Identification and prioritisation of barriers and drivers for achieving ethanol blending target in India using Delphi-PESTEL-Fuzzy-AHP method

Dey, Bishal; Roy, Bidesh; Datta, Subir

doi:10.1007/s10668-022-02717-5

Cited by 3 publications

(2 citation statements)

References 111 publications

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“…The research adopts a comprehensive approach to evaluate the Integrated Real-time Energy Management Framework (IREMF) by employing advanced fuzzy decision-making techniques. The assessment process involves two pivotal methodologies: the Fuzzy Delphi Method [26,27] and Fuzzy Analytic Hierarchy Process (FAHP) [28,29]. Initially, the Fuzzy Delphi Method will be applied to harness expert opinions and collective intelligence for the evaluation of every layer and main factor within IREMF.…”

Section: Research Design and Methodologymentioning

confidence: 99%

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Empowering Sustainable Energy Solutions through Real-Time Data, Visualization, and Fuzzy Logic

Stecyk,

Miciuła

2023

Energies

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This article shows the evaluation of the Integrated Real-time Energy Management Framework (IREMF), a cutting-edge system designed to develop energy management practices. The framework leverages real-time data collection, advanced visualization techniques, and fuzzy logic to optimize energy consumption patterns. To assess the performance and importance of each layer and main factor within IREMF, we employ a multi-step methodology. First, the Fuzzy Delphi Method is utilized to harness expert insights and collective intelligence, providing a holistic understanding of the framework’s functionality. Researchers used a fuzzy analytic hierarchy process (AHP) to determine the relative importance of each component of the energy system (first stage). This careful evaluation process helps ensure that resources are allocated effectively and that strategic decisions are made based on sound data. The findings of the study not only improve our understanding of the capabilities of the IREMF platform but also pave the way for future developments in energy system management. The study highlights the critical role of real-time data, visualization, fuzzy logic, and advanced decision-making methods in shaping a sustainable energy future.

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Section: Research Design and Methodologymentioning

confidence: 99%

“…Table 3. The fundamental scale for pairwise comparisons [28]. The next stage of this investigation seeks to determine the weights for the identified layers and factors using the Fuzzy Analytic Hierarchy Process (FAHP) [34].…”

Section: 𝐴 ̃= (𝑙 𝑚 𝑢)mentioning

confidence: 99%

Empowering Sustainable Energy Solutions through Real-Time Data, Visualization, and Fuzzy Logic

Stecyk,

Miciuła

2023

Energies

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Optimal production–inventory decision with shortage for deterioration item and effect of carbon emission policy combination with green technology

Muthusamy,

Murugesan,

Selvaraj

2023

Environ Dev Sustain

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Performance Evaluation of High Octane Gasoline Fuel(s) on High Compression Ratio (HCR) Motorcycle – Based on Chassis Dynamometer Test

Saroj,

Kalita,

Kumar

et al. 2024

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">The present study aims to determine the comparative performance evaluation in terms of fuel economy (kmpl) and wide open throttle (WOT) power derived from set of different blends of high octane gasoline fuel(s) i.e., Neat Gasoline (E0), E10 & E20 (With different dosages of additives) in high compression ratio (HCR) motorcycle on chassis dynamometer facility.</div><div class="htmlview paragraph">With the Government of India focus on use of alcohol as co-blend of gasoline with the endeavour to save foreign exchange and also to reduce greenhouse gases (GHG) emissions. The commercially available blended fuels, E10 & E20, have high research octane number (RON, 92-100) and as per the available literature high RON fuel have the better anti-knocking tendencies thereby lead to higher fuel economy.</div><div class="htmlview paragraph">There are various routes to formulate high octane fuel (refining technologies, additive approach & ethanol blending route) in the range of 92-100 octane number which are currently commercialized in Indian market. In the present study, ethanol based high octane fuel blend(s) along with doping of novel indigenous type of additives (multifunctional additive & octane booster) to achieve the utilization benefits in terms of fuel economy (FE) & power improvement.</div><div class="htmlview paragraph">The findings of present study largely suggest that with the high octane fuel blends (only ethanol) the fuel economy and Wide Open Throttle (WOT) power reduces. On the other hand, by adding gasoline multi-functional additive (GMFA) in combination of octane booster in the ethanol blended fuels, fuel economy and WOT power are compensated fairly. Fuel economy and Wide Open Throttle (WOT) power were investigated under operating conditions (Indian driving cycle - IDC). On adding ethanol only by 10% and 20% in gasoline the fuel economy is lowered by 1.9% and 4.94% respectively. The loss in fuel economy is reduced by 0.74% and 3.36% through addition of indigenously developed GMFA with Octane Booster in E10 & E20 gasoline blends.</div></div>

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Identification and prioritisation of barriers and drivers for achieving ethanol blending target in India using Delphi-PESTEL-Fuzzy-AHP method

Cited by 3 publications

References 111 publications

Empowering Sustainable Energy Solutions through Real-Time Data, Visualization, and Fuzzy Logic

Empowering Sustainable Energy Solutions through Real-Time Data, Visualization, and Fuzzy Logic

Optimal production–inventory decision with shortage for deterioration item and effect of carbon emission policy combination with green technology

Performance Evaluation of High Octane Gasoline Fuel(s) on High Compression Ratio (HCR) Motorcycle – Based on Chassis Dynamometer Test

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