TY - GEN
T1 - Reviewing Challenges and Limitations of Energy Modelling Software in the Assessment of PEDs Using Case Studies
AU - Belda, Alberto
AU - Giancola, Emanuela
AU - Williams, Karen
AU - Dabirian, Sanam
AU - Jradi, Muhyiddine
AU - Volpe, Rosaria
AU - Samareh Abolhassani, Soroush
AU - Fichera, Alberto
AU - Eicker, Ursula
PY - 2021/9/29
Y1 - 2021/9/29
N2 - Positive Energy Districts (PEDs) have the potential of accelerating the decarbonization of urban areas and promoting scalability between cities. The development and real-world implementation of such innovative concepts can be enhanced through urban energy modelling. However, assessing PEDs can be challenging, and information on this topic is scarce and fragmented. The main contribution of this paper is collecting and analyzing challenges and limitations of energy modelling software for assessing PEDs through five case studies in Italy, Spain, The Netherlands, Denmark and Canada. Case studies are assessed first from a modelling approach, then the main identified challenges and limitations of modelling tools for PEDs are discussed, and finally, various ongoing trends and research needs in this field are suggested.
AB - Positive Energy Districts (PEDs) have the potential of accelerating the decarbonization of urban areas and promoting scalability between cities. The development and real-world implementation of such innovative concepts can be enhanced through urban energy modelling. However, assessing PEDs can be challenging, and information on this topic is scarce and fragmented. The main contribution of this paper is collecting and analyzing challenges and limitations of energy modelling software for assessing PEDs through five case studies in Italy, Spain, The Netherlands, Denmark and Canada. Case studies are assessed first from a modelling approach, then the main identified challenges and limitations of modelling tools for PEDs are discussed, and finally, various ongoing trends and research needs in this field are suggested.
KW - District energy modelling
KW - Energy system modelling
KW - Modelling techniques
KW - Positive energy districts
U2 - 10.1007/978-981-16-6269-0_39
DO - 10.1007/978-981-16-6269-0_39
M3 - Conference contribution
SN - 9789811662683
T3 - Smart Innovation, Systems and Technologies
SP - 465
EP - 477
BT - Sustainability in Energy and Buildings 2021
A2 - Littlewood, John R.
A2 - Howlett, Robert J.
A2 - Jain, Lakhmi C.
PB - Springer
CY - Singapore
ER -