Framework for optimization of long-term, multi-period investment planning of integrated urban energy systems
Abstract
In order to achieve stringent greenhouse gas emission reductions, a transition of our entire energy system from fossil to renewable resources needs to be designed. Such an energy transition brings two main challenges: most renewables generate variable electric energy, yet most demand is currently not electric (carrier mismatch) and does not always manifest at the same time as supply (temporal mismatch). Integrating multiple energy infrastructures can address both challenges by using the synergy between different energy carriers; building on existing infrastructure, while allowing a robust and flexible integration of the new. This paper proposes an optimization framework for long-term, multi-period investment planning of urban energy systems in an integrated manner. We formulate it as a mixed-integer linear program, combining a capacitated facility location with a multi-dimensional, capacitated network design problem. It includes generation and network expansion planning as well as interconnections between networks and storage infrastructure for each energy system. It can incorporate pathway effects like techno-economic developments, policy measures, and weather variations. The intended use is to support urban decision makers with long-term investment planning, though it can be tailored to fit other geographical or temporal scales. We demonstrate the model using two cases based on an average citymore »
- Authors:
-
[1];
[2];
- Eindhoven Univ. of Technology (Netherlands); ORTEC, Zoetermeer (Netherlands)
- National Renewable Energy Lab. (NREL), Golden, CO (United States); Univ. of Colorado, Boulder, CO (United States)
- Eindhoven Univ. of Technology (Netherlands); Enexis Netbeheer, Hertogenbosch (Netherlands)
- 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:
- 1779808
- Report Number(s):
- NREL/JA-5C00-79845
Journal ID: ISSN 0306-2619; MainId:39063;UUID:715cb3d0-6381-4cc1-9884-04fede40a92f;MainAdminID:22326
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied Energy
- Additional Journal Information:
- Journal Volume: 292; Journal ID: ISSN 0306-2619
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; mixed-integer linear optimization; investment planning; integrated energy systems; climate policy; facility location network design
Citation Formats
van Beuzekom, Iris, Hodge, Bri-Mathias, and Slootweg, Han. Framework for optimization of long-term, multi-period investment planning of integrated urban energy systems. United States: N. p., 2021.
Web. doi:10.1016/j.apenergy.2021.116880.
van Beuzekom, Iris, Hodge, Bri-Mathias, & Slootweg, Han. Framework for optimization of long-term, multi-period investment planning of integrated urban energy systems. United States. https://doi.org/10.1016/j.apenergy.2021.116880
van Beuzekom, Iris, Hodge, Bri-Mathias, and Slootweg, Han. Thu .
"Framework for optimization of long-term, multi-period investment planning of integrated urban energy systems". United States. https://doi.org/10.1016/j.apenergy.2021.116880. https://www.osti.gov/servlets/purl/1779808.
@article{osti_1779808,
title = {Framework for optimization of long-term, multi-period investment planning of integrated urban energy systems},
author = {van Beuzekom, Iris and Hodge, Bri-Mathias and Slootweg, Han},
abstractNote = {In order to achieve stringent greenhouse gas emission reductions, a transition of our entire energy system from fossil to renewable resources needs to be designed. Such an energy transition brings two main challenges: most renewables generate variable electric energy, yet most demand is currently not electric (carrier mismatch) and does not always manifest at the same time as supply (temporal mismatch). Integrating multiple energy infrastructures can address both challenges by using the synergy between different energy carriers; building on existing infrastructure, while allowing a robust and flexible integration of the new. This paper proposes an optimization framework for long-term, multi-period investment planning of urban energy systems in an integrated manner. We formulate it as a mixed-integer linear program, combining a capacitated facility location with a multi-dimensional, capacitated network design problem. It includes generation and network expansion planning as well as interconnections between networks and storage infrastructure for each energy system. It can incorporate pathway effects like techno-economic developments, policy measures, and weather variations. The intended use is to support urban decision makers with long-term investment planning, though it can be tailored to fit other geographical or temporal scales. We demonstrate the model using two cases based on an average city in The Netherlands, which wants to reduce its CO2-emissions with 95% by 2050. In the first case, we include explicit carbon-emission constraints to study the effects of the carrier mismatch. In the second case, we implement interannual weather variations to analyze the temporal mismatch. The results give valuable insights into the energy transition design strategy for urban decision makers. They also show the future potential, as well as the computational challenges of the optimization framework.},
doi = {10.1016/j.apenergy.2021.116880},
journal = {Applied Energy},
number = ,
volume = 292,
place = {United States},
year = {Thu Apr 08 00:00:00 EDT 2021},
month = {Thu Apr 08 00:00:00 EDT 2021}
}
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