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The Effect of Low-Carbon Technology on Carbon Emissions Reduction in the Building Sector: A Case Study of Xi’an, China

  • Dongyi Zhang
  • , Lu Sun
  • , Yifan Zhang
  • , Tianye Liu
  • , Lu Gao
  • , Fufu Wang
  • , Xinting Qiao
  • , Yuqi Liu
  • , Jian Zuo
  • , Yupeng Wang
  • Xi'an Jiaotong University
  • University of South China
  • University of Adelaide

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Efficient carbon reduction pathways in the building sector are critical for urban decarbonization. This study predicts urban carbon emissions and establishes models to evaluate the carbon emission reduction potential of applying building low-carbon technologies (LCTs) at the urban scale. The models under consideration encompass a spectrum of active strategies, specifically heat pump (HP), rooftop photovoltaic (PV) systems, and smart heating, ventilation, and air conditioning (HVAC) systems, alongside passive strategies encompassing advanced building materials and building envelopes. The predictive calculations consider building typologies, technological evolution, adoption rates, and local policy constraints. Results indicate that by 2030, the building sector in Xi’an will account for over 30% of the city’s total carbon emissions. The integrated emission reduction effect of LCTs reaches 25.8%, with building materials contributing the most significantly at 9%. Notably, rooftop PV systems demonstrate the highest carbon reduction potential among active strategies, while HP exhibits the fastest annual growth rate in mitigation. Furthermore, the study evaluates the feasibility of these LCTs to accelerate progress toward carbon reduction goals in the building sector.

Original languageEnglish
Article number1989
JournalBuildings
Volume15
Issue number12
DOIs
StatePublished - Jun 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • carbon emission model
  • carbon emissions prediction
  • carbon reduction potential
  • low-carbon technologies
  • sustainable buildings

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