China Act on the Energy Efficiency of Civil Buildings (2008): A decade review.

China has launched the energy efficiency project (EEP) for its civil building sector beginning in the mid-1980s; however, its implementation has not been effective. To better promote the EEP for the Chinese civil building sector, the Chinese government issued the China Act on the Energy Efficiency of Civil Buildings in 2008. This is the first paper to present a review of this act's implementation over the past decade. Based on China Database of Building Energy Consumption and Carbon Emissions and official documents, the achievements of this act are assessed by examining a variety of indicators. The success of the act can be attributed to the following factors: 1) a strong and sustained government commitment to top policies of building energy efficiency (BEE); 2) extensive efforts to apply the BEE standards to newly built civil buildings; 3) various incentive schemes involving energy efficiency retrofitting for existing civil buildings; 4) the increasing adoption of renewable energy to the civil building sector and of systems and platforms of energy efficiency supervision to commercial buildings; and 5) the rapid development of green buildings. Nevertheless, the revised act must address several challenges in the upcoming phase. These challenges mainly include the following: 1) the "double-control" strategy for the civil building sector; 2) the substantial development of the EEP in rural China; 3) the further development of green buildings for the low-carbon civil buildings; 4) the improvement of official statistical data systems on energy consumption and carbon emissions for civil buildings; and 5) building industrialization and informatization. It's expected that our efforts as constituting significant guidance for evaluating the EEP in the Chinese civil building sector, and the efforts will also be treated as an example for other developing countries to evaluate and revise their BEE acts.

[1]  Jing Hou,et al.  Comparative study of commercial building energy-efficiency retrofit policies in four pilot cities in China , 2016 .

[2]  François Maréchal,et al.  In-building waste water heat recovery: An urban-scale method for the characterisation of water streams and the assessment of energy savings and costs , 2017 .

[3]  Sang Hoon Lee,et al.  Commercial Building Energy Saver: An energy retrofit analysis toolkit , 2015 .

[4]  Iva Kovacic,et al.  A study on building performance analysis for energy retrofit of existing industrial facilities , 2016 .

[5]  Jian Zuo,et al.  Green building research–current status and future agenda: A review , 2014 .

[6]  Baizhan Li,et al.  An investigation of the existing situation and trends in building energy efficiency management in China , 2007 .

[7]  Yongtao Tan,et al.  A three-step strategy for decoupling economic growth from carbon emission: Empirical evidences from 133 countries. , 2019, The Science of the total environment.

[8]  Qi Zhang,et al.  A thorough assessment of China’s standard for energy consumption of buildings , 2017 .

[9]  K. Steemers,et al.  Energy policy and standard for built environment in China , 2005 .

[10]  Minda Ma,et al.  What drives the carbon mitigation in Chinese commercial building sector? Evidence from decomposing an extended Kaya identity. , 2018, The Science of the total environment.

[11]  Qiang Yao,et al.  China’s solar photovoltaic industry development: The status quo, problems and approaches , 2014 .

[12]  G. Q. Chen,et al.  Global land-water nexus: Agricultural land and freshwater use embodied in worldwide supply chains. , 2018, The Science of the total environment.

[13]  Jing Liu,et al.  Building energy efficiency in rural China , 2014 .

[14]  Arun Kumar,et al.  A review on modeling and simulation of building energy systems , 2016 .

[15]  Chris Marnay,et al.  Optimal Deployment of Thermal Energy Storage under Diverse Economic and Climate Conditions , 2014 .

[16]  Renjin Sun,et al.  Does natural gas consumption mitigate CO2 emissions: Testing the environmental Kuznets curve hypothesis for 14 Asia-Pacific countries , 2018, Renewable and Sustainable Energy Reviews.

[17]  Hanh Truong,et al.  Occupant perceptions of building information model-based energy visualizations in eco-feedback systems , 2018, Applied Energy.

[18]  Arthur P.J. Mol,et al.  Public participation in energy saving retrofitting of residential buildings in China , 2015 .

[19]  Yiqun Pan,et al.  CO2 emissions in China's building sector through 2050: A scenario analysis based on a bottom-up model , 2017 .

[20]  Malindu Sandanayake,et al.  A comparative method of air emission impact assessment for building construction activities , 2018 .

[21]  U. Berardi A cross-country comparison of the building energy consumptions and their trends , 2017 .

