طراحى وارزيابى جامع سيستم فتوولتائيك روى سقف ساختمان هاى موجود

نوع: Type: پایان نامه

مقطع: Segment: کارشناسی ارشد

عنوان: Title: طراحى وارزيابى جامع سيستم فتوولتائيك روى سقف ساختمان هاى موجود

ارائه دهنده: Provider: على الدليمى - مهندسی برق

اساتید راهنما: Supervisors: دكتر صالح رازيني

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: دكتر محمد شكريور

زمان و تاریخ ارائه: Time and date of presentation: ساعت 17 - 1405/9/1

مکان ارائه: Place of presentation: کلاس 33

چکیده: Abstract: Residential buildings with high energy consumption and carbon emissions require retrofitting with rooftop photovoltaic (PV) systems. However, the passive thermal interactions of these systems with the building envelope are often ignored in evaluation studies. Achieving a balance between energy production, thermal behavior, economic costs, and emission reduction is a major challenge in this field due to the complexities of building physics and solar geometry. Although studies have been conducted to select the best architecture and PV placement model on the roof for retrofitting buildings, these studies are often numerical comparisons and evaluations and do not provide a precise optimization framework. To address existing research gaps, this study proposes a novel method for the multi-objective optimization of retrofitting existing buildings with rooftop photovoltaic systems, accounting for energy performance, structural constraints, economic viability, life-cycle carbon, and uncertainty. In the proposed method, building characteristics, PV array characteristics, weather data, as well as economic-environmental parameters and data are collected, and six retrofit architectures are designed. In the next step, the characteristics of these architectures are analyzed and evaluated based on thermal, carbon emission, and economic models. Then, the raw data obtained from the analysis of these six retrofit models is entered into a Coarse optimization algorithm. In this step, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm is used to select the best retrofit architecture among the six architectures. The selected model architecture is then fine-tuned by the Particle Swarm Optimization (PSO) algorithm. Finally, to evaluate the resilience and performance stability of the selected plan against climatic and economic fluctuations, the Robust Multi-Objective Optimization (RMOO) model is employed; this approach incorporates a sensitivity analysis based on Monte Carlo simulation to ensure the stability of objectives and the minimization of variance amidst changing variables. Simulation results on data from a 20-year-old office building show that architectural optimization can lead to a 5.4% improvement in annual electricity generation; 5.6% greater economic profitability; and 3.8% improvement in carbon emission reduction.