Power-to-gas management using robust optimisation in integrated energy systems

Chenghong Gu, Can Tang, Yue Xiang, Da Xie

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A large volume of wind power is curtailed worldwide due to the intermittency and limited transportation capacity of electrical power systems. New technologies, Power-to-Gas via electrolysis, can convert excessive wind power into hydrogen to be transported by natural gas systems. However, the injection of H2 into natural gas pipelines can cause gas quality issues due to changing gas compositions. This paper investigates the impact of injecting H2 converted from wind power on natural gas quality. Two key indexes used to measure gas quality, Wobbe Index and Combustion Potential, are introduced to examine the impact. Then, in order to bring the two indexes into acceptable statutory ranges, H2 is mixed with Liquid Petroleum Gas and Nitrogen. A robust optimization model, considering wind power uncertainties, is thereafter developed to manage the gas mixture, maximize H2 injection. This paper uses the dynamic gas system model to represent real-time pipeline flows, which can better reflect gas flow features over time. The proposed method is demonstrated on a small integrated gas-electricity system. Results illustrate that excessive H2 injection will reduce Wobbe Index but increase Combustion Potential. The robust optimization approach can effectively manage the mixture while ensuring gas quality with an uncertain wind power supply. The proposed method is beneficial to reducing renewable energy curtailment and maximizing H2 injection, benefiting electricity system operators with low operation costs and wind power more penetration.

Original languageEnglish
Pages (from-to)681-689
Number of pages9
JournalApplied Energy
Volume236
Early online date12 Dec 2018
DOIs
Publication statusPublished - 15 Feb 2019

Keywords

  • Combustion Potential
  • Hydrogen (H)
  • Integrated-energy system
  • Robust optimisation
  • Wind power
  • Wobbe Index

ASJC Scopus subject areas

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

Cite this

Power-to-gas management using robust optimisation in integrated energy systems. / Gu, Chenghong; Tang, Can; Xiang, Yue; Xie, Da.

In: Applied Energy, Vol. 236, 15.02.2019, p. 681-689.

Research output: Contribution to journalArticle

@article{23d5ba0c0da345dcbf5dc1da1d4c1b30,
title = "Power-to-gas management using robust optimisation in integrated energy systems",
abstract = "A large volume of wind power is curtailed worldwide due to the intermittency and limited transportation capacity of electrical power systems. New technologies, Power-to-Gas via electrolysis, can convert excessive wind power into hydrogen to be transported by natural gas systems. However, the injection of H2 into natural gas pipelines can cause gas quality issues due to changing gas compositions. This paper investigates the impact of injecting H2 converted from wind power on natural gas quality. Two key indexes used to measure gas quality, Wobbe Index and Combustion Potential, are introduced to examine the impact. Then, in order to bring the two indexes into acceptable statutory ranges, H2 is mixed with Liquid Petroleum Gas and Nitrogen. A robust optimization model, considering wind power uncertainties, is thereafter developed to manage the gas mixture, maximize H2 injection. This paper uses the dynamic gas system model to represent real-time pipeline flows, which can better reflect gas flow features over time. The proposed method is demonstrated on a small integrated gas-electricity system. Results illustrate that excessive H2 injection will reduce Wobbe Index but increase Combustion Potential. The robust optimization approach can effectively manage the mixture while ensuring gas quality with an uncertain wind power supply. The proposed method is beneficial to reducing renewable energy curtailment and maximizing H2 injection, benefiting electricity system operators with low operation costs and wind power more penetration.",
keywords = "Combustion Potential, Hydrogen (H), Integrated-energy system, Robust optimisation, Wind power, Wobbe Index",
author = "Chenghong Gu and Can Tang and Yue Xiang and Da Xie",
year = "2019",
month = "2",
day = "15",
doi = "10.1016/j.apenergy.2018.12.028",
language = "English",
volume = "236",
pages = "681--689",
journal = "Applied Energy",
issn = "0306-2619",
publisher = "Elsevier",

}

TY - JOUR

T1 - Power-to-gas management using robust optimisation in integrated energy systems

AU - Gu, Chenghong

AU - Tang, Can

AU - Xiang, Yue

AU - Xie, Da

PY - 2019/2/15

Y1 - 2019/2/15

N2 - A large volume of wind power is curtailed worldwide due to the intermittency and limited transportation capacity of electrical power systems. New technologies, Power-to-Gas via electrolysis, can convert excessive wind power into hydrogen to be transported by natural gas systems. However, the injection of H2 into natural gas pipelines can cause gas quality issues due to changing gas compositions. This paper investigates the impact of injecting H2 converted from wind power on natural gas quality. Two key indexes used to measure gas quality, Wobbe Index and Combustion Potential, are introduced to examine the impact. Then, in order to bring the two indexes into acceptable statutory ranges, H2 is mixed with Liquid Petroleum Gas and Nitrogen. A robust optimization model, considering wind power uncertainties, is thereafter developed to manage the gas mixture, maximize H2 injection. This paper uses the dynamic gas system model to represent real-time pipeline flows, which can better reflect gas flow features over time. The proposed method is demonstrated on a small integrated gas-electricity system. Results illustrate that excessive H2 injection will reduce Wobbe Index but increase Combustion Potential. The robust optimization approach can effectively manage the mixture while ensuring gas quality with an uncertain wind power supply. The proposed method is beneficial to reducing renewable energy curtailment and maximizing H2 injection, benefiting electricity system operators with low operation costs and wind power more penetration.

AB - A large volume of wind power is curtailed worldwide due to the intermittency and limited transportation capacity of electrical power systems. New technologies, Power-to-Gas via electrolysis, can convert excessive wind power into hydrogen to be transported by natural gas systems. However, the injection of H2 into natural gas pipelines can cause gas quality issues due to changing gas compositions. This paper investigates the impact of injecting H2 converted from wind power on natural gas quality. Two key indexes used to measure gas quality, Wobbe Index and Combustion Potential, are introduced to examine the impact. Then, in order to bring the two indexes into acceptable statutory ranges, H2 is mixed with Liquid Petroleum Gas and Nitrogen. A robust optimization model, considering wind power uncertainties, is thereafter developed to manage the gas mixture, maximize H2 injection. This paper uses the dynamic gas system model to represent real-time pipeline flows, which can better reflect gas flow features over time. The proposed method is demonstrated on a small integrated gas-electricity system. Results illustrate that excessive H2 injection will reduce Wobbe Index but increase Combustion Potential. The robust optimization approach can effectively manage the mixture while ensuring gas quality with an uncertain wind power supply. The proposed method is beneficial to reducing renewable energy curtailment and maximizing H2 injection, benefiting electricity system operators with low operation costs and wind power more penetration.

KW - Combustion Potential

KW - Hydrogen (H)

KW - Integrated-energy system

KW - Robust optimisation

KW - Wind power

KW - Wobbe Index

UR - http://www.scopus.com/inward/record.url?scp=85058190606&partnerID=8YFLogxK

U2 - 10.1016/j.apenergy.2018.12.028

DO - 10.1016/j.apenergy.2018.12.028

M3 - Article

VL - 236

SP - 681

EP - 689

JO - Applied Energy

JF - Applied Energy

SN - 0306-2619

ER -