|Reference Category||Conference contributions|
|DOI / URL||link|
|Title (Primary)||The spatial allocation of renewable power infrastructure - An economic assessment of energy landscapes with an agent-based modelling approach|
|Title (Secondary)||CSSSA 2015 in Santa Fe, October 29 – November 1|
|Author||Lauf, T.; Gawel, E.; Frank, K.;|
|POF III (all)||T16;|
|Keywords||Agent-based modelling; Renewable energy sources; Externalities|
|Abstract||The question how a least-cost spatial allocation of sustainable electricity infrastructure may look like using different decision-making procedures (markets, different kinds of land-use and grid regulations) has not yet been analyzed explicitly. We measure the sustainability of emerging energy landscapes providing power from renewable energy sources (RES) by an overall welfare function also comprising all kinds of space-related disutility, i.e. spatial externalities - be they site-specific or related to the distance to a consumer center. The presented agent-based model (ABM) concept aims at assessing different policy scenarios to govern the land-use for energetic purposes under the constraint of ensuring the electricity supply for a virtual landscape with RES. To derive “optimal” spatial allocation an agent-based modeling approach which includes a virtual landscape, three demand centers and profit-oriented producers of renewable power is implemented. For the design of the electricity grid and the calculation of grid-related reinforcement costs a load-flow model is applied being able to map also grid externalities during the RES expansion in space.
The model allows RES producers to choose profit-maximizing cells for plant installation until the given demand for power of the virtual landscape is met. Different policy scenarios allocate particular costs to agents (e. g. grid reinforcement costs, spatial externalities) or restrict the land-use with respect to ecological or social restraints. The overall efficiency of allocation (total cost level) as well as the distributional fairness (regional net costs) can be evaluated for the policy scenarios. In a first application we analyzed the effect of land-use restrictions polices regarding the installation of wind power plants.
|Persistent UFZ Identifier||https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=16826|
|Lauf, T., Gawel, E., Frank, K. (2015):
The spatial allocation of renewable power infrastructure - An economic assessment of energy landscapes with an agent-based modelling approach
CSSSA 2015 in Santa Fe, October 29 – November 1
The Computational Social Science Society of the Americas (CSSSA), p. 1 - 18