The Importance of High Temporal Resolution in Modeling Renewable Energy Penetration Scenarios
Abstract
Traditionally, modeling investment and dispatch problems in electricity economics has been limited by computation power. Due to this limitation, simplifications are applied. One common practice, for example, is to reduce the temporal resolution of the dispatch by clustering similar load levels. The increase of intermittent electricity from renewable energy sources (RES-E) changes the validity of this assumption. RES-E already cover a certain amount of the total demand. This leaves an increasingly volatile residual demand to be matched by the conventional power market. This paper quantifies differences in investment decisions by applying three different time-resolution residual load patterns in an investment and dispatch power system model. The model optimizes investment decisions in five year steps between today and 2030 with residual load levels for 8760, 288 and 16 time slices per year. The market under consideration is the four zone ERCOT market in Texas. The results show that investment decisions significantly differ across the three scenarios. In particular, investments into base-load technologies are substantially reduced in the high resolution scenario (8760 residual load levels) relative to the scenarios with lower temporal resolution. Additionally, the amount of RES-E curtailment and the market value of RES-E exhibit noteworthy differences.
- Authors:
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- Environmental Energy Technologies Division
- OSTI Identifier:
- 1004404
- Report Number(s):
- LBNL-4197E
TRN: US201104%%1071
- DOE Contract Number:
- DE-AC02-05CH11231
- Resource Type:
- Conference
- Resource Relation:
- Conference: 9th Conference on Applied Infrastructure Research, TU Berlin, Berlin, Germany, October 8-9, 2010
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 29 ENERGY PLANNING, POLICY, AND ECONOMY; 20 FOSSIL-FUELED POWER PLANTS; 17 WIND ENERGY; 97 MATHEMATICS AND COMPUTING; ECONOMICS; ELECTRICITY; MARKET; POWER SYSTEMS; RENEWABLE ENERGY SOURCES; RESOLUTION; SIMULATION; TIME RESOLUTION; Wind power integration, temporal-resolution, electricity market, benders decomposition
Citation Formats
Nicolosi, Marco, Mills, Andrew D, and Wiser, Ryan H. The Importance of High Temporal Resolution in Modeling Renewable Energy Penetration Scenarios. United States: N. p., 2010.
Web.
Nicolosi, Marco, Mills, Andrew D, & Wiser, Ryan H. The Importance of High Temporal Resolution in Modeling Renewable Energy Penetration Scenarios. United States.
Nicolosi, Marco, Mills, Andrew D, and Wiser, Ryan H. 2010.
"The Importance of High Temporal Resolution in Modeling Renewable Energy Penetration Scenarios". United States. https://www.osti.gov/servlets/purl/1004404.
@article{osti_1004404,
title = {The Importance of High Temporal Resolution in Modeling Renewable Energy Penetration Scenarios},
author = {Nicolosi, Marco and Mills, Andrew D and Wiser, Ryan H},
abstractNote = {Traditionally, modeling investment and dispatch problems in electricity economics has been limited by computation power. Due to this limitation, simplifications are applied. One common practice, for example, is to reduce the temporal resolution of the dispatch by clustering similar load levels. The increase of intermittent electricity from renewable energy sources (RES-E) changes the validity of this assumption. RES-E already cover a certain amount of the total demand. This leaves an increasingly volatile residual demand to be matched by the conventional power market. This paper quantifies differences in investment decisions by applying three different time-resolution residual load patterns in an investment and dispatch power system model. The model optimizes investment decisions in five year steps between today and 2030 with residual load levels for 8760, 288 and 16 time slices per year. The market under consideration is the four zone ERCOT market in Texas. The results show that investment decisions significantly differ across the three scenarios. In particular, investments into base-load technologies are substantially reduced in the high resolution scenario (8760 residual load levels) relative to the scenarios with lower temporal resolution. Additionally, the amount of RES-E curtailment and the market value of RES-E exhibit noteworthy differences.},
doi = {},
url = {https://www.osti.gov/biblio/1004404},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Oct 08 00:00:00 EDT 2010},
month = {Fri Oct 08 00:00:00 EDT 2010}
}