1,314 research outputs found
Optimal Planning of Door-to-Door Multiple Materials Separated Waste Collection
No full textSeparated collection is an important part of waste management, because it allows material recovery. In order to organize separate collection operations, complex decisions need to be taken on the basis of a large amount of data. In this paper, the problem of planning the door-to-door waste collection of multiple materials for a municipality is considered. A few contributions are available in the literature for this problem. A new mixed integer linear programming model is formalized and solved. A multiobjective optimization model is proposed, aiming at minimizing both operational costs and possible inefficiencies of the recycling logistic system causing negative environmental impacts. The model is applied to a real case study and a mixed integer programming heuristic algorithm is used for its solution. The obtained results are discussed and conclusions are drawn
Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids
No full textIn this paper, we deal with the problem of nowcasting and forecasting the photovoltaic power production (PvPP) on the basis of real data available for the Savona Campus and coming from the energy management systems (EMSs) of the smart polygeneration microgrid that feeds buildings in the University area. In this paper, we show how PvPP nowcast and forecast problems can be solved with the state-of-the-art data-driven techniques, which use the historical data collected by the EMS. In particular, we compare the performance of the kernelized regularized least squares, the extreme learning machines, and the random forests. In the machine learning field, these algorithms are the best choice in three different families of techniques: kernel methods, neural networks, and ensemble methods. Results show that our proposal can improve of almost one order of magnitude to the actual prediction system used in the EMS of the Savona Campus, which is based on the knowledge of the physical problem. Finally, by using the EMS installed at the Savona Campus, it has been possible to quantify the saving in costs and CO 2 emissions due to the new nowcasting and forecasting models
A dynamic optimization model for solid waste recycling
No full textRecycling is an important part of waste management (that includes different kinds of issues: environmental, technological, economic, legislative, social, etc.). Differently from many works in literature, this paper is focused on recycling management and on the dynamic optimization of materials collection. The developed dynamic decision model is characterized by state variables, corresponding to the quantity of waste in each bin per each day, and control variables determining the quantity of material that is collected in the area each day and the routes for collecting vehicles. The objective function minimizes the sum of costs minus benefits. The developed decision model is integrated in a GIS-based Decision Support System (DSS). A case study related to the Cogoleto Municipality is presented to show the effectiveness of the proposed model. From optimal results, it has been found that the net benefits of the optimized collection are about 2.5 times greater than the estimated current policy
An optimal dynamic decision model for forest biomass exploitation
No full textA decision support system for forest biomass exploitation for energy supply is presented. The system allows supporting decisions on a finite time horizon, concerning the localization, sizing, and setting of a number of biomass-to-energy conversion plants in a small-medium region. The system is based on the formalization of an optimal decision problem stated with reference to a dynamic biomass model. In the proposed approach, geographic information system based techniques are integrated with mathematical programming methods yielding a comprehensive system which allows formalizing the problem, taking decisions, and evaluating their effects. The application to a real case study is considered
A dynamic model for recycling: optimization of solid waste separate collection
No full textRecycling is an important part of waste management (that includes different kinds of issues: environmental, technological, economic, legislative, social, etc.). In this work, differently from many works in literature, attention is focused on recycling management and on the dynamic optimization of materials collection. The developed dynamic decision model is characterized by state variables, corresponding to the quantity of biomass in each container per each day, and control variables determining the quantity of material that is collected in the area each day and the routes to be followed. The developed decision model is integrated in a GIS-based Decision Support System that allows calculating daily waste generation
Correction to: When terminology hinders research: the colloquialisms of transitions of control in automated driving (Cognition, Technology & Work, (2022), 10.1007/s10111-022-00705-3)
No full textIn the original article, author affiliation published with error. The correct affiliations are: Davide Maggi—Institute for Transport Studies, Leeds, UK. Richard Romano—Institute for Transport Studies, Leeds, UK. Oliver Carsten—Institute for Transport Studies, Leeds, UK. Joost C. F. De Winter—Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands. The original article has been corrected.Human-Robot Interactio
Physics Informed Data Driven Techniques for Power Flow Analysis
No full textThe last decade has seen significant changes in the power grid complexity due to the increased integration of multiple heterogeneous distributed energy resources. Accurate and fast power flow analysis tools have then become essential to guarantee grid stability, reliable operation, strategic planning, and market strategies. State-of-the-art approaches to power flow analysis are based on iterative numerical techniques which exhibit high accuracy but slow-, or even no-, convergence. For this reason, researchers have investigated the use of data-driven techniques that, while exhibiting lower accuracy with respect to iterative numerical ones, have the advantage of being extremely fast. To address the lack of accuracy, physics-informed data-driven techniques, i.e., techniques that leverage both the data and domain knowledge to generate simultaneously fast and accurate models, have been proposed. Nevertheless, these works exhibit two main limitations: i) they do not fully leverage the physical knowledge, and ii) they do not fairly compare the different approaches. In this paper, we propose a novel physics informed data-driven model able to address both limitations by fully leveraging the physical knowledge into the data-driven, i.e., constraining the model and augmenting the available data, and proposing a framework able to fairly compare the different approaches proving the actual effectiveness of the proposal. Results on the IEEE 57 realistic power network will support the proposal
A Model of an Interregional Logistic System for the Statement and Solution of Decision Problems at the Operational Level
No full textA regional/multi-regional logistic traffic network is considered in this paper with the aim of optimizing the flows of goods which pass through the network in order to reach their final destinations. The logistic network takes into account both road and rail transportation, and it is modelled as a directed graph whose arcs represent a road or a rail link and whose nodes are not only connection points but can represent a place where some service activities (such as the change in transportation mode) are carried out. In the paper, the model of the logistic network and, in particular, the equations which formalize the dynamics of links and nodes, are described in detail. In addition, with reference to decision problems at operational level, some considerations about the degrees of freedom (decision variables) in the model, the kind and the role of decision makers, and the class of performance indicators are also outlined in the paper
Chemical, structural and mechanistic aspects on NOx SCR over commercial and model oxide catalysts
No full textThe present paper provides a critical survey of the most recent and relevant data obtained in our laboratories on the characterization of the catalyst bulk and surface structure and on the identification of the details of the reaction mechanism over commercial and model V2O5-WO3/TiO2 catalysts. In particular, the following aspects have been specifically addressed: i) the nature of the adsorbed ammonia species present on the catalyst surface; ii) their role and reactivity in the SCR reaction; iii) the role of the V, W and Ti components in the reaction mechanism and on the catalyst reactivity
Admiel Kosman, Siamo giunti a Dio
No full textInternational audienceSix poems from Israeli poet Admiel Kosman translated from the Hebrew into Italian. Selection of poems, presentation of the author, translation and notes by Davide Mano
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