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Nonlinear influence of urbanization on China's urban residential building carbon emissions: New evidence from panel threshold model.

Science of the Total Environment, 2021
Carbon mitigation in the urban residential building sector is critical for China to achieve its carbon peak and carbon neutral commitment. However, how urbanization affects urban residential building carbon emissions is still unclear.
T. Huo   +5 more
semanticscholar   +1 more source

Multi-objective optimization of energy performance for a detached residential building with a sunspace using the NSGA-II genetic algorithm

Solar Energy, 2021
This paper discusses a performed optimization of the structural and architectural parameters of a detached passive building with a sunspace using a non-dominant sorting genetic algorithm (NSGA-II). The building optimization is performed on the model of a
A. Vukadinović   +4 more
semanticscholar   +1 more source

Capacity Building in Residential Care

Healthcare Management Forum, 2011
A retrospective analysis of how the Dementia Care Program (DCP) contributed to capacity building at The Lodge at Broadmead (2004–2009) was conducted in 2010. Results showed facility-wide enhancements in (1) information capital, because of educational workshops and other forms of interactive learning for all staff, and (2) social capital, because of ...
Nancy, Gnaedinger, Robinson, Janice
openaire   +2 more sources

Carbon-dioxide mitigation in the residential building sector: A household scale-based assessment

Energy Conversion and Management, 2019
Carbon-dioxide mitigation in residential building sector (CMRBS) has become critical for China in achieving its emission mitigation goal in the “Post Paris” period with the growing demand for household energy service in residential buildings. This is the
Minda Ma, Xin Ma, W. Cai, Wei Cai
semanticscholar   +1 more source

Carbon dioxide intensity and income level in the Chinese megacities' residential building sector: Decomposition and decoupling analyses.

Science of the Total Environment, 2019
Carbon dioxide (CO2) caused by residential building sector is essential for China to achieve its 2030 carbon emission peak. As the indicator to control the total CO2 emissions, CO2 intensity feature should be preferentially analyzed.
Yan Liang, W. Cai, Minda Ma
semanticscholar   +1 more source

Energy and uncertainty management through domestic demand response in the residential building

, 2020
An optimal energy management is addressed in the residential building. The residential building is equipped with renewable energies including wind turbines and solar panels. The uncertainty of renewable energies is modeled by stochastic programming.
H. Mehrjerdi, R. Hemmati
semanticscholar   +1 more source

Analysis of space heating demand in the Swiss residential building stock: Element-based bottom-up model of archetype buildings

Energy and Buildings, 2019
Reducing space heating demand from the residential building stock has been established as a crucial element of the energy transition across Europe. Focusing on Switzerland, this paper presents a bottom-up model (SwissRes) which allows to analyse the ...
K. Streicher   +5 more
semanticscholar   +1 more source

Towards 2020: Zero-Energy Building for Residential and Non-Residential Buildings

2014
This chapter assesses the options for both non-residential and residential buildings to reach a zero-energy building (ZEB) standard. Besides the already widely practiced consistent minimization of the energy demand for heating and hot water supply of buildings, further progress can be made by minimizing the electric energy demand.
Hannes Hebenstreit   +3 more
openaire   +1 more source

Estimating urban residential building-related energy consumption and energy intensity in China based on improved building stock turnover model.

Science of the Total Environment, 2019
Accurate estimation of urban residential building-related energy consumption (URBEC) and energy intensity per unit floor area at the national level has significant implications for the analysis of carbon emission peaks.
T. Huo, H. Ren, W. Cai
semanticscholar   +1 more source

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