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- Genre: Masters Thesis
- Member of: Theses and Dissertations
Description
In the recent years, more and more products come into the market, which provides thousands of choices for consumers. We live in a world full of brands, all trying to attract our attention. A critical part of this process is the criteria for selection. Research has found that criteria always derive from individuals’ experience, which finally creates a unique identity for certain products and brands that could be considered synonym with the specific product. This is a fast-growing phenomenon since the advent of the commodity economy period. In today’s competitive environment, modern consumers are the decision makers and the heart of a value exchange. They are becoming increasingly informed as they compare the attributes of different brands. Advertising has always been one of the important ways for companies to build strong relationships with consumers. This research aims to study the relationship between brand loyalty and advertising. This research is focused on two kind of advertisements; advertisements through social network and launch events, which have different characters, differences in broadcast frequency, and different promotion methods. Interview and survey were mainly used for this study.
Research results conclude that: 1) The impact of the press conference is greater than advertising through social network and the effect of a precise advertisement is greater than repeated advertising for individuals. 2) Advertisements should be launched in a less forceful way than in the past. They should try to affect consumers subconsciously, to disguise the fact that they are advertisements and thus keep in sync with consumers, in order to help create loyalty through certain brand. 3) Consumers also want to have more interactions with firms and other users and to participate in the creation of brand-consumer relationships. 4) Advertisements have positive effect in creating brand image.
Research results conclude that: 1) The impact of the press conference is greater than advertising through social network and the effect of a precise advertisement is greater than repeated advertising for individuals. 2) Advertisements should be launched in a less forceful way than in the past. They should try to affect consumers subconsciously, to disguise the fact that they are advertisements and thus keep in sync with consumers, in order to help create loyalty through certain brand. 3) Consumers also want to have more interactions with firms and other users and to participate in the creation of brand-consumer relationships. 4) Advertisements have positive effect in creating brand image.
ContributorsZhang, Wenjing (Author) / Takamura, John (Thesis advisor) / Sanft, Alfred (Committee member) / Gray, Nancy (Committee member) / Arizona State University (Publisher)
Created2018
Description
Photovoltaic modules degrade in the field. This thesis aims to answer two questions: 1. Do photovoltaic modules degrade linearly or not? 2. Do soiled modules operate at lower temperatures than clean modules? Answers to these questions are provided in part 1 and part 2 of this thesis respectively.
Part 1: Linearity determination in degradation: The electricity output from PV power plants degrades every year. Generally, a system’s life is considered to last for 20-25 years and rate of degradation is commonly assumed as 1% per year. PV degradation can be found out using Performance Ratio (PR), Performance Index (PI) and raw kWh output. The rate of degradation is considered linear for simplicity of calculations. In this thesis, statistical methods are used to check whether systems in Arizona are degrading linearly or not. Time series modeling such as Winters’ method and ARIMA are used to model the data. Winters’ method and Seasonal ARIMA consider the seasonality component and perform well for small data sets of about 10 years. Rate of degradation is found out as linear for all the evaluated systems.
Part 2: Temperature analysis of clean and soiled modules: Soiling and temperature are important parameters in performance of PV modules. In this paper, an analysis is carried out on a soiling station located in Mesa, Arizona. The soiling station consists of 10 different c-Si coupons with tilt angles varying from 0° to 45° with the difference of 5°. These coupons are cut in half, one is cleaned periodically and the other is remained soiled naturally. The analysis involves data worth for 19 months. 6 dry spells in all four seasons within 19 months were analyzed. The temperature difference between a clean module and a soiled module (ΔT) is compared with the soiling loss factor (SLF). The analysis concludes stating in which season a soiled module is hotter or cooler than a clean module.
Part 1: Linearity determination in degradation: The electricity output from PV power plants degrades every year. Generally, a system’s life is considered to last for 20-25 years and rate of degradation is commonly assumed as 1% per year. PV degradation can be found out using Performance Ratio (PR), Performance Index (PI) and raw kWh output. The rate of degradation is considered linear for simplicity of calculations. In this thesis, statistical methods are used to check whether systems in Arizona are degrading linearly or not. Time series modeling such as Winters’ method and ARIMA are used to model the data. Winters’ method and Seasonal ARIMA consider the seasonality component and perform well for small data sets of about 10 years. Rate of degradation is found out as linear for all the evaluated systems.
Part 2: Temperature analysis of clean and soiled modules: Soiling and temperature are important parameters in performance of PV modules. In this paper, an analysis is carried out on a soiling station located in Mesa, Arizona. The soiling station consists of 10 different c-Si coupons with tilt angles varying from 0° to 45° with the difference of 5°. These coupons are cut in half, one is cleaned periodically and the other is remained soiled naturally. The analysis involves data worth for 19 months. 6 dry spells in all four seasons within 19 months were analyzed. The temperature difference between a clean module and a soiled module (ΔT) is compared with the soiling loss factor (SLF). The analysis concludes stating in which season a soiled module is hotter or cooler than a clean module.
ContributorsPatankar, Adit (Author) / Tamizhmani, Govindasamy (Thesis advisor) / Wang, Liping (Thesis advisor) / Phelan, Patrick (Committee member) / Arizona State University (Publisher)
Created2017