Selection of priority energy efficiency practices for industrial steam boilers by PROMETHEE decision model

Demirel, Yunus Emre; Simsek, Elif; Öztürk, Emrah; Kitiş, Mehmet

doi:10.1007/s12053-021-10007-8

Cited by 11 publications

(6 citation statements)

References 41 publications

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“…Demirel et al [61] also analyzed energy efficiency using PROMETHEE. Still, the authors' model focuses on analyzing only industrial steam boilers, differently from the model of this study that considers organizational levels.…”

Section: Discussionmentioning

confidence: 99%

Industrial energy efficiency assessment and prioritization model - An approach based on multi-criteria method PROMETHEE

Richter

Monteiro

Costa

et al. 2023

IJSEPM

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In today’s scenario of increasing energy prices, new legislations, and rising consumer concerns regarding environmental issues, industries face an unprecedented challenge of reducing their energy consumption without negatively impacting their profit and productivity. Based on this, companies are focusing on analyzing their energy efficiency, which has various criteria to be considered, and at least three organizational levels. To close this gap, this study developed an Industrial energy efficiency assessment and prioritization model based on energy assessment literature. It utilized multi-criteria analysis for the prioritization of industrial energy efficiency measures. To achieve the goal, a literature review was conducted to map relevant energy efficiency practices from which an industrial energy efficiency assessment tool was developed through the lens of three organizational levels (plant, process, and machine). Subsequently, an energy-efficiency project prioritization tool was proposed using the multi-criteria PROMETHEE II method. The assessment and prioritization model was applied to an energy industry for refinement. It generated an overview of the company's energy efficiency maturity and a ranking of the most recommended measures for the optimal use of energy resources according to established criteria and their weights. Four subcategories (lighting, HVAC systems, compressed air, and motors) were analyzed for the organizational levels, and lighting presented the higher result of a maturity of 2.77 on a scale from 0 to 3, also the maturity of the company was 2.01, which means that is still space for improvement. The improvements were highlighted according to each subcategory studied, pointing to actions that needed to be developed to improve energy efficiency.

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Section: Discussionmentioning

confidence: 99%

Industrial energy efficiency assessment and prioritization model - An approach based on multi-criteria method PROMETHEE

Richter

Monteiro

Costa

et al. 2023

IJSEPM

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“…A multi-criteria decision model (MCDM) was used to determine which of the two C/N ratio scenarios was more beneficial (Demirel et al 2021). This model includes a total of 4 basic phases:…”

Section: Multi-criteria Decision Model-prometheementioning

confidence: 99%

The Potential of Ornamental Fish Culture in Biofloc Technology with Different C/N Ratio and Multi-Criteria Decision Making Model: An Example of Goldfish (Carassius auratus)

Minaz

2024

Preprint

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Biofloc technology (BFT) has become an agenda not only to meet the need for protein food but also for ornamental aquaculture with the increasing interest in sustainable aquaculture. In this context, the current study focused on BFT for ornamental goldfish (Carassius auratus), which has commercial value. In the study conducted with control and two different C/N ratios (15:1 and 20:1), nitrogen cycle occurred rapidly in BFT groups. On the other hand, increasing the C/N ratio had a positive effect on total suspended solids and total bacteria count in the culture water. In terms of growth performance, specific growth rate and weight gain were observed to be significantly higher at high C/N ratio. Feed conversion ratio showed lower results for the C/N 20 group. According to the liver histological results, the vacuolization symptom is more severe in BFT groups. Considering all the results, the suitability of C. auratuscultivation in the BFT system with a C/N ratio of 20 was proven according to nine different evaluation criteria. In conclusion, the cultivation of C. auratus in BFT systems is recommended both economically and ecologically.

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“…However, the concept of best practice operation in the context of foundries has not been sufficiently investigated in previous literature. Operational practices have been shown to impact the industry's performance and potential energy efficiency [27]. Previous studies have suggested that induction furnaces may experience up to 25 -30 % losses due to unfavorable operation [28], considering that the majority of energy consumption in the foundry is consumed in the melting process; this presents a significant gap in the literature for promoting energy-efficient operation in the foundry.…”

Section: Energy Efficiency In Foundry Productionmentioning

confidence: 99%

Identifying Best Practice Melting Patterns in Induction Furnaces: A Data-Driven Approach Using Time Series K-Means Clustering and Multi-criteria Decision Making

Howard,

Jørgensen,

2023

Lecture Notes in Computer Science

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Improving energy efficiency in industrial production processes is crucial for competitiveness, and compliance with climate policies. This paper introduces a data-driven approach to identify optimal melting patterns in induction furnaces. Through time-series K-means clustering the melting patterns could be classified into distinct clusters based on temperature profiles. Using the elbow method, 12 clusters were identified, representing the range of melting patterns. Performance parameters such as melting time, energy-specific performance, and carbon cost were established for each cluster, indicating furnace efficiency and environmental impact. Multiple criteria decision-making methods including Simple Additive Weighting, Multiplicative Exponential Weighting, Technique for Order of Preference by Similarity to Ideal Solution, modified TOPSIS, and VlseKriterijumska Optimizacija I Kompromisno Resenje were utilized to determine the best-practice cluster. The study successfully identified the cluster with the best performance. Implementing the best practice operation resulted in an 8.6% reduction in electricity costs, highlighting the potential energy savings in the foundry.

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Selection of priority energy efficiency practices for industrial steam boilers by PROMETHEE decision model

Cited by 11 publications

References 41 publications

Industrial energy efficiency assessment and prioritization model - An approach based on multi-criteria method PROMETHEE

Industrial energy efficiency assessment and prioritization model - An approach based on multi-criteria method PROMETHEE

The Potential of Ornamental Fish Culture in Biofloc Technology with Different C/N Ratio and Multi-Criteria Decision Making Model: An Example of Goldfish (Carassius auratus)

Identifying Best Practice Melting Patterns in Induction Furnaces: A Data-Driven Approach Using Time Series K-Means Clustering and Multi-criteria Decision Making

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