CHP Plants in Russia: the Necessity for Technological Renovation

Filippov, Sergey; Dil’man, M. D.

doi:10.1134/s0040601518110022

Cited by 19 publications

(10 citation statements)

References 5 publications

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“…This approach was quite successfully applied several times for energy demand forecasting for an up to 10-20-year horizon in performing various scientific research and applied activities [26][27][28]. In view of expected serious changes in the energy demand volume and structure, which occur under the influence of the new technological revolution [29] and decarbonization of the world economy, there emerged a need to generalize the experience gained from using the discussed approach and to perform its further development.…”

Section: General Issues Of Power Engineeringmentioning

confidence: 99%

Long-Term Energy Demand Forecasting Based on a Systems Analysis

2021

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— Energy demand forecasting plays a key role in solving the majority of problems connected with determining the economic and energy development prospects. In view of high inertia and capital intensity of energy generation facilities, the changes in the energy consumption structure and rates should be considered for a sufficiently long-term future of no less than 15 years. This adds much difficulty to the development of such forecasts, because it is necessary to take into account the possible results of technological progress in different sectors of the economy and changes in its structure. The suggested approach to energy demand forecasting is based on the systems analysis methods. Energy consumers are disaggregated by economic sectors, country regions, energy carriers, and their utilization areas. As a result, it becomes possible to take into account the possible future technological and structural changes in the economy, its differences in different regions, mutual replacements of energy carriers, and energy saving. The most important feature of the approach is that it involves the separation of economic and energy variables. Economic variables determine the development scales of economic sectors, and energy variables determine the energy consumption intensities in them. The separation of variables helps obtain essentially more accurate forecasts owing to the possibility of taking into account the differences in the variation trends of these variables in the forecast period. For forecasting the economic variables, a nonlinear conditionally dynamic model of interrelations between the economy and energy is used. The energy variables are forecasted on the basis of their links with economic factors, e.g., with cumulative investments in the fixed capital of the considered economic sectors. The discussed approach was implemented as the totality of adaptive simulation models united into the EDFS computing system. The approach was repeatedly and quite successfully used to forecast the energy demand for an up to 10–20-year horizon in solving various problems. The gained experience has demonstrated the correctness of applying the approach for solving long-horizon forecast problems. To illustrate the capacities of the approach, the electric energy demand forecast for the period of up to 2040 for the basic version of the social and economic development of Russia’s economy prepared on the basis of this approach is presented.

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Section: General Issues Of Power Engineeringmentioning

confidence: 99%

Long-Term Energy Demand Forecasting Based on a Systems Analysis

2021

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“…Despite this negative trend, CHPPs still play a major role in the energy supply to consumers. They account for about 47% of electricity generation by thermal power plants and 37% of heat supply by heat sources [4,5,6].…”

Section: Introductionmentioning

confidence: 99%

“…The main advantages of cogeneration of energy products at CHPPs are [6,7]:  low specific fuel consumption in the combined generation of electricity and heat,  the possibility of separating conditionally variable costs (fuel savings due to district heating) between electricity and heat, depending on the situation in the power markets,  production of electricity close to the place of its consumption,  increased reliability as a heat source.…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, combined production at CHPPs has a number of disadvantages that do not allow its advantages to be fully realized in market conditions [6,8]:…”

Section: Introductionmentioning

confidence: 99%

“…Thus, by changing the composition of power equipment and production technology (heat cycle), it is possible to produce electricity and heat in different ratios with the same efficiency. Since CHPPs are usually built, expanded, and reconstructed over decades (due to a gradual increase in the load and a change in the structure of electricity and heat production), many plants have power units of various types [5,6,9,10]. In connection with the development of distributed generation, GTU-CHPPs, which have relatively low capital costs and a high fuel utilization factor, have gained particular importance in ensuring independent power supply of regions [1,2].…”

Section: Introductionmentioning

confidence: 99%

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Lisin

Kindra

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J. Phys.: Conf. Ser.

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The paper is devoted to the issue of increasing the maneuverability and efficiency of modern cogeneration systems based on gas turbine power plants. Promising solutions for increasing the maneuverability of GTU-CHPP by using heat accumulators and the formation of a preheating circuit of the network water are considered. It is shown that in the non-heating period, it is possible to increase both the thermal efficiency and the generated electric power by installing a heat exchanger in front of the compressor. The calculation results show that this provides an increase of 0.4% in the net electrical efficiency by and an increase 3.3% in the annual electricity generation.

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Carbon Dioxide Footprint of Wind and Solar Power Plants

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CHP Plants in Russia: the Necessity for Technological Renovation

Cited by 19 publications

References 5 publications

Long-Term Energy Demand Forecasting Based on a Systems Analysis

Long-Term Energy Demand Forecasting Based on a Systems Analysis

Improving the maneuverability and thermal efficiency of modern cogeneration systems based on gas turbine power plants

Carbon Dioxide Footprint of Wind and Solar Power Plants

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