scholarly journals Development of methodology for calculation of optimal distribution of electric power between power units of condensing power plant

2021 ◽  
Vol 1 (2) ◽  
pp. 18-25
Author(s):  
V.Y. Ilichev ◽  
◽  
E.A. Yurik ◽  
Keyword(s):  
Power Plant ◽  
Differential Evolution ◽  
Fuel Consumption ◽  
Power Plants ◽  
Optimization Problems ◽  
Economic Effect ◽  
Optimization Methods ◽  
Local Extremum ◽  
Fuel Savings ◽  
Total Capacity

Optimization methods are used to solve many problems in the field of energy. One of such tasks is the problem of optimal redistribution of power between power units in order to achieve minimum fuel consumption. This is especially important for powerful condensation power plants, where even relatively small fuel savings have significant economic effect. The article is devoted to description of developed method of such optimization, based on the ap-plication of differential evolution, which has many advantages over the “classical” methods of op-timization. In particular, it was the global rather than the local extremum of the objective function that could be found. This method is also easy and powerful when using modern software tools. Differential evolution method is organized in the library SciPy of Python programming language, so calculation program was developed in this language to solve the problem. The work considers algorithm and structure of the developed program, as well as the procedure for preparing initial data and calculation process using example of a specific condensing power plant. Modules used in the program to populate the data arrays, as well as to output the results in the form of high-quality graphs are mentioned. With the help of the program, diagram of the optimal redistribution of capacities between power units for any total capacity of the power station is constructed. Also, for entire power range of the power plant, nominal fuel consumption and fuel economy are calculated when implementing the optimal redistribution of capacity in comparison with an even distribution. Obtained software product, available to everyone on the website of the authors, allows not only to study the practical application of differential evolution method, but also to create programs based on it in order to solve other optimization problems, some of which are mentioned in the article.

scholarly journals Exergoeconomic optimization of a thermal power plant using particle swarm optimization

2013 ◽  
Vol 17 (2) ◽  
pp. 509-524 ◽  
Author(s):  
Axel Groniewsky
Keyword(s):  
Power Plant ◽  
Energy Conversion ◽  
Power Plants ◽  
Optimization Problems ◽  
State Of The Art ◽  
Search Algorithm ◽  
Thermal Power ◽  
Optimization Methods ◽  
Conversion System ◽  
Energy Conversion System

The basic concept in applying numerical optimization methods for power plants optimization problems is to combine a State of the art search algorithm with a powerful, power plant simulation program to optimize the energy conversion system from both economic and thermodynamic viewpoints. Improving the energy conversion system by optimizing the design and operation and studying interactions among plant components requires the investigation of a large number of possible design and operational alternatives. State of the art search algorithms can assist in the development of cost-effective power plant concepts. The aim of this paper is to present how nature-inspired swarm intelligence (especially PSO) can be applied in the field of power plant optimization and how to find solutions for the problems arising and also to apply exergoeconomic optimization technics for thermal power plants.

Application of Reference Designation for Power Plants to Wind Turbines

2014 ◽  
Vol 529 ◽  
pp. 476-480
Author(s):  
Li Yi ◽  
San Yong Liu ◽  
Qiang Qiang Yu
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Wind Turbines ◽  
Power Plants ◽  
Economic Effect ◽  
Technical Committee ◽  
International Standards ◽  
Identification System ◽  
Wind Power Plant

RDS-PP (Reference Designation for Power Plants) is a new identification system for power plants, which basis and structure are based on international standards. With the purposes to meet the designation of new power plants like wind power plant, KKS (Kraftwerk-Kennzeichen system) is developed to RDS-PP. VGB technical committee recommends newly-built power plants adopts RDS-PP directly. Though leading to additional work, adopting new identification system have a long term economic effect.

scholarly journals Modelling the Future of the Baltic Energy Systems: A Green Scenario

