scholarly journals Identification of Efficient Energy Source among Solar, Biomass and Battery for Electric Vehicle Charging using Novel Optimal Firefly Algorithm

2021 ◽  
Author(s):  
Nishant Kumar ◽  
Kumari Namrata
Keyword(s):  
Solar Energy ◽  
Firefly Algorithm ◽  
Renewable Energy Sources ◽  
Solar Panel ◽  
Annual Basis ◽  
Cost Of Energy ◽  
The Cost ◽  
Charging Stations ◽  
Ev Charging ◽  
Effective Source

Abstract Background: The EV (Electric Vehicles) is rapidly growing as a substitute to oil dependant vehicles to minimize the pollutant and greenhouse gas (GHS) emissions. Various charging schemes and grid integration techniques are introduced to minimize the impacts of EV charging. Hence, this study introduced a system that uses renewable energy sources (RES) like solar energy, biomass and battery for EV charging.Objective: This study intended to calculate the cost of the system design as well as variations in its cost during the usage on an annual basis. In addition, it used various energy conversion technologies such as solar panel, battery and biomass to find the effective source of energy for EV charging through the proposed novel Optimal Firefly Algorithm (OFA). Methodology: An initial setup is made that consists of number of buildings, overall load demand, ratings of EV charging, storage capacity, grid intake and solar panel. Then, the proposed novel OFA is used to find the count of EVs that gets charged from the charging stations and its choice of charging from the charging stations. The computation is performed on an annual basis for the cost, energy and count of EVs that arrive to the charging stations to get it charged. Results: The proposed methodology is used to compare the efficiency of the solar, biomass and battery efficiency in charging an EV through computation of Net present cost, Cost of Energy, EV savings and power generation. The results revealed that that the proposed system is effective than the traditional methods and effectively identified that the solar energy is the effective source for EV charging.

scholarly journals Performance Comparative Analysis of Monocrystalline and Polycrystalline Single Diode Solar Panel Models using the Five Parameters Method

2019 ◽  
Vol 1 (1) ◽  
pp. 14
Author(s):  
Rizal Akbarudin Rahman ◽  
Aripriharta Aripriharta ◽  
Hari Putranto
Keyword(s):  
Renewable Energy ◽  
Input Data ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Solar Panel ◽  
Solar Panels ◽  
Natural Conditions ◽  
Panel Models ◽  
The Cost ◽  
Module Performance

The use of renewable energy as a source of electrical energyincreases every year. Unfortunately, Indonesia does not have manypower plants that utilize renewable energy sources. The mostpotential renewable energy in Indonesia is the sunlight with the helpof solar panels that converts solar energy into electrical energy.However, the environment could affect the solar panel module andin turn, affect the performance of solar panels or the generatedelectric energy. This research calculated the performance of solarpanels with a single-diode model using the Five Parameters methodthat required solar panel module specification data, the totalradiation absorbed by the solar panel module, and the temperatureof the environment. The Five Parameters method is a methodmodeled after solar panel module performance in the form of thesingle-diode equivalent circuit. The Five Parameters method isreliable in predicting the energy produced by the solar panels whenthe input data is limited. The results for using the Five Parametersin monocrystalline solar panels were Isc = 1.827 A, Imp = 0.662 A,Voc = 18.221 V, Vmp = 15.019 V, Pmp = 9.955 W. And the results inpolycrystalline solar panels were Isc = 1.926 A, Imp = 0.686 A, Voc =17.594 V, Vmp = 14.166 V, Pmp = 9.722 W. Based on the results; itwas concluded that the most efficient and optimised types of solarpanels on natural conditions in Sendang Biru Beach was themonocrystalline solar panel because it produced electrical outputpower of 9.955 W. Therefore, there could be a manufacturer ofsolar energy power plants to reduce the cost of electricity in thecoastal area, such as in Sendang Biru Beach.

scholarly journals An Augmented Virtuality Based Solar Energy Power Calculator in Electrical Engineering

2015 ◽  
Vol 5 (1) ◽  
pp. 4 ◽  
Author(s):  
Clement Ehimika Ohireime Onime ◽  
James Uhomoibhi ◽  
Ermanno Pietrosemoli
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Solar Energy ◽  
Renewable Energy Sources ◽  
Electrical Energy ◽  
Photovoltaic Panel ◽  
Augmented Virtuality ◽  
Hands On ◽  
Electrical Engineers ◽  
The Cost

