scholarly journals Analyzing the Impact of Bapco 5 MW Solar PV Grid-Connected Project on Bahrain’s Outlook for Energy-Mix Production

2019 ◽  
Vol 08 (03) ◽  
pp. 72-91
Author(s):  
Naser Waheeb Alnaser ◽  
Waheeb Essa Alnaser
Keyword(s):  
Solar Pv ◽  
Energy Mix ◽  
Pv Grid ◽  
The Impact

scholarly journals Solar PV Grid Power Flow Analysis

2019 ◽  
Vol 11 (6) ◽  
pp. 1744 ◽  
Author(s):  
Qais Alsafasfeh ◽  
Omar Saraereh ◽  
Imran Khan ◽  
Sunghwan Kim
Keyword(s):  
Power System ◽  
Power Flow ◽  
Power Grid ◽  
Load Flow ◽  
Small Scale ◽  
Solar Pv ◽  
Voltage Fluctuation ◽  
Power Sources ◽  
Pv Grid ◽  
The Impact

As the unconstrained integration of distributed photovoltaic (PV) power into a power grid will cause changes in the power flow of the distribution network, voltage deviation, voltage fluctuation, and so on, system operators focus on how to determine and improve the integration capacity of PV power rationally. By giving full consideration to the static security index constraints and voltage fluctuation, this paper proposes a maximum integration capacity optimization model of the PV power, according to different power factors for the PV power. Moreover, the proposed research analyzes the large-scale PV grid access capacity, PV access point, and multi-PV power plant output, by probability density distribution, sensitivity analysis, standard deviation analysis, and over-limit probability analysis. Furthermore, this paper establishes accessible capacity maximization problems from the Institute of Electrical and Electronics Engineers (IEEE) standard node system and power system analysis theory for PV power sources with constraints of voltage fluctuations. A MATLAB R2017B simulator is used for the performance analysis and evaluation of the proposed work. Through the simulation of the IEEE 33-node system, the integration capacity range of the PV power is analyzed, and the maximum integration capacity of the PV power at each node is calculated, providing a rational decision-making scheme for the planning of integrating the distributed PV power into a small-scale power grid. The results indicate that the fluctuations and limit violation probabilities of the power system voltage and load flow increase with the addition of the PV capacity. Moreover, the power loss and PV penetration level are influenced by grid-connected spots, and the impact of PV on the load flow is directional.

Analysis of latent impeding factors to solar photovoltaic investments in Ghana

2020 ◽  
Vol 14 (4) ◽  
pp. 669-682 ◽  
Author(s):  
David Mensah Sackey ◽  
De-Graft Owusu-Manu ◽  
Richard Ohene Asiedu ◽  
Adam Braimah Jehuri
Keyword(s):  
Source Area ◽  
Future Research ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Content Type ◽  
Energy Mix ◽  
Multiple Indicators ◽  
Importance Index ◽  
The Government ◽  
The Impact

Purpose Ghana has recently reviewed its renewable energy Act 835 with an objective of providing 10% of its energy from renewables by 2020 (Ackah and Asomani, 2015). Meanwhile, solar Photovoltaic (PV) accounts for less than 2% of the energy mix (Energy Commission, 2018). In combating environmental issues such as climate change and meeting these policy targets, there is the urgent need to increase investment into the renewable sector. Therefore, the purpose of this paper is to critically examine the impeding constraints to photovoltaic investment in Ghana. Design/methodology/approach The Literature evaluation was carried out of critical constraints surrounding PV investments. Questionnaire was developed and administered online using Google form. Descriptive statistics was used to describe the features of each constraint. In addition, inferential analysis using relative importance index was used to rank these indicators. Again, one sample t-test was used to test the significance of the indicator. Multiple indicators were used to measure the latent constructs. Finally, independent test of mean equity was used to test relationship between the working experiences of despondence who have worked with solar PV below five years and those who worked from five years to ten years. Findings The research has highlights high installation and maintenance costs, lack of access to long-term capital finance, access to affordable consumer finance and lack of support to research and development as the major investment obstacles to solar PV investment in Ghana. Research limitations/implications It is recommended that the Government of Ghana should provide incentives such as tax waivers, which will encourage entrepreneurs, invest into PV. In addition, it is recommended that solar PV companies must collaborate with financial institutions to provide low interest and flexible consumer financing schemed that can enable home users to purchase the technology. Future research should complement this work by focusing on the impact of domestic currency volatility on PV investment. The scope of this study is constrained to the PV industry in Ghana. Practical implications This study will serve as a guide to the private sector business owners to help make critical PV investment decisions. It has also brought to the forefront the reason why solar PV account for a small fraction of Ghana’s energy mix. Originality/value This paper seeks to espouse the prevailing constraints to PV investment in Ghana and seeks to contribute to already existing literature that will make profound changes in state policy around PV investment. By understanding these difficulties, driving pointers can be recognized to encourage effective future venture inside the sustainable power source area. In this way, the research leads to a better understanding of the impeding factors that hinders PV investment in Ghana. Again, the paper has achieved new discovery with regards to variations between years of experience with PV use. The variation being less than five years with over five years of PV use. By understanding these difficulties, driving pointers can be recognized to invigorate effective future ventures.

