Luca Massidda graduates in Mechanical Engineering at Cagliari University in 1997. He works for two year as a mechanical engineer for a private company, designing special valves for refinery plants. Since 1999 he works at CRS4, where he gains experience in mechanical simulation and in scientific programming on parallel machines. He is involved in several projects: the design of fission fragment space propulsion system for the Italian Space Agency, the design of several equipment of the LHC and other experiments for CERN, the simulation of elastic wave propagation in various fields, the design and simulation of a solar power system, among others. In 2008 he works at CERN as a scientific associate developing simulation software for beam dump studies. He is now working again at CRS4 in fluid dynamics, turbulent combustion and mechanical simulation and he is group leader of the Smart Energy Systems team.<\/p>\n","protected":false},"featured_media":4128,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-10288","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"name":"Luca","surname":"Massidda","email":"lucam@crs4.it","phone":"+39 070 9250285","user_uuid":"cf1b078e-99fe-1032-95fe-0030485a3848","personal_page":"","google_scholar_id":"https:\/\/scholar.google.com\/citations?user=ypi2ozkAAAAJ","position":"Researcher","microsoft_academic_id":"","project_coordinator":[{"ID":13303,"post_author":"4","post_date":"2025-07-03 18:18:59","post_date_gmt":"2025-07-03 16:18:59","post_content":"SENDER will develop the next generation of energy service applications for demand-response (DR), home-automation,-convenience and -security. It puts consumers at the heart of the energy market by engaging them in a co-creation process with other actors from the energy domain during the specification of pro-active DR mechanisms to cater for the consumers\u2019 long-term incentivization.\nGrid operators are the 2nd group of SENDER core beneficiaries. The project results will increase the efficiency\/hosting capacity of distribution networks by improving the quality of load forecasts and providing access to load flexibility, which will allow to improve frequency stability, congestion management and increased (Renewable Energy Systems) RES integration. In addition, monetarization on the flexibility potential will be provided by the participation in balancing and regulatory power markets.\nSENDER shifts DR from a reactive to a pro-active approach. Consumer data will be collected and processed by means of sensor data from its premises in a cyber-secure way to identify typical consumption patterns, mirror them by digital twins (DT) based on artificial intelligence technologies and aggregate the DTs supply\/demand characteristics. The clustering of the consumer DTs will be conducted based on societal science approaches at three demonstration sites.\nAllowing interoperability with legacy systems and third-party applications, SENDER envisions business models (BM) that base on the condition that the consumer receives a fair share of the DSOs profit from flexibility use. BMs will focus on the role of the DSO as a facilitator, but also on energy communities\/cooperatives as local actors that will manage their members \u0301 flexibility assets. Based on the co-creation process, consumers will also be actively involved into the BM design.\nThe SENDER wider roll-out after the project will be prepared by exploitation plans and implementation guides for the co-creation process and the SENDER soft- and hardware.","post_title":"SENDER","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"sender","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:04","post_modified_gmt":"2026-04-02 10:33:04","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/sender\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13307,"post_author":"4","post_date":"2025-07-03 18:19:02","post_date_gmt":"2025-07-03 16:19:02","post_content":"The research project TECHUS GRID aims at the realization of a platform (proof of concept) for the operational and accounting management of Dynamic Energy Communities (DECs); DECs represent an evolution of \"static\" energy communities because they integrate \"dynamic external\" factors such as environmental well-being within the property and daily habits in energy use by users to the concept of energy sharing. The platform, in fact, returns energy balancing results, not only based on the energy produced and consumed, but also on the basis of information on environmental well-being conditions within the property, acquired through environmental sensors and on the basis of user load curve profiles interpreted by an AI algorithm that performs a pattern recognition and load disaggregation analysis on the acquired profiles. The platform, therefore, will implement an intelligent management model that can make decisions for the economic valuation of the shared energy used by the individual user based on information on consumption profiles and environmental well-being within the property. On the management model, in addition, solutions for accounting for energy exchanges among peers at the local level will be investigated by exploiting blockchain technology. For this purpose, automated credit distribution logics based on smart contracts and oracles, i.e., systems that can acquire data and information from outside and then provide those inputs to the smart contracts themselves, will be designed.","post_title":"TECHUS GRID","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"techus-grid","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:09","post_modified_gmt":"2026-04-02 10:33:09","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/techus-grid\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14752,"post_author":"4","post_date":"2025-07-03 18:19:21","post_date_gmt":"2025-07-03 16:19:21","post_content":"Water infrastructure management is now one of the key areas to evaluate the application and development of new models and technologies for energy efficiency. It is estimated that effective control of facilities can save 10% water and 12% to 30% energy. Therefore, increasing efficiency in water supply and distribution offers great potential for reducing energy consumption and CO2 emissions. This requires innovations that affect the entire process from energy rationalization, supply schemes for consumption centers powered by multiple sources to the optimization of pumping in the networks of adduction and distribution to the use of renewable energy.\n\u00a0\nENERGIDRICA will develop a decision support system for the energy efficiency of water supply and distribution networks by generating process innovations according to the principles of energy saving, energy reduction and integration with sustainable energy sources, in three complementary decision-making areas:\n- Urban center supply schemes from multiple sources. ENERGIDRICA will produce a structured and replicable methodology to energy rationalize the resource rates from each source, respecting the needs, the constraints of resource availability and the capacity of hydraulic carriers;\n- Management of pumping in adduction and distribution networks. ENERGIDRICA will develop methodologies for the analysis of energy inefficiencies and for the support of plant management that integrate advanced management-oriented hydraulic analysis tools, in which it is possible to physically based modeling of water losses in the network as indicators of energy and management efficiency;\n- Integration with sustainable energy sources. ENERGIDRICA will develop tools for the integration with sustainable energy sources in a logic of self-consumption to feed pumping systems. Different functionalities will be addressed to support the realization from scratch of sustainable energy recovery plants or to promote their use in the operational optimization of pumping.\n\u00a0\nAs part of the project, CRS4 will develop a forecasting system of generation from renewable sources for specific plants, based on the processing of the output of the GFS model at global scale, through machine learning systems based on historical data of energy production and weather forecasts.\u00a0\nThe forecasts, also of probabilistic type, will be made available through a web interface for the partners involved.\u00a0\n\u00a0\nThe transfer of the process innovations to the Managers will be ensured by the integration with the information systems already in use. The development of an open and flexible cloud architecture with respect to existing solutions will be integrated with interface services with sensors and actuators in an IoT logic. The standardization of processes through structured approaches, replicable and non-empirical, responds to the need to optimize the large hydraulic infrastructures that characterize the regions of the South, and beyond.","post_title":"ENERGIDRICA","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"energidrica","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:21","post_modified_gmt":"2026-04-02 10:33:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/energidrica\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":16794,"post_author":"4","post_date":"2025-07-03 18:20:09","post_date_gmt":"2025-07-03 16:20:09","post_content":"Achieving the EU's climate change and energy policy objectives for 2020 will require a major transformation of the EU and national electricity infrastructure.\u00a0\nThe need to develop energy planning systems that allow energy infrastructures to be managed in an eco-compatible and sustainable way becomes a fundamental prerogative. \u00a0\nSARDINE responds to this need for smart grid design by aiming to create a Web-based decision-support application that, through a tool, allows to increase the effectiveness of the analysis during the design of new smart grids or retrofitting of solutions to be improved.\nSARDINE for this purpose integrates different methodologies including: the Geographic Information System (GIS), the Multicriteria Optimization (OM) and the Life Cycle Assessment (LCA).\nSpecifically, the functionalities of each methodology include:\n