2021 ◽  
Vol 58 (3) ◽  
pp. 47-65
Author(s):  
L. Petrichenko ◽  
R. Petrichenko ◽  
A. Sauhats ◽  
K. Baltputnis ◽  
Z. Broka
Keyword(s):  
Renewable Energy ◽  
Power Plant ◽  
Power Systems ◽  
Power Plants ◽  
Optimization Problems ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Energy Sources ◽  
Baltic States ◽  
The Baltic

Abstract The electricity sector in Europe and in the world is undergoing rapid and profound changes. There is a sharp increase in the capacity of renewable energy sources, coal and nuclear power plants are being closed and new technologies are being introduced. Especially rapid changes are taking place in the energy systems of the Baltic States. Under these conditions, there is an emerging need for new planning tools particularly for the analysis of the power system properties in a long-term perspective. The main contribution of this article lies in the formulation and solution of optimization problems that arise when planning the development of power systems in the Baltic States. To solve this problem, it is necessary to use models of various power plants and make a number of assumptions, the justification of which requires the following actions: to briefly review the current situation of the production and demand of energy in the Baltic power systems; to conduct an overview of the Baltic interconnections and their development; to make forecasts of energy prices, water inflow, energy production and demand; to set and solve the problems of optimization of power plant operation modes; to demonstrate the possibility and limitations of the developed tools on the basis of real-life and forecast data. In this paper, a case study is performed using the main components of the overall modelling framework being developed. It focuses on the Baltic power systems in 2050 under the conditions of significant expansion in the installed capacity of renewable energy sources (RESs) and diminished fossil fuel power plant activity. The resulting electricity generation mix and trade balance with neighbouring countries is assessed, showing that even with significant RES expansion, the Baltic countries remain net importers and because of the intermittency of RESs, there are hours within the year when the demand cannot be met.

Global and Local Surrogate-Model-Assisted Differential Evolution for Waterflooding Production Optimization

SPE Journal ◽  
2019 ◽  
Vol 25 (01) ◽  
pp. 105-118 ◽  
Author(s):  
Guodong Chen ◽  
Kai Zhang ◽  
Liming Zhang ◽  
Xiaoming Xue ◽  
Dezhuang Ji ◽  
...  
Keyword(s):  
Differential Evolution ◽  
Surrogate Model ◽  
Net Present Value ◽  
Channel Model ◽  
Optimization Problems ◽  
Optimization Methods ◽  
Production Optimization ◽  
Optimization Process ◽  
Promising Area ◽  
Global And Local

Summary Surrogate models, which have become a popular approach to oil-reservoir production-optimization problems, use a computationally inexpensive approximation function to replace the computationally expensive objective function computed by a numerical simulator. In this paper, a new optimization algorithm called global and local surrogate-model-assisted differential evolution (GLSADE) is introduced for waterflooding production-optimization problems. The proposed method consists of two parts: (1) a global surrogate-model-assisted differential-evolution (DE) part, in which DE is used to generate multiple offspring, and (2) a local surrogate-model-assisted DE part, in which DE is used to search for the optimum of the surrogate. The cooperation between global optimization and local search helps the production-optimization process become more efficient and more effective. Compared with the conventional one-shot surrogate-based approach, the developed method iteratively selects data points to enhance the accuracy of the promising area of the surrogate model, which can substantially improve the optimization process. To the best of our knowledge, the proposed method uses a state-of-the-art surrogate framework for production-optimization problems. The approach is tested on two 100-dimensional benchmark functions, a three-channel model, and the egg model. The results show that the proposed method can achieve higher net present value (NPV) and better convergence speed in comparison with the traditional evolutionary algorithm and other surrogate-assisted optimization methods for production-optimization problems.