It is becoming increasingly important to include information about power generation from renewable energy sources in the training of electrical engineers. Solar energy is arguably the most common renewable energy source in use today. Providing practical hands-on training on solar energy power generation today requires the use of photovoltaic panel devices which are used for transforming solar energy into electrical energy. In many developing countries, practical hands-on training on solar power generation is limited due to the cost of photovoltaic panel devices and so the training consists of theoretical and tutorial classes sometimes supported by remote and virtual laboratories. This paper presents an augmented virtuality tool where real-time information from a mobile device’s sensors is used directly within a virtual or computer generated environment. The tool provides a practical context for hands-on tutorial exercises on solar energy power generation.

scholarly journals Photovoltaic Solar Energy: Is It Applicable in Brazil? – A Review Applied to Brazilian Case

2019 ◽  
Vol 66 (2) ◽  
pp. 99-120
Author(s):  
Wilmer Emilio García Moreno ◽  
Andressa Ullmann Duarte ◽  
Litiéle dos Santos ◽  
Rogério Vescia Lourega
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Solar Energy ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Cost Of Energy ◽  
Photovoltaic Solar Energy ◽  
The Cost ◽  
Photovoltaic Technologies ◽  
Brazilian Case

AbstractThe photovoltaic technologies have been developed year by year in different countries; however, there are some countries where this kind of energy is being born, such as the Brazilian case. In this paper, some important parameters are analysed and applied to different solar cell materials, identifying that if the fossil fuels were substituted by solar cells, it would reduce the CO2 emissions by 93.2%. In addition, it is shown that the efficiency of solar cells is not as farther as it could be thought from coal thermoelectrical plants in Brazil and the cost of energy using solar cells could be as good as these thermoelectrical plants. Finally, the potentiality of Brazilian territory to implant this technology is presented, identifying that with the use of 0.2% of the territory, the energy demand could be supplied.

Hybrid Distributed Power Generation for an Isolated Rural Settlement in Masirah Island, Oman

2011 ◽  
Author(s):  
Saleh Al Saadi ◽  
Moncef Krarti
Keyword(s):  
Power Systems ◽  
Residential Buildings ◽  
Renewable Energy Sources ◽  
Electrical Energy ◽  
Small Community ◽  
Solar Pv ◽  
Cost Of Energy ◽  
Storage Batteries ◽  
Electrical Generation ◽  
The Cost

This paper summarizes the findings from a feasibility study of using renewable energy sources in combination with conventional power systems to meet the electrical requirements for an isolated island of Masirah in Oman. The study has been conducted to determine the best hybrid system to generate electrical energy needed for a small community of 500 residential buildings. A series of a simulation analyses have been carried out to evaluate and optimize different distribution technologies including photovolatics, wind and diesel for electrical generation in combination with storage batteries. It was found that the cost of energy could be reduced by as much as 48% compared to the cost for the baseline generation system currently used in the Masirah Island (i.e. diesel-driven generators). In particular, it was found that wind turbines in combination with storage batteries have a great impact in reducing the cost of generating electrical energy for the residential community. Moreover, solar PV panels were found unattractive under the current diesel price rates but could potentially become viable if the diesel prices increase. The paper outlines an optimal design for generating electricity for the community at lowest cost while minimizing carbon emissions.

scholarly journals ALTERNATIVE ENERGY SOURCES FOR INCREASING ENERGY EFFICIENCY OF IRRIGATION SYSTEMS

2019 ◽  
pp. 105-112
Author(s):  
O. O. Dekhtiar
Keyword(s):  
Energy Efficiency ◽  
Solar Energy ◽  
Alternative Energy ◽  
Renewable Energy Sources ◽  
Electrical Power ◽  
Energy Sources ◽  
Irrigated Agriculture ◽  
Irrigation Systems ◽  
Alternative Energy Sources ◽  
The Cost

Actuality of the problem. The article discusses the current level of use of alternative sources of electrical power in the world. The main areas of the global power development were determined, the statistical data of leading energy companies, analytical international organizations and financial institutions were analysed. For today, all civilized countries successfully switch to alternative energy sources: wind, solar energy, biofuels, etc. In addition, the use of solar energy is one of the most promising inexhaustible, renewable energy sources. The use of renewable energy sources replaces the traditional one, based on extractive technologies polluting the atmosphere with harmful emissions, and enhances the greenhouse effect, reduces the burden on the resource base and energy systems of countries and improves the environment. Sustainable development of the agricultural sector of the economy of Ukraine and, in particular, irrigated agriculture requires a reduction in energy dependence. In the structure of the cost of irrigation water, a significant share accounts for electrical power. That is why to increase the efficiency of irrigated agriculture, to ensure high and sustainable yields in the context of climate change, it is extremely important to reduce the cost of power consumption. The need to use alternative energy sources in the drainage complex of Ukraine as part of the implementation of the energy strategy of Ukraine, aimed at the transition to fficient use and consumption of energy resources is highlighted. The Institute of Water Problems and Land Reclamation deals with the investigations of measures and technologies to improve power efficiency to reduce the specific energy consumption for pumping water by pumping stations and to reduce the rate of power losses for water intake and water transportation by water supply paths. One of the effective measures to reduce power cost is the use of alternative energy sources, in particular solar energy. The economic potential of the measures for improving energy efficiency in irrigation systems wass estimated. Conclusions. The estimation showed that the use of modules of solar power plants installed above the surface of open irrigation canals will lead to lower energy costs in the face of a constant increase in tariffs, that is, it will help to increase the economic efficiency of irrigation, reduce the share of water resources in national energy consumption and have a positive environmental effect. The sale of surplus power to the energy system at “green” tariffs can significantly reduce the payback period for the modernization of the engineering infrastructure of irrigation systems.

