Modelling and optimising modern energy systems is inherently complex and often requires methods to simplify the discretization of the temporal domain. However, most of them are either (i) not well suited for systems with a high penetration of non-dispatchable renewables or (ii) too complex to be broadly adopted. In this work, we present a novel method that fits well with high penetration of renewables and different spatial scales. Furthermore, it is framework-independent and simple to implement. We show that, compared to the full time discretization, the proposed method saves >90% computation time with <1% error in the objective function. Moreover, it outperforms commonly used methods of modelling through typical days. Its practical usefuln...
Environmental concerns as climate change urge politics to act for decarbonizing our economy. Locally...
With the energy transition underway, there is a consensus effort from both worldwide governments and...
Due to computational constraints, power system planning models are typically unable to incorporate f...
Modelling and optimising modern energy systems is inherently complex and often requires methods to s...
AbstractEnergy hub model is a powerful concept allowing the interactions of many energy conversion a...
Most state-of-the art optimizing energy system models are characterised by a high temporal and spati...
In this paper, the performance of the existing energy system model PERSEUS-NET is improved in terms ...
Decarbonisation of the energy system requires substantial efforts along all sectors. This necessitat...
Energy system models based on linear programming have been growing in size with the increasing need ...
Energy models based on optimization principles are valuable tools for optimizing the design elements...
With high shares of renewable generation and a reliance on storage, modelling large scale energy sys...
Optimal design and operation of multi-energy systems involving seasonal energy storage are often hin...
Determining environmentally- and economically-optimal energy systems designs and operations is compl...
State-of-the-art energy system models include a comprehensive representation of energy sectors and t...
Models with a wide technological representation of energy systems can hardly adopt hourly resolution...
Environmental concerns as climate change urge politics to act for decarbonizing our economy. Locally...
With the energy transition underway, there is a consensus effort from both worldwide governments and...
Due to computational constraints, power system planning models are typically unable to incorporate f...
Modelling and optimising modern energy systems is inherently complex and often requires methods to s...
AbstractEnergy hub model is a powerful concept allowing the interactions of many energy conversion a...
Most state-of-the art optimizing energy system models are characterised by a high temporal and spati...
In this paper, the performance of the existing energy system model PERSEUS-NET is improved in terms ...
Decarbonisation of the energy system requires substantial efforts along all sectors. This necessitat...
Energy system models based on linear programming have been growing in size with the increasing need ...
Energy models based on optimization principles are valuable tools for optimizing the design elements...
With high shares of renewable generation and a reliance on storage, modelling large scale energy sys...
Optimal design and operation of multi-energy systems involving seasonal energy storage are often hin...
Determining environmentally- and economically-optimal energy systems designs and operations is compl...
State-of-the-art energy system models include a comprehensive representation of energy sectors and t...
Models with a wide technological representation of energy systems can hardly adopt hourly resolution...
Environmental concerns as climate change urge politics to act for decarbonizing our economy. Locally...
With the energy transition underway, there is a consensus effort from both worldwide governments and...
Due to computational constraints, power system planning models are typically unable to incorporate f...