Ruopu Yang, Jia Liu, Mohan Lin, 等. From carbon reduction to negative carbon: a comprehensive review of regional integrated energy system planning theory and methods[J]. 全球能源互联网(英文), 2026,9(1).
Ruopu Yang, Jia Liu, Mohan Lin, et al. From carbon reduction to negative carbon: a comprehensive review of regional integrated energy system planning theory and methods[J]. Global Energy Interconnection, 2026, 9(1).
Ruopu Yang, Jia Liu, Mohan Lin, 等. From carbon reduction to negative carbon: a comprehensive review of regional integrated energy system planning theory and methods[J]. 全球能源互联网(英文), 2026,9(1). DOI: 10.1016/j.gloei.2025.11.004.
Ruopu Yang, Jia Liu, Mohan Lin, et al. From carbon reduction to negative carbon: a comprehensive review of regional integrated energy system planning theory and methods[J]. Global Energy Interconnection, 2026, 9(1). DOI: 10.1016/j.gloei.2025.11.004.
From carbon reduction to negative carbon: a comprehensive review of regional integrated energy system planning theory and methods
Driven by the global energy transition and the urgent ‘‘dual carbon” goals
regional integrated energy system (RIES) planning is undergoing a paradigm shift from carbon reduction to negative carbon emissions. This paper provides a comprehensive review of the theoretical frameworks and technical pathways for RIES planning from a carbon-centric perspective. A key contribution is the proposed Carbon-Energy-Economy (CEE) triple-dimensional governance framework
which endogenizes carbon factors into planning decisions through emission constraints
trading mechanisms
and capture technologies. We first analyze the fundamental characteristics of RIES and their critical role in achieving carbon neutrality
detailing advancements in multi-energy coupling models
energy router concepts
and standardized energy hub modeling. The paper further explores multi-energy flow analysis methods
and systematically compares the applicability and limitations of various planning algorithms
with emphasis on addressing uncertainties from renewable integration.Finally
we highlight the integration of artificial intelligence with traditional optimization methods
offering new pathways for intelligent
adaptive
and low-carbon RIES planning.This review underscores the transition towards data-physical fusion models
cooperative uncertainty optimization
multi-market planning
and innovative zero/negative-carbon technological routes.