 An optimal performance based new multi-objective model for heat and power hub in large scale usersYougang Sun, Junqi Xu, Guobin Lin, Fei Ni and Rolando Simoes Energy, 2018, vol. 161, issue C, 1234-1249 Abstract: In recent decades, importance of green source has been increased rapidly because of these resources reduce environmental pollution and have lower operating costs. Moreover, it is possible to utilize a multi-purpose energy center scheme to provide thermal and electrical energy by the large-scale users. In this paper, we proposed a new multi-objective model based on cost-emission, operation cost of large-scale user and efficiency of electrical storage system (ESS) and thermal storage system (TSS) by considering the peak load management. This problem is solved by compromise method based on fuzzy decision making model and new Pareto filter. The main model is explained as mixed-integer linear programing and is solved by using GAMS software and CPLEX solving method. Finally, the performance of the recommended method for solving the main model is extensively explained on the two case study and compared to validate the performance of main model. Keywords: Cost-emission; Hub system; ESS; Multi-objective model; Peak load management (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:161:y:2018:i:c:p:1234-1249 DOI: 10.1016/j.energy.2018.07.173 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.