Determination of most suitable low-emission energy technologies development in Poland using integrated fuzzy AHP-TOPSIS method

Ligus, Magdalena; Peternek, Piotr

doi:10.1016/j.egypro.2018.10.046

Cited by 61 publications

(24 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results show that hydropower is a suitable RE alternative for electricity production. Moreover, [19] identified the most appropriate low-emission energy technology development in Poland using FAHP and FTOPSIS methodology; their results indicate that solar PV is the most feasible low-emission energy technology for electricity generation. Ren and Sovacool [21] analyzed and ranked the low-carbon energy sources of China using the AHP and TOPSIS methods.…”

Section: Discussionmentioning

confidence: 99%

“…Portfolio of RE sources for accomplishing the 3-E policy goals AHP Taiwan [11] RE and nuclear sources selection for electricity generation AHP Kazakhstan [12] Evaluating and selecting RE sources for electricity generation AHP Algeria [13] RE sources selection for sustainable electricity generation AHP Malaysia [14] Evaluating sustainable energy planning and management Fuzzy AHP India [15] The selection of RE alternatives for electricity production Fuzzy AHP Indonesia [16] Analyzing energy performance for sustainable development AHP-Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VlseKriterijumska Optimizcija I Kaompromisno Resenje (VIKOR) Turkey [17] Assessing the RE sources to accomplish policy scenario goals Fuzzy TOPSIS Europe [18] Analyzing and ranking the most efficient low-emission energy technologies Fuzzy AHP-Fuzzy TOPSIS Poland [19] Selection of wind power project locations AHP-Fuzzy TOPSIS Pakistan [20] Ranking the low-carbon energy sources AHP and TOPSIS China [21] Multi-criteria assessment of renewable micro-generation technologies TOPSIS, Evaluation Based on Distance from Average Solution (EDAS) and WASPAS Lithuania [22] It is determined from the literature that MCDA approaches greatly help in addressing and assessing sustainable energy planning problems. In this study, the fuzzy-based AHP and WASPAS methods have been applied because the fuzzy set theory is a valuable technique that helps in minimizing the uncertainty of the decision problem [23].…”

Section: Research Focus Research Methods Region Referencementioning

confidence: 99%

See 1 more Smart Citation

Analyzing Renewable Energy Sources of a Developing Country for Sustainable Development: An Integrated Fuzzy Based-Decision Methodology

et al. 2020

View full text Add to dashboard Cite

Global human pollutant activities have raised greenhouse gas (GHG) emissions, which have directly affected the climate. Fossil fuel-based energy has brought a negative impact on the environment and is considered one of the largest sources of GHG emissions. It is envisaged that GHG emissions will increase in the future due to rapid population growth and industrialization. Thus, it is imperative to mitigate climate variability and reduce GHGs by adopting renewable energy (RE) sources for electricity generation. In this regard, the multi-criteria decision analysis (MCDA) process would serve the purpose of framing out energy policy to analyze these environmentally friendly energy sources. This study uses an integrated decision methodology—a combination of Delphi, fuzzy analytical hierarchy process (FAHP), and the fuzzy weighted aggregated sum product assessment (FWASPAS)—for the adoption of RE sources for electricity generation in Turkey. Initially, the study identified five main criteria and seventeen sub-criteria using the Delphi method. Then, the FAHP method was used to evaluate and rank the main criteria and sub-criteria. Finally, the FWASPAS method was used to assess and prioritize five major RE sources for electricity generation. The FAHP analysis indicated that political criteria are the most influential, followed by economic and technical criteria. Further, the FWASPAS method revealed that wind energy is the most significant option for electricity generation. This decision-making process can help the energy planners to utilize RE sources for sustainable development.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Research Focus Research Methods Region Referencementioning

confidence: 99%

Analyzing Renewable Energy Sources of a Developing Country for Sustainable Development: An Integrated Fuzzy Based-Decision Methodology

et al. 2020

View full text Add to dashboard Cite

show abstract

“…This hybrid model requested to define the relative importance of criterions using the fuzzy AHP method, after what implementing of FTOPSIS helped to rank five technologies according to their relative closeness to ideal solution. To measure specific study among other studies, where hybrid methods of FAHP and TOPSIS are used, the results are compared with other research results [24], [30].…”

