کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6679923 1428066 2018 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-objective optimization of microclimate in museums for concurrent reduction of energy needs, visitors' discomfort and artwork preservation risks
ترجمه فارسی عنوان
بهینه سازی چند هدف از محیط زیست در موزه ها برای کاهش همزمان نیازهای انرژی، ناراحتی بازدید کنندگان و خطرات حفظ آثار هنری
کلمات کلیدی
بهره وری انرژی، راحتی حرارتی انسان، حفاظت از آثار هنری، بهینه سازی چند هدفه، استراتژی های کنترل، ردیفهای هیدروترمال،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی
In museums, hygrothermal conditions must be carefully controlled by HVAC system to avoid artwork degradation. Higher energy requirements are needed for the maintenance of the suitable thermal environment. Moreover, a comfortable thermal sensation is needed for a positive museum experience. In light of current policies on energy efficiency, we propose an original procedure for the concurrent achievement of three goals: artwork preservation, energy efficiency, and human thermal comfort. This procedure is based on the application of multi-objective optimization and aims at correctly choosing temperature and relative humidity setpoints, through the use of dynamic simulations and evaluation of three indexes as objectives. This strategy can be particularly effective in museums hosted in historic buildings, where envelope and HVAC refurbishment is often forbidden or discouraged due to the architectural constraints. Furthermore, the retrofit action is almost costless. A case study is presented: first, a monitoring campaign in an Italian museum has been used for the validation of dynamic simulation models of the building-HVAC system; then, the validated models have been used to show that improvements of artwork lifetime, human thermal comfort and reduction of energy requirements of the HVAC system are possible, if currently-used hygrothermal setpoints (based on technical standards and guidelines) are replaced with those identified by the optimization problem.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 224, 15 August 2018, Pages 147-159
نویسندگان
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