Research on The Planning Path of Near-Zero Carbon Parks Based on Scenario Analysis Method

Lingmin Zhang, Wei Fu, Chenglai Tian, Lu Shao, Yongli Wang, Songqing Liu and Ziyue Yang

Chapter 95 in Economic Management and Big Data Application:Proceedings of the 3rd International Conference, 2024, pp 1048-1063 from World Scientific Publishing Co. Pte. Ltd.

Abstract: Using a high-tech industrial park in a city as an example, this paper discusses the possibility and path to “near-zero carbon emissions” in industrial parks with new industries and clean energy of the same type. It calculates and analyzes the park’s carbon emissions, predicts and discusses the relevant indicators of future carbon emissions using the scenario analysis method, and makes planning recommendations based on this result. The results show that the growth rate of total carbon emissions in the city’s industrial parks has slowed down, and the carbon intensity has shown a downward trend. There is great potential for emission reduction in the field of power consumption, and it is expected to achieve “near zero carbon emissions” in the future. At the same, high-tech industrial parks should actively promote clean power, clean energy use, the low-carbon transformation of high-energy-consuming industries, and green industry development, as well as further tap the potential of carbon sinks and actively participate in the carbon market. They should take the lead in carrying out absolute emission reduction, gradually form a low-carbon development model that can be popularized and replicated, and build a “near-zero carbon emission” infrastructure.

Keywords: Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce (search for similar items in EconPapers)
JEL-codes: C63 C8 O14 (search for similar items in EconPapers)
Date: 2024
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