Martina Caliano

ENEA | ENEA · Portici Research Centre

The eNeuron project aims to develop a pioneering toolbox framework for the optimal design and operation of multi-carrier energy systems, such as integrated local energy communities based on the energy hub concept. In today's rapidly evolving business and regulatory landscape, the evaluation of business models has become a critical endeavor for stak...

The integration of renewable energy sources in the European power system is one of the main goals set by the European Union. In order to ease this integration, in recent years, Renewable Energy Communities (RECs) have been introduced that aim to increase the exploitation of renewable energy at the local level. This paper presents an Energy Manageme...

Machine learning is becoming a fundamental tool in current energy systems. It helps to obtain accurate predictions of the variable renewable energy (VRE) generation, energy demand, or possible network outages, conferring to power system operators the possibility to make the needed actions to balance load and generation in intraday and day-ahead sch...

The European Union’s vision for energy transition not only foresees decarbonization of the electricity sector, but also requires commitment across different sectors such as gas, heating, and cooling through an integrated approach. It also sets local energy communities at the center of the energy transition as a bottom-up approach to achieve these a...

p>This paper presents a review study of energy communities (ECs) in Europe, and discusses the future development of such communities in Europe – both related to energy technologies, energy carriers, regional conditions (North, Central and South of Europe), emerging regulatory development etc. From the analysis, it emerged that the future ECs in Eur...

p>This paper presents a review study of energy communities (ECs) in Europe, and discusses the future development of such communities in Europe – both related to energy technologies, energy carriers, regional conditions (North, Central and South of Europe), emerging regulatory development etc. From the analysis, it emerged that the future ECs in Eur...

p>The main goal of eNeuron H2020 project (Nov 2020-Oct. 2024, ID: 957779) is to develop innovative tools for the optimal design and operation of local energy communities, integrating distributed energy resources and multiple energy carriers at different scales. This paper presents a review study of the enabling conditions for the deployment of inte...

p>The main goal of eNeuron H2020 project (Nov 2020-Oct. 2024, ID: 957779) is to develop innovative tools for the optimal design and operation of local energy communities, integrating distributed energy resources and multiple energy carriers at different scales. This paper presents a review study of the enabling conditions for the deployment of inte...

Despite their positive effects on the decarbonization of energy systems, renewable energy sources can dramatically influence the short-term scheduling of distributed energy resources (DER) in smart grids due to their intermittent and non-programmable nature. Renewables’ uncertainties need to be properly considered in order to avoid DER operation st...

Aiming at integrating different energy sectors and exploiting the synergies coming from the interaction of different energy carriers, sector coupling allows for a greater flexibility of the energy system, by increasing renewables' penetration and reducing carbon emissions. At the local level, sector coupling fits well in the concept of an integrate...

The main goal of eNeuron H2020 project (Nov 2020-Oct. 2024, ID: 957779) is to develop innovative tools for the optimal design and operation of local energy communities, integrating distributed energy resources and multiple energy carriers at different scales. This paper presents a review study of the enabling conditions for the deployment of integr...

In this paper, a multi-objective Energy Management System (EMS) for polygeneration microgrids is presented. The proposed tool has been developed within the LIVING GRID project, funded by the Italian Ministry of Research (actions related to the Italian Technology Cluster on Energy), and it is characterized by a detailed representation of generation...

Electrical load forecasting has a fundamental role in the decision-making process of energy system operators. When many users are connected to the grid, high-performance forecasting models are required, posing several problems associated with the availability of historical energy consumption data for each end-user and training, deploying and mainta...

This deliverable is the third one in the series of three reports that have been developed in the work package (WP) 2 "Limitations and shortcomings for optimal use of local resources" from the H2020 project eNeuron. The main objective of this deliverable is to identify the main barriers, technical limitations, shortcomings and obstacles which can li...

Due to the recent fast growth of Distributed Energy Resources (DER) and conversion technologies, numerous planning and evaluation models and approaches are available in the literature to enhance local integration of DER under the energy hub concept. However, most of the works address the design problem by using a limited number of aspects to achiev...

This deliverable is prepared within WP3 and the Task 3.1 "Identification of the "Local Integrated Energy Community" subject through the assessment of the current regulatory framework in Europe" in the eNeuron project. The aim of this WP is to identify the “Local Integrated Energy Community” subject based on the most recent regulatory developments a...

Through the integration of multiple energy carriers with related technologies, multi-energy systems (MES) can exploit the synergies coming from their interplay for several benefits towards decarbonization. In such a context, inclusion of Power-to-X technologies in periods of excess renewable electricity supply, removes the need for curtailment of r...

This deliverable describes the status of the eNeuron project at the end of the first project year, as well as the activities planned for the second project year. During the first project year, most of scientific and dissemination activities started, with the deliverables and milestones for this period having been accomplished. This progress has bee...

This deliverable is the second one in the series of three reports that are planned to be developed in the activity "Limitations and shortcomings for optimal use of local resources" in the H2020 project eNeuron. After the completion of a previous deliverable of the eNeuron project regarding the critical analysis of the European policy and regulatory...

This deliverable includes the first results of work package 2 "Limitations and shortcomings for optimal use of local resources" of the eNeuron project and is the first in a series of three reports that is looking into regulatory aspects concerning the methodologies to be developed within the project. The following sub-activities will identify the p...

The purpose of this Deliverable is to provide a comprehensive understanding of the current conditions for the uptake of renewable based community energy in selected target regions in Belgium, Germany, Italy, Latvia, the Netherlands, Norway, Poland, Portugal and Spain. Our focus on renewable community energy follows the definitions of RED II (Art. 2...

