scholarly journals Energy and Environmental Benefit of Solar Charging System for Charging Auto-Rickshaw in Developing Countries

2021 ◽  
Vol 8 ◽  
pp. 46-54
Author(s):  
Md. Uddin ◽  
A.Z.M. Rahman ◽  
Sumon Mondol
Keyword(s):  
Environmental Impact ◽  
Financial Analysis ◽  
Energy Crisis ◽  
Environmental Benefit ◽  
Charging System ◽  
Charging Station ◽  
Proposed Model ◽  
Transport Vehicle ◽  
Present World ◽  
Extra Stress

The energy crisis and environmental impact are the major concern mf the present world. Three-wheeler auto-rickshaw becoming an important passenger transport vehicle in a developing country which are indirectly powered by the grid electricity through the batteries. Such vehicle consumes significant grid energy during charging which increases the load in the national grid and put extra stress on the electrification in line with the environmental impact. This paper investigated the existing facilities for charging auto-rickshaw in Bangladesh and designed a proposed solar charging model as a replacement based on the existing model. Then the energy and environmental benefit were estimated to reflect the significance of the proposed model and contribution in the context of the global energy crisis and environmental impact. The investigation found that the daily energy consumption is 290 kWh for a charging station capacity of 30 auto-rickshaws which is significant. The proposed solar model is designed to meet this demand offset. The environmental analysis showed that the proposed model can offset CO2, CH4, and NOx emissions by 54 tCO2eq, 40 kgCO2eq, and 60 kgCO2eq per year respectively of which the contribution of CO2­ is significant. Further research could be focused on the economic and financial analysis in-depth to promote the proposed model.

scholarly journals Development of Intelligent Drone Battery Charging System Based on Wireless Power Transmission Using Hill Climbing Algorithm

2018 ◽  
Vol 1 (4) ◽  
pp. 44 ◽  
Author(s):  
Ali Rohan ◽  
Mohammed Rabah ◽  
Muhammad Talha ◽  
Sung-Ho Kim
Keyword(s):  
Power Transmission ◽  
Inductive Coupling ◽  
Hill Climbing ◽  
Wireless Power ◽  
Wireless Power Transmission ◽  
Battery Charging ◽  
Charging System ◽  
Charging Station ◽  
Hill Climbing Algorithm ◽  
The Poor

In this work, an advanced drone battery charging system is developed. The system is composed of a drone charging station with multiple power transmitters and a receiver to charge the battery of a drone. A resonance inductive coupling-based wireless power transmission technique is used. With limits of wireless power transmission in inductive coupling, it is necessary that the coupling between a transmitter and receiver be strong for efficient power transmission; however, for a drone, it is normally hard to land it properly on a charging station or a charging device to get maximum coupling for efficient wireless power transmission. Normally, some physical sensors such as ultrasonic sensors and infrared sensors are used to align the transmitter and receiver for proper coupling and wireless power transmission; however, in this system, a novel method based on the hill climbing algorithm is proposed to control the coupling between the transmitter and a receiver without using any physical sensor. The feasibility of the proposed algorithm was checked using MATLAB. A practical test bench was developed for the system and several experiments were conducted under different scenarios. The system is fully automatic and gives 98.8% accuracy (achieved under different test scenarios) for mitigating the poor landing effect. Also, the efficiency η of 85% is achieved for wireless power transmission. The test results show that the proposed drone battery charging system is efficient enough to mitigate the coupling effect caused by the poor landing of the drone, with the possibility to land freely on the charging station without the worry of power transmission loss.

scholarly journals Modeling Charging Infrastructure Requirements to Achieve a Holistic E-Mobility Integration in Regional Energy Systems

2021 ◽  
Author(s):  
Dominik Husarek ◽  
Simon Paulus ◽  
Michael Metzger ◽  
Vjekoslav Salapic ◽  
Stefan Niessen
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Mobility Model ◽  
Residential Areas ◽  
Charging Infrastructure ◽  
Charging System ◽  
Charging Station ◽  
Grid Operators ◽  
Regional Energy Systems ◽  
The Impact

