Ways to Improve Russian Coal-Fired Power Plants

Тумановский, А. Г.; Olkhovsky, G. G.

doi:10.1007/s10749-015-0584-4

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“…R og (P) + R g P b ≤ P < P max R og (P) + R plrs,1 (P) P a < P < P b R og (P) + R plrs,2 (P) P min < P ≤ P a (12) The operating cost of thermal power enterprises in the diversified business model can be expressed in sections. It includes the cost of power production, the increased unit loss cost, the oil consumption cost, and the loss cost of less power generation when the units participate in deep peak shaving, and the generation rights are traded.…”

Section: Objective Functions and Constraintsmentioning

confidence: 99%

“…The urgent task for thermal power enterprises is developing low-carbon and efficient units, as they are going to become the main forces driving the sustainable development of coal-fired power generation industry [9]. In response to the problems with the operation of coal-fired power plants, methods to improve and upgrade coal-fired power plants have been proposed [10][11][12]. The economic decision to transition toward flexible coal power transformation in China is determined by the compensation standards and the time and the depth of peak load regulation.…”

Section: Introductionmentioning

confidence: 99%

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An Operation Benefit Analysis and Decision Model of Thermal Power Enterprises in China against the Background of Large-Scale New Energy Consumption

et al. 2020

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With the continuous increase in new energy installed capacity, the slowdown in the growth of social power consumption, the pressure created by high coal prices, and the reduction in on-grid electricity tariffs, the challenges facing the survival and development of thermal power generation enterprises are becoming more severe. Hence, based on the cost–benefit analysis method, this paper proposes a diversified operating benefit analysis and decision model for thermal power generation enterprises that includes four profit models: power sales, peak load regulation (without oil), peak load regulation (with oil), and generation right trading. The opportunity cost of peak load regulation and generation rights trading was considered, and six scenarios were designed. An empirical analysis was conducted by selecting a thermal power enterprise in Ningxia, Northwest China, as an example, using scenario and sensitivity analyses. The results show that under the diversified business model, thermal power generation enterprises can more effectively avoid the risks when the external environment changes and significantly improve its economic benefits. The consumption of new energy can be promoted, and positive social effects will be achieved. Therefore, the findings will help the thermal power generation enterprises to face these challenges.

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Section: Objective Functions and Constraintsmentioning

confidence: 99%