Shifting load through space–The economics of spatial demand side management using distributed data centers. (October 2017)
- Record Type:
- Journal Article
- Title:
- Shifting load through space–The economics of spatial demand side management using distributed data centers. (October 2017)
- Main Title:
- Shifting load through space–The economics of spatial demand side management using distributed data centers
- Authors:
- Fridgen, Gilbert
Keller, Robert
Thimmel, Markus
Wederhake, Lars - Abstract:
- Abstract: Demand-side flexibility (DSF) in the electricity grid has become an active research area in recent years. While temporal flexibility (e.g. load shedding, load shifting) is already discussed intensively in literature, spatial load migration still is an under-researched type of DSF. Spatial load migration allows us to instantly migrate power-consuming activities among different locations. Data centers (DCs) are power-intensive and process information goods. Since information goods are easily transferable through communication networks, power-intensive processing of information goods is not necessarily tied to a specific location. Consequently, geographically distributed DCs inherit—in theory—a considerable potential to globally migrate load. We analyze the economics of spatially migrating load to provide balancing power using geographically distributed DCs. We assure that neither of the participating electricity grids will be burdened by this mechanism. By using historical data to evaluate our model, we find reasonable economic incentives to migrate positive as well as negative balancing power. In addition, we find that current scenarios favor the migration of negative balancing power. Our research thus reveals realistic opportunities to virtually transfer balancing power between different market areas worldwide. Highlights: Case study discussion for load migration as a third type of demand side flexibility. Load migration setup allows balancing mechanism toAbstract: Demand-side flexibility (DSF) in the electricity grid has become an active research area in recent years. While temporal flexibility (e.g. load shedding, load shifting) is already discussed intensively in literature, spatial load migration still is an under-researched type of DSF. Spatial load migration allows us to instantly migrate power-consuming activities among different locations. Data centers (DCs) are power-intensive and process information goods. Since information goods are easily transferable through communication networks, power-intensive processing of information goods is not necessarily tied to a specific location. Consequently, geographically distributed DCs inherit—in theory—a considerable potential to globally migrate load. We analyze the economics of spatially migrating load to provide balancing power using geographically distributed DCs. We assure that neither of the participating electricity grids will be burdened by this mechanism. By using historical data to evaluate our model, we find reasonable economic incentives to migrate positive as well as negative balancing power. In addition, we find that current scenarios favor the migration of negative balancing power. Our research thus reveals realistic opportunities to virtually transfer balancing power between different market areas worldwide. Highlights: Case study discussion for load migration as a third type of demand side flexibility. Load migration setup allows balancing mechanism to participate in remote markets. Load migration is a first step towards the globalization of power markets. Economic potential of load migration with two large data centers reaches € 1.5 m. Ex post simulation illustrates the economic feasibility of spatial load migration. … (more)
- Is Part Of:
- Energy policy. Volume 109(2017)
- Journal:
- Energy policy
- Issue:
- Volume 109(2017)
- Issue Display:
- Volume 109, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 109
- Issue:
- 2017
- Issue Sort Value:
- 2017-0109-2017-0000
- Page Start:
- 400
- Page End:
- 413
- Publication Date:
- 2017-10
- Subjects:
- Load migration -- Economic potential -- Balancing power -- Simulation-based case study -- Demand response -- Demand-side management
Energy policy -- Periodicals
Politique énergétique -- Périodiques
Electronic journals
333.79 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03014215 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.enpol.2017.07.018 ↗
- Languages:
- English
- ISSNs:
- 0301-4215
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.720000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4634.xml