scholarly journals Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources Including CO2 Emissions

2021 ◽  
Vol 4 (S2) ◽  
Author(s):  
Tayenne Dias de Lima ◽  
John F. Franco ◽  
Fernando Lezama ◽  
João Soares ◽  
Zita Vale
Keyword(s):  
Renewable Energy ◽  
Distribution Systems ◽  
Renewable Energy Sources ◽  
Environmental Benefits ◽  
Mixed Integer ◽  
Transport Sector ◽  
Energy Sources ◽  
Renewable Generation ◽  
Charging Stations ◽  
Ev Charging

AbstractIn the coming years, several transformations in the transport sector are expected, associated with the increase in electric vehicles (EVs). These changes directly impact electrical distribution systems (EDSs), introducing new challenges in their planning and operation. One way to assist in the desired integration of this technology is to allocate EV charging stations (EVCSs). Efforts have been made towards the development of EVCSs, with the ability to recharge the vehicle at a similar time than conventional vehicle filling stations. Besides, EVs can bring environmental benefits by reducing greenhouse gas emissions. However, depending on the energy matrix of the country in which the EVs fleet circulates, there may be indirect emissions of polluting gases. Therefore, the development of this technology must be combined with the growth of renewable generation. Thus, this proposal aims to develop a mathematical model that includes EVs integration in the distribution system. To this end, a mixed-integer linear programming (MILP) model is proposed to solve the allocation problem of EVCSs including renewable energy sources. The model addresses the environmental impact and uncertainties associated with demand (conventional and EVs) and renewable generation. Moreover, an EV charging forecast method is proposed, subject to the uncertainties related to the driver's behavior, the energy required by these vehicles, and the state of charge of the EVs. The proposed model was implemented in the AMPL modelling language and solved via the commercial solver CPLEX. Tests with a 24-node system allow evaluating the proposed method application.

scholarly journals Energy savings approach to optimal location of EV charging stations in microgrids

2021 ◽  
Vol 19 ◽  
pp. 33-38
Author(s):  
Vishnu Suresh ◽  
◽  
Przemyslaw Janik ◽  
Dominika Kaczorowska
Keyword(s):  
Energy Management ◽  
Interior Point Method ◽  
Energy Savings ◽  
Renewable Energy Sources ◽  
Optimal Location ◽  
Energy Management System ◽  
Charging Station ◽  
The One ◽  
Charging Stations ◽  
Ev Charging

This paper presents an analytical approach to finding an optimal location for an EV charging station based on energy savings in a local microgrid. The analysis is carried out on days obtained by clustering yearly load data and by running an energy management system that runs on MATLAB interior point method. The microgrid is composed of both renewable and non-renewable energy sources. The charging station is equipped with a controlled charging feature and this study considers 2 EV charging strategies out of which the one benefitting the power system is adopted.

scholarly journals An Investigation into Conversion of a Fleet of Plug-in-Electric Golf Carts into Solar Powered Vehicles Using Fuzzy Logic Control

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5536
Author(s):  
Wafaa Saleh ◽  
Shekaina Justin ◽  
Ghada Alsawah ◽  
Areej Malibari ◽  
Maha M A Lashin
Keyword(s):  
Fuzzy Logic ◽  
Solar Energy ◽  
Operating Cost ◽  
Energy Generation ◽  
Green Energy ◽  
Solar Panel ◽  
Energy Calculation ◽  
Solar Panels ◽  
The Cost ◽  
Golf Carts

