All articles published in
Non-Linearity in Life Cycle Assessment Volume 1 can be accessed here.
Life Cycle Assessment (LCA) is can evaluate and potentially improve the sustainability of products and services by analyzing the inventory involved in the life cycle and assessing the resulting environmental impacts from the inventory. Traditional assumptions of linearity in either inventory analysis or the impact assessment may not be effective when analyzing emerging technologies or capturing the variation of impact to receptors. For example, materials consumed for producing one unit of a product of new technology may rapidly decrease as production efficiency ramps up with produced amount. The diverse population is also not homogeneous in either exposure or toxicological responses to the pollutants emitted throughout the life cycle of product/services.
This Research Topic will seek to continue the advancement of research in non-linearity in LCA from our previous one to enhance the capacity of LCA in addressing the complexities commonly found in the real-world.
In this Research Topic, we welcome the submission of a wide range of article types covering, but not limited to, non-linearity in LCA, such as:
• Developments of methodologies (e.g., data, models, etc.) that involve non-linearity.
• Case studies that illustrate the difference in results from linear vs non-linear assumptions.
• Reviews on the progress of non-linearity in LCA.
All contributions to address non-linearity in LCA are welcomed, including developments of methodologies (e.g., data, models, etc.) that involves non-linearity, case studies that illustrate the difference in results from linear vs non-linear assumptions, reviews on the progress of non-linearity in LCA, etc. Contributions in subtopics where non-linearity in LCA that have been rarely explored are especially encouraged while advancements in other subtopics that have been pioneered are also welcomed.
Topic Editor Dr.Tsang is the founder of Three Pillar Consulting and Shams Global Solutions. The other Topic Editors declare no competing interests with regard to the Research Topic.
All articles published in
Non-Linearity in Life Cycle Assessment Volume 1 can be accessed here.
Life Cycle Assessment (LCA) is can evaluate and potentially improve the sustainability of products and services by analyzing the inventory involved in the life cycle and assessing the resulting environmental impacts from the inventory. Traditional assumptions of linearity in either inventory analysis or the impact assessment may not be effective when analyzing emerging technologies or capturing the variation of impact to receptors. For example, materials consumed for producing one unit of a product of new technology may rapidly decrease as production efficiency ramps up with produced amount. The diverse population is also not homogeneous in either exposure or toxicological responses to the pollutants emitted throughout the life cycle of product/services.
This Research Topic will seek to continue the advancement of research in non-linearity in LCA from our previous one to enhance the capacity of LCA in addressing the complexities commonly found in the real-world.
In this Research Topic, we welcome the submission of a wide range of article types covering, but not limited to, non-linearity in LCA, such as:
• Developments of methodologies (e.g., data, models, etc.) that involve non-linearity.
• Case studies that illustrate the difference in results from linear vs non-linear assumptions.
• Reviews on the progress of non-linearity in LCA.
All contributions to address non-linearity in LCA are welcomed, including developments of methodologies (e.g., data, models, etc.) that involves non-linearity, case studies that illustrate the difference in results from linear vs non-linear assumptions, reviews on the progress of non-linearity in LCA, etc. Contributions in subtopics where non-linearity in LCA that have been rarely explored are especially encouraged while advancements in other subtopics that have been pioneered are also welcomed.
Topic Editor Dr.Tsang is the founder of Three Pillar Consulting and Shams Global Solutions. The other Topic Editors declare no competing interests with regard to the Research Topic.