Musa Anwar Omar

Academic Degree: Master

Supervisor Type: Supervisor

Supervisor State: Ungraduated

Design and Performance Assessment of a Floating PV Power Generation System

Mohammed A. Dawood

Academic Degree: Master

Supervisor Type: Supervisor

Supervisor State: Ungraduated

Optimal Energy Management for Future Smart Homes considering Demand Response Strategies and uncertainties

Stochastic Expansion planning Model for a coordinated Natural gas and Electricity Networks Coupled with Gas-fired Generators, Power-to-Gas Facilities and Renewable Power

Journal IEEE Access

publisher IEEE

DOI https://doi.org/10.1109/ACCESS.2024.3434558

Volume 12

This paper presents a stochastic expansion planning model for coordinated natural gas and electricity networks, incorporating gas-fired generators, Power-to-Gas facilities, and renewable power sources. The primary objective is to minimize the total cost over the planning horizon, addressing the significant interdependencies between these networks which, if planned independently, can lead to higher overall costs. The originality of this work lies in its comprehensive integration of both systems, leveraging their synergies to optimize infrastructure investment and operational efficiency. Methodologically, the model employs mixed integer linear programming (MILP) within the General Algebraic Modelling System (GAMS), using a Scenario Tree concept to account for the stochastic nature of renewable energy sources (RESs) and load variations. Data from an adapted twenty-node Belgium gas network and a sixteen-bus UK electricity distribution system were utilized. Results demonstrate substantial cost savings and improved system performance with the integrated approach, validating the model’s effectiveness.

Read Publication

A review of the configurations, capabilities, and cutting-edge options for multistage solar stills in water desalination

Journal Designs

publisher MDPI

DOI https://doi.org/10.3390/designs7030067

Issue 3

Volume 7

first_pagesettingsOrder Article Reprints Open AccessReview A Review of the Configurations, Capabilities, and Cutting-Edge Options for Multistage Solar Stills in Water Desalination by Farhan Lafta Rashid 1ORCID,Amr Kaood 2ORCID,Mudhar A. Al-Obaidi 3,4ORCID,Hayder I. Mohammed 5ORCID,Alanood A. Alsarayreh 6,Nizar F. O. Al-Muhsen 4,Ammar S. Abbas 7ORCID,Rana H. A. Zubo 8,Abdulrahman Th. Mohammad 3,Salih Alsadaie 9ORCID,Md. Tanvir Sowgath 10,Raed Abd-Alhameed 11,12,*ORCID andIqbal M. Mujtaba 13,*ORCID 1 Petroleum Engineering Department, College of Engineering, University of Kerbala, Karbala 56001, Iraq 2 Mechanical Engineering Department, Faculty of Engineering, Fayoum University, El-Fayoum 63514, Egypt 3 Technical Institute of Baquba, Middle Technical University, Baghdad 10074, Iraq 4 Technical Instructor Training Institute, Middle Technical University, Baghdad 10074, Iraq 5 Department of Physics, College of Education, University of Garmian, Kurdistan, Kalar 46021, Iraq 6 Chemical Engineering Department, Faculty of Engineering, Mutah University, Karak 61710, Jordan 7 Chemical Engineering Department, University of Baghdad, Baghdad 10074, Iraq 8 Technical Engineering College Kirkuk, Northern Technical University, Kirkuk 36001, Iraq 9 Chemical Engineering Department, University of Sirte, Sirte P.O. Box 674, Libya 10 Department of Chemical Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh add Show full affiliation list * Authors to whom correspondence should be addressed. Designs 2023, 7(3), 67; https://doi.org/10.3390/designs7030067 Submission received: 25 January 2023 / Revised: 29 April 2023 / Accepted: 16 May 2023 / Published: 18 May 2023 Downloadkeyboard_arrow_down Browse Figures Versions Notes Abstract The desalination of saltwater is a viable option to produce freshwater. All the desalination processes are energy-intensive and can be carried out on a large scale. Therefore, producing freshwater using renewable energy sources is the most desirable option considering the current energy crisis and the effect that fossil-fuel-based energy has on our carbon footprint. In this respect, the tray-type still, one of several solar power desalination still varieties, is popular owing to its straightforward design, economic materials of construction, and minimal maintenance requirements, especially in isolated island regions with restricted energy and natural water supplies. The traditional tray-type solar power has a few drawbacks, such as the inability to recover latent heat from condensation, reduced thermal convection, a large heat capacity, and comparatively minimal driving power through evaporation. Therefore, the improvement of heat and mass transfer capabilities in tray-type stills has been the subject of many studies. However, there is a lack of a comprehensive review in the open literature that covers the design and operational details of multistage solar stills. The purpose of this paper is to present a thorough overview of the past research on multistage solar stills, in terms of configurations, capabilities, and cutting-edge options. In comparison to a unit without a salt-blocking formation, the review indicates that a multistage distillation unit may run continuously at high radiation and generate pure water that is around 1.7 times higher than a unit without a salt-blocking formation. The most effective deign is found to be “V”-shaped solar still trays that attach to four-stage stills, since they are less expensive and more economical than the “floor” (Λ-shape) design, which requires two collectors. Additionally, it can be stated that the unit thermal efficiency, solar percentage, and collected solar energy (over the course of a year) increase by 23%, 18%, and 24%, respectively, when the solar collectors are increased by 26% (at the constant inflow velocity of the water).

