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This paper describes the pilot experimentation performed at neighbourhood level in the XI Municipality of Rome. The experimentation is performed by transferring electricity surplus from different buildings (without giving back the energy in excess to the ACEA utitlity supplier) thanks to the use of Odysseus — Open Dynamic System Management of energy supply, demand and storage in urban areas. This...
In order to support the development of the smart grid and the demand side management, this paper designs and implements a regional energy management system (R-EMS) considering demand response (DR). The R-EMS can realize the information linkage between the regional energy management and single-point energy management. Firstly, the design requirements and architecture of the system are proposed. And...
In this research, the electricity consumption of middle-income households was monitored using a net metering technique. A pilot group of six Mauritian households having floor area between 250 m2 and 300 m2 and yearly income between MUR 500,000 and MUR 1 million, was selected for the study. A database of apparent and leaking power consumption for these households was established. An analysis of the...
This paper presents a frugal and vibrant home SCADA energy surveillance system. The proposed SCADA system constructs a conscious mind among users on efficient utilization of electricity to operate home appliances over a daily basis. The developed system enables residential sectors to log in, display and provide real time feedback on energy consumption for each active appliance. Based on simulation...
The smart grid and its promises have sparked world-wide research and demonstration projects, some of which focus on how to empower its users with better tools to monitor, understand, and manage their energy behaviour. It is often seen, however, that the providers of the tools may be driven by a technology push, and hence make assumptions that may fall a short of users' expectations. The lack of understanding...
ORNL recently applied its “learning-from-signals” (LFS) techniques to evaluating and improving the energy efficiency of buildings at military installations. LFS is a term coined by ORNL to describe the machine learning algorithms that it has developed for mining, processing, and classifying signals either purposefully or inadvertently being picked up from infrastructure or individual devices. For...
A team approach to identifying and implementing energy efficiency measures was used at a cement plant in California in order to identify and facilitate implementation of energy efficiency measures. A team of corporate, plant, utility, and energy efficiency experts was assembled to conduct a concentrated energy scoping study to identify efficiency opportunities. Much of the team has stayed involved...
Electricity consumption in the household has been steadily increasing during the last decades, becoming a major problem for utilities, customers, and the environment. Smart metering systems are not enough to reduce such consumption. The electric grid of the future - the Smart Grid - will need to go beyond the house meters, up to the individual appliances, in order to integrate that component with...
This paper describes a field tested technique to assess energy savings via an analytic approach, bringing to the front the case of the use of variable speed drives for air compressors, compared to fixed speed motors with load-unload control. A simplified, guided procedure for evaluating and monitoring the effects of such technological replacement is reported; potentials and drawbacks of the simplified...
Household electricity consumption is a direct contributor to household expenses. Electricity acts as a backbone for a strong economy [1]. The rise in the energy consumption is clearly observed in this past decade, and so is the rise in the need for energy efficiency and conservation [2]. Monitoring power consumption by using various devices and instruments is on the rise; however a smart environment...
This paper provides a reflection on the potential contribution of scientific computing with a view to improving energy system efficiency. First, we will consider energy efficiency globally in order to evaluate its potential. We will then focus on electricity, since electrical energy is interpreted as the universal vector of work. This will give us the understanding we need for envisaging a more efficient...
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