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Report RSE 17001216

Energy Optimization functions: Data analyses and test in field

Report

2016

Request Document (11.38 MB, .pdf)

V. Angelucci (RSE SpA), P. Gramatica (RSE SpA), R. Urban (RSE SpA), D. Moneta (RSE SpA)

GESTDOMANDA 2016 - Demand side management

The aims of this activities are to develop technologies that will enable energy optimization of residential buildings, both performing an optimal control of internal sub-systems and also providing advanced mechanisms for effective interaction with external world, including other buildings, local producers, electricity distributors, and enabling energy exchange capabilities at a district level.

The latest EU Climate Package confirms the necessity for immediate and sustained action on climate change. One key way to achieve that is to reduce and ultimately phase out the CO2 emissions produced by the building sector by transforming the way buildings are designed, built, and operated. Energy networks are becoming more and more complex, particularly due to the introduction of distributed resources including generators and storage elements. The availability of resources in the network periphery gives the possibility to optimize energy usage at local (district) level, presenting to the larger grids a demand and/or offer profile corresponding to the district aggregate. Particularly relevant in the proposed district architecture is the role of the flexibility offered by residential customers. The local optimization of flexibility can be obtained by distributing at district level information about users' energy needs on one hand, and their available resources on the other. This local information exchange requires the introduction of distributed intelligence in the energy network, as well as some additional interconnections. In this way the traditional architecture where individual users (households, companies, industries) are connected in a star topology to large energy plants would be replaced by a more connected (meshed) energy network with added data exchange capabilities. Finally, a local (district) energy management is the ideal architecture for introducing new business models, including one where energy can be sold and bought using methods very similar to those used in the stock market trading. Energy trading is a reality for operators participating in the larger smart grids, and could be applied also at lower levels, up to individual users. All this requires changes at both architectural and regulatory levels, but these issues are worth investigating because they are in line with the current trends, which identify the district as the key element of future energy networks. The aims of this activities are to develop technologies that will enable energy optimization of residential buildings, both performing an optimal control of internal sub-systems and also providing advanced mechanisms for effective interaction with external world, including other buildings, local producers, electricity distributors, and enabling energy exchange capabilities at a district level.

This deliverable is composed by the following sections:

Section 2: it provides a description of methodologies and algorithms used for forecasting demand and production of residential customers. It also describes the aggregation methodology developed to replicate users consumption in an energy district. Finally a planner of the better starts of appliances combined with an “user engagement” module for the energy efficiency is described.

Section 3: It analyses the possible impacts on the LV distribution network of the diffusion of electrotechnologies in the residential sector.

Section 4: in this section the HW/SW update in the Lab (“domotic house”) has been described.

Section 5: analyses impacts of new residential tariffs on “prosumer” with PV plants and a storage devices. Section 6: it summarizes the contribution to the standardization process of the 2nd generation smart meter for electricity.

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