discharge time is t hours at 25 • C. Using this example, if t = 10 h, the rate would be I 10 = 50 A. Kim et al [40] highlight that batteries in real-use conditions lose their capacity considerably quicker than suggested by manufacturers.…”

Section: Capacitymentioning

confidence: 99%

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Influence of Degradation Processes in Lead–Acid Batteries on the Technoeconomic Analysis of Photovoltaic Systems

Delgado-Sánchez

Lillo-Bravo

2020

Energies

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Most technoeconomic feasibility studies of photovoltaic (PV) systems with batteries are mainly focused on the load demand, PV system profiles, total system costs, electricity price, and the remuneration rate. Nevertheless, most do not emphasise the influence degradation process such as corrosion, sulphation, stratification, active material seeding, and gassing on battery lifetime, efficiency, and capacity. In this paper, it is analysed the influence of the degradation processes in lead–acid batteries on the technoeconomic analysis of PV systems with and without battery. Results show that Net Present Value (NPV), Payback Period (PBP), and Discounted PayBack Period (DPBP) have a heavy dependence on the assumptions about the value of the battery performance parameters according to its degradation processes. Results show NPV differences in the range from −307% to 740%, PBP differences in the range from 9% to 188%, and DPBP differences in the range from 0% to 211%.

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Section: Resultsmentioning

confidence: 99%

Section: Capacitymentioning

confidence: 99%

Influence of Degradation Processes in Lead–Acid Batteries on the Technoeconomic Analysis of Photovoltaic Systems

Delgado-Sánchez

Lillo-Bravo

2020

Energies

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“…In recent years Li-ion batteries have demonstrated suitable behaviour for MicroGrid (MG) applications, thanks to their high energy density (80-200 Wh/kg), high energy efficiency (90-97%), and fast response time (<5 ms) [6]. In contrast, Li-ion batteries cannot handle the seasonality of solar energy properly due to the selfdischarging phenomenon (<5%/month) and the sharp increase of installation costs according to their capacity [7]. On the contrary, hydrogen storage has become an important long-term seasonal ESS for enabling the energy transition, on account of its high energy capacity Energy assigned to fuel cells if in zone 1 (Wh)…”

Section: Introductionmentioning

confidence: 99%

Two-level hierarchical model predictive control with an optimised cost function for energy management in building microgrids

2021

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“…To meet the need of batteries in e‐bikes, Lithium‐ion or lithium polymer batteries are used, because they are lighter and smaller in size …”

Section: Introductionmentioning

confidence: 99%

“…To meet the need of batteries in e-bikes, Lithium-ion or lithium polymer batteries are used, because they are lighter and smaller in size. [13][14][15] Since the old battery chargers used bridge diodes, the current harmonics were very high. Nowadays, battery chargers are microprocessor controlled and current harmonics have decreased to very low levels.…”

Section: Introductionmentioning

confidence: 99%

Sliding mode controller‐based e‐bike charging station for photovoltaic applications

Huang

Feng

Ghaderi

2020

Int Trans Electr Energ Syst

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Summary PV‐based and wired type of the electrical bicycles (e‐bike) battery charging stations widely is spreading because of the resonant network limitations and low efficiency of the wireless mode for these stations. The generated voltage of many of the PV panels such as JIYANGYIN HR‐200 W‐24 V at the maximum power point is around 36VDC. So, a step‐down converter with a PID controller for Maximum Power Point Tracking (MPPT) of the PV panels is considered between PV panels and boost converter in order to decrease this voltage and enhance the current values for the load side. A sliding mode controller (SMC) equipped with a non‐isolated DC‐DC boost converter with reduced voltage stresses on the power switch is presented. The step‐up converter increases the voltage to the utility level of the e‐bike with around 360 Wh amount of energy. The main concerns about the converters are the efficiency, voltage, and current stresses, number of active or passive components in the converter topology and simplicity. In comparison with a conventional step‐up converter, the selected converter has a lower dynamic loss in the input inductor that can give a proper efficiency by considering its higher voltage gain. The average state‐space model for the SMC is used and the main advantage of the controller is its independency to the inductor current or the amount of the load. The proposed SMC is compared with PID and Fuzzy Logic Controller (FLC) methods and based on the results, the robustness, overshoot, and damping factor of the controller are at an acceptable and better level. All mathematical, simulation and comparison results are presented. A 720 Wh circuit has been implemented for charging all types of the Li‐Ion or Li‐Polymer batteries with 36VDC and 10 Ah specifications.

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Field study on operational performance and economics of lithium-polymer and lead-acid battery systems for consumer load management

Cited by 15 publications

References 19 publications

Influence of Degradation Processes in Lead–Acid Batteries on the Technoeconomic Analysis of Photovoltaic Systems

Influence of Degradation Processes in Lead–Acid Batteries on the Technoeconomic Analysis of Photovoltaic Systems

Two-level hierarchical model predictive control with an optimised cost function for energy management in building microgrids

Sliding mode controller‐based e‐bike charging station for photovoltaic applications

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