N. Barforoush; A. Etebarian; A.R. Naghsh; A. Shahin
Abstract
A carbon-based industry, such as oil refinery, needs to change its business model to achieve a green business. Considering the existing too much data, the modeling procedure is complex. Therefore, combination of the Fuzzy Delphi method and System Dynamics can be considered to cover this complexity. The ...
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A carbon-based industry, such as oil refinery, needs to change its business model to achieve a green business. Considering the existing too much data, the modeling procedure is complex. Therefore, combination of the Fuzzy Delphi method and System Dynamics can be considered to cover this complexity. The starting point in this work is literature review of prior studies on the same common topic and green business, and it relies on a Fuzzy Delphi method to define main parameters. Based on the experts’ opinions, management support (0.78), cost (0.77), knowledge management (0.73), quality (0.64), staff training and empowering (0.63) customer satisfaction (0.63), environmental plan (0.61), production and process design (0.58) as well as suppliers (0.35) are the determining parameters in modeling green oil refining industry, respectively. Application of the results of the scenarios proposed based on importance illustrates the increasing share of the green business financial resource in considerable growth (39 %) of applying the green business model by 50% chance. Financial investing in the recycling plan leads up to a positive effect (43%) by almost equal chance of 50%-100%. Investing in staff training and empowerment leads to 37.5 % growth in exploiting the green business model with 50% chance. In conclusion, the oil refining organizations must pay attention to the above-mentioned part of their business to generate income and save environmental resources.
F. Dalir; M. Shafiepour Motlagh; K. Ashrafi
Abstract
In this study a pseudo comprehensive carbon footprint model for fossil fuel power plants is presented. Parameters which their effects are considered in this study include: plant type, fuel type, fuel transmission type, internal consumption of the plant, degradation, site ambient condition, transmission ...
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In this study a pseudo comprehensive carbon footprint model for fossil fuel power plants is presented. Parameters which their effects are considered in this study include: plant type, fuel type, fuel transmission type, internal consumption of the plant, degradation, site ambient condition, transmission and distribution losses. Investigating internal consumption, degradation and site ambient condition effect on carbon footprint assessment of fossil fuel power plant is the specific feature of the proposed model. To evaluate the model, a sensitivity analysis is performed under different scenarios covering all possible choices for investigated parameters. The results show that carbon footprint of fossil fuel electrical energy that is produced, transmitted and distributed, varies from 321 g CO2 eq/kWh to 980 g CO2 equivalent /kWh. Carbon footprint of combined cycle with natural gas as main fuel is the minimum carbon footprint. Other factors can also cause indicative variation. Fuel type causes a variation of 28%. Ambient condition may change the result up to 13%. Transmission makes the carbon footprint larger by 4%. Internal consumption and degradation influence the result by 2 and 2.5%, respectively. Therefore, to minimize the carbon footprint of fossil fuel electricity, it is recommended to construct natural gas ignited combined cycles in low lands where the temperature is low and relative humidity is high. And the internal consumption is as least as possible and the maintenance and overhaul is as regular as possible.