Decision-making on the integration of renewable energy in the mining industry: A case studies analysis, a cost analysis and a SWOT analysis

Zharan, Kateryna; Bongaerts, Jan C.

doi:10.1016/j.jsm.2017.11.004

Cited by 43 publications

(26 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…SWOT analysis is a well-known analytical tool, which has been widely applied for strategic decision-making processes [19], in regional energy planning and management [20,21], as well as in renewable energy schemes [22,23]. In particular, SWOT analysis has been used so far in order to investigate and assess the current status of RES in different regions [23,24] yielding a good basis for formulating policy recommendations regarding enhanced utilization of RES.…”

Section: Swotanalysismentioning

confidence: 99%

An AHP-SWOT-Fuzzy TOPSIS Approach for Achieving a Cross-Border RES Cooperation

et al. 2020

View full text Add to dashboard Cite

The emerging need to tackle climate change and mitigate greenhouse gas emissions has led to the consolidation of interest in renewable energy sources (RES) setting specific targets in the European area. To achieve the ambitious targets set, Member States are given the opportunity to cooperate with one or more of their developing neighboring countries. The aim of this paper is to develop a methodological framework based on the combination of the Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis with the Analytic Hierarchy Process (AHP) and the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) methods for adopting the most appropriate strategic plan, in order to establish a successful energy cooperation that will create beneficial conditions for all the involved parties. The results could be important in facilitating decision makers to assess the role and design of this cooperation mechanism. Key insights will also emerge with regards to opportunities for energy strategy cooperation between Europe and its neighboring countries.

show abstract

Section: Swotanalysismentioning

confidence: 99%

An AHP-SWOT-Fuzzy TOPSIS Approach for Achieving a Cross-Border RES Cooperation

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In order to address the aforementioned challenges, a number of mining companies worldwide have started to pay more attention to the use of renewable energy technologies in their operations to adhere to the principles of sustainable development [42,43]. Since energy requirements in mining operations are relatively constant while most renewable energy sources are intermittent, a hybrid scheme that combines renewable sources and diesel generators or electricity from a grid can also be considered for implementation, since energy storage facilities are still relatively expensive [44].…”

Section: Renewable Energy Technologies and Criteria In Mining And Mineral Processingmentioning

confidence: 99%

A multiple criteria decision making method to weight the sustainability criteria of renewable energy technologies under uncertainty

Sitorus

2020

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

Selecting the most suitable renewable energy technology among feasible alternatives considering conflicting criteria is a Multiple Criteria Decision Making (MCDM) problem. One of the essential stages in the methods used to solve such problems is determining the appropriate weight of each criterion to be considered. The Shannon Entropy method is a frequently used MCDM method to calculate the criteria weights, however it is not suitable to solve problems for which uncertainty in the input data exists. This paper presents a new extended Shannon Entropy method: the Integrated Constrained Fuzzy Shannon Entropy (IC-FSE) method, by which criteria weights are obtained from uncertain input data. To show the applicability of IC-FSE, an illustrative example for the selection of a renewable energy technology in the mining industry is presented, in which three alternative renewable energy technologies, onshore wind, solar photovoltaic and concentrated solar power, were evaluated with respect to technical, social, economic and environmental categories. The results show that IC-FSE can effectively provide appropriate fuzzy solutions for weighting the sustainability criteria for renewable energy technologies. The superiority of this method is showcased by demonstrating that IC-FSE results are more robust than those obtained using other existing methods. The methodology presented can be applied broadly in the renewable energy sector to ensure better informed decision making processes. Highlights• A new criteria weighting method for imprecise quantitative data is described.• The method is used to weight renewable energy technologies' sustainability criteria.• The normalisation procedure proposed is shown to reduce uncertainty.• The method yields more appropriate results than existing methods.• The method yields objective criteria weights, minimising the risk of information loss.

show abstract

“…There are several studies and reports about the economical savings achieved when RES are included in the mining process [78], [79], [80], where additional objectives such as carbon emissions mitigation [81] or auxiliary processes such as water desalination [82], are included. As was shown in Section II and Section III, successful integration of microgrids in the mining industry requires not only the integration of RES, but also changes throughout the whole mine structure, promoting an "optimization of the whole" instead of an "optimization of the parts" approach [52].…”

Section: Microgrids Applications In Miningmentioning

confidence: 99%

An Overview of Microgrids Challenges in the Mining Industry

et al. 2020

View full text Add to dashboard Cite

The transition from fossil fuels to renewable energies as power sources in the heavy industries is one of the main climate change mitigation strategies. The carbon footprint in mining is related to its inherent extraction process, its high demand of electric power and water ,and the use of diesel. However, considering its particular power requirements, the integration of microgrids throughout the whole control hierarchy of mining industry is an emergent topic. This paper provides an overview of the opportunities and challenges derived from the synergy between microgrids and the mining industry. Bidirectional and optimal power flow, as well as the integration of power quality have been identified as microgrid features that could potentially enhance mining processes. Recommendations pertaining to the technological transition and the improvement of energy issues in mining environments are also highlighted in this work. INDEX TERMS Mining industry, microgrids, power quality, energy management system, renewable energies.

show abstract

Decision-making on the integration of renewable energy in the mining industry: A case studies analysis, a cost analysis and a SWOT analysis

Cited by 43 publications

References 9 publications

An AHP-SWOT-Fuzzy TOPSIS Approach for Achieving a Cross-Border RES Cooperation

An AHP-SWOT-Fuzzy TOPSIS Approach for Achieving a Cross-Border RES Cooperation

A multiple criteria decision making method to weight the sustainability criteria of renewable energy technologies under uncertainty

An Overview of Microgrids Challenges in the Mining Industry

Contact Info

Product

Resources

About