TY - JOUR
T1 - Design and multi-criteria optimisation of a trigeneration district energy system based on gas turbine, Kalina, and ejector cycles
T2 - Exergoeconomic and exergoenvironmental evaluation
AU - Ebrahimi-Moghadam, Amir
AU - Farzaneh-Gord, Mahmood
AU - Jabari Moghadam, Ali
AU - Abu-Hamdeh, Nidal H.
AU - Lasemi, Mohammad Ali
AU - Arabkoohsar, Ahmad
AU - Alimoradi, Ashkan
N1 - Funding Information:
The Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, Saudi Arabia funded this project, under grant no. (FP-42-42).
Funding Information:
The Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, Saudi Arabia funded this project, under grant no. (FP-42-42).
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/1/1
Y1 - 2021/1/1
N2 - A novel trigeneration district energy system (TDES) is designed and evaluated from energy, exergy, exergoeconomic, and exergoenvironmental points-of-view. By recovering the wasted heat of a regenerative gas turbine cycle, a heat exchanger is utilized for heating applications, a Kalina cycle is run for generating some additional power, and an ejector refrigeration cycle is used for producing some cold. The problem is firstly modeled through developing a precise code in Engineering Equation Solver program and then optimal conditions are sought by coupling the outputs of modeling procedure with Artificial Neural Network, and Non-dominated Sorting Genetic Algorithm II approaches. Three new functions of integrated weighted efficiency, exergoeconomic criterion, and exergoenvironmental criterion are defined as the system's evaluation criteria. From a robust parametric study, it is demonstrated that the system's evaluation criteria have the highest and lowest sensitivity on the variation of pressure ratio of compressor and pinch-point temperature difference of heat exchanger 2, respectively. From the optimisation procedure, the optimum values of the system's primary energy ratio, exergetic efficiency, exergoeconomic criterion, and exergoenvironmental criterion are 76.9%, 30.8%, 58.4 $/GJ, and 42.7 kg/GJ, respectively. At these conditions, the capacity of the TDES is 1025.9 kW, 1642.3 kW, and 304.9 kW with the associated cost of production of 149.6 $/GJ, 7.8 $/GJ, and 60.1 $/GJ for power, heat, and cold, respectively.
AB - A novel trigeneration district energy system (TDES) is designed and evaluated from energy, exergy, exergoeconomic, and exergoenvironmental points-of-view. By recovering the wasted heat of a regenerative gas turbine cycle, a heat exchanger is utilized for heating applications, a Kalina cycle is run for generating some additional power, and an ejector refrigeration cycle is used for producing some cold. The problem is firstly modeled through developing a precise code in Engineering Equation Solver program and then optimal conditions are sought by coupling the outputs of modeling procedure with Artificial Neural Network, and Non-dominated Sorting Genetic Algorithm II approaches. Three new functions of integrated weighted efficiency, exergoeconomic criterion, and exergoenvironmental criterion are defined as the system's evaluation criteria. From a robust parametric study, it is demonstrated that the system's evaluation criteria have the highest and lowest sensitivity on the variation of pressure ratio of compressor and pinch-point temperature difference of heat exchanger 2, respectively. From the optimisation procedure, the optimum values of the system's primary energy ratio, exergetic efficiency, exergoeconomic criterion, and exergoenvironmental criterion are 76.9%, 30.8%, 58.4 $/GJ, and 42.7 kg/GJ, respectively. At these conditions, the capacity of the TDES is 1025.9 kW, 1642.3 kW, and 304.9 kW with the associated cost of production of 149.6 $/GJ, 7.8 $/GJ, and 60.1 $/GJ for power, heat, and cold, respectively.
KW - Artificial neural network
KW - Exergoeconomic analysis
KW - Exergoenvironmental analysis
KW - NSGA-II optimisation
KW - Trigeneration district energy system
UR - http://www.scopus.com/inward/record.url?scp=85095423760&partnerID=8YFLogxK
U2 - 10.1016/j.enconman.2020.113581
DO - 10.1016/j.enconman.2020.113581
M3 - Journal article
AN - SCOPUS:85095423760
SN - 0196-8904
VL - 227
JO - Energy Conversion and Management
JF - Energy Conversion and Management
M1 - 113581
ER -