scholarly journals What Is the Amount of China’s Building Floor Space from 1996 to 2014?

2020 ◽  
Vol 17 (16) ◽  
pp. 5967
Author(s):  
Linwei Pan ◽  
Minglei Zhu ◽  
Ningning Lang ◽  
Tengfei Huo
Keyword(s):  
Growth Rate ◽  
Estimation Method ◽  
Building Energy ◽  
Reliable Data ◽  
Annual Growth Rate ◽  
Building Energy Efficiency ◽  
Building Stock ◽  
Floor Space ◽  
Demand Prediction ◽  
Increase Rate

The amount of building floor space (BFS) plays a key role in the energy and material demand prediction. Unfortunately, BFS estimation has faced the challenge of ineffective and inadequate approaches, and thus reliable data concerning China’s BFS is unavailable. This study proposes a new estimation method for China’s BFS and then estimates historical BFS by type in China from 1996 to 2014. The results show that total Chinese BFS grew from 28.1 billion m2 in 1996 to 61.3 billion m2 in 2014, increasing more than twice, with an annual growth rate of 4.4% from 1996 to 2014. During 1996–2014, urban residential BFS witnessed the highest annual increase rate (9.3%), while the growth rate for commercial and rural residential BFS was lower: 4.4% and 1.6%, respectively. By comparing with available statistics data, this study finds the model deviations are well below 5%, which indicates the reliability of the proposed method and robustness of the results. The proposed method not only can address the deficiencies of statistic yearbook and overcome the shortages of previous estimation approaches but also can derive more accurate and reliable data. This study lays a sound basis for the following study on building stock and building energy efficiency work.

scholarly journals Targeting building energy efficiency using thermal infrared earth observation telescopes

2021 ◽  
Vol 2042 (1) ◽  
pp. 012001
Author(s):  
Hui Ben ◽  
Erik Mackie ◽  
Ian Parry ◽  
Emily Shuckburgh ◽  
George Hawker ◽  
...  
Keyword(s):  
Cost Effective ◽  
Thermal Infrared ◽  
Building Energy ◽  
Energy Performance ◽  
Building Energy Efficiency ◽  
Building Stock ◽  
Net Zero ◽  
Data Output ◽  
Central Pillar ◽  
Infrared Data

Abstract Upgrading the energy performance of the UK’s entire building stock is the central pillar of any credible and cost-effective strategy to meeting net zero. This research aims to open up the revenue of using thermal infrared data from satellites to assist in processes on building energy performance improvement. High-resolution thermal infrared data output from space offers the potential for fast and effective monitoring provision that can cover large areas and targeted buildings or sites. We have interviewed a set of stakeholders from government, industry and community groups to build the specific use cases and find out detailed user requirements.

scholarly journals Effects of Building Energy Efficiency Measures on Air Quality at the Neighborhood Level in Athens, Greece

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5689
Author(s):  
Natasha Frilingou ◽  
Demetri Bouris
Keyword(s):  
Energy Efficiency ◽  
Air Quality ◽  
Urban Areas ◽  
Weather Prediction ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Emission Rates ◽  
High Concentration ◽  
Building Stock ◽  
Neighborhood Level

The high concentration of pollutant sources, complex topography, and regional meteorology are all factors that may contribute to air episodes in dense urban areas. Energy use in buildings is a significant source of pollution in the Greater Athens Area (GAA), Greece, where over 90% of the existing building stock has been classified below energy class B. The present study focuses on the potential effects that a realistic level of building energy efficiency upgrades will have on the air quality over the GAA. Results are expected to be relevant to similar urban areas. Furthermore, the study of primary pollutants’ dispersion is applied at a 1.2 × 1.2 km spatial resolution, providing significant local (neighborhood) level information. Numerical simulations were performed using EPA’s CALPUFF modeling system with wind field input from an independent numerical weather prediction using NCAR’s Weather Research and Forecasting (WRF) model. In order to calculate emission rates from major roads, highways, shipping ports, residential heating installations, and major industrial facilities, data were taken from National and European statistics, demographics, and local topography. After validation, the modeling system was used to examine three building energy efficiency upgrade scenarios, implemented on 20% of the buildings. Ground level concentrations of SO2, NOx, CO, and PM10 were calculated and reductions of up to 9% were found for GAA maximum values but up to 18% for local values that were also close to or above the European safety thresholds.

