Abstract
Optimal techniques are actually unused during the design phase of a compressor room. In this article, a novel application of the mixed-integer linear programming (MILP) technique is proposed as a tool for sizing and choosing the best configuration of an air compressor room, aiming at improving its energy efficiency. Two optimization problems are presented to cover different case studies. These formulations provide the optimal size, type, and number of compressors along with a room controller. The presented formulations are tested using both the simulated and real case studies. As a result of such a new approach, interesting energy savings are obtained when compared to the way the choices are usually performed. Very often, heuristic methodologies drive the design and the management of such facilities.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
