Details
| Original language | English |
|---|---|
| Pages (from-to) | 994-1022 |
| Number of pages | 29 |
| Journal | J. Manag. Inf. Syst. |
| Volume | 34 |
| Issue number | 4 |
| Publication status | Published - 2 Oct 2017 |
Abstract
The system integration of intermittent renewable energies (RE) poses an important challenge in the transition toward sustainable energy systems. Their intermittency introduces variability into electricity generation, leading to high ancillary service costs and technical issues impairing grid stability and supply reliability. These issues can be mitigated through spatially diversified capacity deployment, as RE intermittency can be geographically smoothed over sufficiently large regions. Following a design science research approach, we develop a model for the quantification of location-based investment incentives in RE support mechanisms to foster spatially diversified capacity deployment. We evaluate the modeling approach in a simulation study with focus on diversifying wind energy deployment in Mexico under an idealized auction mechanism and demonstrate how location-based investment incentives reduce resource-dependent competition among projects. Our research contributes a nascent design theory that combines the kernel theories for identifying favorable spatial distributions of RE capacity with current policy designs to support capacity expansion management.
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Management Information Systems
- Computer Science(all)
- Computer Science Applications
- Decision Sciences(all)
- Management Science and Operations Research
- Decision Sciences(all)
- Information Systems and Management
Sustainable Development Goals
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In: J. Manag. Inf. Syst., Vol. 34, No. 4, 02.10.2017, p. 994-1022.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Promoting the System Integration of Renewable Energies - Toward a Decision Support System for Incentivizing Spatially Diversified Deployment.
AU - Piel, Jan-Hendrik
AU - Hamann, Julian F. H.
AU - Koukal, André
AU - Breitner, Michael H.
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions. Publisher Copyright: Copyright © Taylor & Francis Group, LLC. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/10/2
Y1 - 2017/10/2
N2 - The system integration of intermittent renewable energies (RE) poses an important challenge in the transition toward sustainable energy systems. Their intermittency introduces variability into electricity generation, leading to high ancillary service costs and technical issues impairing grid stability and supply reliability. These issues can be mitigated through spatially diversified capacity deployment, as RE intermittency can be geographically smoothed over sufficiently large regions. Following a design science research approach, we develop a model for the quantification of location-based investment incentives in RE support mechanisms to foster spatially diversified capacity deployment. We evaluate the modeling approach in a simulation study with focus on diversifying wind energy deployment in Mexico under an idealized auction mechanism and demonstrate how location-based investment incentives reduce resource-dependent competition among projects. Our research contributes a nascent design theory that combines the kernel theories for identifying favorable spatial distributions of RE capacity with current policy designs to support capacity expansion management.
AB - The system integration of intermittent renewable energies (RE) poses an important challenge in the transition toward sustainable energy systems. Their intermittency introduces variability into electricity generation, leading to high ancillary service costs and technical issues impairing grid stability and supply reliability. These issues can be mitigated through spatially diversified capacity deployment, as RE intermittency can be geographically smoothed over sufficiently large regions. Following a design science research approach, we develop a model for the quantification of location-based investment incentives in RE support mechanisms to foster spatially diversified capacity deployment. We evaluate the modeling approach in a simulation study with focus on diversifying wind energy deployment in Mexico under an idealized auction mechanism and demonstrate how location-based investment incentives reduce resource-dependent competition among projects. Our research contributes a nascent design theory that combines the kernel theories for identifying favorable spatial distributions of RE capacity with current policy designs to support capacity expansion management.
UR - http://www.scopus.com/inward/record.url?scp=85039903796&partnerID=8YFLogxK
U2 - 10.1080/07421222.2017.1394044
DO - 10.1080/07421222.2017.1394044
M3 - Article
VL - 34
SP - 994
EP - 1022
JO - J. Manag. Inf. Syst.
JF - J. Manag. Inf. Syst.
IS - 4
ER -