energy efficiency measure
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Proceedings ◽  
2020 ◽  
Vol 65 (1) ◽  
pp. 11
Author(s):  
Vincenzo D’Agostino ◽  
Arturo Lapietra ◽  
Luca Petrungaro

This study provides an estimation of pay-4-performance (P4P) rates that energy providers are willing to offer in a P4P scheme in EU according to the classification of Energy efficiency measures (classes of EEMs). Seven different categories of EEMs are identified and 4 different tables for evaluating the EEMs are devised. After devising the classes of EEMs, the P4P rate concept is presented through the mechanism of the Energy Efficiency obligation schemes and considering the energy providers’ perspective. The proposed approach is not focused on quantifying the P4P rates, but on identifying which variables and parameters can affect these rates.


Buildings ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 88
Author(s):  
Shobhit Chaturvedi ◽  
Elangovan Rajasekar ◽  
Sukumar Natarajan

Operational uncertainties play a critical role in determining potential pathways to reduce the building energy footprint in the Global South. This paper presents the application of a non-dominated sorting genetic (NSGA II) algorithm for multi-objective building design optimization under operational uncertainties. A residential building situated in a mid-latitude steppe and desert region (Köppen climate classification: BSh) in the Global South has been selected for our investigation. The annual building energy consumption and the total number of cooling setpoint unmet hours (h) were assessed over 13,122 different energy efficiency measures. Six Pareto optimal solutions were identified by the NSGA II algorithm. Robustness of Pareto solutions was evaluated by comparing their performance sensitivity over 162 uncertain operational scenarios. The final selection for the most optimal energy efficiency measure was achieved by formulating a robust multi-criteria decision function by incorporating performance, user preference, and reliability criteria. Results from this robust approach were compared with those obtained using a deterministic approach. The most optimal energy efficiency measure resulted in 9.24% lower annual energy consumption and a 45% lower number of cooling setpoint unmet h as compared to the base case.


CFD letters ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 90-99
Author(s):  
Sheikh Saiful Azam Samsudin ◽  
Abdul Muin Shaari ◽  
Kamil Abdullah ◽  
Mohd Faizal Mohideen Batcha

2016 ◽  
Vol 129 ◽  
pp. 30-42 ◽  
Author(s):  
Anne-Sophie Foelster ◽  
Stefan Andrew ◽  
Leonardo Kroeger ◽  
Philipp Bohr ◽  
Tina Dettmer ◽  
...  

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