Optimising the regional mix of intermittent and flexible energy technologies

A1 Journal article (refereed)

Internal Authors/Editors

Publication Details

List of Authors: Carl Haikarainen, Frank Pettersson, Henrik Saxén
Publication year: 2019
Journal: Journal of Cleaner Production
Volume number: 219
Start page: 508
End page: 517


Renewable energy sources could potentially
satisfy a much larger part of the energy demand of human societies. When it
comes to wind and solar energy, a key technological difficulty is the
intermittent nature of these sources of energy. In order to ensure that energy
is available at times when it is needed, these renewable energy technologies
need to be backed up by storage systems and other more flexible energy systems
such as gas engines. This paper presents a multi-period mixed-integer linear
programming optimisation model of an energy system featuring multiple
alternatives for satisfying variable demands of electricity and heat. The model
is used to investigate how the intermittent renewable energy sources could work
together with storage technologies, heat pumps, and flexible gas engines in a
resource-efficient manner. Case studies are presented to illustrate how suitable
technologies could be selected and operated in a region with high seasonal
differences in the demands of heat and electricity. The case study suggests
that heat pumps could play an important part in optimising the usage rate of
wind power.


Distributed energy systems, energy storage, Energy system modelling, Mixed integer linear programming, Renewable energy

Last updated on 2019-12-12 at 04:43