1955. Towards participatory decision support for decarbonisation planning
Invited abstract in session TB-61: Addressing behavioral issues of real-world problems 2, stream Behavioural OR.
Tuesday, 10:30-12:00Room: Maurice Keyworth G.31
Authors (first author is the speaker)
| 1. | Valentin Bertsch
|
| Chair of Energy Systems and Energy Economics, Ruhr-Universität Bochum |
Abstract
Climate change is one of the most pressing challenges of our time. To support energy-related decarbonisation decision-making and limit the effects of climate change, researchers have developed and used highly sophisticated energy system models (ESMs) for decades. Most prominently, (mixed-integer) linear optimisation models are used to identify cost-minimal energy systems that meet the energy demand and a number of further constraints such as decarbonisation targets. Real-world systems, however, are typically characterised by a multitude of heterogenous actors, uncertainties, many criteria beyond costs playing a role, and indeed identifying and implementing a global cost optimum is neither necessary nor realistic. ESMs are therefore being extended to offer multi-objective optimisation (MOO) and modelling to generate alternatives (MGA) to handle multiple criteria, such as resource constraints, supply risks or equitable distribution beyond costs and emissions. However, such methods are typically not yet applied in a truly participatory way, i.e. engaging stakeholders from beginning to end. To achieve this goal, combining ESMs with approaches from MCDA can help support structured interaction with stakeholders and elicit their preferences in practice. This work provides an overview of the state-of-the-art in this field and addresses research requirements, including the consistent consideration of uncertainties and the needs for interfaces to link these models and methods.
Keywords
- Behavioural OR
- Multi-Objective Decision Making
- OR in Energy
Status: accepted
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