A cost optimization model for 100% renewable residential energy supply systems

Christian Milan, Carsten Bojesen and Mads Pagh Nielsen

Energy, 2012, vol. 48, issue 1, 118-127

Abstract: Throughout the last years the use of on-site renewable energy sources (RES) in residential houses has continuously increased in many industrial countries and it is expected that many of the supply systems will be based solely on renewable sources in the medium term future. However, the explicitly higher installation costs compared to conventional systems and the variability of the energy sources require an optimized design of the overall system. To achieve this, a new approach is needed which accounts for the interdependencies between the different supply technologies as well as consumption profiles of residents and on-site energy resource availability. This paper aims at developing a model based on linear programming for the optimal sizing of 100% renewable supply systems in terms of the overall system costs. It has been successfully applied in a case study for a so called Net Zero Energy Building in Denmark with three technology options. It is shown that under the chosen conditions the optimal configuration is given by a PV model combined with a heat pump for heat supply. The model allows for a fast evaluation of different supply options and is intended to be extended in future to all kind of residential RES technologies.

Keywords: Cost optimization; Renewable energy supply systems; Supply system optimization; Linear programming; Net zero energy buildings; Residential buildings (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (41)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544212004148
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:48:y:2012:i:1:p:118-127

DOI: 10.1016/j.energy.2012.05.034

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().