Fabiano Pallonetto

• PhD Engineering
• Professor at National University of Ireland, Maynooth

Traditional retrofitting methods need a considerable upgrade; therefore, they often require significant time and financial investment, and can disrupt the building operations and occupant activities during implementation. Consequently, developing fast-response retrofitting solutions to save energy on urban and large scales is critical for city plan...

The healthcare industry has witnessed a transformative impact due to recent advancements in sensing technology, coupled with the Internet of Medical Things (IoMT)-based healthcare systems. Remote monitoring and informed decision-making have become possible by leveraging an integrated platform for efficient data analysis and processing, thereby opti...

The proliferation of electric vehicle (EV) adoption strains low-voltage distribution networks, particularly in aggregated charging scenarios, prompting utility companies to incentivize charging aggregators for optimizing load balancing within thermal limits. These aggregators utilize machine learning algorithms to understand electricity price signa...

University campuses can be considered as microcosms of urban districts, since they are typically located within or near a city and have a significant impact on the surrounding area. Moreover, they have a high energy consumption due to the large number of buildings, facilities, and services that use energy for transportation, heating, cooling, and l...

The 5-Methyluridine (m5U), predominantly present in RNA and especially enriched in transfer RNA (tRNA), significantly enhances translational accuracy and protein synthesis by ensuring precise genetic information decoding and optimal tRNA functionality within cellular mechanisms. The identification of m5U modification sites is crucial, as this modif...

This paper addresses the challenge of assessing uncertainty in energy flexibility predictions, which is a significant open question in the energy flexibility assessment field. To address this challenge, a methodology that quantifies the flexibility of multiple thermal and electrical systems is developed using appropriate indicators and considers th...

The charging of electric vehicles (EVs) at residential premises is orchestrated through either centralized or decentralized control mechanisms. The former emphasizes adherence to power grid constraints, employing demand management techniques to restrict EV charging when the aggregated demand exceeds a predetermined threshold, which may result in us...

Despite the potential for artificial intelligence (AI)‐enabled technologies in healthcare, their benefits are limited owing to the numerous challenges of cognitive engagement. This research paper explores the factors of “cognitive engagement with AI‐enabled technologies” and its impact on the customers' benefits and value creation. A mixed‐method s...

More than half of the world population live in urban settlements which are responsible for a large share of energy consumption and, consequently, carbon emissions. The transition towards a more sustainable urban environment requires a change in paradigm in terms of how we design and manage our cities. Urban areas require innovative technologies and...

The electric vehicles (EVs) charging stations (CSs) at public premises have higher installation and power consumption costs. The potential benefits of public CSs rely on their efficient utilization. However, the conventional charging methods obligate a long waiting time and thereby deteriorate their efficiency with low utilization. This paper sugge...

Energy flexibility, through short-term demand-side management (DSM) and energy storage technologies, is now seen as a major key to balancing the fluctuating supply in different energy grids with the energy demand of buildings. This is especially important when considering the intermittent nature of ever-growing renewable energy production, as well...

The transport sector is the second most important source of emissions in the EU. It is paramount to act now towards the decarbonisation of our transport system to mitigate climate change effects. Waiting for future technological advancements to minimise the existing anthropogenic emissions and dramatically boost its sustainability is risky for huma...

Energy flexibility, through short-term demand-side management (DSM) and energy storage technologies, is now seen as a major key to balancing the fluctuating supply in different energy grids with the energy demand of buildings. This is especially important when considering the intermittent nature of ever-growing renewable energy production, as well...

Energy security assessment quantifies the energy supply to a population and the likelihood, or risk, of an energy disruption or shortage and represents an important aspect of national security, economic stability and prosperity. The quantification of the state of energy supply is context-dependent and involves multiple perspectives: infrastructural...

A key issue in energy flexibility assessment is the lack of a scalable practicable approach to quantify and characterise the flexibility of individual residential buildings from an integrated energy system perspective without the need to use complex simulation models. In this study, this problem is addressed by explicitly quantifying the flexibilit...

The Spine Toolbox is open-source software for defining, managing, simulating and optimising energy system models. It gives the user the ability to collect, create, organise, and validate model input data, execute a model with selected data and finally archive and visualise results/output data. Spine Toolbox has been designed and developed to suppor...

Accurately forecasting electricity load have great impact on a number of departments in power systems. Compared to electricity load simulation (white-box model), electricity load forecasting (black-box model) does not require expertise in building construction. The development cycle of the electricity load forecasting model is much shorter than the...

The global electric car sales in 2020 continued to exceed the expectations climbing to over 3 millions and reaching a market share of over 4%. However, uncertainty of generation caused by higher penetration of renewable energies and the advent of Electrical Vehicles (EV) with their additional electricity demand could cause strains to the power syst...

The present paper investigates the impact of advanced control algorithms on harnessing building energy flexibility in a smart-grid ready full-electric residential building. The impact on thermal comfort is also analysed. The building is located in Ireland and is equipped with a geothermal heat pump and a thermal energy storage system. Two Energy Ma...

