Energy consumption is a significant contributor to greenhouse gas emissions with its environmental footprint growing steadily. Implementing energy monitoring, benchmarking, and optimization enables manufacturers to better manage energy usage, reduce energy costs, identify deficiencies and address them at the operational/tactical levels, and transition to pursue sustainability targets at the strategic level. Modern energy monitoring and control systems are taking advantage of the Internet of Things (IoT), cloud-based platforms, wireless sensor networks, and artificial intelligence to enable well-informed energy management. Such smart systems enable streamlined and intelligent sensing and monitoring of energy usage under a wide range of operating conditions. In this situation, big data analysis and optimization algorithms are much-needed tools to contribute to energy-aware production processes.
Despite the significant progress in manufacturing sustainability, strategic integration for energy conservation in the production sector is underexplored. As the manufacturing systems differ in scale, product variety, and flexibility, among other attributes, there is little consistency and coordinated ways of energy-saving to support a system-wide strategy. This Call for Papers (CfP) primarily focuses on cutting-edge technologies and methodologies of integrated energy monitoring, evaluation, and optimization in distributed manufacturing systems to provide deeper insight into energy utilization and energy saving in production industries. Such technologies and methodologies enable managers and stakeholders to be cognizant of the total energy consumption at different manufacturing facilities and value chain stages to identify opportunities for enhancing energy efficiency in the supply chain.
Articles on energy-related monitoring, evaluation, and optimization in manufacturing systems have been targeted for this CfP with the research topics related to advanced energy monitoring techniques, theories, novel evaluation and decision-making methods, as well as optimization strategies. We welcome a variety of manuscript types, like original research papers, reviews, case reports, etc. This research topic covers (but is not limited to) the following themes:
• Environmental assessment of energy consumption
• Energy benchmarking
• Energy system optimization
• Performance evaluation and energy analysis of renewable energy systems
• STEEP analysis of alternative energy sources
• Energy transition/conversion for sustainable manufacturing
• Energy-aware production planning and control
• Big data analysis for reducing energy consumption
• Digital twin, IoT, and AI-based energy monitoring
• Manufacturing process control toward energy efficiency
• Energy-saving equipment and materials
• Circular supply chain and energy management
• Energy management and decision-making
Energy consumption is a significant contributor to greenhouse gas emissions with its environmental footprint growing steadily. Implementing energy monitoring, benchmarking, and optimization enables manufacturers to better manage energy usage, reduce energy costs, identify deficiencies and address them at the operational/tactical levels, and transition to pursue sustainability targets at the strategic level. Modern energy monitoring and control systems are taking advantage of the Internet of Things (IoT), cloud-based platforms, wireless sensor networks, and artificial intelligence to enable well-informed energy management. Such smart systems enable streamlined and intelligent sensing and monitoring of energy usage under a wide range of operating conditions. In this situation, big data analysis and optimization algorithms are much-needed tools to contribute to energy-aware production processes.
Despite the significant progress in manufacturing sustainability, strategic integration for energy conservation in the production sector is underexplored. As the manufacturing systems differ in scale, product variety, and flexibility, among other attributes, there is little consistency and coordinated ways of energy-saving to support a system-wide strategy. This Call for Papers (CfP) primarily focuses on cutting-edge technologies and methodologies of integrated energy monitoring, evaluation, and optimization in distributed manufacturing systems to provide deeper insight into energy utilization and energy saving in production industries. Such technologies and methodologies enable managers and stakeholders to be cognizant of the total energy consumption at different manufacturing facilities and value chain stages to identify opportunities for enhancing energy efficiency in the supply chain.
Articles on energy-related monitoring, evaluation, and optimization in manufacturing systems have been targeted for this CfP with the research topics related to advanced energy monitoring techniques, theories, novel evaluation and decision-making methods, as well as optimization strategies. We welcome a variety of manuscript types, like original research papers, reviews, case reports, etc. This research topic covers (but is not limited to) the following themes:
• Environmental assessment of energy consumption
• Energy benchmarking
• Energy system optimization
• Performance evaluation and energy analysis of renewable energy systems
• STEEP analysis of alternative energy sources
• Energy transition/conversion for sustainable manufacturing
• Energy-aware production planning and control
• Big data analysis for reducing energy consumption
• Digital twin, IoT, and AI-based energy monitoring
• Manufacturing process control toward energy efficiency
• Energy-saving equipment and materials
• Circular supply chain and energy management
• Energy management and decision-making
