New understanding on information’s role in the matching of supply and demand of distributed energy system

Hao Li, Shengyuan Zhong, Yongzhen Wang, Jun Zhao, Minxia Li, Fu Wang and Jiebei Zhu

Energy, 2020, vol. 206, issue C

Abstract: According to the entropy theory, the increase in the thermodynamic entropy of energy is reduced under the control of the information entropy. However, the quantitative analysis of this process remains difficult. In this study, energy properties are conferred upon information to enable an uncertain event to be measured. First, the entropy theory was adopted to describe the uncertainty of the energy in a distributed energy system. Further, a method was devised to optimize the configurations of the distributed energy system based on minimize total entropy generation. Finally, using the example of load forecasting, the impact of introducing information in the form of negative entropy on the ability of the system to improve the alignment between supply and demand is quantitatively elucidated. The negative entropy caused by information utilization increased from 356.14 to 638.68 kWh/K, with the load forecasting errors decreased from 30% to 10%. The information entropy was also applied to describe the uncertainty of the On-site energy fraction, by increasing the capacity of energy storage, the uncertainty decreased from 1.81 to 1.80 nat, while the load forecasting could decreased it to 1.71 nat, 1.54 nat, 1.29 nat with the load forecasting errors at 30%, 20% and 10%, respectively.

Keywords: Thermodynamic entropy; Information entropy; Uncertainty; Load forecasting; Distributed energy system (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544220311439
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:206:y:2020:i:c:s0360544220311439

DOI: 10.1016/j.energy.2020.118036

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().