کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
262550 504036 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Life cycle assessment and economic analysis of residential air conditioning in Saudi Arabia
ترجمه فارسی عنوان
ارزیابی چرخه زندگی و تجزیه و تحلیل اقتصادی تهویه مطبوع مسکونی در عربستان سعودی
کلمات کلیدی
ارزیابی چرخه حیات، تهویه مطبوع، هزینه چرخه زندگی دوره ی باز پرداخت، شبیه سازی مونت کارلو، سیستم های ساختمان انرژی و حفاظت از انرژی، کشورهای در حال توسعه
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


• The use phase is responsible for largest share of the environmental impacts.
• Copper and steel production dominate the manufacturing phase.
• The overall contribution of transportation is minor.
• With electricity subsidy, switching to more efficient units is not always beneficial.

Buildings consume 79% of Saudi electricity, of which 70% is consumed by air conditioning (AC) systems as a result of the high ambient temperatures during the long summer season and heavily subsidized cost of electricity. Fossil fuels are burned as the primary energy source in power plants causing environmental impacts. A cradle-to grave regional life cycle assessment (LCA) of residential building air conditioning has been performed to evaluate these impacts. The results show that the use phase is responsible for largest share of the environmental impacts, and that the type of primary fuel used influences the magnitude of the impacts in each region. Copper and steel production dominate the manufacturing phase impact and the end-of-life (EOL) phase results in environmental benefits by reduction in the need for virgin materials. The overall contribution of transportation is minor. Economic considerations influence decisions more than environmental concerns in a developing country like Saudi Arabia. To evaluate the relationship of economics to environmental effects, life cycle cost (LCC), and payback period (PBP) are included with the use of Monte Carlo simulation (MCS) to model the effect of the variability in input prices on the uncertainty associated with the final results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy and Buildings - Volume 102, 1 September 2015, Pages 370–379
نویسندگان
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