Ricerc@Sapienza

High efficiency paradigms and rigorous normative standards for new and existing buildings are fundamental components of sustainability and energy transitions strategies today. However, optimistic assumptions and simplifications are often considered in the design phase and, even when detailed simulation tools are used, the validation of simulation results remains an issue. Further, empirical evidences indicate that the gap between predicted and measured performance can be quite large owing to different types of errors made in the building life cycle phases.

Pollution derived from transportation systems is a worldwide, timelier issue than ever. The abatement actions of harmful substances in the air are on the agenda and they are necessary today to safeguard our welfare and that of the planet. Environmental pollution in large cities is approximately 20% due to the transportation system. In addition, private traffic contributes greatly to city pollution. Further, “vehicle operating life” is most often exceeded and vehicle emissions do not comply with European antipollution standards.

We focus on the problem of managing the energy consumption of a cellular network tailored to cover rural and low-income areas. The considered architecture exploits Unmanned Aerial Vehicles (UAVs) to ensure wireless coverage, as well as Solar Panels (SPs) and batteries installed in a set of ground sites, which provide the energy required to recharge the UAVs. We then target the maximization of the energy stored in the UAVs and in the ground sites, by ensuring the coverage of the territory through the scheduling of the UAV missions over space and time.

Auxiliary-battery-based substations (ABSs) can enhance conventional railway feeder systems. In particular, ABSs make dc feeders located in areas far from the ac grid able to power high-performance passenger and freight trains and store their braking energy. This paper proposes a techno-economic method to define size, position along the track, and control parameters of an ABS, with the goal to minimize the annual cost of energy. Our approach takes into account the replacements of battery modules within the ABS's expected lifetime in order to reduce costs.

An energy management information system (EMIS) combines software, hardware, and data to support people in their efforts to manage energy at the process, system, facility, and enterprise level, year after year. A distributed measurement and monitoring system (DMS) is a fundamental part of an EMIS; it is constituted by the meters distributed in the switchboards of the power system. This article suggests a method of assessment of a DMS based on an indicator called level of coverage (LOC).

School buildings constitute an important part of the non-residential building stock, because students and teachers spend much time in these rooms. This paper presents a study of the energy performance in a school building in Rome. The analysis is aimed at calculating the energy requirement in accord with UNI TS 11300, comparing the results with dynamic analyses and the effective energy consumptions. This issue is very

The standards related to energy management emphasize the role of the measurement activity but no exhaustive guidelines have been published for outlining requirements and architecture of a comprehensive energy efficiency monitoring system that goes beyond a simple measuring system. A Monitoring System for Energy Efficiency should transform several kinds of energetic and context data into actionable pieces of information for controlling energy performance, improving operations and maintenance as well as verifying the effectiveness and the continuity of corrective actions.

Energy Efficiency is one of the cornerstones of European and International energy policy. Technical standardization can contribute to promote energy efficient technologies and solutions and ultimately to reach the targets of energy efficiency improvement and CO2 reduction. This paper provides an overview of the main existing technical standards in the domain of energy efficiency measurement and monitoring.

A novel energy management system (EMS) synthesis procedure based on adaptive neurofuzzy inference systems (ANFISs) by hyperplane clustering is investigated in this paper. In particular, since it is known that clustering input–output samples in hyperplane space does not consider clusters’ separability in the input space, a Min–Max classifier is applied to properly cut and update those hyperplanes defined on scattered clusters in order to refine the ANFIS membership functions.