A Decision-Making Framework for Early-Stage Design of Positive Energy Blocks
SSRN, ISSN: 1556-5068
2024
- 80Usage
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This paper analyses how a group of three buildings can be transformed into a Positive Energy Block (PEB). PEB is an emerging energy paradigm based on an aggregation of buildings that produces more energy than it consumes. The current literature describes PEB as a mesoscale model compared to those focused on building and district scale. In contrast, this study is built upon the assumption that PEB has specific features that require a dedicated implementation procedure and indicators. A decision-making framework for PEB was developed and tested through a case study. The methodology introduces the PEB reference matrix (PEBref) organised into 25 ranks of feasibility, each of them characterised by a specific value of energy consumption and production. It describes how PEBref is structured and used to establish a rank target validated through a rank designed to determine the class of PEB feasibility. Concerning the case study, findings demonstrated that PEB is admissible, however, the achieved solution is under a critical class of feasibility due to intrinsic limits of the block. The insights from the case study highlighted that the PEB organisation is based on establishing a hierarchy among buildings rather than an aggregation of positive energy buildings. PEB is an isotropic, adaptable, and close system and its implementation is based on strategic actions distributed across the urban space and time rather than an established urban district. The developed decision-making framework has significant utility useful for decision-makers to prioritise actions in the early design stages and build future scenarios. This paper concludes by emphasising PEB's role in accelerating the rate of building renovation synchronising the implementation of low-carbon infrastructure and urban regeneration strategies.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know