Individual program contributions toward achieving ambitious lighting energy conservation goals are described. The BTS portfolio includes research in three broad areas: (1) light source and electronics, (2) fixtures, controls and distribution systems, and (3) human factors. An overview of each ...
To understand the reason for the slow growth in the adoption of energy-efficient residential lighting, this study identified factors influencing the purchase of energy-efficient lighting products, the willingness to pay more for energy-efficient lighting, and support for policies that ban the use of...
A Framework for Analysing Energy Consumption Factors in Commercially Built Environments The built environment in commercial spaces is the crucial location where energy gets consumed. The energy may be consumed in air conditioning or heating, l... J Tippu,S Saravanasankar,B Sankaranarayanan,... - 《...
The use of automated lighting control systems allows to reduce lighting costs and to achieve significant energy savings. The energy performances of controls are affected by many factors, the impact of which is very difficult to account for during the design process. The goal of this paper is to...
As we strive to build a sustainable future, LED lighting design stands as a beacon of hope, illuminating a path toward energy efficiency and environmental stewardship. By embracing these innovative lighting solutions, we not only save energy and reduce greenhouse gas emissions but also inspire others...
The energy consumed by a refrigerator depends upon its size, age, ambient temperature, and several other factors as described in literature. They consume 3%–5% of the total residential energy usage. Shimodaet al.42show that the daily refrigerator consumption is affected by outside temperature, wh...
Table 11. Carbon dioxide emission conversion factors [108,111,112,113,114]. Therefore, taking into account the glazing solutions that allow us to achieve the maximum energy savings on all the end uses, it was found that those characterized by a g-value of 0.46 and a U-value of 0.70 Wm...
Having a learning ability, this type of model can be used as a function of the input factors, where each factor is associated with weights depending on its relative importance [11]. ANNs can be used also to predict driving behavior by classifying driving patterns using real-world driving data...
this upscaling could be constrained by other factors, such as the supply of materials required for energy infrastructure44,45. Such issues may be best addressed by improved models that explicitly calculate the energy and material requirements of the transition, beyond what is covered by existing IAMs...
Secondly, due to its multi-temporal and multi-spatial characteristics, uncertainties from renewable resources, growing energy demands, and many other relevant factors need to be considered. Meanwhile, the planning decision is also influenced by the preference of energy utilization, geographical location ...