Since E-Mobility is on the rise worldwide, large Charging Infrastructure (CI) networks are required to satisfy the upcoming Charging Demand (CD). Understanding this CD with its spatial and temporal uncertainties is important for grid operators to quantify the grid impact of Electric Vehicle integration and for Charging Station (CS) operators to assess long-term CI investments. Hence, we introduce an Agent-based E-Mobility Model assessing regional CI systems with their multi-directional interactions between CSs and vehicles. A Global Sensitivity Analysis (GSA) is applied to quantify the impact of 11 technical levers on 17 relevant charging system outputs. The GSA evaluates the E-Mobility integration in terms of grid impact, economic viability of CSs and Service Quality of the deployed Charging Infrastructure (SQCI). Based on this impact assessment we derive general guidelines for E-Mobility integration into regional systems. We found, inter alia, that CI policies should aim at allocating CSs across different types of locations to utilize cross-locational effects such as CSs at public locations affecting the charging peak in residential areas by up to 18%. Additionally, while improving the highway charging network is an effective lever to increase the SQCI in urban areas, public charging is an even stronger lever in rural areas.

Decision Support System for Project Selection

2011 ◽  
pp. 209-226
Author(s):  
Prasanta Kumar Dey
Keyword(s):  
Decision Support ◽  
Environmental Impact ◽  
Decision Support System ◽  
Impact Assessment ◽  
Support System ◽  
Social Impact ◽  
Financial Analysis ◽  
Investment Decision ◽  
Multiple Attribute Decision Making ◽  
Analytic Hierarchy

The evaluation and selection of industrial projects before investment decision is customarily done using marketing, technical, and financial information. Subsequently, environmental impact assessment and social impact assessment are carried out mainly to satisfy the statutory agencies. Because of stricter environment regulations in developed and developing countries, quite often impact assessment suggests alternate sites, technologies, designs, and implementation methods as mitigating measures. This causes considerable delay to complete project feasibility analysis and selection as complete analysis requires to be taken up again and again until the statutory regulatory authority approves the project. Moreover, project analysis through the above process often results in suboptimal projects as financial analysis may eliminate better options as more environment friendly alternative will always be cost intensive. In this circumstance, this study proposes a decision support system which analyses projects with respect to market, technicalities, and social and environmental impact in an integrated framework using analytic hierarchy process, a multiple attribute decision-making technique. This not only reduces duration of project evaluation and selection, but also helps select an optimal project for the organization for sustainable development. The entire methodology has been applied to a cross-country oil pipeline project in India and its effectiveness has been demonstrated.

Conceptual Design of an Automatically Replacing and Charging System for Electric Vehicles

2012 ◽  
Vol 510 ◽  
pp. 136-140
Author(s):  
Shu Ping Chen ◽  
Fan Qiang Cheng ◽  
Chen Gan Liu ◽  
Qing Chun Zhang ◽  
Long Li
Keyword(s):  
Electric Vehicle ◽  
Conceptual Design ◽  
Electric Vehicles ◽  
Vehicle Model ◽  
Charging System ◽  
Charging Station ◽  
Gps Navigation ◽  
Late Model ◽  
Long Time ◽  
Low Efficiency

Electric vehicle is an important developing trend of the vehicle industry and the power and technique field. But nowadays, there still exist some problems in this field which cant be solved with mature solutions, such as long time of charging, high cost of replacing and charging station and large areas it covers, low efficiency and so on. By building an effective model, this paper brings up a conceptual design of an automatic system of replacing and charging batteries for electric vehicles with the late-model design of the multi-station device. By observing the effect of the experimental device, it can solve the problems mentioned above, but more should be done to improve it. This design, the demo system, mainly includes electric vehicle model system, replacing and charging station system and GPS navigation system, and it performs excellent in experiment.

Study on Multi-Objective Optimal Planning of Electric Vehicle Charging Stations with Alternative Sites

2014 ◽  
Vol 1070-1072 ◽  
pp. 1656-1663 ◽  
Author(s):  
Guang Chen ◽  
Zhuo Ran Song ◽  
Pan Dai ◽  
Yang Liu ◽  
Yong Ma
Keyword(s):  
Calculation Method ◽  
Pareto Front ◽  
Economic Costs ◽  
Multi Objective ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Proposed Model ◽  
Alternative Sites ◽  
Charging Stations

Planning of charging stations for electric vehicles (EVs) is the foundation of EV’s promotion and development. A novel multi-objective optimization model is proposed in this paper to better locate and size the charging stations for EVs from given alternative sites. Economic costs of charging station and the time wasted in waiting for charging are minimized in the model. The capacity constraints of the charging stations are included as main constraints. Pareto front is used to compare and estimate the practical value of the current substation locating and sizing plans. A calculation method based on rasterization and Voronoi diagram is proposed to make it clear where the jurisdiction of each charging station ends. Finally, the proposed model and calculation method are verified using case study.