Read Publication

Evaluation of solar energy powered seawater desalination processes: a review

Journal Energies

publisher MDPI

DOI https://doi.org/10.3390/en15186562

Issue 18

Volume 15

Solar energy, amongst all renewable energies, has attracted inexhaustible attention all over the world as a supplier of sustainable energy. The energy requirement of major seawater desalination processes such as multistage flash (MSF), multi-effect distillation (MED) and reverse osmosis (RO) are fulfilled by burning fossil fuels, which impact the environment significantly due to the emission of greenhouse gases. The integration of solar energy systems into seawater desalination processes is an attractive and alternative solution to fossil fuels. This study aims to (i) assess the progress of solar energy systems including concentrated solar power (CSP) and photovoltaic (PV) to power both thermal and membrane seawater desalination processes including MSF, MED, and RO and (ii) evaluate the economic considerations and associated challenges with recommendations for further improvements. Thus, several studies on a different combination of seawater desalination processes of solar energy systems are reviewed and analysed concerning specific energy consumption and freshwater production cost. It is observed that although solar energy systems have the potential of reducing carbon footprint significantly, the cost of water production still favours the use of fossil fuels. Further research and development on solar energy systems are required to make their use in desalination economically viable. Alternatively, the carbon tax on the use of fossil fuels may persuade desalination industries to adopt renewable energy such as solar.

Read Publication

Planning of multi-vector energy systems with high penetration of renewable energy source: A comprehensive review

Journal Energies

publisher MDPI

DOI https://doi.org/10.3390/en15155717

Issue 15

Volume 15

The increasing use of high shares of renewable energy sources (RESs) in the current electricity network introduces challenges to the design and management of the electricity network due to the variation and uncertainty nature of the RESs. Some existing energy infrastructures, such as heat, gas, and transport, all have some level of inbuilt storage capacity and demand response (DR) potentials that can be exploited in an energy system integration to give the electricity network some level of flexibility and promote an efficient transition to a low-carbon, resilient, and robust energy system. The process of integrating different energy infrastructure is known as multi-vector energy systems (MESs). This paper reviews different studies on the planning of MESs using the energy hubs (EHs) approach. The EHs model used in this paper links different energy vectors such as gas, electricity, and heat energy vectors in its planning model, as opposed to planning each energy vector independently, in order to provide more flexibility in the system, minimise total planning cost, and encourage high penetration of renewable energy source for future energy demands. In addition, different uncertainty modelling and optimization methods that have been used in past studies in planning of EH are classified and reviewed to ascertain the appropriate techniques for addressing RESs uncertainty when planning future EH. Numerical results show 12% reduction in the planning cost in the case of integrated planning with other energy vectors compared to independent planning.

Read Publication

Optimal Expansion Planning of Integrated natural gas and electricity network with high penetration of wind and solar power under uncertainty

Journal 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)

publisher IEEE

DOI https://doi.org/10.1109/MELECON53508.2022.9842898

The utilisation of gas-fired generators (GFGs) has expanded in recent decades, increasing the link between electricity and natural gas network (NGN). As a result, regardless of interconnectedness, planning any particular system rises the total cost of the entire system. An effective expansion planning optimization model for an integrated NGN and electrical distribution networks is presented in this paper. To be more specific, the suggested model's objectives are to determine which and where candidate pipes, compressors, and electrical lines should be constructed in order to obtain the lowest feasible investment cost while fulfilling future energy demands. Furthermore, the proposed model uses a scenario Tree to account for the stochastic and intermittent characteristics of wind and solar power supply including load demand. GAMS and the CPLEX solver are used to deduce a new model stated by a mixed-integer nonlinear stochastic profile. On a modified 16bus UK generic electricity distribution system (UKGDS) and a modified Belgian 20-node NG distribution scheme, the success of the suggested model is validated. Numerical results shows a 10% reduction cost when both integrated networks are plan simultaneously as compared to the traditional method in which natural gas and electricity networks are plan separately.

