An innovative energy management framework for cooperative operation management of electricity and natural gas demands

Gholizadeh, Nastaran, Gharehpetian, Gevork B., Abedi, M., Nafisi, Hamed and Marzband, Mousa (2019) An innovative energy management framework for cooperative operation management of electricity and natural gas demands. Energy Conversion and Management, 200. ISSN 0196-8904

[img] Text
Gholizadeh et al - An innovative energy management framework for cooperative operation management of electricity and natural gas demands AAM.pdf - Accepted Version
Restricted to Repository staff only until 19 September 2020.
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (2MB)
Official URL: https://www.sciencedirect.com/science/article/pii/...

Abstract

Introduction of the power to gas and combined heat and power technologies, has led to remarkable interdependency between electrical and gas systems. By taking advantage of this interdependency, cleaner and more efficient energy management systems could be implemented. This paper attempts to establish an innovative energy management framework which takes advantage of this interdependency and devices like power to gas and combined heat and power to simultaneously smoothen electricity and natural gas demand profiles for a year ahead. The method outperforms this task using the electricity profile valleys to reduce peak natural gas consumption and using natural gas profile valleys to shave electricity consumption peak. In this way, the stress on both networks for supplying demand in peak periods is released. The proposed method is able to achieve demand smoothness and cost reduction objectives considering penalty factors for demand variance. For this purpose, multiple integrated energy hubs are used to simulate the energy consumption of an area. The designed mixed integer linear model is handled by General Algebraic Modeling Software and CPLEX solver. The results demonstrate that by applying the proposed method, the system is able to save 16.92% in the energy cost and decrease electricity and natural gas demand standard deviations by 8.34% and 66.64%, respectively.

Item Type: Article
Uncontrolled Keywords: Combined heat and power, Electricity and natural gas scheduling, Energy hubs, Load smoothing, Peak shaving, Power to gas technology
Subjects: H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Paul Burns
Date Deposited: 16 Sep 2019 15:14
Last Modified: 11 Oct 2019 13:17
URI: http://nrl.northumbria.ac.uk/id/eprint/40701

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence