1,721,065 research outputs found
Techno-economic design of a smart multienergy microgrid
No full textThe paper presents the main objectives, approach, and research challenges of the Mission Innovation project 'MISSION Multivector Integrated Smart Systems and Intelligent microgrids for accelerating the energy transition' carried out in the research center of Portici (ENEA). More specifically, the work started with an analysis of the state of the art of smart networks implemented at national and international level, with the aim of identifying the innovative elements of Smart Energy Microgrid (SEM) ENEA compared to the existing installations. A special focus has been given to the preliminary assessment of the technologies involved, the sizing and the constraints of the SEM. The productions of the technologies that allow to understand the behavior of the entire simulated energy system are reported. Based on the analysis of the results achieved and through the considerations of the available space, the most feasible scenario is revealed
A joint approach for strategic bidding of a microgrid in energy and spinning reserve markets
Full text linkn the electricity market, short-term operation is organized in day-ahead and real-time stages. The two stages that are performed in different time intervals have reciprocal effects on each other. The paper shows the strategy of a microgrid that participates to both day-ahead energy and spinning reserve market. It is supposed that microgrid is managed by a prosumer, a decision maker who manages distributed energy sources, storage units, Information and Communication Technologies (ICT) elements, and loads involved in the grid. The strategy is formulated considering that all decisions about the amount of power to sell in both markets and the price links to the offer, must be taken contextually and at the same time, that is through a joint approach. In order to develop an optimal bidding strategy for energy markets, prosumer implements a nonlinear mixed integer optimization model: in this way, by aggregating and coordinating various distributed energy sources, including renewable energy sources, micro-turbines–electricity power plants, combined heat and power plants, heat production plants (boilers), and energy storage systems, prosumer is able to optimally allocate the capacities for energy and spinning reserve market and maximize its revenues from different markets. Moreover, it is considered that both generators and loads can take part in the reserve market. The demand participation happens through both shiftable and curtailable loads. Case studies based on microgrid with various distributed energy sources demonstrate the market behavior of the prosumer using the proposed bidding model
Massive data analysis to assess PV/ESS integration in residential unbalanced LV networks to support voltage profiles
Full text linkThe integration of energy storage systems (ESSs), co-located with distributed photovoltaic (PV) units in low voltage (LV) networks, offers new opportunities to support distribution system operator (DSO) in distribution network operations and management. The deepening penetration of renewable resources exacerbates the challenge to maintain demand–supply equilibrium. ESSs can tackle this challenge making PV resources dispatchable. Here, we apply a Monte Carlo analysis considering different residential load profiles and PV/ESS characteristics (e.g., penetration levels, locations, and capabilities) to assess the impact that two different control strategies have in supporting the DSO in improving the power quality of the distribution network
Introduction: The Need for Sector Coupling and the Energy Transition Goals
No full textThis chapter addresses the concept of sector coupling aiming at promoting cooperation among different sectors beyond electricity. It can help in lifting the multiple challenges related to a strong electrified scenario, as it fosters a flexible energy system while increasing efficiency in the energy resources use and reducing renewables curtailment through exploiting synergies among different energy carriers. Although the tangible benefits are achievable via sector coupling, the concept is still addressed at the theoretical level, being far away from a large-scale implementation and deployment. A bottom-up approach based on the assessment of local projects involving renewables and multiple energy carriers is preferable to demonstrate the economic and environmental sustainability of sector coupling solutions. Combining the sector coupling concept at the local level with one of the energy communities leads to the innovative concept of integrated local energy community, which represents an efficient and sustainable way of managing energy at a local level by fostering consumer engagement and empowerment
Comparison between two different operation strategies for a heat-driven residential natural gas-fired CHP system: Heat dumping vs. load partialization
No full textAn application of a novel operational strategy for combined heat and power systems
No full textIn this work an application of a novel strategy for
the operation of combined heat and power
(CHP) systems is analysed considering the
results of an optimization analysis performed by
means of a home-made code written in Matlab,
and the ones relative to dynamic simulations
carried out using the commercial software
TRNSYS 17. Such approach is mainly devoted
to CHP systems operating without load
modulation, and it is similar to the classical heat-
driven operational strategy, except for the
possibility to dump part of the heat produced by
cogenerators. The differences between the
