Emission reduction effect of low-carbon power generation and heating systems in industrial areas based on collaborative benefit evaluation

Abstract

To predict the future emission trends of various pollutants, a greenhouse gas calculation system is studied and the emissions of various pollutants are calculated. Then, an energy-saving supply curve is used to evaluate the economic feasibility of a certain technology. In addition, this study also utilises a synergistic effect analysis strategy and designs emission reduction target scenarios for 2030 based on spatial regression. These scenarios include energy structure adjustment, energy efficiency improvement, waste heat recovery, and end-of-life governance. The results showed that in the next decade, the emissions of CO₂, NO_x, CO, SO₂, PM₁₀, PM_2.5, VOCs, and NH₃ in industrial parks would continue to increase. The emission of CO₂ was expected to reach 289,866,000 tons. Under the four emission reduction goals, the ‘energy efficiency improvement’ scenario had the most significant reduction effect on greenhouse gases and atmospheric pollutants, with CO₂ emissions reduced by 103,251,000 tons and atmospheric pollutants reduced by 16,900 tons. This study suggests that industrial parks choose the most suitable emission reduction strategy based on the advantages of each emission reduction target scenario, in order to achieve better environmental effects.

KEYWORDS:

• Collaborative benefits
• low carbonisation
• heating
• power generation
• emission reduction

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The research is supported by Key Informatization Projects of China Southern Power Grid Co., Ltd (No. 031900HK42220002).