A thermodynamic, exergoeconomic, and exergoenvironmental investigation and optimization on a novel geothermal trigeneration system to sustain a sport arena

Abstract

In recent years, there has been a growing emphasis on sustainable energy provision for sport facilities, aiming to reduce carbon emissions, promote energy efficiency, and create a more sustainable sporting environment. The present investigation concurs with introducing a novel trigeneration system intended to generate power and provide heating and cooling load for sports facilities. The present system is offered to sustain the general energy requirement of an intended sport compound independently throughout the year. The single-flash Geothermal (SFG) system is included as a measure for attaining the required energy to initialize the system. After producing power and providing heat load, the remaining exergy associated with the SFG system is harvested and utilized to drive the double-effect absorption chiller (DEAC), Kalina cycle (KC), and the Organic Rankine cycle (ORC). A further study based on the first law of thermodynamics revealed that the SFG system, KC, and ORC allot thermal efficiency by 5.724 %, 9.31 %, and10.26 %, respectively. Furthermore, the second-law investigation determined that the SFG system, KC, and ORC allocate exergetic efficiency by 18.08 %, 34.89 %, and 48.64 %, respectively. From an extended numerical perspective, the SFG system was deemed to result in a total output value of 66.55 kW worth of power and 615.8 kW worth of heating load. The DEAC performed with an 88.8 kW worth of cooling load provision and 1.199 as the coefficient of performance (COP). The KC and the ORC delivered 26.14 kW and 14.61 kW as in total outlet power, respectively. Integrally, the generalized system was found capable of producing 107.3 kW worth of net power output. The sum unit cost of the products (SUCP) was evaluated for the overall system, which equals 45.55$/GJ. A multi-objective Genetic algorithm optimization is carried out, aiming to achieve the optimal points and conditions of the system using the Pareto frontier method, where point C was chosen according to the TOPSIS criteria, deriving 46.0$/GJ and 40.09 % associated with SUCP and exergetic efficiency, respectively. Eventually, the exergoenvironmental parameters are derived and analyzed to study the environmental impacts.