Read Publication

Detection and diagnosis of stator and rotor electrical faults for three-phase induction motor via wavelet energy approach

Journal Electronics

publisher MDPI

DOI https://doi.org/10.3390/electronics11081253

Issue 8

Volume 11

Download PDFsettingsOrder Article Reprints Open AccessArticle Detection and Diagnosis of Stator and Rotor Electrical Faults for Three-Phase Induction Motor via Wavelet Energy Approach by Ameer M. Hussein 1,Adel A. Obed 1,Rana H. A. Zubo 2,Yasir I. A. Al-Yasir 3,*ORCID,Ameer L. Saleh 4ORCID,Hussein Fadhel 2,Akbar Sheikh-Akbari 5ORCID,Geev Mokryani 3ORCID andRaed A. Abd-Alhameed 3,6ORCID 1 Electrical Engineering Technical College, Middle Technical University, Baghdad 10001, Iraq 2 Technical Engineering College Kirkuk, Northern Technical University, Kirkuk 00964, Iraq 3 Biomedical and Electronics Engineering, Faculty of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK 4 Department of Electrical Engineering, University of Misan, Misan 62001, Iraq 5 School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds LS6 3QR, UK 6 Information and Communication Engineering Department, College of Science and Technology, Basrah University, Basra 61004, Iraq * Author to whom correspondence should be addressed. Electronics 2022, 11(8), 1253; https://doi.org/10.3390/electronics11081253 Submission received: 3 January 2022 / Revised: 3 April 2022 / Accepted: 4 April 2022 / Published: 15 April 2022 (This article belongs to the Special Issue Power Quality Conditioning and Stability Enhancement of More-Electronics Power Systems) Downloadkeyboard_arrow_down Browse Figures Versions Notes Abstract This paper presents a fault detection method in three-phase induction motors using Wavelet Packet Transform (WPT). The proposed algorithm takes a frame of samples from the three-phase supply current of an induction motor. The three phase current samples are then combined to generate a single current signal by computing the Root Mean Square (RMS) value of the three phase current samples at each time stamp. The resulting current samples are then divided into windows of 64 samples. Each resulting window of samples is then processed separately. The proposed algorithm uses two methods to create window samples, which are called non-overlapping window samples and moving/overlapping window samples. Non-overlapping window samples are created by simply dividing the current samples into windows of 64 samples, while the moving window samples are generated by taking the first 64 current samples, and then the consequent moving window samples are generated by moving the window across the current samples by one sample each time. The new window of samples consists of the last 63 samples of the previous window and one new sample. The overlapping method reduces the fault detection time to a single sample accuracy. However, it is computationally more expensive than the non-overlapping method and requires more computer memory. The resulting window samples are separately processed as follows: The proposed algorithm performs two level WPT on each resulting window samples, dividing its coefficients into its four wavelet subbands. Information in wavelet high frequency subbands is then used for fault detection and activating the trip signal to disconnect the motor from the power supply. The proposed algorithm was first implemented in the MATLAB platform, and the Entropy power Energy (EE) of the high frequency WPT subbands’ coefficients was used to determine the condition of the motor. If the induction motor is faulty, the algorithm proceeds to identify the type of the fault. An empirical setup of the proposed system was then implemented, and the proposed algorithm condition was tested under real, where different faults were practically induced to the induction motor. Experimental results confirmed the effectiveness of the proposed technique. To generalize the proposed method, the experiment was repeated on different types of induction motors with different working ages and with different power ratings. Experimental results show that the capability of the proposed method is independent of the types of motors used and their ages.

Read Publication

Optimal Operation of Energy Hub with high penetration of renewable energy sources

Journal IMDC-IST 2021: Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey

publisher European Alliance for Innovation

Integration of electricity and gas networks increases system flexibility while also increasing energy efficiency. In such a connected infrastructure, the energy hub (EH) plays a critical role in energy production, conversion, and storage. This research provides a new method to EH operation that takes into account renewable energy sources (RESs) and battery energy storage systems (BESS). The suggested model's goal is to reduce total energy costs by optimising total energy prices based on hourly power and heat demand while taking into account hub restrictions. The impact of energy prices, load demands, RESs, and BESS on the EH model's performance has also been explored. Three operational case studies based on distinct EH structures were used to investigate the optimization problem. The CPLEX solver in the general algebraic modelling system (GAMS) software is used to solve a Mixed integer linear programming (MILP) formulation for the optimization problem. The simulation findings demonstrate a decrease in the cost of market-purchased energy.

