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On-road Transportation Carbon Emission Characteristics of Main Roads and Low-Carbon Transportation Development Scenarios in Shenzhen, China
XU Ye, WANG Jun, LIU Shuangshuang, ZENG Hui, HUANG Lian
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (1): 146-156.   DOI: 10.13209/j.0479-8023.2017.136
Abstract1502)   HTML12)    PDF(pc) (3588KB)(357)       Save

Using the international vehicle emission (IVE) model and on-road vehicle monitoring data, the carbon emission factors of three main types of vehicles in Shenzhen were calculated. Then, the authors estimated carbon emission intensities of several main roads and analyzed the spatial-temporal characteristics of transportation carbon emissions in Shenzhen. Finally, scenario analysis was used to quantitatively compare three kinds of low-carbon transport development strategies. The results showed that the transportation carbon emissions of the investigated roads were highly spatially heterogeneous, and the intensities of transportation carbon emissions in urban centers and the roads linking urban centers were higher than other roads. The transportation carbon emissions of the investigated roads had apparent daily cycle, and they had four main types: single-peak curve, double-peak curve, fluctuation curve, and stable curve. The transportation carbon emissions were high in morning and evening commuting hours during workdays. The comparative analyses of three low-carbon transportation development scenarios indicated that the mild-constraint carbon mitigation scenario could better meet the targets of socioeconomic development and transportation development of Shenzhen.

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Approaches of Buildings Carbon Mitigation Based on Spatial-Temporal Characteristics of Civil Building Energy Consumption: A Case Study on Shenzhen, China
LIU Shuangshuang, WANG Jun, XU Ye, ZENG Hui
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (1): 125-136.   DOI: 10.13209/j.0479-8023.2017.129
Abstract957)   HTML11)    PDF(pc) (3070KB)(535)       Save

The DeST model is used to simulate the energy consumption of typical civil buildings in Shenzhen, and the temporal and spatial characteristics of energy consumption of various types of buildings are summarized. The results show that different civil buildings in Shenzhen have different energy consumption characteristics in space and time. Residential buildings with low energy consumption per unit area are most widely distributed, and commercial buildings with limited numbers have the largest volume and high energy intensity, so the total consumption can not be ignored. Meanwhile, office buildings, most sensitive to the parameters change, have great energy saving potential. Combined with the development plan of Shenzhen 13th Five-Year Plan, suggestions on the strategy of building carbon reduction in Shenzhen can be summarized as follows: 1) building a comprehensive smart city, creating an exhaustive monitoring network for measuring energy consumption of various types of buildings, managing energy consumption behavior more scientifically; 2) constructing green buildings in an allround way, implementing green building standards when constructing new buildings, and valuing the reconstruction of old buildings as well, taking appropriate measures (for instants, taking part of the transformation, demolishing and reconstructing, optimizing the room combination and improving energy efficiency) when reconstructing according to the different energy consumption characteristics of the different types of buildings.

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