Urban Residential Buildings’ Energy Consumption Pattern and Efficiency

被引:0
|
作者
Shambalid Ahady
Nirendra Dev
Anubha Mandal
机构
[1] Delhi Technological University,Civil Engineering Department
关键词
Energy consumption; Household energy; Pattern; Efficiency; Urban energy sustainability;
D O I
暂无
中图分类号
学科分类号
摘要
The increase in buildings’ energy usage has raised concerns regarding environmental impact, supply shortages, and resource depletion. To identify and improve the energy efficiency of residential buildings, it is important to determine residential buildings’ specifications and the proportions of their energy usage. This work identifies the energy patterns and efficiency of housing in urban Afghanistan. The data were collected through a survey approach in the city of Mazar-i-Sharif, Afghanistan, and analysed through descriptive statistics, regression, and correlation analysis. The results revealed that reinforced cement concrete (RCC) structures have a high correlation with electricity bills in comparison to masonry and mud structures. These findings provide clear evidence that the majority of current urban housing, which is constructed with RCC, requires more energy for heating and cooling to maintain thermal comfort. The study also identified that, while more than 50% of the people utilise desert coolers for cooling purposes, liquefied petroleum gas (LPG) was found to be the major fuel used in urban Afghanistan for heating purposes, followed by coal and firewood. Due to extensive load-shedding problems, many households use expensive fuels such as diesels and kerosene to generate electricity. The results of this study have the potential to aid policymakers in the formulation of strategies capable of identifying energy conservation opportunities, promoting energy-efficiency measures in buildings, and evaluating the effectiveness of energy policies in Afghanistan.
引用
收藏
页码:3963 / 3978
页数:15
相关论文
共 50 条
  • [21] Electricity consumption indicators and energy efficiency in residential buildings in GCC countries: Extensive review
    Almasri, Radwan A.
    Alshitawi, M.S.
    Energy and Buildings, 2022, 255
  • [22] Electricity consumption indicators and energy efficiency in residential buildings in GCC countries: Extensive review
    Almasri, Radwan A.
    Alshitawi, M. S.
    ENERGY AND BUILDINGS, 2022, 255
  • [23] Thermal energy efficiency analysis for residential buildings
    Jantschi, Lorentz
    Balan, Mugur
    Podar, Margareata Emilia
    Bolboaca, Sorana Daniela
    EUROCON 2007: THE INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL, VOLS 1-6, 2007, : 243 - 248
  • [24] Energy Efficiency and Renewal of Residential Buildings Stock
    Popovic, Milica Joyanovic
    Kavran, Jasna
    NEW ARCH-INTERNATIONAL JOURNAL OF CONTEMPORARY ARCHITECTURE, 2014, 1 (02): : 93 - 100
  • [25] Improving the Energy Efficiency of the Residential Buildings in Jordan
    Bataineh, Khaled
    Alrabee, Ayham
    BUILDINGS, 2018, 8 (07)
  • [26] Life cycle energy consumption and greenhouse gas emissions of urban residential buildings in Guangzhou city
    Zhan, Jinyan
    Liu, Wei
    Wu, Feng
    Li, Zhihui
    Wang, Chao
    JOURNAL OF CLEANER PRODUCTION, 2018, 194 : 318 - 326
  • [27] Building energy consumption modeling at urban scale: three case studies in Europe for residential buildings
    Mutani, Guglielmina
    Todeschi, Valeria
    Kampf, Jerome
    Coors, Volker
    Fitzky, Matthias
    2018 IEEE INTERNATIONAL TELECOMMUNICATIONS ENERGY CONFERENCE (INTELEC), 2018,
  • [28] Factors Influencing the Energy Consumption of Residential Buildings: A Review
    Rafsanjani, Hamed Nabizadeh
    CONSTRUCTION RESEARCH CONGRESS 2016: OLD AND NEW CONSTRUCTION TECHNOLOGIES CONVERGE IN HISTORIC SAN JUAN, 2016, : 1133 - 1142
  • [29] An ensemble model for the energy consumption prediction of residential buildings
    Mohan, Ritwik
    Pachauri, Nikhil
    ENERGY, 2025, 314
  • [30] Influence of sunspace on energy consumption of rural residential buildings
    Ma, Lingyong
    Zhang, Xin
    Li, Dong
    Arici, Muesluem
    Yildiz, Cagatay
    Li, Qing
    Zhang, Shu
    Jiang, Wei
    SOLAR ENERGY, 2020, 211 : 336 - 344