Capacity Market Implementation in Poland: Analysis of a Survey on Consequences for the Electricity Market and for Energy Management

Tucki, Karol; Orynycz, Olga; Wasiak, Andrzej; Świć, Antoni; Dybaś, Wojciech

doi:10.3390/en12050839

Cited by 38 publications

(21 citation statements)

References 43 publications

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“…Considering the specific conditions of the Polish power sector, the right choice would be the central power market, since it permits for logical, competitive involvement of all electricity generation departments and DSR establishments and organizations in the bid sale. Directing the auction in Dutch formula with decreasing bid amounts ensures the systematic conduct of the auction [33].…”

Section: Literature Reviewmentioning

confidence: 99%

The DSR Scheme in the Capacity Market of Industrial Enterprises in Poland—Participation Determinants

2020

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The purpose of this article is to present the key differences between the Polish Guaranteed DSR (demand-side response) Scheme operating from 2017 to 2020 and the Polish Capacity Market DSR Scheme operating from 2021, and their impacts on the decision to participate in the DSR scheme. The present study attempts to compare the rules of the old and new schemes and their impacts on the participation decision depending on the industry of the potential scheme participant. The study was conducted on a group of 50 randomly selected companies. A structured interview was used to collect information, and a chi-quadrant independence test and a Wilcoxon–Mann–Whitney test were used in the analysis of the collected data. The study was conducted in selected enterprises located in Poland. The results of the study indicate the elements that are similar to the literature on the subject, and key aspects arising from the unique characteristics of the Polish market and the industry of the potential participant. A detailed analysis of the collected data showed that the position of the respondent in the company and the size of the company do not affect the level of knowledge of the DSR market, or the decision concerning cooperation or the manner of reduction. All the respondents have higher opinions about the new Capacity Market DSR Scheme, which confirms the proper direction of the changes in relation to the ending Guaranteed DSR Scheme.

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Section: Literature Reviewmentioning

confidence: 99%

The DSR Scheme in the Capacity Market of Industrial Enterprises in Poland—Participation Determinants

2020

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“…Developing renewable energy is one of the leading global interests in promoting sustainability and environmental quality, including modern electricity grids worldwide, which have begun to rely more heavily on renewable energy sources [1][2][3]. Ethanol is a renewable fuel produced by the fermentation of sugarcane extract and molasses.…”

Section: Introductionmentioning

confidence: 99%

Classifying the Level of Energy-Environmental Efficiency Rating of Brazilian Ethanol

et al. 2020

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The present study aimed to assess and classify energy-environmental efficiency levels to reduce greenhouse gas emissions in the production, commercialization, and use of biofuels certified by the Brazilian National Biofuel Policy (RenovaBio). The parameters of the level of energy-environmental efficiency were standardized and categorized according to the Energy-Environmental Efficiency Rating (E-EER). The rating scale varied between lower efficiency (D) and high efficiency + (highest efficiency A+). The classification method with the J48 decision tree and naive Bayes algorithms was used to predict the models. The classification of the E-EER scores using a decision tree using the J48 algorithm and Bayesian classifiers using the naive Bayes algorithm produced decision tree models efficient at estimating the efficiency level of Brazilian ethanol producers and importers certified by the RenovaBio. The rules generated by the models can assess the level classes (efficiency scores) according to the scale discretized into high efficiency (Classification A), average efficiency (Classification B), and standard efficiency (Classification C). These results might generate an ethanol energy-environmental efficiency label for the end consumers and resellers of the product, to assist in making a purchase decision concerning its performance. The best classification model was naive Bayes, compared to the J48 decision tree. The classification of the Energy Efficiency Note levels using the naive Bayes algorithm produced a model capable of estimating the efficiency level of Brazilian ethanol to create labels.The production of biofuel from sugarcane is supported by the National Agency of Petroleum, Natural Gas and Biofuels' (ANP) sustainable development programs to achieve goals to reduce greenhouse gas emissions. Therefore, annual national targets were developed by the Brazilian National Biofuel Policy (RenovaBio) [12,15]. These goals are established in units of Decarbonization Credits (CBios) calculated from annual mandatory targets defined individually for each producer and distributor according to their participation in the fossil fuel market [12,16,[18][19][20][21].The certification of biofuel production assigns different marks to each biofuel producer and importer, in a value inversely related to the carbon amount of biofuel produced. The note reflects the individual contribution of each producing agent to mitigate a specific amount of GHG concerning its fossil substitute (in tons of CO 2 equivalent). The total emission is compared with that of the equivalent fossil fuel (gasoline, for ethanol), resulting in a final score (Energy-Environmental Efficiency Rating), characterizing the mitigation of emissions. This note generates CBios for biofuel producers and importers; with the decarbonization of the Brazilian energy matrix, there is a mechanism for the commercialization of these CBios linked to the carbon intensity of biofuels [2,12,16,18].The incentive to reduce pollutant emissions in the biofuel chain goes far beyond the use o...

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“…The exploitation of methane coexisting with coal can be an important factor when improving the economic condition of mining enterprises. With regard to the decarbonization policy strongly supported by the European Union [25,26], effective methane extraction can be crucial for improving the image of coal mining. This process enhances exploitation safety, reduces the negative impact on the environment, and can improve the economic condition of these enterprises.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Methane Emissions from Hard Coal Mines Including the Methane Drainage Process

Tutak

Brodny

2019

Energies

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With regard to underground mining, methane is a gas that, on the one hand, poses a threat to the exploitation process and, on the other hand, creates an opportunity for economic development. As a result of coal exploitation, large amounts of coal enter the natural environment mainly through ventilation systems. Since methane is a greenhouse gas, its emission has a significant impact on global warming. Nevertheless, methane is also a high-energy gas that can be utilized as a very valuable energy resource. These different properties of methane prompted an analysis of both the current and the future states of methane emissions from coal seams, taking into account the possibilities of its use. For this reason, the following article presents the results of the study of methane emissions from Polish hard coal mines between 1993–2018 and their forecast until 2025. In order to predict methane emissions, research methodology was developed based on artificial neural networks and selected statistical methods. The multi-layer perceptron (MLP) network was used to make a prognostic model. The aim of the study was to develop a method to predict methane emissions and determine trends in terms of the amount of methane that may enter the natural environment in the coming years and the amount that can be used as a result of the methane drainage process. The methodology developed with the use of neural networks, the conducted research, and the findings constitute a new approach in the scope of both analysis and prediction of methane emissions from hard coal mines. The results obtained confirm that this methodology works well in mining practice and can also be successfully used in other industries to forecast greenhouse gas and other substance emissions.

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Capacity Market Implementation in Poland: Analysis of a Survey on Consequences for the Electricity Market and for Energy Management

Cited by 38 publications

References 43 publications

The DSR Scheme in the Capacity Market of Industrial Enterprises in Poland—Participation Determinants

The DSR Scheme in the Capacity Market of Industrial Enterprises in Poland—Participation Determinants

Classifying the Level of Energy-Environmental Efficiency Rating of Brazilian Ethanol

Forecasting Methane Emissions from Hard Coal Mines Including the Methane Drainage Process

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