Estimating India's commercial building stock to address the energy data challenge

被引:12
|
作者
Kumar, Satish [1 ]
Yadav, Neha [1 ]
Singh, Mohini [1 ]
Kachhawa, Sandeep [1 ]
机构
[1] Alliance Energy Efficient Econ, Delhi, India
来源
BUILDING RESEARCH AND INFORMATION | 2019年 / 47卷 / 01期
关键词
big data; building stock; commercial buildings; energy data; energy intensity; floor area; India;
D O I
10.1080/09613218.2018.1515304
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Estimating the commercial building stock in terms of energy and area usage can be a tricky exercise in the absence of reliable and structured data. While the benefits of such an exercise are widely understood in some countries, no standard framework works in all countries due to the differences in workforce capacity and resources, national priorities, and energy data and analytics maturity of various countries. Hence, this paper documents an energy-accounting exercise that first collects commercial building sector data in India from multiple sources. An approach is then proposed that first divides the commercial building sector into categories and subcategories and then estimates the floor area (1.1 billion m(2)) and energy intensity (69 kWh/m(2)) of the entire commercial stock in 2017. Based on macro-economic parameters, the floor area (1.78 billion m(2)) and energy intensity (81 kWh/m(2)) are projected for 2027 in a business-as-usual scenario. This research sends a clear signal to other researchers and policy-makers in the central and state government about the need and potential to refine and adopt more rigorous data-collection and analytical methods by institutionalizing the process and advancing data-driven policies and evaluation in future.
引用
收藏
页码:24 / 37
页数:14
相关论文
共 50 条
  • [21] Estimating urban residential building-related energy consumption and energy intensity in China based on improved building stock turnover model
    Huo, Tengfei
    Ren, Hong
    Cai, Weiguang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 650 : 427 - 437
  • [22] Estimating COVID-19-Related Mortality in India: An Epidemiological Challenge With Insufficient Data
    Zimmermann, Lauren V.
    Salvatore, Maxwell
    Babu, Giridhara R.
    Mukherjee, Bhramar
    AMERICAN JOURNAL OF PUBLIC HEALTH, 2021, 111 : S59 - S62
  • [23] Evaluation of energy use intensity (EUI) and energy cost of commercial building in India using BIM technology
    Mahiwal S.G.
    Bhoi M.K.
    Bhatt N.
    Asian Journal of Civil Engineering, 2021, 22 (5) : 877 - 894
  • [24] Energy mapping of existing building stock in Sweden - Analysis of data from Energy Performance Certificates
    Hjortling, Camilla
    Bjork, Folke
    Berg, Magnus
    af Klintberg, Tord
    ENERGY AND BUILDINGS, 2017, 153 : 341 - 355
  • [25] A data framework for measuring the energy consumption of the non-domestic building stock
    Bruhns, Harry
    Wyatt, Peter
    BUILDING RESEARCH AND INFORMATION, 2011, 39 (03): : 211 - 226
  • [26] Methodologies for Synthetic Spatial Building Stock Modelling: Data-Availability-Adapted Approaches for the Spatial Analysis of Building Stock Energy Demand
    Nageli, Claudio
    Thuvander, Liane
    Wallbaum, Holger
    Cachia, Rebecca
    Stortecky, Sebastian
    Hainoun, Ali
    ENERGIES, 2022, 15 (18)
  • [27] Building stock energy modeling considering building system composition and long-term change for climate change mitigation of commercial building stocks
    Yamaguchi, Yohei
    Kim, Bumjoon
    Kitamura, Takuya
    Akizawa, Kotone
    Chen, Hemiao
    Shimoda, Yoshiyuki
    APPLIED ENERGY, 2022, 306
  • [28] Towards a very low-energy building stock: modelling the US commercial building sector to support policy and innovation planning
    Coffey, Brian
    Borgeson, Sam
    Selkowitz, Stephen
    Apte, Joshua
    Mathew, Paul
    Haves, Philip
    BUILDING RESEARCH AND INFORMATION, 2009, 37 (5-6): : 610 - 624
  • [29] CESAR: A bottom-up building stock modelling tool for Switzerland to address sustainable energy transformation strategies
    Wang, Danhong
    Landolt, Jonas
    Mavromatidis, Georgios
    Orehounig, Kristina
    Carmeliet, Jan
    ENERGY AND BUILDINGS, 2018, 169 : 9 - 26
  • [30] Handling data uncertainties when using Swedish energy performance certificate data to describe energy usage in the building stock
    Mangold, Mikael
    Osterbring, Magnus
    Wallbaum, Holger
    ENERGY AND BUILDINGS, 2015, 102 : 328 - 336