Understanding Cost-Effectiveness of Energy Efficiency Programs

2008 ◽  
Author(s):  
Not Given Author
2020 ◽  
Vol 172 ◽  
pp. 13002
Author(s):  
Endrik Arumägi ◽  
Targo Kalamees

In this study the cost changes caused by the implementation of the nZEB solutions are calculated. The energy demand of a building was calculated according to the methodology for calculating the energy efficiency of buildings, using dynamic energy simulations. The financial calculations are based on the methodology described in Delegated Regulation (EU) No 244/2012 of the European Commission. The simulations and calculations for assessing the cost-effectiveness of technical solutions are based on the selected sample building. The energy efficiency solutions are derived by increasing/decreasing the insulation value of the building envelope in subsequent steps. Financial calculations were based on the investment needed to achieve the nearly zero-energy levels. The results for different combinations vary to a large degree. According to regulations new building must fulfill the low energy building (EPI class “B”) requirement without local production. The EPI value to fulfill the requirement in the cost-even range is reached in case of the GSHP and efficient DH. In case of the GSHP and efficient DH also the cost-optimal point is in the EPI class “B”. Overall the minimum ΔNPV values stay below the zero line in all the cases offering a range of opportunities to choose combinations to reach lover EPI compared to base case. The results of cost-effectiveness calculations for selected building with different combinations of structural solutions and heat sources show the possible different scenarios to reach nZEB level and the possible cost reduction.


2015 ◽  
Vol 2015 (1) ◽  
pp. 2686
Author(s):  
James Milner ◽  
Ian Hamilton ◽  
Zaid Chalabi ◽  
Payel Das ◽  
Benjamin Jones ◽  
...  

2015 ◽  
Vol 26 (5) ◽  
pp. 590-607 ◽  
Author(s):  
B. Mattoni ◽  
P. Gori ◽  
F. Bisegna

Buildings are heavily responsible for energy consumption and CO2 emissions. Increasing their energy efficiency is in the direction of the EU strategies; and this is consistent with EU Energy Performance of Buildings Directive (EPBD 2010/31/EU), 2010. In this view the design and management of daylight and artificial light can play a fundamental role. In this paper, a method to optimize indoor lighting design from energy efficiency, economic and environmental viewpoints is presented. The optimization was developed through the Genetic Algorithms technique and the optimal layout in terms of number, location and mounting heights of luminaires in a generic office room was evaluated. Solutions with different types of light sources, nominal luminous flux and photometric distribution curves were compared and the cost effectiveness of these alternatives was also considered. The systems resulting from the optimization show increased uniformity of illuminance, a reduction of the number of luminaires and a decrease of the maximum UGR values, proving the effectiveness of the technique in the lighting design field. Results show that current methods for lighting design can still be improved to achieve optimal configurations in terms of energy efficiency and cost effectiveness.


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