The Experts below are selected from a list of 64881 Experts worldwide ranked by ideXlab platform

Boqiang Lin - One of the best experts on this subject based on the ideXlab platform.

  • reducing carbon dioxide emissions in china s manufacturing industry a dynamic vector autoregression approach
    Journal of Cleaner Production, 2016
    Co-Authors: Boqiang Lin
    Abstract:

    Abstract Currently, global warming, frequent occurrence of extreme weather and air pollution are common problems facing the international community. Carbon dioxide emissions are the root causes of these environmental and climate issues. Due to rapid industrialization and urbanization, China has become the world's largest Energy Consumer and carbon dioxide emitter. Moreover, the manufacturing industry is highly Energy-consuming and pollution-intensive, accounting for nearly 60% of China's total Energy consumption and over 50% of total carbon dioxide emissions. Thus, identifying the main drivers of the industry's carbon dioxide emissions is vital for China's emission reduction and global efforts to enhance environmental protection. This study uses Vector Autoregressive model to analyze the influencing factors of the changes in carbon dioxide emissions in the industry. The results show that Energy efficiency plays a dominant role in reducing carbon dioxide emissions. Urbanization also has significant effect on carbon dioxide emissions because of large-scale real estate construction and high rate of vehicle ownership. Energy structure has higher impact on emission reduction than industrialization due to massive coal consumption and industrial structure optimization. Therefore, the Chinese government should increase investment in Energy-saving technology, optimize Energy structure, promote the production and use of new Energy and hybrid vehicles.

Amy E Landis - One of the best experts on this subject based on the ideXlab platform.

  • process Energy comparison for the production and harvesting of algal biomass as a biofuel feedstock
    Bioresource Technology, 2014
    Co-Authors: Matthew K Weschler, William J Barr, Willie F Harper, Amy E Landis
    Abstract:

    Abstract Harvesting and drying are often described as the most Energy intensive stages of microalgal biofuel production. This study analyzes two cultivation and eleven harvest technologies for the production of microalgae biomass with and without the use of drying. These technologies were combined to form 122 different production scenarios. The results of this study present a calculation methodology and optimization of total Energy demand for the production of algal biomass for biofuel production. The energetic interaction between unit processes and total process Energy demand are compared for each scenario. Energy requirements are shown to be highly dependent on final mass concentration, with thermal drying being the largest Energy Consumer. Scenarios that omit thermal drying in favor of lipid extraction from wet biomass show the most promise for Energy efficient biofuel production. Scenarios which used open ponds for cultivation, followed by settling and membrane filtration were the most Energy efficient.

  • process Energy comparison for the production and harvesting of algal biomass as a biofuel feedstock
    Bioresource Technology, 2014
    Co-Authors: Matthew K Weschler, William J Barr, Willie F Harper, Amy E Landis
    Abstract:

    Abstract Harvesting and drying are often described as the most Energy intensive stages of microalgal biofuel production. This study analyzes two cultivation and eleven harvest technologies for the production of microalgae biomass with and without the use of drying. These technologies were combined to form 122 different production scenarios. The results of this study present a calculation methodology and optimization of total Energy demand for the production of algal biomass for biofuel production. The energetic interaction between unit processes and total process Energy demand are compared for each scenario. Energy requirements are shown to be highly dependent on final mass concentration, with thermal drying being the largest Energy Consumer. Scenarios that omit thermal drying in favor of lipid extraction from wet biomass show the most promise for Energy efficient biofuel production. Scenarios which used open ponds for cultivation, followed by settling and membrane filtration were the most Energy efficient.

Alexander Skupin - One of the best experts on this subject based on the ideXlab platform.

  • mitochondrial morphology provides a mechanism for Energy buffering at synapses
    Scientific Reports, 2019
    Co-Authors: Guadalupe Clara Garcia, Thomas M Bartol, Sebastien Phan, Eric A Bushong, Guy Perkins, Terrence J Sejnowski, Mark H Ellisman, Alexander Skupin
    Abstract:

    Mitochondria as the main Energy suppliers of eukaryotic cells are highly dynamic organelles that fuse, divide and are transported along the cytoskeleton to ensure cellular Energy homeostasis. While these processes are well established, substantial evidence indicates that the internal structure is also highly variable in dependence on metabolic conditions. However, a quantitative mechanistic understanding of how mitochondrial morphology affects energetic states is still elusive. To address this question, we here present an agent-based multiscale model that integrates three-dimensional morphologies from electron microscopy tomography with the molecular dynamics of the main ATP producing components. We apply our modeling approach to mitochondria at the synapse which is the largest Energy Consumer within the brain. Interestingly, comparing the spatiotemporal simulations with a corresponding space-independent approach, we find minor spatial effects when the system relaxes toward equilibrium but a qualitative difference in fluctuating environments. These results suggest that internal mitochondrial morphology is not only optimized for ATP production but also provides a mechanism for Energy buffering and may represent a mechanism for cellular robustness.

