20. A Low Carbon Society by 2050: The Stockholm-Mälar Region Case

Ekenberg, Love; Danielson, Mats; Cars, Göran; Betou, Lars In de; Buurman, Joost; Ernst, Manilla; Fasth, Tobias; Forsberg, Rebecca; Fürst, Johanna Gustafsson; Hansson, Karin; Karlström, Petter; Kivunike, Florence N.; Larsson, Å.; Liljenberg, Thomas; Liljenström, Hans; Marincea, Adina; Mihai, Adriana; Riabacke, Mona; Sauter, Wolf; Svedin, Uno; Thompson, Michael; Tusubira, F.F.; Verhagen, Harko; Wrange, Måns

doi:10.11647/obp.0108.20

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“…Subsequently, the mayor's energy strategy amendment and 2010 were successively issued In the London climate change mitigation and energy strategy of, not only put forward emission reduction targets, but also analyzed 147 action measures mainly aimed at the energy sector, transportation sector and construction sector [12]. Stockholm, Sweden, has planned a zero carbon city in 2050 and formulated the fth environmental plan (2008-2011) [13]. Seoul, South Korea, has paid attention to the synergistic effect of environmental protection, climate change and economic growth since the start of climate change action.…”

Section: Introductionmentioning

confidence: 99%

Clean Energy Utilization Technology in the Transformation of Urban Existing Residence in China

Zhao

Chen

et al. 2020

Preprint

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Clean energy substitution technology of existing residential buildings in cities is an inevitable choice for sustainable development and low-carbon ecological city construction. In this paper, the current status of energy-saving renovation and renewable energy application of existing residential buildings in various cities in China is summarized by using statistical analysis method. According to different climatic zones of existing urban areas, the production and consumption of conventional energy (e.g. electricity, gas) and new energy (e.g. solar energy and air energy) are analyzed, and the energy consumption of buildings in existing urban residential areas is analyzed based on STIRPAT model principle. The influencing factors are modeled and analyzed quantitatively. The function relationship between energy consumption of existing residential buildings and influencing factors is analyzed by Ridge Regression with R software. The research results show that the areas with energy-saving modification area of existing buildings in China exceeding 10 million m2 by 2018 include: Xinjiang, Inner Mongolia and Shandong Province; based on data analysis of 2015-2017 in China with different climatic zones, the nuclear power generation capacity in hot summer and warm winter areas is ahead of other areas and the power generation capacity is increasing year by year; the wind power and solar power generation capacity in cold areas and cold areas is comparable. Strong and power generation also increases year by year; the proportion of clean energy generation in total power generation in each region is still small; the annual power generation of clean energy in each region is positively related to the total power generation. Based on STIRPAT model analysis, compared with 2009, urban residential energy consumption increased by 43.6% in 2016.Natural gas-based clean energy has also increased from 7.9% to 13.4%.But still cannot meet the demand of energy consumption of urban residential. The research results can provide basic data support for planning and implementation of clean energy upgrading and transformation system in existing urban residential areas in China.

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Section: Introductionmentioning

confidence: 99%