Developing a Web-based Application for Energy Supply Systems

2019 ◽  
Vol 2 (3) ◽  
pp. 164-169
Author(s):  
Mohammed Faza ◽  
Maulahikmah Galinium ◽  
Matthias Guenther

An energy supply system consists of a system of power plants and transmission anddistribution systems that supply electrical energy. The present project is limited to the modellingof the generation system. Its objective is the design and implementation of a web-basedapplication for simulating energy supply systems using the Laravel framework. The projectfocuses on six modules representing geothermal energy, solar energy, biopower, hydropower,storage, and fossil-based energy that are allocated to satisfy a given power demand. It isexecuted as a time series modelling for an exemplary year with hourly resolution. Thedevelopment of the software is divided into four steps, which are the definition of the userrequirements, the system design (activity, use case, system architecture, and ERD), the softwaredevelopment, and the software testing (unit testing, functionality testing, validity testing, anduser acceptance testing). The software is successfully implemented. All the features of thesoftware work as intended. Also, the software goes through validity testing using three differentinput data, to make sure the software is accurate. The result of the testing is 100% accuracy withrespect to the underlying model that was implemented in an excel calculation.

Author(s):  
Sergey V. Zharkov

This paper presents methods for assessing economic, resource and environmental efficiency of cogeneration plants (CPs) and energy supply systems as a whole and ways of its improvement, the main of which are the development of cogeneration and renewable energy sources (RES). The problem of allocating fuel and financial costs in the case of the combined production in accordance with the criterion of equal profitability of supplied products is solved. The methods allow determining specific indicators of supplied products which makes it possible to compare the efficiency of energy supply systems of different companies and countries, and to define their future target indicators. The technology of introducing RES-based power plants to the energy supply systems by means of using unstabilized RES-based power for direct fuel substitution at thermal power plants (the wind is viewed as the most promising type of RES). This paper can be interesting to power engineering specialists, businessmen and economists, and also participants of the upcoming United Nations Climate Change Conference aimed at achieving a universal agreement on climate, which will be held in 2015 in Paris.


Author(s):  
Sergey Zharkov

The paper presents methods for assessing economic, resource and environmental efficiency of energy supply systems and ways of its improvement, the main of which are the development of cogeneration and renewable energy sources (RES). The problem of allocating fuel and financial costs in the case of the combined production is solved. The methods allow determining specific indicators of supplied products which makes it possible to compare the efficiency of energy supply systems of different companies and countries, and to define their future target indicators. The technology of introducing RES-based power plants to the energy supply systems by means of using unstabilized RES-based power for direct fuel substitution at thermal power plants. The paper can be interesting to power engineering specialists, businessmen and economists, and also participants of the upcoming UN Climate Change Conference aimed at achieving a universal agreement on climate, which will be held in 2015 in Paris.


2016 ◽  
Vol 10 (8) ◽  
pp. 230
Author(s):  
Pouya Ghadimi ◽  
Seyed Smaeil Mousavi ◽  
Wen Li ◽  
Sami Kara ◽  
Bernard Kornfeld

Integrated management of manufacturing plant’s production and on-site energy supply systems has shown potential economic, environmental and resource efficiency advantages for the industry. However, existing approaches are solely based on pure mathematical models with a high degree of abstraction with limited applicability, which becomes impractical for industrial applications. In this paper a simulation methodology for production parameters selection and on-site energy supply management is presented. In this case, state-based models and operational strategies of manufacturing processes and on-site energy supply options are integrated to represent interdependency between production processes, technical building services and on-site energy supply system. As a result, the proposed methodology covers manufacturing system complexity without compromising the required accuracy. This is applied to a batch based manufacturing plant and the impact of particular production parameters on energy demand profile is evaluated. The results indicate the impact of production parameters on energy supply system. In addition, the proposed approach enables manufacturers to evaluate the implications of potential production approaches in order to select appropriate operational strategies for on-site energy supply systems.