scholarly journals Restore: An R of sustainability that can tame the “conundrum”

2013 ◽  
Author(s):  
Eckart Bindewald
Keyword(s):  
Environmental Impact ◽  
Carbon Offsets ◽  
Environmental Benefits ◽  
Practical Implementation ◽  
Environmental Benefit ◽  
Feedback Mechanisms ◽  
Rebound Effects ◽  
The Common ◽  
Environmental Causes ◽  
Fourth Component

The environmental benefits of sustainability efforts can be rendered less effective due to economic feedback mechanisms. As a remedy against such rebound effects, a reinvestment strategy towards environmental causes has been suggested. Here, a practical implementation of such a reinvestment strategy is presented. It involves a) estimating the financial savings resulting from sustainability efforts, b) informing the participants that the environmental benefit of the efforts is reduced by economic feedback mechanisms and c) asking them to donate a fraction of the expected savings towards environmental causes. An easy-to-use methodology for estimating rebound effects of sustainability efforts is presented in order to quantify the efficacy of this approach. CO2 emission offsets are used as an example of donations towards environmental causes. It is shown, that donating even a small amount (less than 1% of financial savings obtained from conservation or engineering savings) of donated carbon offsets can more than eliminate the estimated rebound effects. This then leads to the restore principle, that states that the environmental benefit of reducing activities with average environmental impact is dramatically improved if a fraction of the resulting financial savings is applied towards environmental causes. This approach is made practical by augmenting the common reduce, reuse, recycle motto with a fourth component: reduce, reuse, recycle and restore.

scholarly journals The dynamic two-echelon MSW disposal system study under uncertainty in smart city

2021 ◽  
pp. 25-25
Author(s):  
Feng Dai ◽  
Gui-Hua Nie ◽  
Chen Yi
Keyword(s):  
Environmental Impact ◽  
Municipal Solid Waste ◽  
Smart City ◽  
Numerical Experiments ◽  
Optimal Allocation ◽  
System Study ◽  
Allocation Model ◽  
Sorting Method ◽  
Proposed Model ◽  
Incineration Residues

The municipal solid waste (MSW) disposal system is the key for building the smart city. In the MSW disposal system, the MSW is allocated among the disposal plants in the first echelon, and then the derivatives (incineration residues and RDF) are allocated between residues disposal plants and markets in the second echelon. In the two-echelon optimal allocation of MSW disposal system, two objectives, cost and environmental impact, should be considered. Considering the uncertainty in the MSW disposal system, this paper constructs a grey fuzzy multi-objective two-echelon MSW allocation model. The model is divided into two sub models and the expected value sorting method is applied to solve the model. The proposed model successfully was applied to a real case in Huangshi, China. The numerical experiments showed RDF technology has advantages on both cost and environmental impact comparing to other disposal technology on disposing MSW.

scholarly journals A Novel Design of Photovoltaic-Based Charging Station for Battery Vehicles with Dynamic Demand: A Case of Short Runs

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Mohamed Salameh ◽  
Tamer Khatib ◽  
Khaled Alsahili
Keyword(s):  
Social Impact ◽  
Working Hours ◽  
Photovoltaic System ◽  
Charging System ◽  
Charging Station ◽  
Diesel Vehicles ◽  
Load Demand ◽  
The Social ◽  
Charging Stations ◽  
Novel Design

In this research, a novel design and operation of solar-based charging system for battery vehicle for a 50 km run is proposed. The proposal is aimed at replacing 110 existing diesel vehicles with 39 electric buses. Several operation scenarios for the charging stations are proposed and analyzed. Scenarios include two different battery charging methodologies and one hybrid option between electric buses and diesel vehicles. An energy model of the adapted electric buses is developed first. After that, load demand and needs including number of daily trips, number of passengers per hour, and hourly energy consumption are determined based on the developed model and gathered information. Results show that a 5.7 MWp photovoltaic system is required to power this transportation line with a loss of load probability of 5% and a trip cost per passenger of 2.05 USD. The simple payback period of the system is found to be 10 years, which is 40% of the system’s lifetime. The amount of CO2 mitigated by the proposed system is estimated as 1,629,387 (kg/year). The social impact of the proposed project is found acceptable; whereas, most of the current employees will keep their jobs with higher salaries by about 145% and less working hours by 50%. Moreover, it is expected that the proposed project will significantly increase the reliability, convenience, and sustainability of the transportation process.

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