scholarly journals Optimization of the Midterm Electricity Generation Mix Considering the Effects of Water, Land and Carbon Footprints

10.29007/vpvk ◽  
2018 ◽  
Author(s):  
Mohsen Bozorg ◽  
Hamed Mazandarani Zadeh ◽  
Dragan Savic
Keyword(s):  
Power Generation ◽  
Power Consumption ◽  
Electric Power ◽  
Electricity Generation ◽  
Optimization Problem ◽  
Solar Thermal ◽  
Series Data ◽  
Electric Power Generation ◽  
Advantages And Disadvantages ◽  
Generation Capacity

Electric energy plays a key role in the development of modern societies. Each of the electric power generation technologies (e.g., hydroelectric, wind, solar, thermal, etc.) has some advantages and disadvantages with respect to the fundamental resource indicators, including water footprint, land footprint, carbon footprint, as well as electricity generation costs. Due to the shortage and frequent crisis associated with the above resources, optimal selection of the mix of electricity generation technologies is very important and the share of each technology in the capacity expansion of the generation system must be carefully defined. Iran is in an arid and semi-arid region, with less than one third of the average world precipitation. Moreover, the available water resources are restricted due to the water crises in the Middle-East region. In this paper, we first estimated the peak power consumption of Iran in 2024, based on the time-series data from 2004 to 2014. Then, we formulated an optimization problem to find the share of each electric power generation technology to cover the required extra generation capacity for supplying the power consumption in the target year 2024, considering the effect of the four aforementioned performance indicators. The optimization problem is solved using Genetic Algorithm. Numerical results show that in the target year, 20 GW of electricity should be added to the generation capacity. The results also show that, solar thermal and solar photovoltaic are the best electric generation technologies regarding the available resources.

Performance Analysis of Integrated Solar Tower With a Conventional Heat and Power Co-Generation Plant

2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Esmail M. A. Mokheimer ◽  
Yousef N. Dabwan
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Electric Power ◽  
Gas Turbine ◽  
Economic Feasibility ◽  
Field Size ◽  
Electric Power Generation ◽  
Electricity Cost ◽  
Generation Capacity ◽  
Solar Field

This paper presents the results of a thermo-economic analysis of integrating solar tower (ST) with heat and power cogeneration plants that is progressively being installed to produce heat and electricity to operate absorption refrigeration systems or steam for industrial processes. The annual performance of an integrated solar-tower gas-turbine-cogeneration power plant (ISTGCPP) with different sizes of gas turbine and solar collector's area have been examined and presented. Thermoflex + PEACE software's were used to thermodynamically and economically assess different integration configurations of the ISTGCPP. The optimal integrated solar field size has been identified and the pertinent reduction in CO2 emissions due to integrating the ST system is estimated. For the considered cogeneration plant (that is required to produce 81.44 kg/s of steam at 394 °C and 45.88 bars), the study revealed that (ISTGCPP) with gas turbine of electric power generation capacity less than 50 MWe capacities have more economic feasibility for integrating solar energy. The levelized electricity cost (LEC) for the (ISTGCPP) varied between $0.067 and $0.069/kWh for gas turbine of electric power generation capacity less than 50 MWe. Moreover, the study demonstrated that (ISTGCPP) has more economic feasibility than a stand-alone ST power plant; the LEC for ISTGCPP is reduced by 50–60% relative to the stand-alone ST power plant. Moreover, a conceptual procedure to identify the optimal configuration of the ISTGCPP has been developed and presented in this paper.

scholarly journals ANALYSIS OF FACTORS FOR FORECASTING ELECTRIC POWER GENERATION BY SOLAR POWER PLANTS

2020 ◽  
Author(s):  
D. Matushkin ◽  
А. Bosak ◽  
L. Kulakovskyi
Keyword(s):  
Mathematical Model ◽  
Power Generation ◽  
Power Plant ◽  
Electric Power ◽  
Electricity Generation ◽  
Solar Power ◽  
Target Function ◽  
Solar Power Plant ◽  
Electric Power Generation ◽  
The Mathematical Model

The new model of the wholesale electricity market in Ukraine causes appearance the market for the day ahead. In this market, the generating company undertakes to supply a certain amount of electricity. So, it is necessary to carry on the most accurate forecast of possible electricity generation by solar power plant (SPP). Generation value depends on certain factors. A brief summary of different influence of parameters on the PV cell performance has been provided. The article analyzes and identifies the factors that should be included in the forecast mathematical model of electricity generation by a solar power plant for a certain short-term period. According to analyzed data from SPP located in the Kyiv region, such parameters are the intensity of solar radiation, temperature and humidity, wind speed, and atmospheric pressure. The degree of influence of these factors on the initial function of electric energy generation were estimated by analyzing the scatter plot diagrams of relationship between parameters and correlation coefficients. Thus, the analysis of the influence of factors on the magnitude of electricity generation allowed to determine the priority of including each of the parameters in the mathematical model of the SPP power forecast. It was established that the influence of certain climate parameters for target function is different in each season. Therefore, in the mathematical model for forecasting electric power generation, it is necessary to take into account seasonality. In addition, the dynamic value change of factors also affects the current magnitude of electricity generation. Moreover, at different times of the year and with different combination of the corresponding values of climatic parameters, this effect may have different magnitudes. Therefore, the data obtained from the last periods before the forecasting should have a greater impact on obtaining the predicted value than the data from previous periods.

scholarly journals On electric power generation issues in ship electric propulsion systems

2021 ◽  
Vol 3 (397) ◽  
pp. 83-91
Author(s):  
S. Kazanov ◽  
Keyword(s):  
Power Generation ◽  
Electric Power ◽  
Electric Propulsion ◽  
State Of The Art ◽  
Power Conversion ◽  
Propulsion Systems ◽  
Electric Power Generation ◽  
Advantages And Disadvantages ◽  
Electric Power Generation Systems ◽  
Power Generation Systems

Object and purpose of research. The object and purpose of this study is generation of electric power for electric propulsion of ship and vessels; methods and problems, state-of-the-art and trend analysis are presented. Materials and methods. The main principles and methods of electric power generation using various generating and power conversion systems are briefly discussed. Their advantages and disadvantages are identified based on publication in this field. Main results. Achievements in the modern methods of power generation for ships, as well as ways of its transformation are highlighted. A detailed analysis of the state-of-the-art and trends in ship electric power generation is given. Various options of engines and generators are considered, including advanced types. Their characteristics are thoroughly analyzed based on the international publications. Conclusion. Conclusions are formulated regarding achievements and current problems in ship electric power generation systems.

Low-cost distributed solar-thermal-electric power generation

2004 ◽  
Author(s):  
Artin Der Minassians ◽  
Konrad H. Aschenbach ◽  
Seth R. Sanders
Keyword(s):  
Power Generation ◽  
Electric Power ◽  
Low Cost ◽  
Solar Thermal ◽  
Electric Power Generation
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