2019 ◽  
Vol 114 ◽  
pp. 01006
Author(s):  
Gleb Mayorov ◽  
Valery Stennikov ◽  
Eugene Barakhtenko

The current technological infrastructure in the electricity, heat, cold, and gas supply, as a rule, is formed and controlled separately by local systems and tasks. The traditionally considered energy systems unite large energy sources, such as hydroelectric power station, combined heat and power plants, boiler plants, and electric and pipeline networks distributed over a large area. New trends in the energy sector necessitate a revision of the principles of construction of energy systems and the creation of integrated energy supply systems. Combining separate different types of systems of different levels into a single integrated system with many coordinated elements can contribute to the implementation of new functionality, the use of more advanced technologies in operation and the active participation of consumers with distributed generation in the energy supply process. For the study of integrated energy supply systems it is proposed to use a multiagent approach, which is one of the promising areas of research for complex systems. This approach is used in many subject areas to study systems that include many elements with complex behavior. Such systems include integrated energy supply systems. The solution of the problem on the basis of the agent approach is developed by a multitude of interrelated agents.


2019 ◽  
Author(s):  
S. Bruche ◽  
G. Tsatsaronis

Abstract Mixed integer linear programming is frequently applied to identify promising design solutions of energy supply systems. However, application-relevant optimization models are often associated with complicating model features, e.g. numerous discrete design candidates or a large time horizon of the optimization. So, even state-of-the-art solvers may be confronted with major challenges to find satisfying solutions within reasonable time. In this paper a systematic multi-stage optimization approach is proposed that is intended to support the available algorithms in solving these complex problems. The basic idea of the approach is the distribution of the original problem into two major levels. On the first level, promising design candidates are generated using simplified optimization models. These simplifications are achieved through time series aggregation and the relaxation of operational binary variables. In the second stage, the objective values of the design candidates for the original problem are determined. The division of the problem into two stages leads to a significant reduction in required optimization time but simultaneously leads to an uncertainty regarding the quality of the found solution. Therefore, in a subsequent step, it is checked whether the objective value is within an acceptable distance from the theoretically best solution. If this is not the case, the first two steps are iteratively repeated. The proposed multi-stage approach is applied to the optimization of an energy supply system located in Germany. The results show a superior performance regarding required optimization time over conventional methods.


Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3250 ◽  
Author(s):  
Evgeny Lisin ◽  
Galina Kurdiukova ◽  
Pavel Okley ◽  
Veronika Chernova

Currently, the majority of world economies (even those located in the sunbelt (+/− 35 degrees of latitude with good sunshine with low seasonality) uses various types of fossil fuels as the main source of energy for their economies. However, this represents a very volatile and unsustainable strategy, since according to various estimates, the fossil fuel era will inevitably end as all carbon fuels are going to be spent in the next few centuries. Unlike traditional energy, renewable energy sources (RES) are not based on energy resources, but rather rely upon natural energy flows. With regard to its unique property, there has been an active construction of power plants of renewable energy and their gradual integration into national energy supply systems in recent decades. At the same time, the existing models of electricity markets were unprepared for their wide distribution. Hence, determination of the market value of energy generated by power plants using renewable energy sources becomes a particularly significant issue. This market value has to take into account the prevention of costs from the use of fossil fuels, as well as the resulting environmental benefits. Our paper proposes methods for solving this problem, contributing to the increase of economic efficiency of investment projects for the construction of renewable energy facilities and the formation of economic incentives for their propagation in energy supply systems. The proposed methods are based on the dynamic differentiation of tariffs for consumers with renewable energy sources depending on their structure of electricity consumption. Its effectiveness is demonstrated by calculating the cost of electricity for households located in the Krasnodar region using renewable energy sources. It is shown that this approach to the formation of tariffs for consumers allows the household to receive additional savings from the efficient use of energy installations on RES and energy storage devices in terms of alignment of the energy consumption schedule. This creates a significant incentive for households to use them and contributes to increasing the effectiveness of government renewable energy support programs, including by solving the acute problem of raising electricity tariffs from the grid.


Author(s):  
S. V. Zharkov

The paper presents methods for assessing economic, resource and environmental efficiency of cogeneration plants (CPs) and energy supply systems as a whole and ways of its improvement, the main of which are the development of cogeneration and renewable energy sources (RES). The problem of allocating fuel and financial costs at the combined production in accordance with the criterion of equal profitability of supplied energy products is solved. The methods allow determining specific indicators of supplied energy products. The technology of introducing RES-based power plants to the energy supply systems by means of using unstabilized RES-based power for direct fuel substitution in thermal cycles of gas-turbine (combined cycle) and steam-turbine plants (the wind is viewed as the most promising type of RES). Connection of wind power plants to an electric grid through thermal power plants allows us to avoid solving the problems of maintaining power quality and operating reserve of the wind power plants capacity in the power system and also to use wind energy at the plants of combined heat and high-quality electric power production, small ones included. The technology can promote smooth transition to hydrogen energy. It is shown that the cogeneration saves more than 20% of fuel, and its combination with wind power station – more than 50%.