[22]  Mario Sassone,et al.  The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis , 2015 .

[23]  S. Tao,et al.  Direct Energy Consumption Associated Emissions by Rural-to-Urban Migrants in Beijing. , 2015, Environmental science & technology.

[24]  Haiyang Li,et al.  Carbon emission and abatement potential outlook in China's building sector through 2050 , 2018, Energy Policy.

[25]  Minda Ma,et al.  Examining the Driving Factors of Chinese Commercial Building Energy Consumption from 2000 to 2015: A STIRPAT Model Approach , 2017 .

[26]  Cong Dong,et al.  What is the probability of achieving the carbon dioxide emission targets of the Paris Agreement? Evidence from the top ten emitters. , 2018, The Science of the total environment.

[27]  Goran Vučković,et al.  Greenhouse gases emission assessment in residential sector through buildings simulations and operation optimization , 2015 .

[28]  Xiaoling Zhang,et al.  Study on dissipative structure of China’s building energy service industry system based on brusselator model , 2017 .

[29]  Alfonso Aranda-Usón,et al.  Analysis of the environmental performance of life-cycle building waste management strategies in tertiary buildings , 2016 .

[30]  Saman Rashidi,et al.  Porous materials in building energy technologies—A review of the applications, modelling and experiments , 2018, Renewable and Sustainable Energy Reviews.

[31]  Renjin Sun,et al.  Impact of natural gas consumption on CO 2 emissions: Panel data evidence from China’s provinces , 2017 .

[32]  Jin Wen,et al.  Reducing energy consumption in low income public housing: Interviewing residents about energy behaviors , 2013 .

[33]  Le Yang,et al.  Data and analytics to inform energy retrofit of high performance buildings , 2014 .

[34]  Nuno M.M. Ramos,et al.  Building information modeling for energy retrofitting – A review , 2018, Renewable and Sustainable Energy Reviews.

[35]  Yong Wang,et al.  Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China , 2019, J. Comput. Appl. Math..

[36]  Boqiang Lin,et al.  China's building energy efficiency and urbanization , 2015 .

[37]  Racine Tadeu Araújo Prado,et al.  Methodology of CO2 emission evaluation in the life cycle of office building façades , 2012 .

[38]  S. Sharples,et al.  Global warming implications of facade parameters: A life cycle assessment of residential buildings in Bahrain , 2013 .

[39]  Minda Ma,et al.  Estimating energy savings in Chinese residential buildings from 2001 to 2015: A decomposition analysis , 2017 .

[40]  Renjin Sun,et al.  Do natural gas and renewable energy consumption lead to less CO2 emission? Empirical evidence from a panel of BRICS countries , 2017 .

[41]  Ke Sun,et al.  Developing a meta-model for sensitivity analyses and prediction of building performance for passively designed high-rise residential buildings , 2017 .

[42]  Paul Raftery,et al.  A review of methods to match building energy simulation models to measured data , 2014 .

[43]  B. Saboori,et al.  Economic growth and CO2 emissions in Malaysia: A cointegration analysis of the Environmental Kuznets Curve , 2012 .

[44]  W. Cai,et al.  China building energy consumption: Situation, challenges and corresponding measures , 2009 .

[45]  Michael D. Sohn,et al.  Big-data for building energy performance: Lessons from assembling a very large national database of building energy use , 2015 .

[46]  Christer Åhlund,et al.  Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency , 2018, Renewable and Sustainable Energy Reviews.

[47]  B. Li,et al.  Quantifying the rural residential energy transition in China from 1992 to 2012 through a representative national survey , 2018 .

[48]  Wei Cai,et al.  Development of dynamic energy benchmark for mass production in machining systems for energy management and energy-efficiency improvement , 2017 .

[49]  Yongtao Tan,et al.  Dynamic sustainability performance during urbanization process between BRICS countries , 2017 .

[50]  Xiaodong Li,et al.  An integrated environmental and health performance quantification model for pre-occupancy phase of buildings in China , 2017 .

[51]  Wei Cai,et al.  Carbon abatement in China's commercial building sector: A bottom-up measurement model based on Kaya-LMDI methods , 2018, Energy.

[52]  Ming Jin,et al.  MOD-DR: Microgrid optimal dispatch with demand response , 2017 .

