How the italian residential sector could contribute to load flexibility in demand response activities: a methodology for residential clustering and developing a flexibility strategy

This work aims at exploring the potential contribution of the Italian residential sector in implementing load flexibility for Demand Response activities. In detail, by combining experimental and statistical approaches, a method to estimate the load profile of a dwelling cluster of 751 units has been presented. To do so, 14 dwelling archetypes have been defined and the algorithm to categorise the sample units has been built. Then, once the potential flexible loads for each archetype have been evaluated, a control strategy for applying load time shifting has been implemented. That strategy accounts for both the power demand profile and the hourly electricity price. Specifically, it has been assumed that end users access a pricing mechanism following the hourly trend of electricity economic value, which is traded day by day in the Italian spot market, instead of the current Time of Use (TOU) system. In such a way, it is possible to flatten the dwellings cluster profile, limiting undesired and unexpected results on the balancing market. In the end, monthly and yearly flexibility indexes have been defined along with the strategy effectiveness parameter. From calculations, it emerges that a dwelling cluster for the Italian residential sector is characterised by a flexibility index of 10.3% and by a strategy effectiveness equal to 34%. It is noteworthy that the highest values for flexibility purpose have been registered over the heating season (winter) for the weekends

Molecular characteristics of a strain (Salento-1) of Xylella fastidiosa isolated in Apulia (Italy) from an olive plant with the quick decline syndrome

DNA-based approaches were used to characterize a strain (Salento-1) of Xylella fastidiosa obtained from an olive plant suffering from the syndrome of quick decline in Apulia (South Italy). Salento-1 was indistinguishable from strain CoDiRO previously isolated from olive in Apulia and assigned to  X. fastidiosa subsp. pauca. Based on our results and comparative analysis with reported data, the subspecies pauca, multiplex, and fastidiosa may invade olive throughout the world (California, Italy, Argentina and Brazil). The strain Salento-1 has been deposited in the National Collection of Plant Pathogenic Bacteria (NCPPB), England, and in the Belgian Coordinated Collections of Microorganisms (BCCM), Belgium

Molecular characteristics of a strain (Salento-1) of Xylella fastidiosa isolated in Apulia (Italy) from an olive plant with the quick decline syndrome

DNA-based approaches were used to characterize a strain (Salento-1) of Xylella fastidiosa obtained from an olive plant suffering from the syndrome of quick decline in Apulia (South Italy). Salento-1 was indistinguishable from strain CoDiRO previously isolated from olive in Apulia and assigned to  X. fastidiosa subsp. pauca. Based on our results and comparative analysis with reported data, the subspecies pauca, multiplex, and fastidiosa may invade olive throughout the world (California, Italy, Argentina and Brazil). The strain Salento-1 has been deposited in the National Collection of Plant Pathogenic Bacteria (NCPPB), England, and in the Belgian Coordinated Collections of Microorganisms (BCCM), Belgium

Methodology and Simulation of Electrical Grid Peak Shaving Strategy based on Photovoltaic and Storage Optimization: an Italian Residential Sector Case Study

The European Union has set some ambitious targets to reach the goal of net-zero greenhouse gasses by 2050. The outlined scenarios provide the use of Renewable Energy Sources (RES) on a large-scale, but to do so, different kinds of actions must be taken, because the ample amount of non-programmable electricity sources may cause grid management problems and a mismatch in the energy supply and demand. The vast increase of the Italian power demand, which typically occurs in the evening, necessarily requires a rapid increase in thermoelectric power generation. A possible solution to avoid this phenomenon is the optimization of photovoltaic production and storage and, simultaneously, the minimization of the Life-Cycle impact of these systems on the environment. This work aims to identify a methodology that supports the analysis and design of a production, self-consumption and storage system, which services a residential user aggregate, in order to reach an electric power demand optimization. In particular, the target is to obtain a Peak Shaving of the electrical demand power curve, by setting a limit on the maximum absorption of power from the grid, and supplying the rest of the user’s power needs through an electrical energy storage system, charged from the photovoltaic plant during the daily overproduction time. To do so, 14 dwelling power consumptions have been aggregated and analysed, starting from a data monitoring that occurred in January and June of 2019. The energy consumptions considered, are in line with the Italian average ones. The Peak Shaving strategy effectiveness has been evaluated by using a percentage parameter, that represents the number of power absorption peaks from the grid, avoided thanks to the storage system. In this study, some optimal system plant settings, in terms of maximum power absorption from the grid, photovoltaic nominal peak power and electrical storage capacity, are investigated to reach the set goals, and some solutions are presented, in light of the needs of the public grid where the system operates

Implementation and Simulation of Real Load Shifting Scenarios Based on a Flexibility Price Market Strategy—The Italian Residential Sector as a Case Study

This work aims to evaluate the Flexibility Potential that a residential household can effectively provide to the public grid for participating in a Demand Response activity. In detail, by using 14 dwellings electrical data collection, an algorithm to simulate the Load Shifting activity over the daytime is implemented. That algorithm is applied to different scenarios having considered the addition of several technical constraints on the end users’ devices. In such a way, more realistic demand-side management actions are implemented in order to assess the Flexibility Potential deriving from the loads shifting. Basically, by performing simulations it is possible to investigate how the household appliances real operating conditions can reduce the theoretical Flexibility Potential extent. Starting from a Flexibility Price-Market-based Strategy, this work simulates the shifting over the day and night-time of some flexible loads, i.e., the shiftable and the storable ones. Specifically, all instants where load curtailments and enhancements occur over the typical day, the flexibility strategy effectiveness in terms of percentage, the power and energy that are potentially flexible, are evaluated. All the simulations are performed only for residential consumers to evaluate the actual dwellings Flexibility Potential in the absence of any electrical storage and production systems. The outcomes of these simulations show an average Theoretical Flexibility reduction, which is calculated as the fraction of appliances’ cycles shifting over the total ones, equal to 53%, instead of 66%; in a single dwelling, a maximum variation equal to 29% has been registered. In the end, the monthly average shifted energy per dwellings decreases from 27 to 18 kWh, entailing 32.5% off