Abstract
| Language | English |
|---|---|
| Article number | e363 |
| Journal | WIREs: Energy and Environment |
| Early online date | 2 Sep 2019 |
| DOIs | |
| Publication status | E-pub ahead of print - 2 Sep 2019 |
Fingerprint
Keywords
- energy modelling
- energy systems
- multivector
- uncertainty
Cite this
}
Making energy system models useful : good practice in the modelling of multiple vectors. / Hawker, Graeme S.; Bell, Keith R. W.
02.09.2019.Research output: Contribution to journal › Article
TY - JOUR
T1 - Making energy system models useful
T2 - good practice in the modelling of multiple vectors
AU - Hawker, Graeme S.
AU - Bell, Keith R. W.
PY - 2019/9/2
Y1 - 2019/9/2
N2 - Energy system models which cover multiple vectors have become increasingly used to provide an evidence base for policy and commercial decisions in real-world energy systems undergoing change. In particular, such models are often used to derive ‘optimal’ pathways to decarbonisation considering the planning or operation of systems with multiple technology options. This paper explores how the concept of ‘usefulness’ – the applicability and relevance of modelling outcomes – may be used to establish criteria for modelling design and practice at the outset, and looks at the difficulties that may be faced in achieving this. The application should inform the choice of modelling framework and the manner in which tractability should be addressed and results meaningfully presented. A process of continuous engagement is proposed which guides modelling work towards ‘useful’ outcomes, as well as mitigating the danger of results being more reflective of design choices than the properties of the real-world systems being modelled. Because of the difficulties in maintaining and auditing complex datasets spanning expertise from multiple sectors, there is a clear role for independent data curators to facilitate rigour in model parameterisation and to allow consistency between modelling efforts. Specialists from the different disciplines represented should be engaged to ensure that data have been interpreted and applied correctly. All modelling choices should be clearly documented along with advice on their possible implications in respect of use of the results.
AB - Energy system models which cover multiple vectors have become increasingly used to provide an evidence base for policy and commercial decisions in real-world energy systems undergoing change. In particular, such models are often used to derive ‘optimal’ pathways to decarbonisation considering the planning or operation of systems with multiple technology options. This paper explores how the concept of ‘usefulness’ – the applicability and relevance of modelling outcomes – may be used to establish criteria for modelling design and practice at the outset, and looks at the difficulties that may be faced in achieving this. The application should inform the choice of modelling framework and the manner in which tractability should be addressed and results meaningfully presented. A process of continuous engagement is proposed which guides modelling work towards ‘useful’ outcomes, as well as mitigating the danger of results being more reflective of design choices than the properties of the real-world systems being modelled. Because of the difficulties in maintaining and auditing complex datasets spanning expertise from multiple sectors, there is a clear role for independent data curators to facilitate rigour in model parameterisation and to allow consistency between modelling efforts. Specialists from the different disciplines represented should be engaged to ensure that data have been interpreted and applied correctly. All modelling choices should be clearly documented along with advice on their possible implications in respect of use of the results.
KW - energy modelling
KW - energy systems
KW - multivector
KW - uncertainty
U2 - 10.1002/wene.363
DO - 10.1002/wene.363
M3 - Article
M1 - e363
ER -