To date, the energy flexibility assessment of multicomponent electrical and thermal systems in residential buildings is hindered by the lack of adequate indicators due to the different interpretations, properties, and requirements that characterise an energy flexible building. This paper addresses this knowledge gap by presenting a fundamental ener...

The work in this report is carried out under the Work Package three (WP3) ‘The state of R&I (Research and Innovation), standardisation and regulation’ of the Pan European Technology Energy Research Approach (PANTERA) project. This deliverable aims at reviewing Regulations, Codes and Standards (RCS) in the Smart Grid domain that will form valuable c...

The Insights Series has been developed to highlight key findings arising from Energy Systems Integration Partnership Programme (ESIPP) research in decarbonised energy systems. These publications share new insights into various aspects of energy decarbonisation that have been gained from a multidisciplinary team of researchers in ESIPP from institut...

The present paper investigates the energy savings associated with the implementation of retrofitting measures on Irish residential buildings. A detached residential dwelling, representative of approximately 40% of the residential stock in Ireland, was selected as experimental test bed. The building was progressively retrofitted to an all-electric d...

The ability to control and optimise energy consumption at end-user level is of increasing interest as a means to achieve a balance between supply and demand, particularly when large penetration of distributed renewable energy sources is being considered. Demand Response programs consist of a series of externally-driven control strategies aimed at a...

Demand response can enable residential consumers to take advantage of control signals and/or financial incentives to adjust the use of their resources at strategic times. These resources usually refer to energy consumption, locally distributed electricity generation, and energy storage. The building structural mass has an inherent potential either...

The improvement commercial competitiveness of private electric vehicles supported by the European policy for the decarbonisation of transport and with the consumers awareness-raising about CO2 emissions and climate change, are driving the increase of electric vehicles on the roads. Therefore, public charging networks are facing the challenge of sup...

lthough cities occupy just a small percentage of land, they account to consume more than 75% of natural resources, and they are responsible for up to 80% of carbon emission. Decarbonisation of cities is a priority to address climate change and the rapid growth of human population. Supporting a sustainable living environment provides opportunities t...

This paper provides the research plan focusing in the application of self-learning techniques for energy systems integration in the residential building sector. Demand response (DR) is becoming increasingly important in the evolution of the power grid since demand no longer necessarily determines system supply but is now more closely constrained by...

This paper describes an open source smart grid software infrastructure for co-simulation between cloud-based energy management systems and a building energy model. The core component of the infrastructure is an API, which provides a protocol abstraction as a decoupling mechanism between the control algorithms and the building, thereby facilitating...

This paper assesses the performance of control algorithms for the implementation of demand response strategies in the residential sector. A typical house, representing the most common building category in Ireland, was fully instrumented and utilised as a test-bed. A calibrated building simulation model was developed and used to assess the effective...

The SlideWiki platform is fostering open education by supporting the collaborative authoring, sharing, reusing and remixing of open educational content online. This paper presents the lessons learned from piloting the SlideWiki platform in different learning contexts and scenarios. In particular, we describe the learning scenarios considered in eac...

Developing BEPS models which predict energy usage to a high degree of accuracy can be extremely time consuming. As a result, assumptions are often made regarding the input data required. Making these assumptions without introducing a significant amount of uncertainty to the model can be difficult, and requires experience. Even so, rules of thumb fr...

We propose a Genetic Algorithm (GA) to address a Green Vehicle Routing Problem (G-VRP). Unlike classic formulations of the VRP, this study aims to minimise the CO2 emissions per route. The G-VRP is of interest to policy makers who wish to reduce greenhouse gas emissions. The GA is tested on a suite of benchmark, and real-world instances which inclu...

We propose a Genetic Algorithm (GA) to address the Green Vehicle Routing Problem (G-VRP). Unlike classic formulations of the VRP, this study aims to minimise the CO2 emissions per route. The GA is tested on a suite of real-world and benchmark instances. Solutions are compared with routes that are currently used by drivers in a courier company. The...

The paper is concerned with the development and evaluation of control algorithms for the implementation of demand response strategies in a smart-grid enabled all-electric residential building. The dwelling is equipped with a 12 kW heat pump, a 0.8m3 water storage tank, a 6 kW photovoltaic (PV) array, solar thermal collectors for domestic hot water...

Achieving improved energy efficiency for future buildings is a well established imperative under European legislation. However, parallel evolutions in the energy supply side are anticipated to have a similarly significant impact of how the buildings should behave from an energy point of view in the future. Particularly, the growing penetration of r...

A bottom-up approach is developed for the specification of operational data with a high spacetime resolution, to be used as inputs in multi-zone residential building models. These archetype models will be used to analyse demand modulation of total domestic electricity consumption, thus requiring a detailed knowledge of domestic loads. The approach...

The current paper is concerned with a case study of a residential house, located in Ireland, which has been recently retrofitted from a conventional mixed fuel dwelling to a smart grid enabled all-electric dwelling. The aim of the specific case study is to examine the impact on the building retrofit measures on the dwelling carbon footprint, pre- a...