[53]  Liyin Shen,et al.  An adaptive neuro-fuzzy inference system (ANFIS) approach for measuring country sustainability performance , 2017 .

[54]  Boqiang Lin,et al.  CO2 emissions of China's commercial and residential buildings: Evidence and reduction policy , 2015 .

[55]  Bo Yang,et al.  Characterization of brominated flame retardants in construction and demolition waste components: HBCD and PBDEs. , 2016, The Science of the total environment.

[56]  John Kaiser Calautit,et al.  A framework for producing gbXML building geometry from Point Clouds for accurate and efficient Building Energy Modelling , 2018 .

[57]  Weidong Liu,et al.  Tracking carbon transfers embodied in Chinese municipalities' domestic and foreign trade , 2018 .

[58]  Qiang Guo,et al.  Measures to enforce mandatory civil building energy efficiency codes in China , 2016 .

[59]  Yi-Ming Wei,et al.  China's energy consumption in the building sector: A life cycle approach , 2015 .

[60]  Li Yang,et al.  Building energy efficiency in China rural areas: Situation, drawbacks, challenges, corresponding measures and policies , 2014 .

[61]  Bin Chen,et al.  Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city , 2018, Applied Energy.

[62]  Wei Wei,et al.  China Building Energy Consumption: Definitions and Measures from an Operational Perspective , 2016, 1612.02654.

[63]  Edwin H.W. Chan,et al.  Key performance indicators (KPI) for the sustainability of building energy efficiency retrofit (BEER) in hotel buildings in China , 2012 .

[64]  Weiguang Cai,et al.  Incentive mechanism design for the residential building energy efficiency improvement of heating zones in North China , 2009 .

[65]  Ming Jin,et al.  Microgrid to enable optimal distributed energy retail and end-user demand response , 2018 .

[66]  Rehan Sadiq,et al.  Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings , 2016 .

[67]  Wei Feng,et al.  Energy efficiency outlook in China’s urban buildings sector through 2030 , 2016 .

[68]  Pengpeng Xu,et al.  An ANP-SWOT approach for ESCOs industry strategies in Chinese building sectors , 2018, Renewable and Sustainable Energy Reviews.

[69]  Johan Braet,et al.  Life cycle assessment in the construction sector: A review , 2013 .

[70]  Shonali Pachauri,et al.  China's Green Lights Program: A review and assessment , 2017 .

[71]  H. Schroeder,et al.  How modifications of China's energy data affect carbon mitigation targets , 2018 .

[72]  P. Ciais,et al.  Reduced carbon emission estimates from fossil fuel combustion and cement production in China , 2015, Nature.

[73]  Bruce Nordman,et al.  A simulation-based efficiency comparison of AC and DC power distribution networks in commercial buildings , 2018 .

[74]  Yongtao Tan,et al.  Critical Success Factors (CSFs) for the Adaptive Reuse of Industrial Buildings in Hong Kong , 2018, International journal of environmental research and public health.

[75]  Ming Jin,et al.  A review of microgrid development in the United States – A decade of progress on policies, demonstrations, controls, and software tools , 2018, Applied Energy.

[76]  Yong Shi,et al.  A review of data-driven approaches for prediction and classification of building energy consumption , 2018 .

[77]  Veena Subramanyam,et al.  Greenhouse gas emissions mitigation potential in the commercial and institutional sector , 2017 .

[78]  Wei Feng,et al.  Robust optimization for energy transactions in multi-microgrids under uncertainty , 2018 .

[79]  Yiqun Pan,et al.  An automated optimization method for calibrating building energy simulation models with measured data: Orientation and a case study , 2016 .

[80]  Seungjun Roh,et al.  Integrated building life-cycle assessment model to support South Korea's green building certification system (G-SEED) , 2017 .

[81]  Xiaohua Xia,et al.  A multi-objective optimization model for energy-efficiency building envelope retrofitting plan with rooftop PV system installation and maintenance , 2017 .

[82]  Geoffrey Qiping Shen,et al.  Green retrofit of aged residential buildings in Hong Kong: A preliminary study , 2018, Building and Environment.

[83]  D. Shi,et al.  Spectral selective and photothermal nano structured thin films for energy efficient windows , 2017 .

[84]  Kang He,et al.  Developing the ecological compensation criterion of industrial solid waste based on emergy for sustainable development , 2018, Energy.