Ageing Saudi Population in the Facebook Era

2018 ◽  
Author(s):  
Asharaf Abdul Salam
Keyword(s):  
Growth Rate ◽  
Saudi Arabia ◽  
Population Ageing ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
Saudi Population ◽  
Aged Population ◽  
Facebook Usage

<p>Data pertaining to 1974, 1992, 2004 and 2010 Censuses in Saudi Arabia was collected. Some reviews and literature on population ageing in Saudi Arabia as well as Facebook usage obtained. Statistics pertaining to Saudi population was utilized.</p> <p>Aged population in 2010 estimated by assuming the annual growth rate of 1974-2004.</p>

Drivers of Investment in Commercial Real Estate Sustainability: 2006–2018

2019 ◽  
Vol 11 (1) ◽  
pp. 130-155
Author(s):  
Michael Brooks ◽  
J.J. McArthur
Keyword(s):  
Energy Efficiency ◽  
Real Estate ◽  
Public Relations ◽  
Building Energy ◽  
Business Case ◽  
Commercial Real Estate ◽  
Building Energy Efficiency ◽  
Number Of Factors ◽  
Near Future ◽  
Asset Managers

We investigate the factors (“drivers”) that motivated investment in energy efficiency in commercial real estate office buildings over the 2006–2011 and 2012–2017 period, and looking forward from 2018 in the context of growing concern over carbon emissions around the world. These insights were collected from large Canadian asset managers through interviews conducted in 2017 and 2018. Key findings were that (1) organizations noted an increasing number of factors driving investment decisions over the three periods; (2) cost drivers (payback period and anticipated financial returns) were the top two drivers in 2006–2017; (3) public relations factors became significantly more important looking forward, with brand (reputational impact) as the top-ranked driver and tenant attraction tied for third place; and (4) mitigation against risks such as resilience and anticipated compliance consistently increased in importance. This study contributes to a comprehensive understanding of past, present, and near-future sustainable real estate investment priorities, changing owner behaviors, and the perceived business case for building energy efficiency investments.

scholarly journals Association between triglyceride-glucose index and risk of arterial stiffness: a cohort study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Shouling Wu ◽  
Luli Xu ◽  
Mingyang Wu ◽  
Shuohua Chen ◽  
Youjie Wang ◽  
...  
Keyword(s):  
Growth Rate ◽  
Linear Regression ◽  
Arterial Stiffness ◽  
Multivariate Linear Regression ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
Cross Sectional ◽  
Tyg Index ◽  
Longitudinal Association ◽  
The Cross

Abstract Background Triglyceride–glucose (TyG) index, a simple surrogate marker of insulin resistance, has been reported to be associated with arterial stiffness. However, previous studies were limited by the cross-sectional design. The purpose of this study was to explore the longitudinal association between TyG index and progression of arterial stiffness. Methods A total of 6028 participants were derived from the Kailuan study. TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Arterial stiffness was measured using brachial-ankle pulse wave velocity (baPWV). Arterial stiffness progression was assessed by the annual growth rate of repeatedly measured baPWV. Multivariate linear regression models were used to estimate the cross-sectional association of TyG index with baPWV, and Cox proportional hazard models were used to investigate the longitudinal association between TyG index and the risk of arterial stiffness. Results Multivariate linear regression analyses showed that each one unit increase in the TyG index was associated with a 39 cm/s increment (95%CI, 29–48 cm/s, P < 0.001) in baseline baPWV and a 0.29 percent/year increment (95%CI, 0.17–0.42 percent/year, P < 0.001) in the annual growth rate of baPWV. During 26,839 person-years of follow-up, there were 883 incident cases with arterial stiffness. Participants in the highest quartile of TyG index had a 58% higher risk of arterial stiffness (HR, 1.58; 95%CI, 1.25–2.01, P < 0.001), as compared with those in the lowest quartile of TyG index. Additionally, restricted cubic spline analysis showed a significant dose–response relationship between TyG index and the risk of arterial stiffness (P non-linearity = 0.005). Conclusion Participants with a higher TyG index were more likely to have a higher risk of arterial stiffness. Subjects with a higher TyG index should be aware of the following risk of arterial stiffness progression, so as to establish lifestyle changes at an early stage.

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