کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8094959 | 1522063 | 2018 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evolutionary many-objective optimization for retrofit planning in public buildings: A comparative study
ترجمه فارسی عنوان
بهینه سازی چند هدف تکاملی برای برنامه ریزی تکمیلی در ساختمان های عمومی: یک مطالعه تطبیقی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
There has been an increasing movement toward retrofitting existing (in-use) buildings to achieve a significant reduction in energy consumption and greenhouse gas emissions in the building sector. When planning retrofits for public buildings, decision-makers are required to make rational decisions that will achieve four critical objectives: minimize energy consumption, reduce CO2 emissions, mitigate retrofit costs, and maximize thermal comfort. This study aims to solve this four-objective optimization problem (so-called the problem of many-objective optimization) for retrofit planning in public buildings via an evolutionary many-objective optimization (EO) algorithm that handles these objectives at the same time. This study involves the application of EO algorithms (NSGA-II, MOPSO, MOEA/D, and NSGA-III) and the evaluation of their performance. A description of these algorithms is presented, and each algorithm is implemented in a public-building retrofit project. The algorithms' performances were analyzed, and the results were compared based on two aspects: diversity and convergence. The results indicated that NSGA-III can be used to derive a comprehensive set of trade-off alternatives from possible retrofit scenarios, thereby serving as a useful reference for retrofit planners. These decision-makers can then utilize the provided references to select optimal retrofit strategies and satisfy stakeholders.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cleaner Production - Volume 190, 20 July 2018, Pages 403-410
Journal: Journal of Cleaner Production - Volume 190, 20 July 2018, Pages 403-410
نویسندگان
Hyojoo Son, Changwan Kim,