Certification of energy efficiency measure (EEM) installation in existing buildings

2017 ◽  
Keyword(s):  
Energy Efficiency ◽  
Efficiency Measure ◽  
Existing Buildings ◽  
Energy Efficiency Measure

scholarly journals Multi-objective Building Design Optimization under Operational Uncertainties Using the NSGA II Algorithm

Buildings ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 88
Author(s):  
Shobhit Chaturvedi ◽  
Elangovan Rajasekar ◽  
Sukumar Natarajan
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Design Optimization ◽  
Building Design ◽  
Building Energy ◽  
Global South ◽  
Efficiency Measure ◽  
Nsga Ii ◽  
Multi Objective ◽  
Energy Efficiency Measure

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.

Multi-Objective Optimization Approach for Improving Performance of Building

2009 ◽  
Vol 3 (3) ◽  
pp. 70-73
Author(s):  
A. Kamenders ◽  
A. Blumberga
Keyword(s):  
Energy Efficiency ◽  
Target Function ◽  
Complex Problem ◽  
Optimization Approach ◽  
Efficiency Measure ◽  
Multi Objective Optimization ◽  
Energy Efficiency Measures ◽  
Multi Objective ◽  
Energy Efficiency Measure ◽  
Efficiency Measures

Multi-Objective Optimization Approach for Improving Performance of Building Energy efficiency measures are different from energy efficiency and cost effectiveness perspective. For decision maker it is hard to make right decision about different energy efficiency measure combinations in building. It is a complex problem to choose the best energy efficiency measure combination as decision involves many different factors that should be taken in account. Decision on implementation of energy efficiency measure implementation usually depends on investment costs and pay back time. Standards like Latvian Building Code LBN 002-01 can't be used to achieve reasonable expenses in renovation of buildings. Therefore, in order to find the optimal energy-efficiency measures, it is necessary to carry out optimization taking all the variable parameters into account. In the paper target function was presented that gives ability of the multi-objective optimization approach to handle the problem of improving energy efficiency in buildings. Case study is used to demonstrate the feasibility of the approach. 104. series soviet type dwellings was analysed to optimized insulation thickness for external walls. Even if accord with the LBN 002-01 it is enough to use 7 cm thick isolation (λ-0,039 W/(m2K)) layers optimal insulation layer is 12 cm (λ-0,039 W/(m2K)).

Electronics recycling as an energy efficiency measure – a Life Cycle Assessment (LCA) study on refrigerator recycling in Brazil

2016 ◽  
Vol 129 ◽  
pp. 30-42 ◽  
Author(s):  
Anne-Sophie Foelster ◽  
Stefan Andrew ◽  
Leonardo Kroeger ◽  
Philipp Bohr ◽  
Tina Dettmer ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Efficiency Measure ◽  
Energy Efficiency Measure

scholarly journals Devising Classes of Energy Efficiency Measure for Evaluating Pay-4-Performance Rate That Energy Provider Will Be Willing to Offer in Pay-4-Performance Scheme

Proceedings ◽  
2020 ◽  
Vol 65 (1) ◽  
pp. 11
Author(s):  
Vincenzo D’Agostino ◽  
Arturo Lapietra ◽  
Luca Petrungaro
Keyword(s):  
Energy Efficiency ◽  
Efficiency Measure ◽  
Energy Efficiency Measures ◽  
Energy Efficiency Measure ◽  
Efficiency Measures ◽  
Energy Provider ◽  
Performance Rate

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.

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