A three-step methodology to improve domestic energy efficiency

Abstract

Abstract-Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of technologies have been developed to improve this efficiency. Next to large scale technologies such as windturbine parks, domestic technologies are developed. These domestic technologies can be divided in 1) Distributed Generation (DG), 2) Energy Storage and 3) Demand Side Load Management. Control algorithms optimizing a combination of these techniques can raise the energy reduction potential of the individual techniques. In this paper an overview of current research is given and a general concept is deducted. Based on this concept, a three-step optimization methodology is proposed using 1) offline local prediction, 2) offline global planning and 3) online local scheduling. The paper ends with results of simulations and field tests showing that the methodology is promising.

Efficient Energy Management System for Solar Energy

“…Suitable choice for this controller implementation is FPGA that supports parallel and pipe-lined architecture for faster execution of algorithms [17][18][19][20].…”

Dynamic Economic Dispatch Solution for a Microgrid Using Improved Ant Colony Optimization

“…Demand side management is also studied by introducing novel upcoming technologies [12][13]. In addition, swarm intelligence methods are emerging to be applied into economic dispatch for the MicroGrid in recent years [14][15], which have been proved to be a useful and effective way in traditional economic dispatch [16][17].…”

Integrating Renewables in Distribution Grids : Storage, regulation and the interaction of different stakeholders in future grids

“…In practice, this approach may be realized approximately using prediction, planning and real-time control (see, e.g. the methodology TRIANA presented in Molderink et al (2010) and described shortly in Subsection 5.3.2). The achieved results for This different operation mode can reduce or increase the wearing -this depends on the chosen technology (e.g.…”

“…For this, appropriate devices like electric cars, electric heat pumps or white goods such as washing machines, can be incorporated in the analysis using an optimization approach or an energy flow simulator. One topic of future research is to integrate the presented analysis within the TRIANA approach (see Bakker (2010a), Bakker (2010b), Molderink et al (2010), Molderink (2011) andBakker (2012) as well as the short description of this optimization methodology in Subsection 5.3.2). -evaluation of congestion management: using the given data, a (welfare economical) analysis is possible which compares the benefit of additional feed-in of RES-E in low-load periods with corresponding reinforcement costs in grid assets for these (seldom occurring) high feed-ins.…”