A proposed approach for modelling competitiveness of new surface coal mines

Budeba,; Joubert, Johan W.; Webber-Youngman, R.C.W.

doi:10.17159/2411-9717/2015/v115n11a10

Cited by 12 publications

(5 citation statements)

References 18 publications

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“…However, for most of the resources (20 out of 31), the supply risks decreased, meaning that the distribution of production increased (and concentration decreased). As explained before, the production of resources shifts between countries (see Strontium) as it might no longer be economically feasible to extract from a certain mine, which is an important factor for opening and closing mines (e.g., [55][56][57]).…”

Section: Concentration Of Productionmentioning

confidence: 99%

Analyzing Changes in Supply Risks for Abiotic Resources over Time with the ESSENZ Method—A Data Update and Critical Reflection

et al. 2019

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In the last decade, several methods were developed to determine potential supply risks due to short term socio-economic aspects. One of them is the ESSENZ method (comprehensive method to measure and assess resource efficiency of products in the context of sustainable development) developed by the authors. Due to newly available data (e.g., production statistics) the characterization factors (CFs) of the ESSENZ method were updated (based on data from the years 2011 to 2015, with focus on 2014 and 2015) and compared with the original CFs (based on data from the years 2009 to 2013, with focus on 2012 and 2013) for six of the overall eleven categories. The goal of the paper is to analyze if changes in the underlying data are adequately reflected in the CFs of ESSENZ for the considered categories. Further, the updated CFs are provided. The six categories are analyzed by comparing original and updated CFs and clustering them into four groups: declining, emerging, persistent, and non-occurring potential supply risks. Significant differences in the CFs are evaluated by analyzing changes in the underlying data as well as the steps to determine the CFs. It could be shown, that for most of the considered categories and resources changes in the underlying data are reflected adequately in the CFs. However, some methodological challenges of ESSENZ, which limit the reflection of potential supply risks changes, could also be identified.

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Section: Concentration Of Productionmentioning

confidence: 99%

Analyzing Changes in Supply Risks for Abiotic Resources over Time with the ESSENZ Method—A Data Update and Critical Reflection

et al. 2019

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“…Note that DEA applications in this area include Budeba et al (2015), Byrnes et al (1988), Fang et al (2009) and Kulshreshtha and Parikh (2002).…”

Section: Coalmentioning

confidence: 99%

World trend in energy: an extension to DEA applied to energy and environment

Sueyoshi

Goto

2017

Economic Structures

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This study describes how to use Data Envelopment Analysis (DEA) for assessing the performance of energy firms. The methodology has been widely used for performance assessment on various organizations in public and private sectors because of its computational practicality (i.e., solving by linear programming) and less assumption (e.g., nonparametric) on production relationship between inputs and outputs. It is indeed true that it has a high level of practicality. However, the conventional uses of DEA were often misguiding many applications, in particular, in guiding energy industries. See the recent book and article prepared by and , both AbstractThis study proposes a use of data envelopment analysis (DEA) to assess the performance of energy industries. The DEA is a nonparametric approach that does not assume any functional form for performance assessment. The purpose of this study is to discuss how DEA can examine the current energy industries and their trends in the world. The energy is separated into primary and secondary categories. The primary energy is classified into fossil and non-fossil fuels. The fossil fuels include oil, natural gas and coal, while the non-fossil ones include nuclear and renewable energies (e.g., solar, wind, biomass, water and others). Energy consumption is essential for developing economic prosperity in all nations. However, a use of various energy resources usually produces many different types of pollutions (e.g., air, soil and water pollutions), leading to a huge damage on our society and human health. Thus, it is important for us to understand a general trend of world energy when we consider various environmental issues. This study discusses electricity as a representative of secondary energy. It is not easy to maintain a high level of social balance, so-called sustainability between economic development and environmental protection. As the initial step for sustainability development, this study summarizes a general trend of energy whose consumption has been increasing along with an economic development and a population increase in the world. Along with discussing the trend of world energy, this study describes why DEA is useful as one of the methodologies to assess a social balance between economic success and environmental protection by identifying a level of efficiency, later referred to as "unified (operational and environmental) efficiency. " Thus, this study conveys the research necessity of DEA environmental assessment on energy and sustainability from a perspective of supply and demand on energy resources in the world.

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“…Bertisen J. and Davis G. [14] described the modelling of the capital costs of mining projects via Monte Carlo analysis. The estimation of operating costs with multiple variables for open-pit mines is also described in the paper [15]. Analyses for reducing the operating costs of mining ventures are described in [16,17].…”

Section: Introductionmentioning

confidence: 99%

“…Dougall, A. and Mmola, T. [33] identified key performance areas in southern African surface mining. Budeba, M. et al [15] proposed a model for estimating the cost and technical efficiency of a surface mine. Teplická, K. et al [34] summarised the research work on economic indicators used to evaluate the efficiency and functionality of mining processes.…”

Section: Introductionmentioning

confidence: 99%

Empirical Analysis of Mining Costs Amid Energy Price Volatility for Secondary Deposits in Quarrying

Patyk,

Bodziony

2024

Energies

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The outlined methodology for calculating operating costs in open-cast mines and quarries not only facilitates the selection of optimal mining equipment and systems for working lower-grade secondary deposits but also adds significant value in navigating the challenges of fluctuating prices of energy carriers and fuels. Moreover, the study rigorously assesses the impact of mining operations on the performance of deployed mining equipment and the overall viability of the rock mining project. The selection procedure relies on a comprehensive analysis of the technical and economic parameters of selected solutions, providing critical insights to guide decisions regarding the continuation or discontinuation of mining operations. We analyse, based on empirical data, the technical and economic parameters of several variants of mining equipment to be used for the extraction of rocks and stones from secondary deposits in conditions of fluctuation depending on the level of energy prices, in order to find the best configuration in terms of operating costs and potential revenue. In addition to analysing the structure of operating costs, the article presents their correlation with the required profit from the sale of raw materials using the linear correlation method. The results clearly demonstrate the economic viability of mining secondary deposits, taking into account the actual costs incurred by mining companies.

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A proposed approach for modelling competitiveness of new surface coal mines

Cited by 12 publications

References 18 publications

Analyzing Changes in Supply Risks for Abiotic Resources over Time with the ESSENZ Method—A Data Update and Critical Reflection

Analyzing Changes in Supply Risks for Abiotic Resources over Time with the ESSENZ Method—A Data Update and Critical Reflection

World trend in energy: an extension to DEA applied to energy and environment

Empirical Analysis of Mining Costs Amid Energy Price Volatility for Secondary Deposits in Quarrying

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