AHP-TOPSIS hybrid decision-making analysis: Simav integrated system case study

In this study, Simav Integrated Geothermal Energy System (Simav-IGES) was evaluated by using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) which is one of the multi-criteria decision-making techniques. In the decision-making process, the importance scale of the analytic hierarchy process (AHP) was used to determine the masses of TOPSIS to obtain more sensitive results. In this way, a new model was developed combining AHP and TOPSIS. The used data were obtained from the analytical calculations of Simav-IGES. IGES was formed of the electricity generation, district heating of residences, district heating of greenhouses, and spas. For this purpose, the electricity generation amount (ORC), the number of heated residences (RH), and the heated area of greenhouses were determined through energy, exergy, and economical methods. The present status of spas was taken into account for the balneology use. As a conclusion, it is determined that the best design is Design 16 for the all basis included solution in Simav-IGES. Design 16 is the one which includes the highest residential heating number with 16,311 and the lowest power generation with 41,153 kWh. In this case, the situation of greenhouse heating has a medium value of 631,449 m(2). So, it is the optimum application to install the integrated system taking into lower outlet temperatures (313.15 K) of power plant (ORC).

Automated summary

This study evaluated the Simav Integrated Geothermal Energy System using TOPSIS and a new model combining AHP. It determined the best design, analyzed aspects such as energy, electricity generation, and economy, and concluded that installing the integrated system at lower outlet temperatures is the optimal application.