May 17, 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
Potential evaluation of power-to-hydrogen-to methane conversion technology in robust optimal energy management of a multi-energy industrial park
Type Article
Keywords
Multi-energy industrial park Power-to-gas storage Cogeneration unit Robust optimization Power-to-heat technology Demand response program
Researchers Qun Guo، Sayyad Nojavan، Shi Shi Lei، Xiaodan Liang

Abstract

Multi-energy industrial parks are required to render a huge variety of services in an eco-friendly, secure, reliable, and affordable way. The industrial energy park is a separate area consisting of multiple distributed generations, energy storage systems, etc., which supply local gas, heating, and electrical consumers. Meanwhile, the integration of power-to-X technologies such as power-to-gas and power-to-heat, which convert the electricity into other forms of energies while facilitating the integration of renewable energy in the industrial park, can enhance the flexibility and efficiency of energy supply. Therefore, this paper proposes novel robust energy management of multi-energy industrial parks integrated with wind power resources, cogeneration units, power-to-X technologies, and demand response programs to total operation cost minimization. The industrial park can simultaneously participate in a multi-energy market, including power, thermal, and gas markets, to meet local heating, gas, and electrical load. The robust optimization framework is extended to address the power price uncertainty and manage the conservatism level of the operator against price variability. The proposed model is examined on the industrial park test system, and numerical results will be presented for the different cases. Under the robust energy management, the total operation cost of the multi-energy industrial park reduces up to 53 %.