Occupational Safety Implications of the Changing Energy Mix

2018 ◽  
Author(s):  
Jeremy M. Gernand
Keyword(s):  
Nuclear Power ◽  
Occupational Safety ◽  
Risk Mitigation ◽  
Environmental Benefits ◽  
Worker Safety ◽  
Solar Pv ◽  
Energy Mix ◽  
Injury Burden ◽  
Developed Nations ◽  
The Impact

Renewable energy and natural gas are displacing coal and nuclear power in many parts of the world as sources of electricity. While, the environmental benefits of such changes seem clear, the impact on worker safety, especially in developed nations is less clear. Coal mining is a relatively dangerous occupation, though one that has grown significantly safer in recent decades. Manufacturing and installation of solar photovoltaic (PV) power may pose less risk to workers on a per hour basis, but the number of worker hours necessary to generate a Megawatt-hour of electricity is currently higher for solar PV than it is for coal-generated power. The implications for the overall occupational burden of accidental deaths and injuries has not been previously detailed. This paper presents the results of a Monte Carlo sensitivity analysis for changes in total worker injuries and injury rates under different assumptions for the future energy mix in developed nations. Projections from the Energy Information Agency (EIA) and other organizations together with documented productivity gains for the various energy industries provide test cases for this analysis. The analysis indicates that future occupational fatality and injury burden of the energy sector is highly dependent on improvements in safety in the expanding industries, while specific projections on the share of specific technologies is less critical. This result highlights the need to invest in occupational risk mitigation in these industries.

scholarly journals The Economic Effects of Electromobility in Sustainable Urban Public Transport

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 878 ◽  
Author(s):  
Oliwia Pietrzak ◽  
Krystian Pietrzak
Keyword(s):  
Public Transport ◽  
Research Study ◽  
Renewable Energy Sources ◽  
Economic Benefits ◽  
Economic Effects ◽  
Urban Transport ◽  
Energy Mix ◽  
Zero Emission ◽  
The Impact ◽  
The Given

This paper focuses on effects of implementing zero-emission buses in public transport fleets in urban areas in the context of electromobility assumptions. It fills the literature gap in the area of research on the impact of the energy mix of a given country on the issues raised in this article. The main purpose of this paper is to identify and analyse economic effects of implementing zero-emission buses in public transport in cities. The research area was the city of Szczecin, Poland. The research study was completed using the following research methods: literature review, document analysis (legal acts and internal documents), case study, ratio analysis, and comparative analysis of selected variants (investment variant and base variant). The conducted research study has shown that economic benefits resulting from implementing zero-emission buses in an urban transport fleet are limited by the current energy mix structure of the given country. An unfavourable energy mix may lead to increased emissions of SO2 and CO2 resulting from operation of this kind of vehicle. Therefore, achieving full effects in the field of electromobility in the given country depends on taking concurrent actions in order to diversify the power generation sources, and in particular on increasing the share of Renewable Energy Sources (RES).

scholarly journals Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources

2021 ◽  
Vol 13 (13) ◽  
pp. 7119
Author(s):  
Abbas Rabiee ◽  
Ali Abdali ◽  
Seyed Masoud Mohseni-Bonab ◽  
Mohsen Hazrati
Keyword(s):  
Electrical Energy ◽  
High Energy ◽  
Combined Heat And Power ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Solar Pv ◽  
Distributed Energy ◽  
Robust Scheduling ◽  
Battery Energy ◽  
The Impact

In this paper, a robust scheduling model is proposed for combined heat and power (CHP)-based microgrids using information gap decision theory (IGDT). The microgrid under study consists of conventional power generation as well as boiler units, fuel cells, CHPs, wind turbines, solar PVs, heat storage units, and battery energy storage systems (BESS) as the set of distributed energy resources (DERs). Additionally, a demand response program (DRP) model is considered which has a successful performance in the microgrid hourly scheduling. One of the goals of CHP-based microgrid scheduling is to provide both thermal and electrical energy demands of the consumers. Additionally, the other objective is to benefit from the revenues obtained by selling the surplus electricity to the main grid during the high energy price intervals or purchasing it from the grid when the price of electricity is low at the electric market. Hence, in this paper, a robust scheduling approach is developed with the aim of maximizing the total profit of different energy suppliers in the entire scheduling horizon. The employed IGDT technique aims to handle the impact of uncertainties in the power output of wind and solar PV units on the overall profit.

