An Improved Approach to Evaluation of the Efficiency of Energy Saving Measures Based on the Indicator of Products Total Energy Intensity

Malyarenko, O.Ye.; Horskyi, V.V.; Stanytsina, V.V.; Bogoslavska, Olga; Kuts, Heorhii

doi:10.1007/978-3-030-48583-2_13

Cited by 11 publications

(5 citation statements)

References 11 publications

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“…This article is a continuation of previous research by the authors [8,9]. A lot of work has been devoted to the study of the impact of environmental taxes on sustainable development goals.…”

Section: Literature Reviewmentioning

confidence: 79%

The influence of environmental tax rates on the Levelized cost of heat on the example of organic and biofuels boilers in Ukraine

et al. 2021

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In December 2019, the European Commission officially presented The European Green Deal, a new EU economic development program aimed at achieving climate neutrality on the European continent by 2050. Many previous global, European, and national programs also aim to reduce emissions of pollutants into the atmosphere. In this context, one of the ways to reduce emissions is the development of alternative energy sources (in particular the wider use of biofuel boilers) and increasing environmental tax rates. When choosing the optimal heating boilers, the practice of using the levelized cost of heating (LCOH) indicator is common. Environmental pollution tax (as a component of LCOH) is calculated for the three most common types of boilers (for Ukrainian boiler houses) with a capacity of 4.65 to 58 MW, burning natural gas, coal, and fuel oil, as well as low-power boilers burning organic and biofuels, for existing environmental tax rates, for projected increasing in 4 times (according to the bill) and subject to the introduction of minimum and maximum rates in EU countries. It is established that at the current environmental tax rates in Ukraine there are almost no economic incentives for the introduction of technologies to reduce the concentration of pollutants in emissions, but increasing environmental tax rates may change this situation. This, in turn, once again suggests that changing environmental tax rates can be an effective tool for achieving sustainable development goals.

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Section: Literature Reviewmentioning

confidence: 79%

The influence of environmental tax rates on the Levelized cost of heat on the example of organic and biofuels boilers in Ukraine

et al. 2021

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“…The three metrics that are most often employed in the performance assessment of energy price forecast data are Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Mean Square Root Error (MSRE) 16 . The MAE, MAPE, and MSRE are defined as follows given N historical electricity MCP data and matching predicted pricing data ( = 1 to at N).…”

Section: Modellingmentioning

confidence: 99%

A study on using two-stage multiple support vector machines to forecast medium-term electricity market prices

zhang

2024

Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023)

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Using a two-stage multiple support vector machine (SVM) model as the foundation, this work proposes a unique forecasting approach focused on the medium-term electricity market-clearing price (MCP) forecasting issue. The model aims to efficiently capture the complex nonlinear dynamic features of electricity market prices in order to provide accurate price forecasting information to electricity market participants and decision makers. Firstly, we introduce the core idea of the two-stage SVM, where the first-stage SVM is used for the initial fitting of the data, while the secondstage SVM further fine-tunes the model to accommodate price fluctuations under different market conditions. Through this two-stage modelling approach, we are able to better address the non-linear and dynamic nature of electricity market prices. In this study, we pay special attention to two key SVM control parameters: the coefficients of the Gaussian radial basis kernel function () and the regularisation constant (). The selection and optimisation of these parameters is a key factor in the success of this model. We propose a method for parameter tuning using test data to ensure optimal performance of the SVM model. By optimising the parameters, we can minimise the mean square absolute error (MAE) of the SVM model and thus improve its accuracy in price forecasting. By applying it in medium-term electricity market price forecasting, we can better understand market trends and price fluctuations.

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“…Implementing advanced combustion technologies is crucial for optimizing fuel efficiency (Pashchenko and Nikitin, 2021) and waste recovery (Inayat, 2023). Another influencing factor is the throughput of material: as production levels increase, there is a corresponding rise in furnace efficiency (Maliarenko et al, 2020). Efficient material flows can be achieved with adaptive, predictive control strategies (Zanoli et al, 2023) that ensure stability and optimal performance (Yang et al, 2023. The same is true regarding temperature uniformity across the billet sections, which also depends on the burner placement inside the furnace (Liu et al, 2020).…”

Section: Reheating Furnace Efficiency: Related Studies On Evaluationmentioning

confidence: 99%

Enhancing the efficiency of a gas-fueled reheating furnace of the steelmaking industry: assessment and improvement

Sampaio Brasil,

Piran,

Lacerda

et al. 2024

MEQ

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PurposeThe purpose of this study is to evaluate the efficiency of a Brazilian steelmaking company’s reheating process of the hot rolling mill.Design/methodology/approachThe research method is a quantitative modeling. The main research techniques are data envelopment analysis, TOBIT regression and simulation supported by artificial neural networks. The model’s input and output variables consist of the average billet weight, number of billets processed in a batch, gas consumption, thermal efficiency, backlog and production yield within a specific period. The analysis spans 20 months.FindingsThe key findings include an average current efficiency of 81%, identification of influential variables (average billet weight, billet count and gas consumption) and simulated analysis. Among the simulated scenarios, the most promising achieved an average efficiency of 95% through increased equipment availability and billet size.Practical implicationsAdditional favorable simulated scenarios entail the utilization of higher pre-reheating temperatures for cold billets, representing a large amount of savings in gas consumption and a reduction in CO2 emissions.Originality/valueThis study’s primary innovation lies in providing steelmaking practitioners with a systematic approach to evaluating and enhancing the efficiency of reheating processes.

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An Improved Approach to Evaluation of the Efficiency of Energy Saving Measures Based on the Indicator of Products Total Energy Intensity

Cited by 11 publications

References 11 publications

The influence of environmental tax rates on the Levelized cost of heat on the example of organic and biofuels boilers in Ukraine

The influence of environmental tax rates on the Levelized cost of heat on the example of organic and biofuels boilers in Ukraine

A study on using two-stage multiple support vector machines to forecast medium-term electricity market prices

Enhancing the efficiency of a gas-fueled reheating furnace of the steelmaking industry: assessment and improvement

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