Abstract
The optimal combination of energy conversion and storage technologies
with local energy demand is a key but in its result not obvious
challenge of distributed energy. Although a variety of possible
approaches to the optimal design of limited technology selections can be
found in the literature, the previous design step, the actual technology
selection, and the subsequent step, the selection of the optimal
operating strategy, are often neglected. We develop and demonstrate a
methodology, which can optimise energy systems with arbitrary technology
selection and under multi-criteria optimality definitions. The energy
system modelled in oemof.solph is optimised using a MOEA/D approach with
regard to economic, ecological and technical key performance indicators.
The aim is to find trends and tendencies with a methodology that is as
generalised as possible in order to integrate it into the
decision-making process in energy system planning. We demonstrate the
method by means of a German district for which an integrated supply
concept is being sought. Different evaluation and visualisation
possibilities are presented and the chances and limitations of the
developed methodology are identified. We show that not only the choice
of technology, but especially its sizing and operational strategy have a
decisive influence on the optimality.