scholarly journals Impact of Photovoltaic Plant Outputs in Distribution Networks

2018 ◽  
Vol 225 ◽  
pp. 04024 ◽  
Author(s):  
Abid Ali Jamali ◽  
Nursyarizal Mohd Nor ◽  
Taib Ibrahim ◽  
Mohd Fakhizan Romlie ◽  
Zahid Khan
Keyword(s):  
Low Voltage ◽  
Distribution Networks ◽  
Weather Data ◽  
Time Varying ◽  
Solar Pv ◽  
Farm Life ◽  
Plant Yields ◽  
Module Efficiency ◽  
Photovoltaic Plant ◽  
The Impact

This paper evaluates the potential of Quaid-e-Azam Solar Park (QASP), Pakistan and examines its impact on distribution networks. To estimate the PV plant yields, solar park’s historical hourly weather data from the years 2000 - 2014 is used. For handling of such huge data, the yearly data is partitioned into four seasons. Further, the seasonal data is modelled by using Beta Probability Density Function (PDF) and a 24 hour solar curve for each season is generated. The solar farm power outputs are tested in IEEE 33 bus distribution network by using time-varying seasonal hourly loads, meanwhile system losses and bus voltages are calculated. The results show that with the passage of time, the impact of solar PV power on reduction of system losses gradually decrease due to yearly degradation of PV module efficiency. System losses at end of PV farm life are 10 - 12% higher than those losses as in the first year. Furthermore, low voltage buses also pose to risk as system voltages also start to decrease. From the analysis, it is suggested that for maintaining the quality of network, time varying detailed assessments should be performed during the calculations of sizing of distributed generation.

scholarly journals A Linear Regression Model for THD Sensitivity in PV Based Microgrid with Varying Insolation Levels

2022 ◽  
pp. 179-186
Author(s):  
Yuvraj Praveen Soni ◽  
Eugene Fernandez
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Solar Irradiance ◽  
Harmonic Distortion ◽  
System Control ◽  
Solar Pv ◽  
Pv System ◽  
Simulink Model ◽  
The Impact

Solar PV systems can be used for powering small microgrids in rural area of developing countries. Generally, a solar power microgrid consists of a PV array, an MPPT, a dc-dc converter and an inverter, particularly as the general loads are A.C in nature. In a PV system, reactive current, unbalancing in currents, and harmonics are generated due to the power electronics-based converters as well as nonlinear loads (computers induction motors etc). Thus, estimation of the harmonics levels measured by the Total Harmonic Distortion (THD) is an essential aspect of performance assessment of a solar powered microgrid. A major issue that needs to be examined is the impact of PV system control parameters on the THD. In this paper, we take up this assessment for a small PV based rural microgrid with varying levels of solar irradiance. A Simulink model has been developed for the study from which the THD at equilibrium conditions is estimated. This data is in turn used to design a generalized Linear Regression Model, which can be used to observe the sensitivity of three control variables on the magnitude of the THD. These variables are: Solar Irradiance levels, Power Factor (PF) of connected load magnitude of the connected load (in kVA) The results obtained show that the greatest sensitivity is obtained for load kVA variation.

scholarly journals Modeling of Photovoltaic Module Using the MATLAB

2019 ◽  
Vol 9 ◽  
pp. 59-69
Author(s):  
Alok Dhaundiyal ◽  
Divine Atsu
Keyword(s):  
Standard Test ◽  
Electrical Performance ◽  
Photovoltaic Module ◽  
Solar Pv ◽  
Pv Module ◽  
Proposed Model ◽  
Current Voltage ◽  
Pv Modules ◽  
The Impact ◽  
The Mathematical Model

This paper presents the modeling and simulation of the characteristics and electrical performance of photovoltaic (PV) solar modules. Genetic coding is applied to obtain the optimized values of parameters within the constraint limit using the software MATLAB. A single diode model is proposed, considering the series and shunt resistances, to study the impact of solar irradiance and temperature on the power-voltage (P-V) and current-voltage (I-V) characteristics and predict the output of solar PV modules. The validation of the model under the standard test conditions (STC) and different values of temperature and insolation is performed, as well as an evaluation using experimentally obtained data from outdoor operating PV modules. The obtained results are also subjected to comply with the manufacturer’s data to ensure that the proposed model does not violate the prescribed tolerance range. The range of variation in current and voltage lies in the domain of 8.21 – 8.5 A and 22 – 23 V, respectively; while the predicted solutions for current and voltage vary from 8.28 – 8.68 A and 23.79 – 24.44 V, respectively. The measured experimental power of the PV module estimated to be 148 – 152 W is predicted from the mathematical model and the obtained values of simulated solution are in the domain of 149 – 157 W. The proposed scheme was found to be very effective at determining the influence of input factors on the modules, which is difficult to determine through experimental means.

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