Design and selection of optimal combination of energy system for remote loads using Fuzzy multi-criteria decision making

نوع: Type: thesis

مقطع: Segment: masters

عنوان: Title: Design and selection of optimal combination of energy system for remote loads using Fuzzy multi-criteria decision making

ارائه دهنده: Provider: Hamidreza Bagheri

اساتید راهنما: Supervisors: Dr.Saleh Razini

اساتید مشاور: Advisory Professors: مهندس محمد کوهی دستگردی

اساتید ممتحن یا داور: Examining professors or referees: Dr Alireza Hatami & Dr Mohsen hasan babaei nozadian

زمان و تاریخ ارائه: Time and date of presentation: 2025

مکان ارائه: Place of presentation: 34

چکیده: Abstract: Nowadays, with population growth, industrial expansion, and societal development, electrification of different regions is regarded as a vital and essential matter for both governments and communities. In some cases, however, electrification of certain areas may not be economically feasible due to reasons such as considerable distance from the national grid, low population density, or the impassability of transmission routes. Therefore, the design of standalone hybrid energy systems can serve as an alternative solution to grid expansion and electricity transmission to remote areas. Typically, designers and engineers, prior to implementing energy-related plans and projects, consider various approaches to design different scenarios, and based on the general policies usually defined by governments or organizations, they select the optimal scenario for implementation. In this research, four different scenarios have been designed, using the commercial software HOMER, in two separate case studies: first, for supplying only the electrical load, and second, for supplying both thermal and electrical loads of Chelgerd city in Chaharmahal and Bakhtiari province. These scenarios were developed with regard to different economic, environmental, social, and system reliability approaches. For selecting the optimal scenario in each case study, several criteria and sub-criteria must be considered. In this research, four main criteria—economic, environmental, social, and reliability—have been taken into account, each with their own sub-criteria of varying degrees of importance. As such, selecting the optimal scenario in the presence of multiple criteria and sub-criteria is a challenging task. Accordingly, the application of multi-criteria decision-making (MCDM) is suggested. Moreover, when expressing the relative importance of the criteria and subcriteria through pairwise comparisons, some degree of vagueness and uncertainty may exist. In other words, it may be more appropriate to express their relative importance linguistically, or in a so-called fuzzy manner. Therefore, by integrating fuzzy logic with multi-criteria decision-making, the fuzzy multi-criteria decision-making (Fuzzy MCDM) approach is proposed. As mentioned earlier, determining a general policy is necessary for the selection of the optimal scenario. This task can be entrusted to a group of experts and specialists in the energy sector. By designing a questionnaire and distributing it among them, their opinions can be aggregated, and using fuzzy multi-criteria decisionmaking methods (in this study, the Fuzzy Analytic Hierarchy Process—FAHP—has been applied), the weights of the criteria can be calculated, and the general policy for selecting the optimal scenario can be determined (the criterion with the highest weight is identified as the general policy of the study). After computing the weights of the criteria and defining the general policy, the weights of the sub-criteria as well as the pairwise performance of scenarios based on each sub-criterion are also calculated and examined. Finally, the score of each scenario is obtained, and based on these results, the