Carbon-Aware Dispatch of Industrial Park Energy Systems with Demand Response and Ladder-Type Carbon Trading
The transition to sustainable energy systems is essential for attaining global carbon neutrality targets. Demand-side flexibility for carbon mitigation is investigated, and a low-carbon operational strategy tailored for industrial park energy systems is proposed. Demand response (DR) is classified into price-based and alternative categories, with respective models developed utilizing a price elasticity matrix and accounting for electricity-to-heat conversion. Integrated energy system (IES) involvement in the carbon trading market is incorporated through a stepped carbon pricing mechanism to regulate emissions. A mixed-integer linear programming model is constructed to characterize IES operations under ladder-type carbon pricing and DR frameworks. The model is resolved via the off-the-shelf commercial solver, facilitating effective optimization of dispatch over multiple time intervals and complex market interactions. Case study findings indicate that implementing stepped carbon pricing alongside DR strategies yields a 44.45% reduction in carbon emission costs, a 9.85% decrease in actual carbon emissions, and a 10.62% reduction in total system costs. These results offer a viable approach toward sustainable development of IES, achieving coordinated improvements in economic efficiency and low-carbon performance.
Authors
- Chao Yan (ORCID: https://orcid.org/0000-0002-6391-8797)
- Chunrui Li (ORCID: https://orcid.org/0000-0001-5134-7133)
- Hongwei Li (ORCID: https://orcid.org/0000-0003-0229-7963)
- Jun Wang (ORCID: https://orcid.org/0000-0001-9264-306X)
- Qi Han (ORCID: https://orcid.org/0000-0001-9561-4547)
- Jianyun Xu (ORCID: https://orcid.org/0000-0003-3566-2912)
Institutions
- State Grid Corporation of China (China) (CN)
- Henan University of Technology (CN)
Publication Details
- Journal
- Sustainability
- Published
- 2025-10-24
- DOI
- https://doi.org/10.3390/su17219472
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00