scholarly journals Multicriteria Decision-Making to Determine the Optimal Energy Management Strategy of Hybrid PV–Diesel Battery-Based Desalination System

2021 ◽  
Vol 13 (8) ◽  
pp. 4202
Author(s):  
Hegazy Rezk ◽  
Basem Alamri ◽  
Mokhtar Aly ◽  
Ahmed Fathy ◽  
Abdul G. Olabi ◽  
...  
Keyword(s):  
Reverse Osmosis ◽  
Energy Management ◽  
Management Strategy ◽  
Management Strategies ◽  
Operating Cost ◽  
Water Desalination ◽  
Evaluation Procedure ◽  
Optimal Size ◽  
Energy Management Strategy ◽  
Simulation And Optimization

This paper identifies the best energy management strategy of hybrid photovoltaic–diesel battery-based water desalination systems in isolated regions using technical, economic and techno–economic criteria. The employed procedures include Criteria Importance Through Intercriteria Correlation (CRITIC) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) as tools for the solution. Twelve alternatives, containing three–four energy management strategies; four energy management strategies, load following (LF), cycle charging (CC), combined LF–CC, and predictive strategy; and three different sizes of brackish water reverse osmosis (BWRO) water desalination units, BWRO-150, BWRO-250, and BWRO-500, are investigated with capacity of 150, 250, and 500 m3/day, respectively. Eight attributes comprising different technical and economic metrics are considered during the evaluation procedure. HOMER Pro® software is utilized to perform the simulation and optimization. The main findings confirmed that the best energy management strategies are predictive strategies and the reverse osmosis (RO) unit’s optimal size is RO-250. For such an option, the annual operating cost and initial costs are $4590 and $78,435, respectively, whereas the cost of energy is $0.156/kWh. The excess energy and unmet loads are 27,532 kWh and 20.3 kWh, respectively. The breakeven grid extension distance and the amount of CO2 are 6.02 km and 14,289 kg per year, respectively. Compared with CC–RO-150, the amount of CO2 has been sharply decreased by 61.2%.

Optimal energy management of a fuel cell-battery-supercapacitor-powered hybrid tramway using a multi-objective approach

2019 ◽  
Vol 234 (5) ◽  
pp. 511-523 ◽  
Author(s):  
Han Zhang ◽  
Jibin Yang ◽  
Jiye Zhang ◽  
Pengyun Song ◽  
Ming Li
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Management Strategy ◽  
Operating Cost ◽  
Cell System ◽  
Energy Management Strategy ◽  
Multi Objective ◽  
Optimal Energy ◽  
Optimal Energy Management ◽  
Fuel Costs

Achieving an optimal operating cost is a challenge for the development of hybrid tramways. In the past few years, in addition to fuel costs, the lifespan of the power source is being increasingly considered as an important factor that influences the operating cost of a tramway. In this work, an optimal energy management strategy based on a multi-mode strategy and optimisation algorithm is described for a high-power fuel cell hybrid tramway. The objective of optimisation is to decrease the operating costs under the conditions of guaranteeing tramway performance. Besides the fuel costs, the replacement cost and initial investment of all power units are also considered in the cost model, which is expressed in economic terms. Using two optimisation algorithms, a multi-population genetic algorithm and an artificial fish swarm algorithm, the hybrid system's power targets for the energy management strategy were acquired using the multi-objective optimisation. The selected case study includes a low-floor light rail vehicle, and experimental validations were performed using a hardware-in-the-loop workbench. The results testify that an optimised energy management strategy can fulfil the operational requirements, reduce the daily operation costs and improve the efficiency of the fuel cell system for a hybrid tramway.

scholarly journals Development of Global Optimization Algorithm for Series-Parallel PHEV Energy Management Strategy Based on Radau Pseudospectral Knotting Method

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3268
Author(s):  
Kegang Zhao ◽  
Jinghao Bei ◽  
Yanwei Liu ◽  
Zhihao Liang
Keyword(s):  
Global Optimization ◽  
Energy Management ◽  
Computational Efficiency ◽  
Management Strategy ◽  
Hybrid Electric Vehicles ◽  
Minimum Principle ◽  
Management Strategies ◽  
Energy Management Strategy ◽  
Pontryagin Minimum Principle ◽  
Component Sizing

