Low-Carbon Economic Operation of Natural Gas Demand Side Integrating Dynamic Pricing Signals and User Behavior Modeling
Ning Tian, Bilin Shao, Huibin Zeng, Xue Zhao, Wei Zhao
TL;DR
This paper introduces a model for optimizing natural gas use that reduces costs and carbon emissions by considering pricing, user behavior, and environmental constraints.
Contribution
A novel low-carbon economic operation model integrating dynamic pricing, user behavior, and carbon management for natural gas systems.
Findings
The model reduces gas supply costs by 3.45% for residential and 6.82% for non-residential users.
Carbon emissions decrease by 115.18 kg and 2156.8 kg for residential and non-residential users, respectively.
Non-residential users save 183.85 CNY in carbon trading costs.
Abstract
Natural gas plays a key role in the low-carbon energy transition due to its clean and efficient characteristics, yet challenges remain in balancing economic efficiency, user behavior, and carbon emission constraints in demand-side scheduling. This study proposes a low-carbon economic operation model for terminal natural gas systems, integrating price elasticity and differentiated user behavior with carbon emission management strategies. To capture diverse demand patterns, dynamic time warping k-medoids clustering is employed, while scheduling optimization is achieved through a multi-objective framework combining NSGA-III, the entropy weight (EW) method, and the VIKOR decision-making approach. Using real-world data from a gas station in Xi’an, simulation results show that the model reduces gas supply costs by 3.45% for residential users and 6.82% for non-residential users, increases user…
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Taxonomy
TopicsIntegrated Energy Systems Optimization · Process Optimization and Integration · Electric Power System Optimization