This paper presents the life cycle assessment (LCA) of two different solid oxide fuel cell (SOFC)-based combined heat and power (CHP) systems with thermal energy storage, one based on a reversible solid oxide fuel cell (r-SOFC) and hydrogen storage, and the other on a natural gas-fed SOFC. Both systems have been included alternately into the same s...

L’obiettivo dell’attività di ricerca, su base triennale, è quello di sviluppare e validare un tool di ottimizzazione multi-obiettivo economico/ambientale per la pianificazione operazionale day-ahead di una Local Energy Community, che funge anche da soggetto del mercato. In coerenza con l’obiettivo generale, il presente report documenta l’analisi sv...

This dataset aims at facilitating the reproducibility and traceability of the results presented in the manuscript "Comparative life cycle assessment of two different SOFC-based cogeneration systems with thermal energy storage integrated into a single-family house nanogrid". This document includes the full inventory realized for the LCA.

This dataset aims at facilitating the reproducibility and traceability of the results presented in the manuscript "Comparative life cycle assessment of two different SOFC-based cogeneration systems with thermal energy storage integrated into a single-family house nanogrid". The document includes the numerical results of the performed LCA, obtained...

Deliverable D1.1 “Analysis of directives, policies, measures and regulation relevant for the Active Building EPC concept and business models” has the main goal to analyse the current directives, policies and measures already adopted, as well as those under consideration at the EU level and across the EU Member States, in support of the Active Build...

Recently, hybrid multi-energy systems consisting of multiple generation, conversion, and storage technologies have been receiving great attention as a promising option to meet the multi-energy demands of residential end-users, by transforming them from passive consumers to active prosumers, who both produce and consume energy. The design problem of...

Environmental analysis is applied to a cogeneration system based on a reversible SOFC (rSOFC) that produces and consumes hydrogen. The reversible SOFC acts as an energy storage system, connected to a nano-grid, which stores surplus energy produced by PV as hydrogen. The Goal & Scope of the analysis is to investigate the environmental performance of...

Thermal energy storage systems have increasingly attracted researchers and engineers in the last decades, not only because they permit to overcome the mismatch between thermal energy supply and demand in solar thermal systems, but also because they have the potential to improve the power grid reliability and flexibility, as they allow, for example,...

Latent thermal energy storage systems using phase change materials (PCMs) represent an effective way of storing thermal energy because of high-energy storage density and the isothermal nature of the storage process. In the current study, the charging and discharging characteristics of a lab-scale latent heat storage (LHTES) prototype for cooling ap...

Thermal energy storage systems can be determinant for an effective use of solar energy, as they allow to decouple the thermal energy production by the solar source from thermal loads, and thus allowing solar energy to be exploited also during nighttime and cloudy periods. The current study deals with the modelling and simulation of a cooling therma...

In this work, an operation strategy for a biomass-fired combined cooling, heating and power system, composed of a cogeneration unit, an absorption chiller, and a thermal energy storage system, is formulated in order to satisfy time-varying energy demands of an Italian cluster of residential multi-apartment buildings. This operation strategy is adop...

In this work, a new approach for the design of air conditioning systems with cold thermal energy storage is described and tested, considering the case study represented by a vapor-compression chiller, coupled with a chilled water storage system, producing cooling for a small multi-apartment building situated in Italy. In the present approach, at th...

This work aims to present the results of an energetic and economic analysis of a biomass fueled CCHP system operating according to different design configurations. The investigated system consists of a biomass-fueled cogeneration unit, an absorption chiller, a thermal energy storage system and a cold one, providing electricity, heat and cooling to...

In this work, the results coming from the schedule optimization of a residential natural gas-fired CHP system operating according to a novel heat-driven operation strategy, based on the possibility to dump part of the thermal energy produced by the CHP system, are compared with the ones relative to the case in which the CHP system operates followin...

This work deals with the effects of the heat dumping on the operation of four residential micro-CHP (combined heat and power) systems, each composed of a prime mover producing electricity and heat, a thermal energy storage system and an auxiliary boiler. The micro-CHP systems differ from one another on the prime mover, while the same multi-apartmen...

In the present work the unsteady numerical simulation of a solar domestic hot water (DHW) system composed of two flat plate collectors, a water tank for heat storage, and a coil heat exchanger is addressed. The simulations have been performed using two different solvers, namely a home-made code written in Matlab, and TRNSYS 17. In the first part of...

In this work the characterization of pollutants emission of two different commercial prime movers producing electricity and heat during the cold season for a multi-apartment housing situated in Italy is addressed. In particular, an internal combustion engine and a microturbine, both fed by natural gas, have been analyzed separately. For each prime...

In the present work the unsteady numerical simulation of a solar domestic hot water (DHW) system composed of two flat plate collectors, a water tank for heat storage, and a coil heat exchanger is addressed. The simulations have been performed using two different solvers, namely a home-made code written in Matlab, and TRNSYS 17. In the first part of...

In this study the optimal operation of micro-CHP systems producing electricity and heat for a single-family house situated in Italy is addressed considering the effects of heat dissipation relative to thermal storage systems. Three different prime movers have been analyzed separately, and for each of them the operation scheduling that maximizes the...

In this work the scheduling optimization of micro-CHP systems producing electricity and heat for a single-family house situated in Italy is addressed. Three different commercial prime movers have been analyzed separately, and for each of them the operation scheduling that maximizes the revenues for the energy cogeneration with respect to the separa...