Open AccessLoad forecasting method for park integrated energy system considering process industrial production process
Author(s) -
Yibin Feng,
Chouwei Ni,
MA Yuhan,
Haojia Wang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/781/4/042002
Subject(s) - process (computing) , production (economics) , factory (object oriented programming) , industrial park , battery (electricity) , energy (signal processing) , computer science , electricity , industrial engineering , reliability engineering , process engineering , engineering , power (physics) , statistics , physics , mathematics , electrical engineering , quantum mechanics , political science , law , economics , macroeconomics , programming language , operating system
Aiming at the problem that the current integrated energy load forecasting method does not consider the actual production process and the coupling characteristics between multiple energy carriers, this paper proposes a load forecasting method for park integrated energy system considering process industrial production process. Firstly, taking the battery factory as an example, the production process of typical battery factories is detailed. Secondly, the composition of electricity, heat and cooling load in the battery factory is analyzed respectively, and the corresponding load forecasting model is established. Finally, the applicability and accuracy of the forecasting method proposed in this paper in different situations are analyzed by actual cases. The load forecasting method proposed in this paper fully considers the production process of typical process industry, which can provide an accurate load forecasting basis for energy management and planning of related industries.