Low-Carbon Integrated Energy System with Renewable Generations: Characterization, Modelling, and Optimization
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B: Energy and Environment".
Deadline for manuscript submissions: 20 November 2024 | Viewed by 8749
Special Issue Editors
Interests: internal combustion engines; spray combustion; computational fluid dynamics; vehicle emissions; air quality; renewable energy
Special Issues, Collections and Topics in MDPI journals
Interests: distributed optimization; smart grid; nash game
Interests: heat and mass transfer; thermodynamics; low carbon technologies and utilization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The contradiction between economic development and the environment has become a major concern globally. Carbon emission reduction is critical to achieving sustainable economic development. As a major carbon emitter, the carbon-emission problem of the energy system cannot be ignored. The traditional energy system, with deep integrations of advanced information and energy-conversion technologies, has evolved into an integrated energy system in which multiple energy sources interact and respond to each other. It can achieve a complementary and mutually beneficial operation mode, leading to a significant reduction in carbon emissions. Therefore, it is necessary to conduct detailed modeling and optimization research on integrated energy systems with renewable generations.
As the main root of the greenhouse effect, carbon emission is a long-existing and critical problem. Especially in the integrated energy system, carbon emission is coupled temporally and spatially due to the complementarity of multi-energy resources, leading to arduousness in controlling its low-carbon operation. To achieve the environment-friendly operation of the integrated energy system with renewable generations, the key is to analyze the characterization of carbon migration and establish an accurate carbon-matching mechanism, which requires system-level modeling, characterizing, and controlling. This research topic aims to deepen our understanding of characterization and modeling of carbon emission in an integrated energy system by the aid of various optimization methods. Specifically, we focus on system-level modeling, distributed optimization, and industrial-level optimization of integrated energy systems with renewable generations driven by artificial intelligence.
This Special Issue aims to provide a platform for researchers to share their latest studies on low-carbon integrated energy systems, with a special focus on modeling and optimization methods. Specific themes of this Special Issue include but are not limited to:
- Low-carbon economic dispatch for integrated energy systems with renewable generations.
- Carbon-tracking and carbon-migration mechanisms for integrated energy systems with renewable generations.
- Environmental assessment indicators for integrated energy systems with renewable generations.
- Distributed optimization method for the low-carbon operation of the integrated energy system with renewable generations.
- Optimization of the integrated energy system based on artificial intelligence with renewable generations.
Dr. Yuhan Huang
Dr. Wenting Lin
Dr. Xuehui Wang
Dr. Jianye Chen
Guest Editors
Manuscript Submission Information
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Keywords
- low carbon
- integrated energy system
- electricity–gas coupling
- distributed optimization
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