CO2 reduction methods and evaluation of proposed energy efficiency improvements in Poland’s large industrial plant

Broniszewski, Mariusz; Werle, Sebastian

doi:10.1016/j.energy.2020.117704

Cited by 17 publications

(5 citation statements)

References 36 publications

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“…This constraint confirms the normalization of the data. The counting of positive numbers of unknown weights is done through binary variables of the model where (ζ i, ) represents counting of all variables of I and ( ζ r, ) represents an accounting of all the variables of r (Bampatsou and Halkos 2019;Broniszewski and Werle 2020;Pan et al, 2020). The lesser numbers then are controlled with their weights by applying the to the said binary variables keeping in view the degree of freedom among the observed numbers of units of decision making (DMUs) along with the weights of the said three.…”

Section: Methodsmentioning

confidence: 99%

How Does Energy Efficiency Mitigate Carbon Emissions Without Reducing Economic Growth in Post COVID-19 Era

Peng

Nazar

et al. 2022

Front. Energy Res.

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A comprehensive analytical study to assess the performance level of industrial functions in the environment has become necessary at the present time. According to existing research, the COVID-19 pandemic resulted in a significant reduction in carbon emissions in 2020. Policymakers are focusing on the discrepancies and negative environmental effect caused by various industries during their routine operations. This study aims to estimate the performance level of energy in the context of the environment of the countries that are members of the European Union This evaluation is performed through a data envelopment analysis (DEA) model, through which we have applied a non-proportional adjustment, taking into account the input of energy and its undesirable output. The DEA model allows dynamic assessment of sources in the field of measuring energy efficiency and its environmental effects. The score of measurement of efficiency lies between zero and one, which means China and Russia are awarded this score of one (1), which shows the highest level of efficiency in clean energy, while Bangladesh (0.19), Uzbekistan (0.09), Mongolia and Cambodia (0.06), and Kyrgyzstan (0.04) are at the lowest level of performance in clean energy. The results of the study showed that clean energy efficiency levels increased in all countries over the study period. The emission level of greenhouse gases in the first world countries was found to be better in the context of improvement in performance enhancement in the sector of the energy mix. Evasion score is measured as 365 kt of CO2. This score for NO2 is 280 kt and for SO2 is 82 kt, whereas it is 23 kt (0.24 kg/cap) of particulate hazardous matter. The higher performance level of energy yields a negative relationship with emissions of gases, with a significant number of 12% for NO2 in 2000, as compared to 13% for SO2 and 14% for PM2.5. Whereas PM10 has the highest concentration (18%). Public policymakers may enhance the facilitation system for better free trade and a result-oriented corporate environment to enhance the performance level of energy in the electric sector.

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Section: Methodsmentioning

confidence: 99%

How Does Energy Efficiency Mitigate Carbon Emissions Without Reducing Economic Growth in Post COVID-19 Era

Peng

Nazar

et al. 2022

Front. Energy Res.

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“…The energy policy of the European Union has for many years emphasized the importance of district heating in improving energy efficiency and reducing CO 2 emissions. The current system promotes heating systems, but by imposing strict regulations it clearly emphasizes that only heating systems that ensure high efficacy can receive support [1]. Meanwhile, many heat sources are already outdated and are often characterized by low efficiency of heat production.…”

Section: Introductionmentioning

confidence: 99%

Technical and Economic Analysis of Low-Emissions Modernization of Existing Heating Plants in Poland

et al. 2021

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An analysis is performed with regards to technologically outdated heating plants operating in many areas where fossil fuels such as coal and gas are utilized, in order to consider the alternatives of their modernization. By application of a chart using a variety of alternatives, the economic feasibility of executing two types of modernization of heating plants are explored: a single-fuel gas–steam CHP plant and a coal-fired heating plant to a coal-fired CHP plant with a condensing turbine. This study demonstrates how the selection of modernization technology is affected, in terms of profitability, by the value and variability in time of the price relationships between energy carriers, rapidly growing charges related to CO2 emission allowances, and costs depending on other pollutant emissions that originate from the operation of electricity and heat sources powered by fossil fuels. In both technical cases of modernization, lower prices of energy carriers coupled with CO2 emissions allowances lead to higher prices of electricity that can be sold as additional products following this modernization, and consequently, the specific cost of heat production in the repowered heat sources is lowered. The calculations were performed by the application of models of heating plant modernization applying continuous time notations, which offer the determination of the most suitable time of initiation of this modernization. Such relationships would be difficult to describe in the case of the use of traditional discrete models. In the case of a simultaneous increase in the prices of all main factors affecting the cost of heat generation, such as the price of gas, electricity and CO2 emissions, the fastest modernization of the heating plant to single-fuel gas–steam CHP provides the possibility of the best economic performance.

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“…Given the high energy intensity of the manufacturing sector in Latvia, which is mainly dominated by two sectors-wood processing and non-metallic mineral productioninvestments in heat recovery technologies could be one of the main drivers of energy and carbon emission savings in the industry. As both wood processing and non-metallic minerals production require large amounts of heat for production processes, the installation of heat recovery systems in companies, especially in large industrial plants, could lead to CO 2 savings of up to 35% [44]. Therefore, the government should support the adaptation of heat recovery technologies by providing financial incentives that would reduce the overall payback period of these technologies.…”

Section: Conclusion and Policy Recommendationsmentioning

confidence: 99%

Key Factors Influencing the Achievement of Climate Neutrality Targets in the Manufacturing Industry: LMDI Decomposition Analysis

Doļģe

Blumberga

2021

Energies

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The manufacturing industry is often caught in the sustainability dilemma between economic growth targets and climate action plans. In this study, a Log-Mean Divisia Index (LMDI) decomposition analysis is applied to investigate how the amount of industrial energy-related CO2 emissions in Latvia has changed in the period from 1995 to 2019. The change in aggregate energy-related CO2 emissions in manufacturing industries is measured by five different factors: the industrial activity effect, structural change effect, energy intensity effect, fuel mix effect, and emission intensity effect. The decomposition analysis results showed that while there has been significant improvement in energy efficiency and decarbonization measures in industry, in recent years, the impact of the improvements has been largely offset by increased industrial activity in energy-intensive sectors such as wood processing and non-metallic mineral production. The results show that energy efficiency measures in industry contribute most to reducing carbon emissions. In the future, additional policies are needed to accelerate the deployment of clean energy and energy efficiency technologies.

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CO2 reduction methods and evaluation of proposed energy efficiency improvements in Poland’s large industrial plant

Cited by 17 publications

References 36 publications

How Does Energy Efficiency Mitigate Carbon Emissions Without Reducing Economic Growth in Post COVID-19 Era

How Does Energy Efficiency Mitigate Carbon Emissions Without Reducing Economic Growth in Post COVID-19 Era

Technical and Economic Analysis of Low-Emissions Modernization of Existing Heating Plants in Poland

Key Factors Influencing the Achievement of Climate Neutrality Targets in the Manufacturing Industry: LMDI Decomposition Analysis

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