Despite the growth of solar energy sector, its utilization for provision has remained largely limited to hours daylight. Previous studies have considered integration storage (ES) with farms charge up using during daytime and discharge in other hours. Alternatively, recent advancement space technology enabling deployment orbiting reflectors (OSRs) opens a new vista possibilities delivery clean s...

Information provision is a key element of government energy-efficiency policy, but the information that is provided is often too coarse to allow consumers to make efficient decisions. An important example is the ubiquitous yellow “EnergyGuide” label, which is required by law to be displayed on all major appliances sold in the United States. These labels report energy cost information based on a...

In this paper, we consider an energy-efficient scheduling problem where n jobs J1, J2, . . . , Jn need to be executed such that the total energy usage of these jobs is minimized while ensuring that each job is finished within it’s deadline. We work in an online setting where a job is known only at it’s arrival time, along with it’s processing volume and deadline. In such a setting, the currentl...

The metric, Power Usage Effectiveness (PUE), has been successful in improving energy efficiency of data centers, but it is not perfect. One challenge is that PUE does not account for the power distribution and cooling losses inside IT equipment. This is particularly problematic in the HPC (high performance computing) space where system suppliers are moving cooling and power subsystems into or o...

Passive solar systems such as solar chimneys need solar radiation in order to work. Therefore, they cannot present stable natural ventilation when solar energy vanishes: to have a more robust and stable condition, solar energy should be stored during the day and released back during the night. Phase change materials can save additional thermal energy during the day and release it during the...

The main goal of this research is to discover the structure of home appliances usage patterns, hence providing more intelligence in smart metering systems by taking into account the usage of selected home appliances and the time of their usage. In particular, we present and apply a set of unsupervised machine learning techniques to reveal specific usage patterns observed at an individual househ...