This paper presents an investigation factors that need to be considered in the design and selection of components for the conversion of a fleet of plug-in electric golf carts at Princess Nourah Bint Abdelrahman University, (PNU), Riyadh, Kingdom of Saudi Arabia (KSA), into solar power energy. Currently, the plug-in electric golf carts are powered by a set of deep-cycle lead-acid battery packs consisting of six units. Solar energy systems (photovoltaics and solar thermal) provide significant environmental benefits and opportunities over the traditional and conventional sources. Therefore, they can contribute positively to many aspects of the built environment and societies. There are many factors that affect the energy generated from the solar panel system. These include type and dimension of the solar panels, weight, speed, acceleration, and other characteristics of the used golf carts, and the energy efficiency of the solar energy system, as main factors that affect the green energy generated to operate the carts. The energy values needed to power the electric cart were calculated and optimized using traction energy calculation and optimized using a fuzzy logic analysis. The fuzzy logic system was developed to assess the impacts of varying dimensions of solar panel, vehicle speed, and weight on the energy generation. Initial calculations show that the replacement cost of the batteries can be up to approximately 75 percent of the operating cost. Together with the indirect cost benefits of achieving zero tail-pipe emission and the comfort of silent operation, the cost of operation using solar energy can be significant when compared with the cost of battery replacement. In order to achieve better efficiency, supercapacitors can be investigated to replace the conventional batteries. The use of fuzzy logic successfully facilitated the optimization of system operation conditions for best performance. In this study, fuzzy logic and calculated data were used as an optimization tool. Future work may be able to use fuzzy logic with experimental data to demonstrate feasibility of utilizing fuzzy logic systems to assess energy generation processes. Future investigations could also include investigation of other factors and methodologies, such as various types of batteries, supercapacitors, solar panels, and types of golf carts, together with different techniques of artificial intelligence to assess the optimum system specifications.

scholarly journals Energy efficiency cart modeling of solar energy collectors by genetic programming

2016 ◽  
Vol 20 (suppl. 2) ◽  
pp. 471-479
Author(s):  
Pavel Kovac ◽  
Vladan Petrovic ◽  
Vladimir Pucovsky ◽  
Bojan Bircanin ◽  
Borislav Savkovic ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Solar Energy ◽  
Genetic Programming ◽  
Energy Intensity ◽  
Renewable Energy Sources ◽  
Ease Of Use ◽  
Solar Panel ◽  
Computational Time ◽  
Technical Solution ◽  
Solar Concentrator

Uniquely constructed technical solution of solar energy collector is presented in this paper. It presents a great breakthrough in the field of energy efficiency and successful exploitation of renewable energy sources. Principle of this high-temperature energy storage enables the energy accumulated from the sun to be yielded when necessary and continuously, 24 hours a day and 365 days a year. Furthermore this paper is containing a modeling of sun irradiance, generated energy intensity for flat solar panel and for Prof. Petrovic concentrator. Modeling is made with genetic programming and it is found out that genetic programming is suitable method for modeling of energy intensity. It offers results which are within acceptable tolerances while maintaining ease of use and short computational time. Genetic programming yielded results of 12,97%, 14,6% and 9,25% average percent error for irradiance, flat solar panel and Prof. Petrovic solar concentrator respectively.

scholarly journals Reducing the Cost of Electricity by Optimizing Real-Time Consumer Planning Using a New Genetic Algorithm-Based Strategy

Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1144 ◽  
Author(s):  
Laurentiu-Mihai Ionescu ◽  
Nicu Bizon ◽  
Alin-Gheorghita Mazare ◽  
Nadia Belu
Keyword(s):  
Genetic Algorithm ◽  
Cost Minimization ◽  
Renewable Energy Sources ◽  
Time Interval ◽  
Renewable Sources ◽  
Total Cost ◽  
Cost Of Electricity ◽  
Cost Of Energy ◽  
Input Parameters ◽  
The Cost

To ensure the use of energy produced from renewable energy sources, this paper presents a method for consumer planning in the consumer–producer–distributor structure. The proposed planning method is based on the genetic algorithm approach, which solves a cost minimization problem by considering several input parameters. These input parameters are: the consumption for each unit, the time interval in which the unit operates, the maximum value of the electricity produced from renewable sources, and the distribution of energy production per unit of time. A consumer can use the equipment without any planning, in which case he will consume energy supplied by a distributor or energy produced from renewable sources, if it is available at the time he operates the equipment. A consumer who plans his operating interval can use more energy from renewable sources, because the planning is done in the time interval in which the energy produced from renewable sources is available. The effect is that the total cost of energy to the consumer without any planning will be higher than the cost of energy to the consumer with planning, because the energy produced from renewable sources is cheaper than that provided from conventional sources. To be validated, the proposed approach was run on a simulator, and then tested in two real-world case studies targeting domestic and industrial consumers. In both situations, the solution proposed led to a reduction in the total cost of electricity of up to 25%.

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