Efficiency and cost modelling of thermal power plants

Abstract

The proper characterization of energy suppliers is one of the most important components in the modelling of the supply/demand relations of the electricity market. Power generation capacity i. e. power plants constitute the supply side of the relation in the electricity market. The supply of power stations develops as the power stations attempt to achieve the greatest profit possible with the given prices and other limitations. The cost of operation and the cost of load increment are thus the most important characteristics of their behaviour on the market. In most electricity market models, however, it is not taken into account that the efficiency of a power station also depends on the level of the load, on the type and age of the power plant, and on environmental considerations. The trade in electricity on the free market cannot rely on models where these essential parameters are omitted. Such an incomplete model could lead to a situation where a particular power station would be run either only at its full capacity or else be entirely deactivated depending on the prices prevailing on the free market. The reality is rather that the marginal cost of power generation might also be described by a function using the efficiency function. The derived marginal cost function gives the supply curve of the power station. The load level dependent efficiency function can be used not only for market modelling, but also for determining the pollutant and CO2 emissions of the power station, as well as shedding light on the conditions for successfully entering the market. Based on the measurement data our paper presents mathematical models that might be used for the determination of the load dependent efficiency functions of coal, oil, or gas fuelled power stations (steam turbine, gas turbine, combined cycle) and IC engine based combined heat and power stations. These efficiency functions could also contribute to modelling market conditions and determining the environmental impact of power stations.

A novel method for prediction of gas turbine power production: Degree-day method

“…Bihari et al have introduced a correlation for various types of power plants. The correlation has 2 correction factors and one of them is the ambient parameters such as temperature, season and geographic location of the power plant [28]. Some of these studies applied useful methods to predict the power production of a certain location but they do not offer a comparison between the production potentials for different locations.…”

Influence of Initial Parameters on the Performances of the Flow System of Turbines Operating on Low-Boiling Actuating Medium

“…С учетом характеристик низкокипящих рабочих тел проведены расчетные исследования путем моделирования тепловых схем. Структура построения расчетной модели базируется на общих уравнениях тепловых балансов [21][22][23][24][25]. Модель предусматривает собой совокупность составных объектов, в основе которых лежит структурное описание тепловой схемы в целом, т. е. представление ее в виде компонент и связей между ними.…”

A techno-economic and environmental assessment of low-carbon development policies in Iran's thermal power generation sector

“…The necessity of improving economic or environmental efficiency in power generation has received growing scholarly attention (Akram et al 2020;Bihari et al 2010;Ghiasi et al 2020), but the gap for a comprehensive policy on lowcarbon development of power generation in thermal power plants, which can account for economic and environmental costs aspects, are still felt. Some of these gaps compared to the current study can be summarized as follows:…”