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Your search keyword '"Dalala, Zakariya M."' showing total 19 results
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19 results on '"Dalala, Zakariya M."'

3. Analysis and Design Methodology of a Novel Integration Topology of Storageless Off-Grid PV Systems

Author

Dalala, Zakariya M., AlAqbani, Saba Z., Khirfan, Dima R., Alhamad, Layth H., Al-Addous, Mohammad, and Barbana, Nesrine

Subjects
ddc:620
Abstract

In this manuscript, a novel topology is proposed to integrate on-grid and off-grid PV systems supplying the same load premises. The load side is investigated and analyzed, and critical and non-critical loads are separated in terms of power supply. Critical and seasonal loads usually place stress on the grid’s point of common coupling (PCC). In the proposed topology, they are supplied by a novel topology for an off-grid solar pump PV system that lacks energy storage integration. The lack of energy storage batteries requires a novel design and sizing scheme for the off-grid PV system, and a methodology is proposed in this manuscript. The on-grid PV system is conventionally designed and coupled with the storage-less off-grid PV system to maintain load supply. The proposed methodology minimizes the ratings of the PCC and hence relieves stress on congested grids with renewable energy penetration, especially in condensed urban areas. The proposed structure enables the operation of microgrids with high penetration levels of renewable energy resources and minimizes dependance on storage batteries for off-grid systems. A case study is presented and thoroughly analyzed with the proposed methodology. The outcomes of the design process are evaluated economically and were found to be feasible, as is detailed and supported with simulation results.

Published
2022

6. Battery Charging Application with Thermoelectric Generators as Energy Harvesters

Author

Dalala, Zakariya M., Hamdan, Zaid S., Al-Taani, Hussein, Al-Addous, Mohammad, Albatayneh, Aiman, Dalala, Zakariya M., Hamdan, Zaid S., Al-Taani, Hussein, Al-Addous, Mohammad, and Albatayneh, Aiman

Abstract

This paper discusses and presents the implementation of a boost converter as power electronic interface to be used with the thermoelectric generator (TEG). The common application for such system is the battery charger. The boundary conditions for battery chargers include the charging current and battery voltage limits which have to be respected throughout the charging process, while the maximization of the power generated from the TEG is a global target that is desired to be met as much as possible. Coordinated control algorithm that collectively combines these constraints is the main focus of this work. Novel global control algorithm is proposed and verified in this paper with detailed analysis that shows the effectiveness of the proposed algorithm. Dual control loops for the voltage and current of the boost converter will be designed and analyzed to satisfy the source and load demands. Maximum power point tracking (MPPT) mode, power matching mode and voltage stabilization mode will be integrated in the control algorithm of the battery charger. This paper puts a schematic design for a system that harvests energy from a thermoelectric generator bank of a TEG1-12611-6.0 TEG modules in order to charge a battery bank of Samsung ICR18650 Batteries using constant current (CC) and constant voltage (CV) charging profiles.

Published
2019

9. Modeling and Controller Design of a Bidirectional Resonant Converter Battery Charger

Author

Electrical and Computer Engineering, Dalala, Zakariya M., Zahid, Zaka Ullah, Saadeh, Osama S., Lai, Jih-Sheng, Electrical and Computer Engineering, Dalala, Zakariya M., Zahid, Zaka Ullah, Saadeh, Osama S., and Lai, Jih-Sheng

Abstract

In this paper, a controller design methodology is proposed for a CLLLC-type bidirectional resonant converter. The soft switching of all devices in this topology and the very high operating frequency lead to increased overall system efficiency. However, the dynamic nature of this converter is highly dependent on loading conditions, which proves challenging when designing the voltage and current closed-loop controllers. System instability is mainly due to the high-Q resonant peaking, which is observed in the open-loop bode-plots. In this paper, the controller design methodology is proposed, which accounts for the dynamics behavior due to load variations. The controller stability will be evaluated against the entire range of operating switching frequency. Both battery charging and regeneration modes will be described and analyzed. The focal contribution of this paper will focus on defining the worst operating scenarios for the converter using system-level modeling and analysis. In addition, the controller will be defined based on these operating points. To validate and verify the controller design methodology proposed, a 3.5-kW converter is designed with the appropriate output voltage and current loop controllers. The step response verified a stable system designed and thus proving the proposed controller design methodology.