Section: Methodsmentioning

confidence: 99%

“…A fuzzy analytic hierarchy process (FAHTP) and FTOPSIS MCDM model were made. As a result, regardless of the MCDM method, the situation in Poland remain stablethe best alternative is solar energy, followed by biomass and biogas, wind and nuclear energy in 2018 [24].…”

Section: Polandmentioning

confidence: 99%

“…____________________________________________________________________________ 2019 / 23 54 All mentioned above, shows that the analysed studies [24], [25], [28], [29] and compared results from the second study [28] lead to convincing and logic conclusionsinvestigated researches satisfy Polish Government document objectives, where the most perspe ctive RET are solar, bio and wind energy.…”

Section: Environmental and Climate Technologiesmentioning

confidence: 99%

See 1 more Smart Citation

Progress in Renewable Energy Technologies: Innovation Potential in Latvia

Suharevska

Blumberga

2019

Environmental and Climate Technologies

View full text Add to dashboard Cite

The development of renewable energy technologies (RET) depends on a wide range of criteria and regulations. To evaluate which RET (solar photovoltaic (PV), wind power plants (WPP), hydroelectric power plants (HPP) or bio-energy plants) have the greatest potential in Latvia, the most suitable approach is a multiple criteria decision making (MCDM). The proposed MCDM methodology involves TOPSIS model based on information entropy, which contributes as a criteria weighting tool. The study investigates seven main criteria from technical, economic, environmental and social aspects. Firstly, each alternative country is analysed due to the chosen RET criteria. Secondly, the assessment is extended, comparing specific data with Latvia’s MCDM of RET results. The research results show that, according to the best available examples of RET, hydro energy plants still play a substantial role for Latvia, the most promising RET development is based on bio-energy and wind renewable energies.

show abstract

Uptake and Adoption of Sustainable Energy Technologies: Prioritizing Strategies to Overcome Barriers in the Construction Industry by Using an Integrated AHP‐TOPSIS Approach

Iqbal

Ahmad

et al. 2021

Advanced Sustainable Systems

View full text Add to dashboard Cite

Energy conservation through sustainable energy technologies (SETs) in the construction industry is capturing considerable attention worldwide. However, the presence of challenges makes SETs implementation difficult, and hence to increase the effective adoption of SETs, potential strategies are essential to overcome challenges. The objective of this study is to identify and rank major strategies of SETs adoption in the construction sector to overcome its barriers. This study proposes an integrated framework based on two methodologies, fuzzy analytical hierarchy process (FAHP) and fuzzy technique for order performance by similarity to an ideal solution (F‐TOPSIS), to prioritize major strategies to overcome SETs adoption barriers. Initially, obstacles and strategies are identified from a comprehensive literature review. Later, FAHP is utilized to obtain weights of various SETs barriers through pairwise comparison, and strategies are ranked by using F‐TOPSIS. The proposed methodology is empirically applied to the construction sector of developing countries. The integrated framework provides a detailed and effective decision‐making tool for uptake and adoption of SETs. Lastly, the robustness of the methodology is evaluated with the support of sensitivity analysis. Results indicate that government and economic barriers are the most critical barriers which can be overcome through cooperation of relevant authorities, financial assistance, and developing appropriate policies.

show abstract

Determination of most suitable low-emission energy technologies development in Poland using integrated fuzzy AHP-TOPSIS method

Cited by 61 publications

References 10 publications

Analyzing Renewable Energy Sources of a Developing Country for Sustainable Development: An Integrated Fuzzy Based-Decision Methodology

Analyzing Renewable Energy Sources of a Developing Country for Sustainable Development: An Integrated Fuzzy Based-Decision Methodology

Progress in Renewable Energy Technologies: Innovation Potential in Latvia

Uptake and Adoption of Sustainable Energy Technologies: Prioritizing Strategies to Overcome Barriers in the Construction Industry by Using an Integrated AHP‐TOPSIS Approach

Contact Info

Product

Resources

About