  • mitochondrial morphology provides a mechanism for Energy buffering at synapses
    bioRxiv, 2019
    Co-Authors: Guadalupe Clara Garcia, Thomas M Bartol, Sebastien Phan, Eric A Bushong, Guy Perkins, Terrence J Sejnowski, Mark H Ellisman, Alexander Skupin
    Abstract:

    Abstract Mitochondria as the main Energy suppliers of eukaryotic cells are highly dynamic organelles that fuse, divide and are transported along the cytoskeleton to ensure cellular Energy homeostasis. While these processes are well established, substantial evidence indicates that the internal structure is also highly variable in dependence on metabolic conditions. However, a quantitative mechanistic understanding of how mitochondrial morphology affects energetic states is still elusive. To address this question, we here present an agent-based dynamic model using three-dimensional morphologies from electron microscopy tomography which considers the molecular dynamics of the main ATP production components. We apply our modeling approach to mitochondria at the synapse which is the largest Energy Consumer within the brain. Interestingly, comparing the spatiotemporal simulations with a corresponding space-independent approach, we find minor space dependence when the system relaxes toward equilibrium but a qualitative difference in fluctuating environments. These results suggest that internal mitochondrial morphology is not only optimized for ATP production but also provides a mechanism for Energy buffering and may represent a mechanism for cellular robustness.

Matthew K Weschler - One of the best experts on this subject based on the ideXlab platform.

  • process Energy comparison for the production and harvesting of algal biomass as a biofuel feedstock
    Bioresource Technology, 2014
    Co-Authors: Matthew K Weschler, William J Barr, Willie F Harper, Amy E Landis
    Abstract:

    Abstract Harvesting and drying are often described as the most Energy intensive stages of microalgal biofuel production. This study analyzes two cultivation and eleven harvest technologies for the production of microalgae biomass with and without the use of drying. These technologies were combined to form 122 different production scenarios. The results of this study present a calculation methodology and optimization of total Energy demand for the production of algal biomass for biofuel production. The energetic interaction between unit processes and total process Energy demand are compared for each scenario. Energy requirements are shown to be highly dependent on final mass concentration, with thermal drying being the largest Energy Consumer. Scenarios that omit thermal drying in favor of lipid extraction from wet biomass show the most promise for Energy efficient biofuel production. Scenarios which used open ponds for cultivation, followed by settling and membrane filtration were the most Energy efficient.

  • process Energy comparison for the production and harvesting of algal biomass as a biofuel feedstock
    Bioresource Technology, 2014
    Co-Authors: Matthew K Weschler, William J Barr, Willie F Harper, Amy E Landis
    Abstract:

    Abstract Harvesting and drying are often described as the most Energy intensive stages of microalgal biofuel production. This study analyzes two cultivation and eleven harvest technologies for the production of microalgae biomass with and without the use of drying. These technologies were combined to form 122 different production scenarios. The results of this study present a calculation methodology and optimization of total Energy demand for the production of algal biomass for biofuel production. The energetic interaction between unit processes and total process Energy demand are compared for each scenario. Energy requirements are shown to be highly dependent on final mass concentration, with thermal drying being the largest Energy Consumer. Scenarios that omit thermal drying in favor of lipid extraction from wet biomass show the most promise for Energy efficient biofuel production. Scenarios which used open ponds for cultivation, followed by settling and membrane filtration were the most Energy efficient.

Willie F Harper - One of the best experts on this subject based on the ideXlab platform.

  • process Energy comparison for the production and harvesting of algal biomass as a biofuel feedstock
    Bioresource Technology, 2014
    Co-Authors: Matthew K Weschler, William J Barr, Willie F Harper, Amy E Landis
    Abstract:

    Abstract Harvesting and drying are often described as the most Energy intensive stages of microalgal biofuel production. This study analyzes two cultivation and eleven harvest technologies for the production of microalgae biomass with and without the use of drying. These technologies were combined to form 122 different production scenarios. The results of this study present a calculation methodology and optimization of total Energy demand for the production of algal biomass for biofuel production. The energetic interaction between unit processes and total process Energy demand are compared for each scenario. Energy requirements are shown to be highly dependent on final mass concentration, with thermal drying being the largest Energy Consumer. Scenarios that omit thermal drying in favor of lipid extraction from wet biomass show the most promise for Energy efficient biofuel production. Scenarios which used open ponds for cultivation, followed by settling and membrane filtration were the most Energy efficient.

  • process Energy comparison for the production and harvesting of algal biomass as a biofuel feedstock
    Bioresource Technology, 2014
    Co-Authors: Matthew K Weschler, William J Barr, Willie F Harper, Amy E Landis
    Abstract:

    Abstract Harvesting and drying are often described as the most Energy intensive stages of microalgal biofuel production. This study analyzes two cultivation and eleven harvest technologies for the production of microalgae biomass with and without the use of drying. These technologies were combined to form 122 different production scenarios. The results of this study present a calculation methodology and optimization of total Energy demand for the production of algal biomass for biofuel production. The energetic interaction between unit processes and total process Energy demand are compared for each scenario. Energy requirements are shown to be highly dependent on final mass concentration, with thermal drying being the largest Energy Consumer. Scenarios that omit thermal drying in favor of lipid extraction from wet biomass show the most promise for Energy efficient biofuel production. Scenarios which used open ponds for cultivation, followed by settling and membrane filtration were the most Energy efficient.