present approach and the heat-driven strategy
without heat dumping are shown for a case
study represented by a residential micro-CHP
system, composed of a prime mover, a thermal
energy storage system and an auxiliary boiler,
producing electricity and heat for a single-family
house located in Italy. In particular, it is shown
that heat dumping can involve a considerable
reduction of the heat storage system size, with a
negligible decrease of the useful energy
produced by the micro-CHP system
Sizing of Thermal Storage Under the Eco-Exergetic Operation Optimization for District Energy Networks: Application to a Real Case Study in Italy
No full textDistrict energy networks (DENs) are recognized crucial to contribute to the carbon neutrality target by 2050, thanks to the possibility to integrate renewables at the local level in the heating and cooling sector beyond the electricity one. Thermal energy storage (TES) allows DENs to be more flexible by managing the temporal gap between supply and demand. The identification of the TES size in a DEN is challenging, depending on several variables as energy loads and prices, the coupling of energy processes within the DEN, and the different economic or sustainability priorities. The contribution of this paper is to present an optimization model for sizing TES under the eco-exergetic operation optimization of DENs. The model is based on mixed-integer linear programming and aims to determine the optimal operation strategies of the DEN and the optimal TES capacity with the goal to maximize the economic/exergetic performance of the network. As case study, a real DEN located in Torino is considered. From the comparison with the results obtained with the current case in the absence of the TES, it emerges that the optimization tool brings valuable economic and exergetic benefits to the DEN, thanks to the identification of the optimal TES capacity
Optimal Operation of a Residential Microgrid: The Role of Demand Side Management
No full textIn this paper demand side management (DSM), characterized by shifting techniques, is applied to a residential microgrid. It is supposed that the microgrid is managed by a prosumer, a decision maker who manages distributed energy sources, storage units, ICT elements, and loads involved in the grid. DSM is considered as an integral part of the optimal economic short-term management problem such that the allocation of shiftable loads is treated as a variable must be determined simultaneously with all the others variables (i.e. energy exchange with the main grid, internal production, charge/discharge of electrical storage units). This paper focuses on the formulation of an economic model including functional links between shiftable and shifted loads properly linked. The objective function is the minimization of the operation energy costs. The model is implemented using IBM ILOG CPLEX an optimization programming language solver. The analysis shows how the variable allocation of shiftable loads is related to the other variables and how all the variables are linked (directly or indirectly) to the energy price and to the other parameters typical of shiftable energy devices. Moreover, the model allows to easily perform sensitivity analyses by varying the parameters considered. For instance, transitioning from the pre-shift to post-shift state, an improvement of the economic objective corresponds to an enhancement in the utility load profile. A sensitivity analysis is carried out by varying the maximum amount of power exchanged with the main grid. Results provide useful information to find a compromise between connecting interests. Numerical results are presented and discussed
Multiobjective Optimal Design of Photovoltaic Synchronous Boost Converters Assessing Efficiency, Reliability, and Cost Savings
No full textOptimal design of switching converters for the integration
and optimal exploitation of renewable energy sources
(RES) represents a crucial issue often debated in the recent power
electronics literature. The design problem required to carry out
a multiobjective optimization characterized by simultaneous conflicting
objectives, such as efficiency, reliability, and price, where
the best compromise solution should be found by the decision
maker among Pareto-optimal solutions. In this paper, a novel
design method for distributed maximum power point tracking
(DMPPT) synchronous boost converter is proposed. The method
is based on nondominated sorting genetic algorithm with the aim
to obtain the best synchronous rectification (SR) boost topology
while considering different targets such as converter efficiency
and reliability maximization, as well as converter price minimization.
New weighted indices are also proposed for a more realistic
characterization of the devices
MISSION Project: use cases definition for a Smart Energy Multi-vectors Microgrid
No full textItalian MISSION project aims to study, advanced integrated and smart multi-energy distribution systems to push the energy transition. In detail, architectures and logics implementation have to be defined for the optimized management of individual or integrated energy vectors (electrical, thermal, H2) microgrids with particular attention to interoperability, reliability and flexibility issues. This paper goal consists in defining different use cases in order to prepare and configure the ENEA Smart Energy multi-vectors Microgrid facilities. This study results mandatory to the successive project steps to identify strength points and criticalities to targets achievement. Furthermore, it could constitute a reference collection for research and regulatory activities
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