The powertrain model of the series-parallel plug-in hybrid electric vehicles (PHEVs) is more complicated, compared with series PHEVs and parallel PHEVs. Using the traditional dynamic programming (DP) algorithm or Pontryagin minimum principle (PMP) algorithm to solve the global-optimization-based energy management strategies of the series-parallel PHEVs is not ideal, as the solution time is too long or even impossible to solve. Chief engineers of hybrid system urgently require a handy tool to quickly solve global-optimization-based energy management strategies. Therefore, this paper proposed to use the Radau pseudospectral knotting method (RPKM) to solve the global-optimization-based energy management strategy of the series-parallel PHEVs to improve computational efficiency. Simulation results showed that compared with the DP algorithm, the global-optimization-based energy management strategy based on the RPKM improves the computational efficiency by 1806 times with a relative error of only 0.12%. On this basis, a bi-level nested component-sizing method combining the genetic algorithm and RPKM was developed. By applying the global-optimization-based energy management strategy based on RPKM to the actual development, the feasibility and superiority of RPKM applied to the global-optimization-based energy management strategy of the series-parallel PHEVs were further verified.

scholarly journals Research on Energy Management Strategies of Extended-Range Electric Vehicles Based on Driving Characteristics

2020 ◽  
Vol 11 (3) ◽  
pp. 54 ◽  
Author(s):  
Yuanbin Yu ◽  
Junyu Jiang ◽  
Zhaoxiang Min ◽  
Pengyu Wang ◽  
Wangsheng Shen
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Management Strategy ◽  
Control Strategies ◽  
Management Strategies ◽  
Principal Component ◽  
Driving Cycle ◽  
Control Parameters ◽  
Energy Management Strategy ◽  
Extended Range

The extended-range electric vehicle (E-REV) can solve the problems of short driving range and long charging time of pure electric vehicles, but it is necessary to control the engine working points and allocate the power of the energy sources reasonably. In order to improve the fuel economy of the vehicle, an energy management strategy (EMS) that can adapt to the daily driving characteristics of the driver and adjust the control parameters online is proposed in this paper. Firstly, through principal component analysis (PCA) and iterative self-organizing data analysis techniques algorithm (ISODATA) of historical driving data, a typical driving cycle which can describe driving characteristics of the driver is constructed. Then offline optimization of control parameters by adaptive simulated annealing under each typical driving cycle and online recognition of driving cycles by extreme learning machine (ELM) are applied to the adaptive multi-workpoints energy management strategy (A-MEMS) of E-REV. In the end, compared with traditional rule-based control strategies, A-MEMS achieves good fuel-saving and emission-reduction result by simulation verification, and it explores a new and feasible solution for the continuous upgrade of the EMS.

The Energy Management Strategy of Photovoltaic Energy Storage System

2014 ◽  
Vol 1006-1007 ◽  
pp. 727-731
Author(s):  
Feng Di ◽  
Wei Li ◽  
Fu Cheng Liu ◽  
Guang Ru Zhang ◽  
Guo Tao Hui
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management Strategy ◽  
Storage System ◽  
Management Strategies ◽  
Energy Storage System ◽  
Energy Management Strategy ◽  
Photovoltaic Energy ◽  
Complete Set ◽  
Battery Energy

In order to prolong the service life of the battery, ensure the operation efficiency of photovoltaic energy storage system, the establishment of a complete set of battery energy management strategies for photovoltaic energy storage system is very necessary because of the intermittent of solar energy. A strategy based on the state of charge of the battery to realize energy management strategy for photovoltaic energy storage system is proposed in this paper. The simulation verifies the effectiveness of the proposed method and the results show that the method can realize the purpose better.

scholarly journals Determinants of Improving the Strategy of Sustainable Energy Management of Building Sustainable Value for Stakeholders—Experience of Organizations in Poland

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2878
Author(s):  
Aneta Wysokińska-Senkus
Keyword(s):  
Sustainable Development ◽  
Energy Management ◽  
Management Strategy ◽  
Fossil Fuels ◽  
Sustainable Energy ◽  
Management Strategies ◽  
Research Process ◽  
Environmental Indicators ◽  
Computer Assisted ◽  
Energy Management Strategy

The purpose of the research was to identify the factors determining the improvement of the sustainable energy management strategy in the process of building lasting value for stakeholders, identifying key activities supporting the process of improving the sustainable energy management strategy, and analyzing the degree of use of environmental indicators by organizations in Poland. In the research process, to achieve the assumed research goals, it was decided to use the following research methods: The “Delphic Method” and the CAWI method (Computer-Assisted Web Interview). The research was carried out on a sample of 102 organizations in Poland. The study identifies goals for the sustainable development of the organization, activities supporting the process of sustainable energy management, and indicators in the field of energy management. The key factors for the improvement of energy management strategies have been identified, including implementation of modern technologies, reduction of energy consumption, development of procedures, increase of employee awareness, and clearly defined goals in the field of energy management. The strategy of the organization’s future actions towards achieving sustainable development determines the process of creating value for stakeholders. Dialogue with stakeholders is one of the basic conditions for proper planning and implementation of the organization’s strategy and taking actions in the field of sustainable energy management. Effective energy management becomes a necessity. Organizations must take a number of steps to achieve maximum resource efficiency. This can only be achieved through a holistic approach to the process of formulating the goals of the organization, which is necessary in decision-making processes and in the approach to energy management. The Polish economy has been built on coal and other fossil fuels. So far, the majority of polish organizations have not cared about the natural environment and energy management, which is why the research on redefining their strategies is a novelty.