Read Publication

Flyback photovoltaic micro-inverter with a low cost and simple digital-analog control scheme

Journal Energies

publisher MDPI

DOI https://doi.org/10.3390/en14144239

Issue 14

Volume 14

The single-stage flyback Photovoltaic (PV) micro-inverter is considered as a simple and small in size topology but requires expensive digital microcontrollers such as Field-Programmable Gate Array (FPGA) or Digital Signal Processor (DSP) to increase the system efficiency, this would increase the cost of the overall system. To solve this problem, based on a single-stage flyback structure, this paper proposed a low cost and simple analog-digital control scheme. This control scheme is implemented using a low cost ATMega microcontroller built in the Arduino Uno board and some analog operational amplifiers. First, the single-stage flyback topology is analyzed theoretically and then the design consideration is obtained. Second, a 120 W prototype was developed in the laboratory to validate the proposed control. To prove the effectiveness of this control, we compared the cost price, overall system efficiency, and THD values of the proposed results with the results obtained by the literature. So, a low system component, single power stage, cheap control scheme, and decent efficiency are achieved by the proposed system. Finally, the experimental results present that the proposed system has a maximum efficiency of 91%, with good values of the total harmonic distortion (THD) compared to the results of other authors.

Read Publication

Techno-Economic Viability Test of Renewable Energy Supply Options in Developing Countries: Jordan Case Study

Journal Renewable energy

publisher Renewable energy

Issue 10

Volume 6

Read Publication

Active distribution network operation: A market-based approach

Journal IEEE Systems Journal

publisher IEEE

DOI 10.1109/JSYST.2019.2927442

Issue 1

Volume 14

This article proposes a novel technique for operation of distribution networks with considering active network management (ANM) schemes and demand response (DR) within a joint active and reactive distribution market environment. The objective of the proposed model is to maximize social welfare using market-based joint active and reactive optimal power flow. First, the intermittent behavior of renewable sources (solar irradiance, wind speed) and load demands is modeled through scenario-tree technique. Then, a network frame is recast using mixed-integer linear programming, which is solvable using efficient off-the-shelf branch-and cut solvers. Additionaly, this article explores the impact of wind and solar power penetration on the active and reactive distribution locational prices within the distribution market environment with integration of ANM schemes and DR. A realistic case study (16-bus UK generic medium voltage distribution system) is used to demonstrate the effectiveness of the proposed method.

Read Publication

A Stochastic Market-based Approach for Operation of Active Distribution Networks

Journal 2019 IEEE Power & Energy Society General Meeting (PESGM)

publisher IEEE

DOI https://doi.org/10.1109/PESGM40551.2019.8973573

This paper proposes a novel technique for operation of distribution networks with considering active network management (ANM) schemes and demand response (DR) within a joint active and reactive distribution market environment. The objective of proposed model is to maximize social welfare (SW) using market-based joint active and reactive optimal power flow (OPF). Firstly, the intermittent behavior of renewable sources (solar irradiance, wind speed) and load demands is modeled through Scenario-Tree technique. Then, a network frame is recast using mixed-integer linear programming (MILP), which is solvable using efficient off-the-shelf branch-and cut solvers. Additionaly, this work explores the impact of wind and solar power penetration on the active and reactive distribution locational marginal prices (D-LMPs) within the distribution market environment with integration of ANM schemes and DR. A realistic case study (16-bus UK generic medium voltage distribution system) is used to demonstrate the effectiveness of the proposed method.

Read Publication

Planning of HMG with high penetration of renewable energy sources

Journal IET Renewable Power Generation

publisher IET

DOI https://doi.org/10.1049/iet-rpg.2018.6024

Issue 10

Volume 13

Hybrid AC–DC microgrid (HMG) allows direct integration of both AC distributed generators (DGs) and DC DGs, AC and DC loads into the grid. The AC and DC sources and loads are separated out and are connected to respective subgrid mainly to reduce the power conversion; thus the overall efficiency of the system increases. This study aims to introduce a novel HMG planning model within a microgrid market environment to maximise net social welfare (NSW). NSW is defined as the present value of total demand payment minus the present value of total planning cost, including the investment cost of distributed energy sources (DERs) and converters, operation cost of DERs, and the cost of energy exchange with the utility grid subject to network constraints. The scenario tree approach is used to model the uncertainties related to load demand, wind speed, and solar irradiation. The effectiveness of the proposed model is validated through the simulation studies on a 28-bus real HMG.

