کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
262358 504029 2015 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Electricity consumption of medical plug loads in hospital laboratories: Identification, evaluation, prediction and verification
ترجمه فارسی عنوان
مصرف برق بارهای پلاگین پزشکی در آزمایشگاه های بیمارستان: شناسایی، ارزیابی، پیش بینی و تایید
کلمات کلیدی
مصرف انرژی بیمارستان، بارهای داخلی، تجهیزات آزمایشگاهی، تجهیزات پزشکی، بارگذاری پلاگین
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


• Refrigeration plug loads accounted for more than half of total plug load electrical energy consumption in the assessed building.
• Only few plug load groups show energy related relevance on a building level.
• User influence seems limited, around 80% of total plug load energy consumption was owed to base load.
• Replacement of equipment out of energy conservation considerations appears economic only for refrigeration plug loads.

Evaluating the energy demand of heating, ventilation and air conditioning (HVAC) as well as lighting equipment through standardized calculation methods has become a self-evident measure for planning and optimizing non-residential buildings in recent years. For the case of hospitals however, information about the magnitude of electricity consumption caused by the vast amounts of medical equipment is still lacking. Not least due to the strongly growing use of such electrically operated devices in an increasingly complex environment, electricity has become the major energy cost driver in modern hospitals. Against this background this paper presents a model approach based on over 33,500 h of measurements within a modern University Medical Center of Hamburg/Germany to assess the time-dependent course as well as the weekly sum of the demand for electrical energy due to medical laboratory plug loads. This assessment method allows for approximating the electricity demand of the installed equipment as a supplement to the established prediction methods for the electricity demand of HVAC, lighting, etc. It was found that only a few plug load groups contribute the greater part of the total electrical energy demand. Cumulative load predictions for a full building were possible with an error of less than 6%.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy and Buildings - Volume 107, 15 November 2015, Pages 392–406
نویسندگان
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