An efficient method for energy management optimization control: Minimizing fuel consumption for hybrid vehicle applications

2019 ◽  
Vol 42 (1) ◽  
pp. 69-80 ◽  
Author(s):  
Mohamed Elhedi Hmidi ◽  
Ines Ben Salem ◽  
Lilia El Amraoui
Keyword(s):  
Fuel Consumption ◽  
Energy Management ◽  
Management Strategy ◽  
Hybrid Electric Vehicle ◽  
Management Strategies ◽  
Hybrid Vehicle ◽  
Optimal Operation ◽  
Pollutant Emissions ◽  
Energy Management Strategy ◽  
The Impact

One of the main research areas of the automotive sector is energy consumption and the reduction of pollutant emissions. Therefore, the hybrid electrical vehicle Vehicle electrical hybrid (VEH) is a possible approach to improve the vehicle components or its architecture to maximize system efficiency. This vehicle benefits from levels of consumption and emission of pollutants lower than the thermal vehicle. The problem is then to find the right split power between the two hybrid sources, the internal combustion engine (ICE) and the electrical machines (EM) to minimize fuel consumption. These energy management strategies are the algorithms that achieve instant split power between the two sources in the hybrid electric vehicle (HEV) while controlling the battery state of charge (SOC), in order to improve the fuel economy and optimize the performance HEV. In this research, a parametric study on the impact of optimization of the energy management strategy on the optimal operation of the vehicle is presented. A hybrid vehicle model is described and rules-based energy management strategy is presented. Later these rules are optimized with an optimization algorithm based on Grey Wolf optimizer (GWO). It is a new meta-heuristic based on the population. The results of the simulation make it possible to deduce the impact of this optimal strategy of energy management on fuel consumption and CO2 emissions. The obtained results show that the optimal operation of the vehicle varies according to the best energy management strategies.

Fuel Cell Electric Vehicle Energy Management Strategy Simulation Study

2012 ◽  
Vol 535-537 ◽  
pp. 1597-1600
Author(s):  
Ji Zhang ◽  
Shen Bao Wang
Keyword(s):  
Fuel Cell ◽  
Electric Vehicle ◽  
Energy Management ◽  
Control Strategy ◽  
Management Strategy ◽  
Management Strategies ◽  
Energy Management Strategy ◽  
Hybrid Energy ◽  
Advantages And Disadvantages ◽  
Fuel Cell Electric Vehicle

The advantages and disadvantages for several hybrid energy management strategies were analyzed in this paper. Power follower strategy served as the control strategy for some fuel cell electric vehicle. The control strategy was modeled and simulated in Advisor. The results indicate that the control strategy can manage the multiple energy sources well.

Design of Energy Storage Station Grouping Energy Management Strategies to Balance Short-Term Wind Power Fluctuations

2013 ◽  
Vol 448-453 ◽  
pp. 2866-2871 ◽  
Author(s):  
Jun Hui Li ◽  
Xing Xu Zhu ◽  
Gan Gui Yan ◽  
Gang Mu ◽  
Wei Hua Luo
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Energy Management ◽  
Management Strategy ◽  
Wind Farm ◽  
Management Strategies ◽  
Wind Farms ◽  
Energy Management Strategy ◽  
Storage Station ◽  
Power Fluctuations

This paper designs a grouping energy management strategy to reduce the influence of wind power fluctuations on the power system. To improve operational technicality and economy of energy storage stations, this paper designs a grouping energy management strategy with SOC correction. According to physical constrains of battery energy storage systems, technical and economic evaluation index of energy storage stations are established. Reasonable limit bands to an energy storage station installed 5MW×2h can balance the output power of a wind farm installed 49.3MW achieved through example analysis. Then the energy management strategy designed is proved to be able to control the change range of the battery SOC and distribute control tasks efficaciously, improving operational technicality and economy of the station effectively. This research provides a theoretical reference to design of energy management strategies for energy storage stations installed small at wind farms.

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