Analysis of Electricity and Water Consumption in Existing Mosque Buildings in the UAE

被引:1
|
作者
AlAli, Mariam [1 ]
Mattar, Yara [1 ]
Alzaim, Mhd Amer [1 ]
Beheiry, Salwa [2 ]
机构
[1] Amer Univ Sharjah, Engn Syst Management, POB 26666, Sharjah, U Arab Emirates
[2] Amer Univ Sharjah, Dept Civil Engn, POB 26666, Sharjah, U Arab Emirates
关键词
energy; mosques; electricity; consumption; EPI; ECM; ENERGY; DESIGN;
D O I
10.3390/buildings13041007
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
According to the World Economic Forum, the building sector is responsible for 40% of global energy consumption and 33% of greenhouse gas (GHG) emissions, and this is expected to increase due to population growth and the subsequent impact on the environment, economy and health. To tackle the problem, countries have set new construction codes, policies and regulations for the construction of new buildings in an effort to make them greener. However, there is a need to enhance the status of the existing buildings, especially mosques, as they are the main contributors to energy usage and water consumption in the United Arab Emirates (UAE). Therefore, this research seeks to fill this gap, aiming to evaluate the energy usage and water consumption practices employed in the existing mosque buildings within the UAE and to provide recommendations for improving the sustainability of mosques, with a focus on the environmental and economic pillars. The methodology relies mainly on data collected from 146 existing mosque buildings that have undergone energy saving audits across the UAE. Descriptive statistical analysis is performed to analyze the data from the period of 2018-2019 in order to determine the most significant factors related to energy inefficiency in existing mosque buildings in the UAE and to determine the most cost-effective and energy-saving corrective measures for energy and water conservation. The findings further enhance the standard of experience for mosque visitors (social aspect); reduce energy bill expenses, providing an acceptable return on investment from the proposed energy conservation measures for stakeholders (economic); and reduce the overall energy consumption, which can reduce the total CO2 emissions from mosque buildings (environmental).
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature
    Macknick, J.
    Newmark, R.
    Heath, G.
    Hallett, K. C.
    ENVIRONMENTAL RESEARCH LETTERS, 2012, 7 (04):
  • [2] ANALYSIS OF THE HOUSEHOLD ELECTRICITY CONSUMPTION AS THE ELEMENT OF THE ENERGY CONSUMPTION REDUCTION
    Piatek, Marta
    Stasiak-Betlejewska, Renata
    MANAGEMENT AND ECONOMICS IN MANUFACTURING, 2017, : 361 - 366
  • [3] Analyzing existing UAE national water, energy and food nexus related strategies
    Alzaabi, Mohammed S. M. Alasam
    Mezher, Toufic
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 144
  • [4] Optimization of electricity consumption in office buildings based on adaptive dynamic programming
    Shi, Guang
    Wei, Qinglai
    Liu, Derong
    SOFT COMPUTING, 2017, 21 (21) : 6369 - 6379
  • [5] WATER AND ELECTRICITY CONSUMPTION ON PASTURE-BASED AND CONFINED DAIRIES IN GEORGIA
    Belflower, J. B.
    Kiepper, B. H.
    Perry, J. C.
    Risse, L. M.
    Smith, R. C.
    APPLIED ENGINEERING IN AGRICULTURE, 2012, 28 (02) : 259 - 263
  • [6] Machine Learning Algorithms for Predicting Electricity Consumption of Buildings
    Hosseini, Soodeh
    Fard, Reyhane Hafezi
    WIRELESS PERSONAL COMMUNICATIONS, 2021, 121 (04) : 3329 - 3341
  • [7] Machine Learning Algorithms for Predicting Electricity Consumption of Buildings
    Soodeh Hosseini
    Reyhane Hafezi Fard
    Wireless Personal Communications, 2021, 121 : 3329 - 3341
  • [8] Electricity & direct water consumption on Irish pasture based dairy farms: A statistical analysis
    Shine, P.
    Scully, T.
    Upton, J.
    Shalloo, L.
    Murphy, M. D.
    APPLIED ENERGY, 2018, 210 : 529 - 537
  • [9] Empowering Tomorrow: Innovative Forecasting for UAE’s Electricity Consumption
    Verma A.
    International Journal of Information and Management Sciences, 2024, 35 (01): : 1 - 20
  • [10] Methods on reflecting electricity consumption change characteristics and electricity consumption forecasting based on clustering algorithms and fuzzy matrices in buildings
    Zhao, Tianyi
    Zhang, Chengyu
    Ujeed, Terigele
    Ma, Liangdong
    BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY, 2022, 43 (06): : 703 - 724