2020 ◽  
pp. 5-14
Author(s):  
B. Draganov ◽  
◽  
A. Mishenko ◽  

The optimization of energy supply system becomes especially important problem in those cases where there are several different energy sources, including, e.g., renewable energy sources, and several energy sinks of different power. This problems can be solved with the use of a graph of exergy and economic expenditures for the pairwise interaction of flows. The purpose of the study is to specify the concept of exergy schedule and economic costs applied to energy supply systems (ESS). We shall interpret a graph of the exergy and economic expenditures of an ESS, having an arbitrary structure, as a bipartite graph Z such that the set of its nodes C corresponds to the heating H and heated C flows, and the set of its arcs D to a possible distribution of the exergy and economic expenditures in the corresponding elements of this ESS in the course of interaction between the heating and heated flows. A symmetric graph represents an oriented graph, whose arcs can be grouped into pairs of parallel but oppositely directed arcs. Such graphs, having no isolated nodes, are convenient for studying complex interrelated systems. If we have determined the optimal pair of elements (аі, aj), corresponding to the sequence of nodes, beginning from the root of the foretree and finishing by a suspended node, giving a matrix of unit dimension, then the obtained sequence of elements forms a single-contour system with the minimum level of exergy and economic expenditure. For finding the optimal solution it is advisable to use the method of branches and boundaries, which enables one to improve the solution simpler than with the application of different methods of exergy analysis.


2021 ◽  
Vol 233 ◽  
pp. 01077
Author(s):  
Jiang Xiufang ◽  
Diao Rongdan ◽  
Zeng Li ◽  
Zhang Ying ◽  
Lei Xinrong

The air source heat pump water system test bench and the compact all-glass vacuum tube solar water heating system test bench are (were) built on the roof of two adjacent teacher’s apartment buildings with the same structure, shape and material were constructed to study the performance of energy supply systems for different types of renewable energy buildings. The energy supply system performance and the performance parameters are comprehensively and systematically analyzed in the same environment conditions of the same period. The results show that the weight coefficients of the performance parameters of the two energy supply systems are equal by means of extension theory analysis. At the last, the comprehensive correlation degree Kj(1) of water outlet temperature on the performance of renewable energy power supply system is 2.07, the comprehensive correlation degree Kj(2) of water inlet temperature is 2.04, the comprehensive correlation degree Kj(3) of air temperature is 2.14, the comprehensive correlation degree Kj(4) of solar radiation is 4.97, and the comprehensive correlation degree Kj(5) of sunshine hours is 3.78.


2021 ◽  
Vol 3 (28) ◽  
pp. 05-29
Author(s):  
Ali Abubakar ◽  
◽  
Reindorf Borkor ◽  

Avoiding over-dependency on the oil-fired energy supply systems motivates many countries to integrate renewable energy into the existing energy supply systems. Solar Photovoltaic technology forms the most promising option for developing such a cost-effective and sustainable energy supply system. Generally, the current-voltage curve is used in the performance assessment and analysis of the Photovoltaic module. The accuracy of the equations for the curve depends on accurate cell parameters. However, the extraction of these parameters remains a complex stochastic nonlinear optimization problem. Many studies have been carried out to deal with such problem but still more researches need to be carried out to achieve a minimum error and a high accuracy. The existing researches ignored the variation in the meteorological data though it has a significant impact on the problem design. In this study, the Sample Average Approximation was employed to deal with the uncertainty and the hybrid optimization method was used to get the optimal parameters. The results showed that the Hybrid PSO-GWO produced the most optimal solution: Series resistance (1.4623), Shunt resistance(215.0000), Ideal diode factors (n1 = 0.9500, n2 = 1.6500) with a maximum PV power of 59.850W. The methodology produced realistic results since the variability is dealt with and the Hybrid PSO-GWO finds the optimal solution at a higher convergence rate.


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