Search results for "Management system"

La filiera siciliana della pasta: un'applicazione della netchain analysis

2016

The system of Sicilian durum wheat is facing, as indeed is happening to the entire food system, the evolution of consumption patterns toward higher quality requirements: health-wise, primarily, but also including some intangible requirements. Recent acquisitions in the field of healthy food, have called attention to some specific characteristics of Sicilian durum wheat. The durum wheat sector represents a major landmark for regional agriculture, being by far the most widespread arable crop in Sicily; a crop that, over the past 30 years, has evolved considerably, due to the impact of EU regulations. Currently, the whole Sicilian cereal-pasta chain shows shortcomings in organization and size,…

Study, project and implementation of new metrics for distributed measurement system in medium voltage smart grid

2022

Mixed heuristic-non linear optimization of energy management for hydrogen storage-based multi carrier hubs

2014

In this paper, an heuristic and non-linear programming based algorithm to optimally operate an energy hub plant is proposed. The energy hub plant described in this work is the test system for the European INGRID research project. The Energy Management System defines the optimal energy flows dispatch in order to obtain the energy balance and the maximum profit for the owner of the plant. The problem is highly constrained and non-linear, for this reason the methodology cannot rely on Linear Programming (LP) methods. The Energy Management System manages two energy carriers, electricity and hydrogen, interfacing three distribution networks: the electricity, the hydrogen and the methane networks…

Analysis of operator human errors in hydrogen refuelling stations: Comparison between human rate assessment techniques

2013

Abstract The use of hydrogen as an energy carrier for road transport appears to be an optimal solution for the reduction of greenhouse gas emissions. Nevertheless, the development of this technology depends on the growth and diffusion of production, storage and refuelling infrastructures together with accurate risk analyses to appropriately design the safety and management systems used in these plants. Moreover, to improve safety standards, it is also important to focus attention on the estimation of hazards related to human factors, as this is one of the major causes leading to accidental events, especially in complex industrial technology. The paper reports a case study relevant to operat…

Innovative control logics for a rational utilization of electric loads and air-conditioning systems in a residential building

2015

The paper focuses on the evaluation of the impact on residential buildings of innovative control logics defined for a rational utilization of the electric loads and air-conditioning systems. The control logics are implementable thanks to a Decision Support and Energy Management Systems developed by the same authors and easily installable in new and still-existing houses. The paper shows how a significant reduction of the primary energy consumption can be obtained by controlling the air-conditioning units together with the other electric loads of the house. After having explained how the control logics operate, a simulation tool is described, developed for a preliminary evaluation of their e…

Software Defined Machine-to-Machine Communication for Smart Energy Management in Power Grids

2020

The successful realization of smart energy management relies on ubiquitous and reliable information exchange among millions of sensors and actuators deployed in the field with little or no human intervention. This motivates us to introduce a unified communication framework for smart energy management by exploring the integration of software-defined networking (SDN) with M2M communication. In this chapter, the overall design of the software-defined M2M (SD-M2M) framework is presented, with an emphasis on its technical contributions to cost reduction, fine granularity resource allocation, and end-to-end QoS guarantee. Then, a case study is conducted for a electric vehicle energy management sy…

Implementation of walk-through audits for designing energy management system: A first step towards an efficient campus

2020

Abstract The purpose of this study is to design a concept of energy management control system (EMCS) at the UNSADA campus, Jakarta, Indonesia by utilizing the results of the previous walkthrough audit. EMCS is an important first step by involving all parties on campus to be concerned the sustainable energy savings. The energy efficiency program utilizes the campus as an energy laboratory to identify, recommend, implement and evaluate the energy consumption, so that the expected energy efficiency targeted by the top managements can be achieved. This program is motivated by several reasons, such as; to support government policies in reducing dependence on fossil energy by implementing energy …

Domestic load forecasting using neural network and its use for missing data analysis

2015

Domestic demand prediction is very important for home energy management system and also for peak reduction in power system network. In this work, active and reactive power consumption prediction model is developed and analysed for a typical Southern Norwegian house for hourly power (active and reactive) consumptions and time information as inputs. In the proposed model, a neural network is adopted as a main technique and historical domestic load data of around 2 years are used as input. The available data has some measurement errors and missing segments. Before using the data for training purpose, missing and inaccurate data are considered and then it is used for testing the model. It is ob…

External parameters contribution in domestic load forecasting using neural network

2015

Domestic demand prediction is very important for home energy management system and also for peak reduction in the power system network. In this work, for precise prediction of power demand, external parameters, such as temperature and solar radiation, are considered and included in the prediction model for improving prediction performance. Power prediction models for coming hours' power demand estimation are built using neural network based on hourly power consumptions data with / without ambient temperature data and global solar irradiation (GSI) data respectively. In this work, a typical Southern Norwegian household demand has been considered. As a result, both ambient temperature and GSI…

A study on forecasting electricity production and consumption in smart cities and factories

2019

Abstract The electrical power sector must undergo a thorough metamorphosis to achieve the ambitious targets in greenhouse gas reduction set forth in the Paris Agreement of 2015. Reducing uncertainty about demand and, in case of renewable electricity generation, supply is important for the determination of spot electricity prices. In this work we propose and evaluate a context-based technique to anticipate the electricity production and consumption in buildings. We focus on a household with photovoltaics and energy storage system. We analyze the efficiency of Markov chains, stride predictors and also their combination into a hybrid predictor in modelling the evolution of electricity producti…