Read Publication

Partial noise subspace method for DOA estimation applications

Journal 2018 2nd International Conference for Engineering, Technology and Sciences of Al-Kitab (ICETS)

publisher IEEE

DOI https://doi.org/10.1109/ICETS.2018.8724621

This paper presents a new Angle of Arrival (AoA) method to overcome the problem of spurious peaks that appear with Pisarenko Harmonic Decomposition (PHD) algorithm. The proposed method is called Partial Noise Subspace (PNS); it picks k-subsets of the rows/columns of the noise subspace matrix. The PNS algorithm is computational load than the Multiple Signal Classification (MUSIC) in the grid searching stage, while not debasing the performance of angle estimation. The idea and working principle of the proposed method are presented and the mathematical model is derived. Numerical simulations are achieved with a different signal to noise ratio to show the effect of the false peaks. A Monte Carlo simulation with a different number of antenna elements is implemented and results verified that the detection performance and estimation accuracy of the PNS and MUSIC are comparable and both are much better than the PHD algorithm. It is also demonstrated that PNS presents a lower computational load than the MUSIC method.

Read Publication

Optimal operation of distribution networks with high penetration of wind and solar power within a joint active and reactive distribution market environment

Journal Applied energy

publisher Elsevier

DOI https://doi.org/10.1016/j.rser.2016.10.036

Volume 220

In this paper, a stochastic approach for the operation of active distribution networks within a joint active and reactive distribution market environment is proposed. The method maximizes the social welfare using market based active and reactive optimal power flow (OPF) subject to network constraints with integration of demand response (DR). Scenario-Tree technique is employed to model the uncertainties associated with solar irradiance, wind speed and load demands. It further investigates the impact of solar and wind power penetration on the active and reactive distribution locational prices (D-LMPs) within the distribution market environment. A mixed-integer linear programming (MILP) is used to recast the proposed model, which is solvable using efficient off-the shelf branch-and cut solvers. The 16-bus UK generic distribution system is demonstrated in this work to evaluate the effectiveness of the proposed method. Results show that DR integration leads to increase in the social welfare and total dispatched active and reactive power and consequently decrease in active and reactive D-LMPs.

Read Publication

Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review

Journal Renewable and Sustainable Energy Reviews

publisher Elsevier

DOI https://doi.org/10.1016/j.apenergy.2018.02.016

Volume 72

Distributed generators (DGs) are a reliable solution to supply economic and reliable electricity to customers. It is the last stage in delivery of electric power which can be defined as an electric power source connected directly to the distribution network or on the customer site. It is necessary to allocate DGs optimally (size, placement and the type) to obtain commercial, technical, environmental and regulatory advantages of power systems. In this context, a comprehensive literature review of uncertainty modeling methods used for modeling uncertain parameters related to renewable DGs as well as methodologies used for the planning and operation of DGs integration into distribution network. The authors strongly recommend this review to researchers, scientists and engineers who are working in this field of research work.

Read Publication

Stochastic approach for active and reactive power management in distribution networks

Journal 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT)

publisher IEEE

DOI https://doi.org/10.1109/CoDIT.2017.8102634

In this paper, a stochastic method is proposed to assess the amount of active and reactive power that can be injected/absorbed to/from grid within a distribution market environment. Also, the impact of wind power penetration on the reactive and active distribution-locational marginal prices is investigated. Market-based active and reactive optimal power flow is used to maximize the social welfare considering uncertainties related to wind speed and load demand. The uncertainties are modeled by Scenario-based approach. The proposed model is examined with 16-bus UK generic distribution system.

Read Publication

Evaluation of stand alone remote area hybrid power system

Journal International Journal of Electrical and Electronics Engineering (IJEEE)

publisher IASET

Issue 1

Volume 3

The aim of this paper is to find the best hybrid combination from the available resources in a given village location that can meet the electricity demand in a sustainable manner and to see whether this is a cost effective solution or not. A model of electricity generation was structured based on multiple combinations of hybrid system with the application of HOMER energy software at an identified off-grid village location in Iraq. This model analyzes the techno-economic factors with respect to the cost of energy COE generation and then compares these performance indicators to grid extension related costs.

Read Publication