Kajian Kualitas Lingkungan Fisik-Kimia Akibat Pengoperasian Pembangkit Listrik Tenaga Surya Terpusat Di Desa Oelpuah Kecamatan Kupang Tengah Kabupaten Kupang

2018 ◽  
Vol 18 (2) ◽  
pp. 50
Author(s):  
Micklon Edison Nakmofa ◽  
Johanis N Kallau ◽  
Adrianus Amheka
Keyword(s):  
Physical Chemistry ◽  
Power Plant ◽  
Environmental Quality ◽  
Power Plants ◽  
Solar Power ◽  
Solar Power Plant ◽  
Electric Power Plants ◽  
Quality Water ◽  
Total Capacity ◽  
The Impact

The utilization of renewable electric power plants (non-fossil) in friendly environment needs to be done by using of solar energy for electricity generation. PT. LEN Industry built solar power Plant on Oelpuah Village, Kupang Tengah Subdistrict, Kupang Regency, with a total capacity of 5 megawatts Peak, which currently operates and the biggest Solar Power Plant in Indonesian. As a result of the operation of these solar power, it can be expected to have environmental impacts. The purpose of this study was to determine the impact of Physical Chemistry like air quality, water quality and noise, inside and outside of solar power plant operation. The results showed, because of PLTS Operation, it has an impact to physical chemistry environmental quality, but the impaCT STILL below the threshold of environmental quality standards.

scholarly journals Optimization Model for Biogas Power Plant Feedstock Mixture Considering Feedstock and Transportation Costs Using a Differential Evolution Algorithm

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1610 ◽  
Author(s):  
Danijel Topić ◽  
Marinko Barukčić ◽  
Dražen Mandžukić ◽  
Cecilia Mezei
Keyword(s):  
Power Plant ◽  
Differential Evolution ◽  
Optimization Model ◽  
Power Plants ◽  
Differential Evolution Algorithm ◽  
Transportation Costs ◽  
Proposed Model ◽  
Transportation Distance ◽  
Evolution Algorithm ◽  
Plant Feedstock

In this paper, an optimization model for biogas power plant feedstock mixture with respect to feedstock and transportation costs using a differential evolution algorithm (DEA) is presented. A mathematical model and an optimization problem are presented. The proposed model introduces an optimal mixture of different feedstock combinations in a biogas power plant and informs about the maximal transportation distance for each feedstock before being unprofitable. In the case study, the proposed model is applied to five most commonly used feedstock in biogas power plants in Croatia and Hungary. The research is performed for a situation when the biogas power plant is not owned by the farm owner but by a third party. An optimization procedure is performed for each scenario with a cost of methane production that does not exceed 0.75 EUR/m3 in 1 MWe biogas power plant. The results show the needed yearly amounts and the maximum transportation distance of each feedstock.

scholarly journals Methodological Bases of Optimal Load Distribution at a Thermal Power Plant with a Complex Composition of Equipment, Taking into Account Market Requirements

2021 ◽  
Vol 2090 (1) ◽  
pp. 012013
Author(s):  
E K Arakelyan ◽  
A V Andryushin ◽  
Y Y Yagupova ◽  
A V Neklyudov ◽  
S V Mezin
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Mathematical Optimization ◽  
Optimization Methods ◽  
Information Support ◽  
Heat Output ◽  
Complex Composition ◽  
Operating Modes

Abstract The features of a mathematical model for optimizing the distribution of heat and electricity at a large thermal power plant with a complex composition of equipment as part of traditional heating units and a heating CCGT are considered. The selection and justification of optimization criteria at different stages of preparation and entry of the station to the electricity and capacity market is given. The disadvantages of the previously proposed optimal distribution algorithms are analyzed in relation to thermal power plants with a complex composition of equipment and with a complex scheme for the supply of electricity and heat. A method and algorithm for solving the problem are proposed based on the equivalence of the CHP equipment and the decomposition of the problem taking into account the schemes of electricity and heat output. The description of mathematical optimization methods is given, taking into account the peculiarities of the CCGT operating modes at reduced loads. The requirements for information support when integrating the developed algorithm into the application software of the automated process control system based on the PTC are given.

scholarly journals Comparison of Fuel Consumption on a Hybrid Marine Power Plant With Low-Power Versus High-Power Engines

