Multi-criteria assessment to automate water treatment plants using the analytical hierarchy process

Macuada, Claudio J.; Oddershede, Astrid M.; Alarcon, Rubén

doi:10.1504/jgba.2015.069532

Cited by 8 publications

(4 citation statements)

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“…The critical categories at each level were identified through the opinions issued by the Expert Panel. The multicriteria approach allows conflicting objectives to be addressed through the use of AHP [13,14,15], which helps to establish criteria and rank user preferences.…”

Section: System Descriptionmentioning

confidence: 99%

Decision Support Model for Raw Water Availability for Purification in a Region in Chile

Oddershede

Macuada

Quezada

et al. 2022

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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This article proposes a decision model to identify the most sustainable solution(s) to ensure the availability of raw water to be subsequently treated to be converted into drinking water as a consequence of the climate change scenario, particularly the drought currently experienced by the Metropolitan Region in Chile, derived from the technical and regulatory requirements associated with the availability of water resources from its capture to its drink ability to meet the future demand of the region. From the perspective of drought, the solution must provide security levels that guarantee the availability of raw water is one of the main concerns of the stakeholders. In turn, the need to adapt current regulations regarding raw water sources, as well as community acceptance of some proposals for converting raw water into potable water and climate dependency, involve qualitative as well as technical aspects that may affect the investment and operating costs of the different solutions required to ensure raw water availability. Therefore, through a multi-criteria approach, it is possible to incorporate quantifiable and intangible aspects and to address conflicting objectives. Through a case study, we present a decision model based on the Analytic Hierarchy Process to define and evaluate the most sustainable solution(s) to secure raw water for drinking. This study proposes to integrate technical and qualitative attributes to identify the challenging criteria and the associated linkage to the problem of selecting proposals for the most sustainable solution(s) to secure raw water, being a guide to decide the implementation of the most appropriate solution.

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Section: System Descriptionmentioning

confidence: 99%

Decision Support Model for Raw Water Availability for Purification in a Region in Chile

Oddershede

Macuada

Quezada

et al. 2022

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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“…Nowadays, there are special attentions for expansion of the productivity of water treatment quality to meet the nation and global environmental standards [1]. The limitation identified with environmental organization and agencies have recently strengthened and confirm national demands and goals [2].…”

Section: Introductionmentioning

confidence: 99%

Energy Productivity Analysis of Industrial Wastewater Treatment Plants: A Data Envelopment Analysis Approach

Saghafi

Mehrdadi

Bidhendi

2018

IJEE

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Currently, the efficiency improvement of industrial wastewater treatment plant (IWWTP) has turned into a noticeable challenge for plants operator. In addition, decreasing in the cost and energy consumption of wastewater treatment plants has attracted great interest by water agencies and IWWTP management. Since IWWTPs are energy-intensive facilities, the need for cost-efficient and reliable treatment processes has significantly increased so as to meet the standards of environmental regulations and national goals. Determination of energy efficiency of IWWTPs is a starting point for any energy-saving initiative. In this paper, a case study was carried out in 79 WWTPs in Iran's industrial zones to identify electrical energy efficiency indices (EEI). In order to achieve a reliable result, Data Envelopment Analysis (DEA) was applied by Lingo11 software. The electrical energy efficiency index was estimated by regression equations for plants with different level of treatment (ready to discharge to the river, irrigation of green spaces, and agriculture) using Minitab17 software. The obtained results showed that only 1% of the treatment plants have high energy efficiency index (0.8

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“…Ouyang et al (2015) developed the a multi-criteria aid tool by combining the fuzzy AHP and multidimensional scaling (MDS) for the selection of natural WT alternatives. Macuada et al (2015) developed a multi-criteria analysis framework based on AHP for evaluating of the facilities of water treatment. Lorenzo-Toja et al (2016) employed eco-efficiency criteria based on LCA and LCC to assess the WT plants.…”

Section: Introductionmentioning

confidence: 99%

“…Macuada et al (2015) developed a multi-criteria analysis framework based on AHP for evaluating of the facilities of water treatment. Lorenzo-Toja et al (2016) employed eco-efficiency criteria based on LCA and LCC to assess the WT plants. Castillo et al (2006) developed a decision support tool by determining the weighted score for WT selection.…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria group decision-making based sustainability measurement of wastewater treatment processes

Ren

Huang

2017

Environmental Impact Assessment Review

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Multi-criteria assessment to automate water treatment plants using the analytical hierarchy process

Cited by 8 publications

References 0 publications

Decision Support Model for Raw Water Availability for Purification in a Region in Chile

Decision Support Model for Raw Water Availability for Purification in a Region in Chile

Energy Productivity Analysis of Industrial Wastewater Treatment Plants: A Data Envelopment Analysis Approach

Multi-criteria group decision-making based sustainability measurement of wastewater treatment processes

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