Optimal Expansion Planning of Energy Hub with Multiple Energy Infrastructures
[Introduction] This paper presents an optimal expansion planning model for an energy hub with multiple energy systems. [Method] Energy hub represented a coupling among various energy infrastructures for supplying electricity, natural gas and heating loads. Combined heat and power (CHP) and natural g...
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Energy Observer Magazine Co., Ltd.
2019-12-01
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doaj-b755f2d8d65a4069b9a83504de5be1932021-08-24T03:23:47ZengEnergy Observer Magazine Co., Ltd.南方能源建设2095-86762019-12-016461210.16516/j.gedi.issn2095-8676.2019.04.002Optimal Expansion Planning of Energy Hub with Multiple Energy InfrastructuresZHANG Xiaping0California Independent System Operator, Folsom, California 95630, U.S.A.[Introduction] This paper presents an optimal expansion planning model for an energy hub with multiple energy systems. [Method] Energy hub represented a coupling among various energy infrastructures for supplying electricity, natural gas and heating loads. Combined heat and power (CHP) and natural gas furnaces were considered within the energy hub to convert energy into other forms. The multiple energy system planning problem would optimally determine appropriate investment candidates for generating units, transmission lines, natural gas furnaces, and CHPs that satisfy electricity and heating load forecasts and hub system constraints. [Result] The system performances associated with reliability, energy efficiency, and emission matrices is evaluated for the identified planning schedules. [Conclusion] Numerical simulations demonstrate the effectiveness of the proposed multiple energy system expansion planning approach based on energy hub.https://www.energychina.press/en/article/doi/10.16516/j.gedi.issn2095-8676.2019.04.002energy hubmultiple energy systemexpansion planning |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
ZHANG Xiaping |
spellingShingle |
ZHANG Xiaping Optimal Expansion Planning of Energy Hub with Multiple Energy Infrastructures 南方能源建设 energy hub multiple energy system expansion planning |
author_facet |
ZHANG Xiaping |
author_sort |
ZHANG Xiaping |
title |
Optimal Expansion Planning of Energy Hub with Multiple Energy Infrastructures |
title_short |
Optimal Expansion Planning of Energy Hub with Multiple Energy Infrastructures |
title_full |
Optimal Expansion Planning of Energy Hub with Multiple Energy Infrastructures |
title_fullStr |
Optimal Expansion Planning of Energy Hub with Multiple Energy Infrastructures |
title_full_unstemmed |
Optimal Expansion Planning of Energy Hub with Multiple Energy Infrastructures |
title_sort |
optimal expansion planning of energy hub with multiple energy infrastructures |
publisher |
Energy Observer Magazine Co., Ltd. |
series |
南方能源建设 |
issn |
2095-8676 |
publishDate |
2019-12-01 |
description |
[Introduction] This paper presents an optimal expansion planning model for an energy hub with multiple energy systems. [Method] Energy hub represented a coupling among various energy infrastructures for supplying electricity, natural gas and heating loads. Combined heat and power (CHP) and natural gas furnaces were considered within the energy hub to convert energy into other forms. The multiple energy system planning problem would optimally determine appropriate investment candidates for generating units, transmission lines, natural gas furnaces, and CHPs that satisfy electricity and heating load forecasts and hub system constraints. [Result] The system performances associated with reliability, energy efficiency, and emission matrices is evaluated for the identified planning schedules. [Conclusion] Numerical simulations demonstrate the effectiveness of the proposed multiple energy system expansion planning approach based on energy hub. |
topic |
energy hub multiple energy system expansion planning |
url |
https://www.energychina.press/en/article/doi/10.16516/j.gedi.issn2095-8676.2019.04.002 |
work_keys_str_mv |
AT zhangxiaping optimalexpansionplanningofenergyhubwithmultipleenergyinfrastructures |
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1721198090092806144 |