2018 ◽  
Author(s):  
Zhenying Wu ◽  
Laxminarayan Thorat ◽  
Roger Skjetne
Keyword(s):  
Power Plant ◽  
Power System ◽  
Low Power ◽  
Fuel Consumption ◽  
High Power ◽  
Optimization Methods ◽  
Nox Emissions ◽  
Optimal Operating ◽  
System Configurations

In this paper, we are comparing fuel consumption on a case study hybrid marine power plant with diesel gensets and batteries. Optimization methods are used to find an optimal operating point for the gensets, under different power demands, with regards to fuel consumption and NOx emissions. Three different power system example configurations for an offshore construction vessel are explored in this study, and the simulations are carried out to compare the resulting fuel consumption and NOx emissions for these power system configurations.

scholarly journals Oxygen Enrichment Membranes for Kuwait Power Plants: A Case Study

Membranes ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 211
Author(s):  
Yousef Alqaheem ◽  
Fajer Alswaileh
Keyword(s):  
Carbon Dioxide ◽  
Fuel Consumption ◽  
Carbon Dioxide Emissions ◽  
Power Plants ◽  
Membrane Unit ◽  
Market Prices ◽  
Fuel Savings ◽  
Price Increases ◽  
Gas Price

Power plants are considered as the major source of carbon dioxide pollution in Kuwait. The gas is released from the combustion of fuel with air to convert water into steam. It has been proven that the use of enriched oxygen can reduce fuel consumption and minimize emissions. In this study, UniSim (Honeywell, Charlotte, NC, USA) was used to estimate the fuel savings and carbon dioxide emissions of the largest power plant in Kuwait (Alzour). Results showed that at 30 mol% oxygen, the fuel consumption was lowered by 8%, with a reduction in carbon dioxide emissions by 3524 tons per day. An economic analysis was performed on the use of a membrane unit to produce 30 mol% oxygen. At current market prices, the unit is not economical. However, the system can achieve a payback duration of 3 years if natural gas price increases to USD 6.74 or the compressor cost decreases to USD 52 per kW. Currently, the research and development sector is targeting a membrane fabrication cost of less than USD 10 per m2 to make the membrane process more attractive.

scholarly journals Efficiency of using inverter power plants as part of multifunctional energy technology complexes

2020 ◽  
Vol 21 (4) ◽  
pp. 244-253
Author(s):  
Ivan Ya. Redko ◽  
Andrey A. Malozemov ◽  
Georgiy A. Malozemov ◽  
Alexey V. Naumov ◽  
Dmitry V. Kozminykh
Keyword(s):  
Power Plant ◽  
Fuel Consumption ◽  
Damage Accumulation ◽  
Power Plants ◽  
Fuel Efficiency ◽  
Point Of View ◽  
Operating Conditions ◽  
Simultaneous Increase ◽  
Boost Pressure ◽  
Engine Operation

A method has been developed for a comprehensive multi-criteria assessment of the efficiency of using inverter power plants as part of multifunctional energy-technological complexes with technical solutions aimed at reducing the negative consequences of the internal combustion engine operation with an optimal from the point of view of fuel efficiency speed. The method includes: synthesis of the optimal engine speed control algorithm, determination of the complex operating modes under operating conditions, assessment of changes in fuel consumption and harmful substances emissions with exhaust gases and resource consumption rate when the engine is switched to the operating mode with the optimal speed, complex technical and economic assessment of the inverter power plants efficiency. On the example of an inverter power plant with a capacity of 100 kW, the need to apply the method is proved. It was found that the engine operation with the optimal from the point of view of fuel efficiency speed and without additional design measures entails an increase in the damage accumulation rate by 1.7-2.1 times and therefore is economically inexpedient, despite a decrease in fuel consumption by 1% or more. It was found that a decrease in the compression ratio with a simultaneous increase in the boost pressure makes it possible to increase the engine resource up to a functional failure due to damage accumulation by 43% and to a parametric failure due to wear by 32%, while the operating costs of the inverter power plant will decrease by 3.7% relative to the base (no changes) power plants. The emission of soot particles will decrease by about 2 times, nitrogen oxides - by 2%, hydrocarbons - almost to zero.

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