Optimal designing of a CCHP source system using balanced Sunflower optimization algorithm

ABSTRACT

Combined cooling, heating, and power source (CCHP) is a hybrid system that converts the recycled heat for power generation, and air conditioning. They also use a compression or absorption chiller along with other equipment. In this study, a new arrangement of CCHP energy flow with proton exchange membrane fuel cell (PEMFC) as the primary mover has been proposed for decreasing the power demand in a residential building in Tehran, Iran. The building floor area is 6400 m² and the ceiling average height is 4.2 m. Here, a newly developed model of the Sunflower Optimization (BSFO) Algorithm is introduced for improving the system efficiency toward the systems with separate generation systems. Before the simulation, the accuracy of the modeled PEMFC has been validated and then the ability of the configuration is analyzed by considering different electric cooling to cool load ratio. The optimal capacity value for the electric cooling to cool load and the power generating unit is achieved $0.68$and $710$, respectively, which are obtained by the electric and the absorption chillers from the recovery system or the boiler. The total results show that using the proposed configuration reduces the $C{O}_2$ emission and gives better energy saving.

KEYWORDS:

• Combined cooling
• heating
• power source
• CO₂ mission ratio
• annual total cost saving
• proton exchange membrane fuel cell
• balanced Sunflower Optimization (BSFO) Algorithm
• improved

Nomenclature

Table

Acknowledgments

Natural Science Foundation of Jiangsu Higher Education Institutions of China under Grant No. 18KJD510004, Research on Video Efficient Transmission Technology Based on Foreground and Background Separation and Simultaneous Transmission of Information and Energy.

Additional information

Notes on contributors

Yan Wang

Yan Wang was born in Anhui Province, China, in 1984. She received her M.S. degree in system engineering from Nanjing University of Science and Technology in Nanjing City, Jiangsu Province, China, in 2008. She is currently a teacher at the School of Zijin College of Nanjing University of Science and Technology. Her re-search interest is mainly in the area of image processing and control theory. She has published several research papers in scholarly journals in the above research areas.

Ang Li

Ang Li was born in Anhui Province, China, in 1986. He received his M.S. degree in communication and information system from Guilin University of Electronic Technology in Guilin City, Guangxi Province, China, in 2011. He is currently a Ph.d candidate in Nanjing University of Post and Telecommunication. And he is currently a teacher at the School of Zijin College of Nanjing University of Science and Technology. His research interest is mainly in the area of image processing and technology of internet of things. He has published several research papers in scholarly journals in the above research areas.

Hossein Khodaei

Hossein Khodaei was born in Iran. He received his Bachelor degree in Electrical Engineering from Azad University. His research interests include Power Markets, Prediction, renewable energy, and Power System Protection. He is the author and co-author of more than 7 journal and international conference papers.