Probabilistic multicriteria environmental assessment of power plants: A global approach

Barros, Juan José Cartelle; Coira, Manuel Lara; Cruz, M. Pilar de la; Cano, Alfredo; Soares, Isabel

doi:10.1016/j.apenergy.2019.114344

Cited by 16 publications

(9 citation statements)

References 74 publications

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“…Barros et al. (2020) note that the probabilistic models suffer from detailed quantitative information when the available data are limited for power plants. Also, much of the information related to risk analysis is not numerical.…”

Section: Methodsmentioning

confidence: 99%

“…For environmental aspects, there have been several field studies concerning the CO 2 , NO x , SO 2 , and particulate matter (PM 10 ) emissions (Akyuz & Kaynak, 2019; Kurtulus, 2012; Oberschelp et al., 2019; Safdarnejad et al., 2019; Steinmann et al., 2014), and fly ash (Alkan et al., 2009; Baba & Kaya, 2004; Sushil & Batra, 2006; Turhan et al., 2010; Zeydan & Wang, 2019), bottom ash (Bekat et al., 2012), screening at cooling water intake (Alden Lab, 2020; EPA, 2020), and cooling water discharge temperature ( T w ) (FLOW‐3D, 2013; Rosen et al., 2015) of coal‐fired power plants. Furthermore, in the literature, several studies are assessing the environmental, financial, and social risks associated with energy projects (Albalawi et al., 2020; Atilgan & Azapagic, 2016; Barros et al., 2020; Pfenninger & Keirstead, 2015; Tajbakhsh & Hassini, 2018; Vujic et al., 2012). However, risk assessment in coal energy projects is mainly focused on financial aspects (Saluga et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

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An integrated environmental risk assessment framework for coal‐fired power plants: A fuzzy logic approach

Bartan

Küçükali

et al. 2022

Risk Analysis

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This study quantifies the environmental risk of a coal‐fired thermal power plant during operation by using environmental monitoring data, site surveys, and documented evidence. The following criteria are assessed: emissions (CO, SO2, NOx, PM10), impact on aquatic ecosystem (fish protection at cooling water intake and cooling water discharge temperature), and waste management (fly ash and bottom ash). Fuzzy sets were defined for each criterion, taking environmental regulatory context as an expert judgment. A survey was conducted with multiple stakeholders to determine the relative importance of risk factors. The survey results showed that the most concerned risks are SO2 and NOx emissions. The proposed method estimates the risk of each environmental criterion separately and then accumulates them into an environmental risk index (ERI). Accordingly, we assessed the Catalagzi coal‐fired power plant, which has been in operation on the Black Sea coast in northwestern Turkey. For this case study, the ERI resulted in a value of 0.78 (on a scale of 0–1), showing high environmental risk to the facility. Moreover, the applicability of the proposed framework was tested in several existing coal‐fired power plants using simultaneous measurements. All studied coal‐fired power plants in Turkey have unacceptable pollutants (PM10, SO2, and NOx) concentration levels indicating high health risk potential. The application of the integrated environmental risk assessment framework showed that new environmental regulations are needed in Turkey to specify more strict emission limits and to monitor CO2, fine particulate matter emissions, cooling water discharge, and fish protection at cooling water intake.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An integrated environmental risk assessment framework for coal‐fired power plants: A fuzzy logic approach

Bartan

Küçükali

et al. 2022

Risk Analysis

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“…The Spanish electricity grid mix is used for such a purpose [ 22 ], and the corresponding values are included in Table 5 . It is important to note that these figures are proposed by the authors on perusing the literature [ 23 , 24 , 25 , 26 , 27 , 28 ]. They are representative of Spain, the country in which this study takes place.…”

Section: Methodsmentioning

confidence: 99%

“…Based on[23],2 Based on[28],3 Based on[26],4 Based on[25,27],5 Based on[24] 6. Global warming potential,7 Cumulative energy demand.…”

mentioning

confidence: 99%

Greenhouse Gas Emissions and Energy Consumption of Coastal Ecosystem Enhancement Programme through Sustainable Artificial Reefs in Galicia

Carral

Barros

Fidalgo

et al. 2021

IJERPH

Self Cite

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The principle of sustainability should condition a project in which artificial reefs are being installed to protect biodiversity as well as enhance costal ecosystems. In particular, this principle should be taken into account in the logistical processes related to manufacture and transport. This study assesses the global warming potential (GWP) and cumulative energy demand (CED) of developing a coastal ecosystem enhancement programme in the estuary region of Galicia, north-western Spain. The focus is on the processes involved in creating green artificial reefs (GARs): manufacture, transport and installation. The starting point is the supply chain for the green artificial reef (GAR) units; greenhouse gas emissions (GHG) and energy needs for each phase are analysed. Various scenarios are considered to determine which options are indeed available when it comes to establishing the supply chain. Different types of energy supplies, different options for the location of production centres, as well as different means of transport were studied. Results reveal the critical phases for selecting how the GAR units must be produced, transported by road and sea and then installed in their permanent location.

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“…This analysis is commonly performed using the Monte-Carlo method and the results guarantee a robust, more reliable decision-making process. The use of Monte-Carlo for sensitivity analyses in this context has already proven to be valuable and suitable [45,86,87].…”

Section: General Aspects Of Mivesmentioning

confidence: 99%

Sustainability-Oriented Model to Decide on Concrete Pipeline Reinforcement

et al. 2021

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The design of sustainable sewerage infrastructure is fundamental for achieving long-term sustainability goals. Piping systems are essential components in the water supply chain and in waste disposal systems worldwide. Among possible designs for concrete pipes, steel cages consisting of curved rebars have been predominantly used as reinforcement. However, structural fibres have emerged as an attractive technical and economical alternative for substituting steel cages. Due to increasing urbanisation, thousands of kilometres of pipes will be constructed in the near future. At present, decisions regarding reinforcement of concrete pipes are primarily cost-driven. To consider other aspects, it is fundamental to identify and quantify potential sustainability issues properly. Hence, this paper focuses on the sustainability analysis of reinforced concrete pipes using a multi-criteria decision-making method. A model based on criteria, indicators, weights and value functions is developed and calibrated by assessing various concrete reinforcement strategies (steel bars or steel/synthetic fibres). The main contributions of the article are the proposal and application of a model for the case of concrete pipes which can be adapted for other case studies; determining how different typologies of pipes contribute to the overall sustainability of infrastructure systems; and the use and application of a robust and interesting multi-criteria decision-making methodology. The results show that fibre reinforced concrete pipes are promising alternatives in social, economic and environmental terms. Both the model and results are expected to be useful to stakeholders in decision-making processes.

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Probabilistic multicriteria environmental assessment of power plants: A global approach

Cited by 16 publications

References 74 publications

An integrated environmental risk assessment framework for coal‐fired power plants: A fuzzy logic approach

An integrated environmental risk assessment framework for coal‐fired power plants: A fuzzy logic approach

Greenhouse Gas Emissions and Energy Consumption of Coastal Ecosystem Enhancement Programme through Sustainable Artificial Reefs in Galicia

Sustainability-Oriented Model to Decide on Concrete Pipeline Reinforcement

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