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Title: Social energy: mining energy from the society

Abstract

The inherent nature of energy, i.e., physicality, sociality and informatization, implies the inevitable and intensive interaction between energy systems and social systems. From this perspective, we define 'social energy' as a complex sociotechnical system of energy systems, social systems and the derived artificial virtual systems which characterize the intense intersystem and intra-system interactions. The recent advancement in intelligent technology, including artificial intelligence and machine learning technologies, sensing and communication in Internet of Things technologies, and massive high performance computing and extreme-scale data analytics technologies, enables the possibility of substantial advancement in socio-technical system optimization, scheduling, control and management. In this paper, we provide a discussion on the nature of energy, and then propose the concept and intention of social energy systems for electrical power. A general methodology of establishing and investigating social energy is proposed, which is based on the ACP approach, i.e., 'artificial systems' (A), 'computational experiments' (C) and 'parallel execution' (P), and parallel system methodology. A case study on the University of Denver (DU) campus grid is provided and studied to demonstrate the social energy concept. In the concluding remarks, we discuss the technical pathway, in both social and nature sciences, to social energy, and our vision onmore » its future.« less

Authors:
; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1399852
Report Number(s):
NREL/JA-5D00-70302
Journal ID: ISSN 2329-9266
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
IEEE/CAA Journal of Automatica Sinica
Additional Journal Information:
Journal Volume: 4; Journal Issue: 3; Journal ID: ISSN 2329-9266
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; 29 ENERGY PLANNING, POLICY, AND ECONOMY; ACP; distribution locational marginal pricing; intelligent operation in power systems; parallel control; parallel intelligence; parallel management; social energy; socio-technical energy systems

Citation Formats

Zhang, Jun Jason, Gao, David Wenzhong, Zhang, Yingchen, Wang, Xiao, Zhao, Xiangyang, Duan, Dongliang, Dai, Xiaoxiao, Hao, Jun, and Wang, Fei-Yue. Social energy: mining energy from the society. United States: N. p., 2017. Web. doi:10.1109/JAS.2017.7510547.
Zhang, Jun Jason, Gao, David Wenzhong, Zhang, Yingchen, Wang, Xiao, Zhao, Xiangyang, Duan, Dongliang, Dai, Xiaoxiao, Hao, Jun, & Wang, Fei-Yue. Social energy: mining energy from the society. United States. doi:10.1109/JAS.2017.7510547.
Zhang, Jun Jason, Gao, David Wenzhong, Zhang, Yingchen, Wang, Xiao, Zhao, Xiangyang, Duan, Dongliang, Dai, Xiaoxiao, Hao, Jun, and Wang, Fei-Yue. Sun . "Social energy: mining energy from the society". United States. doi:10.1109/JAS.2017.7510547.
@article{osti_1399852,
title = {Social energy: mining energy from the society},
author = {Zhang, Jun Jason and Gao, David Wenzhong and Zhang, Yingchen and Wang, Xiao and Zhao, Xiangyang and Duan, Dongliang and Dai, Xiaoxiao and Hao, Jun and Wang, Fei-Yue},
abstractNote = {The inherent nature of energy, i.e., physicality, sociality and informatization, implies the inevitable and intensive interaction between energy systems and social systems. From this perspective, we define 'social energy' as a complex sociotechnical system of energy systems, social systems and the derived artificial virtual systems which characterize the intense intersystem and intra-system interactions. The recent advancement in intelligent technology, including artificial intelligence and machine learning technologies, sensing and communication in Internet of Things technologies, and massive high performance computing and extreme-scale data analytics technologies, enables the possibility of substantial advancement in socio-technical system optimization, scheduling, control and management. In this paper, we provide a discussion on the nature of energy, and then propose the concept and intention of social energy systems for electrical power. A general methodology of establishing and investigating social energy is proposed, which is based on the ACP approach, i.e., 'artificial systems' (A), 'computational experiments' (C) and 'parallel execution' (P), and parallel system methodology. A case study on the University of Denver (DU) campus grid is provided and studied to demonstrate the social energy concept. In the concluding remarks, we discuss the technical pathway, in both social and nature sciences, to social energy, and our vision on its future.},
doi = {10.1109/JAS.2017.7510547},
journal = {IEEE/CAA Journal of Automatica Sinica},
issn = {2329-9266},
number = 3,
volume = 4,
place = {United States},
year = {2017},
month = {1}
}