Wind energy potential in Liguria region

In this work, the aim is to assess the current wind energy potential in the Liguria region, Italy, by the application of well assessed methodologies that are recalled within the paper. Data for a monitored period up to six and half years from 25 stations distributed over the four provinces of Liguria (i.e., La Spezia, Genoa, Savona and Imperia) have been analyzed. From the data obtained on the 25 stations, only 4 of them seem to be eligible for energy production, but, due to other constraints such as environmental protected areas, only one of them seems the only one where the wind potential \u2013 which has been quite stable in the years \u2013 can be effectively exploited. However, as usual in these cases, also due to the complex orography of Liguria region, a monitoring campaign on the field should be additionally performed on the site

Optimal Planning with Technology Selection for Wind Power Plants in Power Distribution Networks

This paper proposes a comprehensive decision framework to optimally plan wind power plants (WPPs) with technology selection in the distribution network. The proposed framework aims to maximize the net present value (NPV) associated with the WPP investment over a given planning horizon for various bus locations. The proposed design accounts for various practical cost factors, historical data of wind speeds, and WPP installation restrictions due to territorial information, environmental considerations, and work constraints, in the decision making process of optimal planning and technology selection for WPP. The planning problem, which maximizes the NPV over the potential WPP installation locations, potential technologies, and the size of WPPs, is formulated as a constrained optimization problem. The proposed design is evaluated using case studies to test its concrete practices with a radial network of 33-bus distribution system

Towards a Concept of Cooperating Power Network for Energy Management and Control of Microgrids

This chapter provides an outline of the operation and control of smart microgrids as well demand-side management and demand response programs, in addition to energy market trading. Furthermore, the chapter introduces the concept of coordination and interconnection of a set of smart microgrids in a network, showing its benefits, advantages, and outcomes, and presents an overview of the mathematical modeling of the network and its features as well as a description of robust control methods adapted to optimally control the energy exchanges at the network level considering uncertainties of loads and energy production

Modelling and control of hydrogen and energy flows in a network of green hydrogen refuelling stations powered by mixed renewable energy systems

International audienceThe planning of a hydrogen infrastructure with production facilities, distribution chains, and refuelling stations is a hard task. Difficulties may rise essentially in the choice of the optimal configurations. An innovative design of hydrogen network has been proposed in this paper. It consists of a network of green hydrogen refuelling stations (GHRSs) and several production nodes. The proposed model has been formulated as a mathematical programming, where the main decisions are the selection of GHRSs that are powered by the production nodes based on distance and population density criteria, as well the energy and hydrogen flows exchanged among the system components from the production nodes to the demand points. The approaches and methodologies developed can be taken as a support to decision makers, stakeholders and local authorities in the implementation of new hydrogen infrastructures. Optimal configurations have been reported taking into account the presence of an additional hydrogen industrial market demand and a connection with the electrical network. The main challenge that has been treated within the paper is the technical feasibility of the hydrogen supply chain, that is mainly driven by uncertain, but clean solar and wind energy resources. Using a Northern Italian case study, the clean hydrogen produced can be technically considered feasible to supply a network of hydrogen refuelling stations. Results show that the demands are satisfied for each time period and for the market penetration scenarios adopte

Wind energy potential in Liguria region

In this work, the aim is to assess the current wind energy potential in the Liguria region, Italy, by the application of well assessed methodologies that are recalled within the paper. Data for a monitored period up to six and half years from 25 stations distributed over the four provinces of Liguria (i.e., La Spezia, Genoa, Savona and Imperia) have been analyzed. From the data obtained on the 25 stations, only 4 of them seem to be eligible for energy production, but, due to other constraints such as environmental protected areas, only one of them seems the only one where the wind potential - which has been quite stable in the years - can be effectively exploited. However, as usual in these cases, also due to the complex orography of Liguria region, a monitoring campaign on the field should be additionally performed on the site.

A regional decision support system for onsite renewable hydrogen production from solar and wind energy sources

Hydrogen technologies driven by renewable energy sources (RES) represent an attractive energy solution to ensure environmental sustainability. In this paper, a decision support system for the hydrogen exploitation is presented, focusing on some specific planning aspects. In particular, the planning aspects regard the selection of locations with high hydrogen production mainly based on the use of solar and wind energy sources. Four modules were considered namely, the evaluation of the wind and solar potentials, the analysis of the hydrogen potential, the development of a regional decision support module and a last module that regards the modelling of a hybrid onsite hydrogen production system. The overall approach was applied to a specific case study in Liguria region, in the north of Italy