Optimisation of HVAC control and manufacturing schedules for the reduction of peak energy demand in the manufacturing sector

Victoria Jayne Mawson and Ben Richard Hughes

Energy, 2021, vol. 227, issue C

Abstract: Manufacturing companies are subjected to peak-load-dependent energy prices/tariffs, and are faced with high costs for the peak consumption utilised. Complex interactions between HVAC control management, manufacturing schedules, required facility conditions and thermal energy flows in and around the building are difficult to analyse, thus little knowledge exists regarding the interactions between machine, building and HVAC level thermal energy flows. This study utilised simulation for the analysis of thermal energy flows in and around a manufacturing facility, with machine learning adopted for the prediction of spikes in energy consumption based upon weather conditions, occupancy and manufacturing schedules, thus identifying potential energy inefficiencies.

Keywords: Energy modelling; Manufacturing energy analysis; Energy prediction; HVAC; Building energy analysis; Random forest; Peak shaving (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:227:y:2021:i:c:s036054422100685x

DOI: 10.1016/j.energy.2021.120436

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