Published
2018

17. Modeling and Control of Series–Series Compensated Inductive Power Transfer System

Author

Zahid, Zaka Ullah, Dalala, Zakariya M., Zheng, Cong, Chen, Rui, Faraci, William Eric, Lai, Jih-Sheng Jason, Lisi, Gianpaolo, and Anderson, David

Abstract

In this paper, a T-equivalent circuit for loosely coupled transformer, which does not involve magnetic coupling, is presented. A detailed dynamic analysis based on extended describing function technique is presented for a series-series compensated inductive power transfer system. The continuous-time large-signal model, the steady-state operating point, and the small-signal model are derived in an analytical closed-form. This model includes both the frequency and the phase-shift control. Simulation and experimental verification results of the derived models are presented to validate the presented analysis.

Published
2015
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18. Modeling the Time Duration Until the Adoption of Residential Rooftop Solar Photovoltaic Systems

Author

Hamed, Mohammad M., Al-Masri, Adnan, Dalala, Zakariya M., and AlSaleh, Raed J.

Abstract

This paper addresses two key decisions by households to adopt rooftop solar photovoltaic (PV) systems and the length of time until the adoption. It is hypothesized that these decisions are controlled by different mechanisms and should be modeled independently. This is the first attempt to formally estimate the length of time until the adoption to the authors’ knowledge. Two models are presented in this paper. The first is a mixed logit to model the respondents’ intention to adopt a solar PV system, and the second is a random parameters ordered probit to estimate the length of time until the adoption. Estimation results show that the number of electrical appliances, the households’ interest to harness economic benefits, and the type and characteristics of the dwelling motivate households to select a shorter duration until the adoption. Results also show that the majority (77.80%) of respondents with electric vehicles are highly likely to adopt a rooftop system and select a shorter time duration until adoption. In addition, a significant proportion (83.23%) of respondents with high monthly electricity bills is more likely to adopt a rooftop PV system and select a shorter time duration. Results show that the average monthly electricity bill for households with a PV system has decreased by 74.04%. Reducing monthly electricity bills is a key instigator for adopting a rooftop PV system. Our results confirm the hypothesis that even if there is an intent to adopt a rooftop solar PV system, the length of time until the adoption is controlled by another mechanism.

Published
2022
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19. A New Maximum Power Point Tracking (MPPT) Algorithm for Thermoelectric Generators with Reduced Voltage Sensors Count Control †.

Author

Dalala, Zakariya M., Saadeh, Osama, Bdour, Mathhar, and Zahid, Zaka Ullah

Subjects
*MAXIMUM power point trackers, *THERMOELECTRIC generators, *ESTIMATION theory, *ELECTRIC potential measurement, *ALGORITHMS
Abstract

This paper proposes a new maximum power point tracking (MPPT) algorithm for thermoelectric generators (TEG). The new-presented method is based on implementing an indirect open circuit voltage detection and short circuit current estimation methods, which will be used to directly control the TEG interface power converter, resulting in reaching the maximum power point (MPP) in minimal number of steps. Two modes of operation are used in the proposed algorithm, namely the perturb and observe (P&O) method for fine-tuning and the transient mode for coarse tracking of the MPP during fast changes that occur to the temperature gradient across the structure. A novel voltage sensing technique as well is proposed in this work, to reduce the number of voltage sensors used to control and monitor the power converter. The proposed strategy employs a novel approach to sense two different voltages using the same voltage sensor. The input and output voltage information is collected from an intermediate point in the converter. The reconstructed voltages are used in the control loops as well as for monitoring the battery output or load voltages. Simulation and experimental results are provided to validate the effectiveness of the proposed algorithm and the sensing technique. [ABSTRACT FROM AUTHOR]

Published
2018
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