The Experts below are selected from a list of 72 Experts worldwide ranked by ideXlab platform
Erhard F Joeres - One of the best experts on this subject based on the ideXlab platform.
-
development of a facility based Environmental Performance Indicator related to sustainable development
Journal of Cleaner Production, 1997Co-Authors: Patrick D Eagan, Erhard F JoeresAbstract:Abstract Companies are increasingly interested in Environmental Performance Indicators as a means of managing the degree to which Environmental goals and objectives are implemented. Many companies have publicly endorsed goals associated with sustainable development, like the International Chamber of Commerce's (ICC) principles for sustainable development. There is a need for metrics that facilitate implementation of these principles at the facility level and for research metrics that measure management improvement. An existing Environmental self-assessment management tool called ESAP by the Global Environmental Management Initiative has been modified to measure a facility's response to the ICC's 16 principles of sustainability. The new tool's focus was shifted to a practical, facility based and easily applied assessment of progress towards sustainable development as represented by the ICC's 16 principles of sustainability. The new tool was called the Green Management Assessment Tool or GMAT, pilot tested and used in a research setting. Such tools have value to companies that are interested in the strategic goals of sustainable development and struggle with shifting corporate goals and objectives to manufacturing operations at the facility level.
Pezhman Ghadimi - One of the best experts on this subject based on the ideXlab platform.
-
life cycle based Environmental Performance Indicator for the coal to energy supply chain a chinese case application
Resources Conservation and Recycling, 2019Co-Authors: Pezhman Ghadimi, Chao Wang, Amir Hossein Azadnia, Ming Lim, John W SutherlandAbstract:Abstract Coal consumption and energy production (CCEP) has received increasing attention since coal-fired power plants play a dominant role in the power sector worldwide. In China, coal is expected to retain its primary energy position over the next few decades. However, a large share of CO2 emissions and other Environmental hazards, such as SO2 and NOx, are attributed to coal consumption. Therefore, understanding the Environmental implications of the life cycle of coal from its production in coal mines to its consumption at coal-fired power plants is an essential task. Evaluation of such Environmental burdens can be conducted using the life cycle assessment (LCA) tool. The main issues with the traditional LCA results are the lack of a numerical magnitude associated with the Performance level of the obtained Environmental burden values and the inherent uncertainty associated with the output results. This issue was addressed in this research by integrating the traditional LCA methodology with a weighted fuzzy inference system model, which is applied to a Chinese coal-to-energy supply chain system to demonstrate its applicability and effectiveness. Regarding the coal-to-energy supply chain under investigation, the CCEP Environmental Performance has been determined as “medium Performance”, with an Indicator score of 39.15%. Accordingly, the decision makers suggested additional scenarios (redesign, equipment replacement, etc.) to improve the Performance. A scenario-based analysis was designed to identify alternative paths to mitigate the Environmental impact of the coal-to-energy supply chain. Finally, limitations and possible future work are discussed, and the conclusions are presented.
Patrick D Eagan - One of the best experts on this subject based on the ideXlab platform.
-
development of a facility based Environmental Performance Indicator related to sustainable development
Journal of Cleaner Production, 1997Co-Authors: Patrick D Eagan, Erhard F JoeresAbstract:Abstract Companies are increasingly interested in Environmental Performance Indicators as a means of managing the degree to which Environmental goals and objectives are implemented. Many companies have publicly endorsed goals associated with sustainable development, like the International Chamber of Commerce's (ICC) principles for sustainable development. There is a need for metrics that facilitate implementation of these principles at the facility level and for research metrics that measure management improvement. An existing Environmental self-assessment management tool called ESAP by the Global Environmental Management Initiative has been modified to measure a facility's response to the ICC's 16 principles of sustainability. The new tool's focus was shifted to a practical, facility based and easily applied assessment of progress towards sustainable development as represented by the ICC's 16 principles of sustainability. The new tool was called the Green Management Assessment Tool or GMAT, pilot tested and used in a research setting. Such tools have value to companies that are interested in the strategic goals of sustainable development and struggle with shifting corporate goals and objectives to manufacturing operations at the facility level.
John W Sutherland - One of the best experts on this subject based on the ideXlab platform.
-
life cycle based Environmental Performance Indicator for the coal to energy supply chain a chinese case application
Resources Conservation and Recycling, 2019Co-Authors: Pezhman Ghadimi, Chao Wang, Amir Hossein Azadnia, Ming Lim, John W SutherlandAbstract:Abstract Coal consumption and energy production (CCEP) has received increasing attention since coal-fired power plants play a dominant role in the power sector worldwide. In China, coal is expected to retain its primary energy position over the next few decades. However, a large share of CO2 emissions and other Environmental hazards, such as SO2 and NOx, are attributed to coal consumption. Therefore, understanding the Environmental implications of the life cycle of coal from its production in coal mines to its consumption at coal-fired power plants is an essential task. Evaluation of such Environmental burdens can be conducted using the life cycle assessment (LCA) tool. The main issues with the traditional LCA results are the lack of a numerical magnitude associated with the Performance level of the obtained Environmental burden values and the inherent uncertainty associated with the output results. This issue was addressed in this research by integrating the traditional LCA methodology with a weighted fuzzy inference system model, which is applied to a Chinese coal-to-energy supply chain system to demonstrate its applicability and effectiveness. Regarding the coal-to-energy supply chain under investigation, the CCEP Environmental Performance has been determined as “medium Performance”, with an Indicator score of 39.15%. Accordingly, the decision makers suggested additional scenarios (redesign, equipment replacement, etc.) to improve the Performance. A scenario-based analysis was designed to identify alternative paths to mitigate the Environmental impact of the coal-to-energy supply chain. Finally, limitations and possible future work are discussed, and the conclusions are presented.
Chao Wang - One of the best experts on this subject based on the ideXlab platform.
-
life cycle based Environmental Performance Indicator for the coal to energy supply chain a chinese case application
Resources Conservation and Recycling, 2019Co-Authors: Pezhman Ghadimi, Chao Wang, Amir Hossein Azadnia, Ming Lim, John W SutherlandAbstract:Abstract Coal consumption and energy production (CCEP) has received increasing attention since coal-fired power plants play a dominant role in the power sector worldwide. In China, coal is expected to retain its primary energy position over the next few decades. However, a large share of CO2 emissions and other Environmental hazards, such as SO2 and NOx, are attributed to coal consumption. Therefore, understanding the Environmental implications of the life cycle of coal from its production in coal mines to its consumption at coal-fired power plants is an essential task. Evaluation of such Environmental burdens can be conducted using the life cycle assessment (LCA) tool. The main issues with the traditional LCA results are the lack of a numerical magnitude associated with the Performance level of the obtained Environmental burden values and the inherent uncertainty associated with the output results. This issue was addressed in this research by integrating the traditional LCA methodology with a weighted fuzzy inference system model, which is applied to a Chinese coal-to-energy supply chain system to demonstrate its applicability and effectiveness. Regarding the coal-to-energy supply chain under investigation, the CCEP Environmental Performance has been determined as “medium Performance”, with an Indicator score of 39.15%. Accordingly, the decision makers suggested additional scenarios (redesign, equipment replacement, etc.) to improve the Performance. A scenario-based analysis was designed to identify alternative paths to mitigate the Environmental impact of the coal-to-energy supply chain. Finally, limitations and possible future work are discussed, and the conclusions are presented.