Academic Journal
Considering Environmental Health and Energy Resources to Design Transformers
| العنوان: | Considering Environmental Health and Energy Resources to Design Transformers |
|---|---|
| المؤلفون: | Davazdah-Emami, Hamid, Roshandel, Emad, Nikkho, Mohammad |
| المصدر: | Current Signal Transduction Therapy ; volume 15, issue 3, page 284-293 ; ISSN 1574-3624 |
| بيانات النشر: | Bentham Science Publishers Ltd. |
| سنة النشر: | 2021 |
| الوصف: | Background: Environmental health has become a worldwide debating issue among researchers, scientists, and governments. Although fossil fuels have been the greatest energy resources for the human, their consumption leads to injecting greenhouse gases into the air, which can affect the existence of all living species dramatically. In fact, fossil fuels consumption pollutes the environment because of the injection of greenhouse gases which result in global warming. On the other hand, reductions in fossil fuel and drinking water resources have highlighted the importance of energy management and loss reduction in brand-new management strategies and manufacturing methods. Distribution transformers are one of the most used devices in power distribution networks. Hence, it seems to be logical to consider transformer losses as a definitive factor in design and construction procedures. Furthermore, such design procedures require powerful tools to solve complex non-linear equations and find the best solutions in the shortest time. Researchers and scientists have always had a great challenge regarding finding the best solutions for their analysis. In actuality, it is hard to solve complex non-linear problems by means of traditional calculation methods even if a researcher employs a powerful computer. For this reason, metaheuristic optimization algorithms have found great popularity among scientists. These algorithms seek the best solution through a solution pool at an appropriate pace. Therefore, a researcher can save more time and energy in solving an intricate problem. Objective: In this paper, the authors aim to modify the conventional Teaching-Learning Based Optimization (TLBO) algorithm to design an optimum distribution transformer by consideration of the transformer Total Owning Cost (TOC). The TOC consists of operational and initial manufacturing costs of a distribution transformer. The used raw materials affect the manufacturing cost and it would be decreased if the copper and iron volumes are reduced in the ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.2174/1574362414666190417143157 |
| الاتاحة: | http://dx.doi.org/10.2174/1574362414666190417143157 https://eurekaselect.com/article/download/171696 https://www.eurekaselect.com/171696/article |
| Rights: | https://creativecommons.org/licenses/by/4.0/legalcode |
| رقم الانضمام: | edsbas.9CD31723 |
| قاعدة البيانات: | BASE |
| DOI: | 10.2174/1574362414666190417143157 |
|---|