Browsing by Author "Yüksel, Serhat"

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Evaluating smart grid investment drivers and creating effective policies via a fuzzy multi-criteria approach
(Renewable and Sustainable Energy Reviews, 2025-02) Dinçer, Hasan; Krishankumar, Raghunathan; Yüksel, Serhat; Ecer, Fatih
It is critical to determine which factors impact more smart grid investments and which smart grid investment policy is more suitable for renewable energy projects. Nonetheless, a limited amount of research has focused on this topic, meaning a new study is needed to fill this gap and aid in making decisions under ambiguities. Thus, this research proposes a novel fuzzy group decision-making framework. Twelve drivers are examined through the fuzzy weighted decision-making trial and evaluation laboratory (F–DEMATEL–W) methodology. Subsequently, four smart grid investment policies are ranked using fuzzy weighted aggregated sum product assessment (F–WASPAS). Hence, one of the novelties of this research is the proposal of a robust decision-making tool named F–DEMATEL–W–WASPAS. Other novelties are: (i) the importance of the indicators/criteria is methodically determined by considering pairwise interactions and weights of experts; (ii) both individualistic expert-driven weight vector and cumulative weight vector of indicators are determined; (iii) alternative policies are ranked with minimum decision parameters; (iv) drivers that are crucial for the effectiveness of smart grid investment are determined with their causal relationship, and (v) smart grid investment policies are ranked reliably. The findings demonstrate that cyber security, sufficient legal procedures, and financial viability are the foremost drivers to increase the effectiveness of smart grid investments. Moreover, encouraging sustainable energy production using financial incentives is the foremost policy, followed by exchanging surplus electricity for the system owners. The work may contribute to the ongoing discussion on designing smart grid investment policies for renewable energy projects.
TRIZ-driven assessment of sector-wise investment decisions in renewable energy projects through a novel integrated q-ROF-DEMATEL-SRP model
(Energy, 2025-01-01) Yüksel, Serhat; Ecer, Fatih; Krishankumar, Raghunathan; Dinçer, Hasan; Gökalp, Yaşar
Necessary actions should be taken to improve renewable energy investments to minimize the carbon emission problem. In this process, the most significant determinants should be identified for some reasons, such as using human and financial resources more effectively. However, there are limited studies in the literature that prioritize the analysis of these items. This situation can be accepted as a missing gap in the literature. Accordingly, this study evaluates sector-wise investment decisions in renewable energy projects. To do so, a novel integrated q-rung orthopair fuzzy set (q-ROFS) decision-making model has been generated. Firstly, the weights of the theory of the solution of inventive problems (TRIZ)-driven criteria are computed via the q-ROF decision-making trial and evaluation laboratory (DEMATEL) methodology. The second stage of the proposed model consists of selecting the most appropriate investment alternatives with the help of the q-ROFS-based simple ranking process (q-ROF SRP). The main contribution of this study is that key sector-wise investment decisions in renewable energy projects can be identified by establishing a novel decision-making model. The main superiority of the proposed model is that the DEMATEL method is extended to the q-ROFS context to determine the weights of the factors. With the help of this issue, uncertainties and subjective randomness in the decision-making process can be minimized. In addition to this situation, causal directions between these indicators can be taken into consideration for this condition. The findings indicate that possible extension with modularity is the most critical indicator for this situation. Similarly, resource efficiency is also found to be the most influencing item. In addition to them, the ranking results demonstrate that waste-to-energy technologies and energy storage systems are the most critical investment alternatives.