Best Available Techniques: An integrated method for multicriteria assessment of reference installations

Evrard, Damien; Villot, Jonathan; Armiyaou, Chadad; Gaucher, Rodolphe; Bouhrizi, Sofia; Laforest, Valérie

doi:10.1016/j.jclepro.2017.11.234

Cited by 18 publications

(7 citation statements)

References 24 publications

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“…The results of the tests of selected indicators of specific water consumption W w are given in Table 1. The presented indices are diversified, which results from both the differences in the technical equipment of the plants and the diversity of methods of determination of the said indices [20]. The indices may be data intended for the design of new plants or estimations of the future demand for water.…”

Section: The Literature Reviewmentioning

confidence: 99%

Analysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence

2021

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Fruit and vegetable processing has a significant impact on the environment due to its consumption of a significant amount of water. Water consumption mainly depends on the type of production and the technology used. Water in fruit and vegetable processing plants is used as a raw material, an energy carrier, and in hydro transport, as well as for washing raw materials and maintaining production hygiene. The variety of technological operations carried out in the production process and the seasonality of production make it difficult to objectively assess the use of water in fruit and vegetable processing plants. Few available publications in this field provide numerical values of water unit consumption indices, with none entering into the cause-and-effect relationships of water use in plants in this industry. The aim of this study was to analyze the research to date and to verify the following research hypothesis: the structure of processing and the relationship between the weights of individual products have an impact on water consumption in fruit and vegetable processing plants. For this purpose, neural models of water consumption were developed for the largest agri-food processing plants in Poland that use similar technology. Water consumption was then optimized using genetic algorithms for the processing structure. The results confirmed the hypothesis that production structure has a significant impact on the rationalization of water consumption. The optimization results show that the production of concentrates, juices, and drinks has the greatest impact on water consumption. The lowest water consumption will be achieved when the production of concentrates is at a 2 to 1 ratio to the production of juices and drinks.

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Section: The Literature Reviewmentioning

confidence: 99%

Analysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence

2021

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“…However, LCA method may not allow the inclusion of different assessment criteria, such as alternative opinions in decision-making processes, since it is basically a method for evaluating resource uses and environmental impacts. Cikankowitz and Laforest (2013) tried to develop a model based on their MCDMs, which they call L-BAT, to facilitate decision-making for the metal finishing industry and to assist operators/sector stakeholders (Evrard et al, 2018).…”

Section: Mcdms and Eepsmentioning

confidence: 99%

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

et al. 2021

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savings potential, environmental benefit, cross-media effects, and payback period. As a result, some EEPs such as reuse of condensate, maintenance and repair of steam traps, insulation of steam boilers, and distribution systems were found as priority EEPs. Surprisingly, it was concluded that heat recovery from waste flue gases, economizer installation, and heat recovery from blow down have lower priority. The results showed that prevention-oriented practices were higher priority than pollution control and recovery practices.

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“…Other studies have developed methods to determine BAT-AEL at sector level (Polders et al, 2012;Derden and Huybrechts, 2013;López Carretero et al, 2016;Huybrechts et al, 2016;Mahjouri et al, 2017;Evrard et al, 2018). However, no methods have been found in the scientific literature to determine ELV at installation level, which may represent a gap in the implementation of the BAT conclusions into the IED permits.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Application of AHP and corrective factors for the determination of best available techniques and emission limit values at installation level: A case study in four cement installations

Giner-Santonja

Calvo²,

Lepe

2019

Science of The Total Environment

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After the adoption of the Industrial Emissions Directive in the European Union, requirements regarding emission limit values were made legally binding, and the competent authorities shall ensure that they do not exceed the emission levels associated with the best available techniques. This paper describes a two-stage method for the determination of best available techniques (BAT) and emission limit values (ELV) at installation level, applicable to all industrial sectors covered by the IED and to all pollutants to air and to water. This new method may support competent authorities to implement BAT conclusions into the IED permits. The determination of BAT is based on the use of analytical hierarchy process, while the ELV is determined by using corrective factors based on consumption and emission indicators from the installation. The method is applied in a case study on four existing cement installations in the region of Andalucia (Spain).

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Best Available Techniques: An integrated method for multicriteria assessment of reference installations

Cited by 18 publications

References 24 publications

Analysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence

Analysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence

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

Application of AHP and corrective factors for the determination of best available techniques and emission limit values at installation level: A case study in four cement installations

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