[85]  W. Cai,et al.  How to Measure Carbon Emission Reduction in China’s Public Building Sector: Retrospective Decomposition Analysis Based on STIRPAT Model in 2000–2015 , 2017 .

[86]  S. Davis,et al.  The rise of South–South trade and its effect on global CO2 emissions , 2018, Nature Communications.

[87]  Yi-Ming Wei,et al.  Chinese CO2 emission flows have reversed since the global financial crisis , 2017, Nature Communications.

[88]  Bin Shui,et al.  A comprehensive analysis of building energy efficiency policies in China: status quo and development perspective , 2015 .

[89]  Yong Wu,et al.  A review of building energy efficiency in China during “Eleventh Five-Year Plan” period , 2012 .

[90]  Craig Standing,et al.  Critical success factors of sustainable project management in construction: A fuzzy DEMATEL-ANP approach , 2018, Journal of Cleaner Production.

[91]  Hui Li,et al.  Energy intensity and energy conservation potential in China: A regional comparison perspective , 2018, Energy.

[92]  Latif Onur Uğur,et al.  An examination of the LEED green building certification system in terms of construction costs , 2018 .

[93]  Gerardo Maria Mauro,et al.  Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality , 2016 .

[94]  Ran Yan,et al.  An extended STIRPAT model-based methodology for evaluating the driving forces affecting carbon emissions in existing public building sector: evidence from China in 2000–2015 , 2017, Natural Hazards.

[95]  Ning Li,et al.  A study on energy performance of 30 commercial office buildings in Hong Kong , 2017 .

[96]  Pieter de Wilde,et al.  A review of uncertainty analysis in building energy assessment , 2018, Renewable and Sustainable Energy Reviews.

[97]  T. M. Leung,et al.  A review on Life Cycle Assessment, Life Cycle Energy Assessment and Life Cycle Carbon Emissions Assessment on buildings , 2015 .

[98]  Minda Ma,et al.  Energy savings evaluation in public building sector during the 10th–12th FYP periods of China: an extended LMDI model approach , 2018, Natural Hazards.

[99]  Hanwei Liang,et al.  Modeling In-Use Steel Stock in China's Buildings and Civil Engineering Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights , 2014, Remote. Sens..

[100]  Miguel Molina-Solana,et al.  Data science for building energy management: A review , 2017 .

[101]  Nan Zhou,et al.  China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model , 2013 .

[102]  Bin Chen,et al.  Global energy flows embodied in international trade: A combination of environmentally extended input–output analysis and complex network analysis , 2018 .

[103]  Can Wang,et al.  Rural public acceptance of renewable energy deployment: The case of Shandong in China (Online first) , 2013 .

[104]  Veena Subramanyam,et al.  Energy efficiency improvement opportunities and associated greenhouse gas abatement costs for the residential sector , 2017 .

[105]  Wei Pan,et al.  A review of interdependence of sustainable building , 2016 .

[106]  Kim Bjarne Wittchen,et al.  Estimating the energy-saving potential in national building stocks – A methodology review , 2018 .

[107]  Samuel Asumadu Sarkodie,et al.  A review on Environmental Kuznets Curve hypothesis using bibliometric and meta-analysis. , 2019, The Science of the total environment.

[108]  Wei Cai,et al.  An energy management approach for the mechanical manufacturing industry through developing a multi-objective energy benchmark , 2017 .

[109]  Guglielmina Mutani,et al.  Chinese residential energy demand: Scenarios to 2030 and policies implication , 2015 .

[110]  Ronggui Yang,et al.  Scalable-manufactured randomized glass-polymer hybrid metamaterial for daytime radiative cooling , 2017, Science.

[111]  Ran Yan,et al.  A methodology to assess China's building energy savings at the national level: An IPAT-LMDI model approach , 2017 .

[112]  Nora El-Gohary,et al.  A review of data-driven building energy consumption prediction studies , 2018 .

[113]  M. Skitmore,et al.  Green building incentives: A review , 2016 .

[114]  Minda Ma,et al.  Do commercial building sector-derived carbon emissions decouple from the economic growth in Tertiary Industry? A case study of four municipalities in China. , 2019, The Science of the total environment.

[115]  Ran Yan,et al.  A STIRPAT model-based methodology for calculating energy savings in China’s existing civil buildings from 2001 to 2015 , 2017, Natural Hazards.