| Autor: |
Tabbi Wilberforce, A.G. Olabi, Enas Taha Sayed, Montaser Mahmoud, Abdul Hai Alami, Mohammad Ali Abdelkareem |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
International Journal of Thermofluids, Vol 21, Iss , Pp 100581- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2666-2027 |
| DOI: |
10.1016/j.ijft.2024.100581 |
| Popis: |
Several computational algorithms have been developed to determine building heating and cooling energy requirements on a citywide scale. However, limited contemporary models can analyse all structures in an urban region, and even fewer can handle power consumption on monthly basis or at lower levels. Nevertheless, these characteristics are crucial for urban power generation planners. In light of the imperative role that accurate modelling plays in evaluating urban energy systems, this paper underscores the critical need to overcome the substantial processing costs associated with existing models, recognizing that addressing this challenge is pivotal for precise simulation of urban electricity consumption and, consequently, for informing effective urban power generation planning strategies. This study delves into the integration of solutions related to renewable energy source envelopes, focusing particularly on the strategic approach within clusters of buildings in urban energy systems. The primary objective of this research is to elucidate the cluster methodology and its defining parameters, followed by an exploration of key influencing factors and modelling methodologies. The study is delimited by specific considerations encompassing barrier dimensions, methodological intricacies, and the pivotal elements that govern renewable energy source envelope-based power provisions for building clusters. According to the conducted analysis, the processing costs of these models are a significant hurdle to accurate microsimulation of urban electricity consumption. Theoretical and numerical approximations should be used; even computational methodologies are subject to uncertainty analysis and error measurement. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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