May 16, 2024
Sayyad Nojavan

Sayyad Nojavan

Academic rank: Associate professor
Address:
Education: Ph.D in ٍElectrical Power Engineering
Phone: 09148903379
Faculty: Faculty of Engineering
Department: Electrical Engineering

Research

Title
Optimal operation of CCHP and renewable generation-based energy hub considering environmental perspective: An epsilon constraint and fuzzy methods
Type Article
Keywords
Energy hub system Combined coolingHeating and power (CCHP) Economic-emission model ε-constraint and fuzzy techniques Real-time based DRP
Researchers Yan Cao، Qiangfeng Wang، Jiang Du، Sayyad Nojavan، Kittisak Jermsittiparsert، Noradin Ghadimi

Abstract

In this paper, multi-energy hub system is analyzed in the presence of renewable energy sources. The provided multi-objective model is provided to reducing the carbon emission and operation cost. Also, real-time rates of demand response program (DRP) is used in this paper to improve the flexibility of system. The ε-constraint approach is used to solve the provided multi-objective model. Furthermore, fuzzy technique is used to select the trade-off result through the optimal obtained solutions The provided MIP-based hub system is solved utilizing the GAMS software in two cases with the aim of analyzing the effects of real-time based DRP. The obtained results demonstrate that the carbon emission and operation cost are decreased 1.81% and 4% in the presence of the real-time DRP, respectively.