A5013825907- Energy Load and Power Forecasting
- Integrated Energy Systems Optimization
- Climate variability and models
- Meteorological Phenomena and Simulations
- Solar Radiation and Photovoltaics
- Water-Energy-Food Nexus Studies
- Power Systems and Technologies
- Neural Networks and Applications
- Atmospheric and Environmental Gas Dynamics
- Smart Grid Security and Resilience
- Smart Grid Energy Management
- Metaheuristic Optimization Algorithms Research
- Building Energy and Comfort Optimization
- Fuzzy Logic and Control Systems
- Hybrid Renewable Energy Systems
- Energy and Environment Impacts
- Cryospheric studies and observations
- Stock Market Forecasting Methods
- Air Quality Monitoring and Forecasting
- Advanced Control Systems Optimization
- Delphi Technique in Research
- Access Control and Trust
- demographic modeling and climate adaptation
- Privacy-Preserving Technologies in Data
- Hydrology and Watershed Management Studies
Joint Research Centre
2018-2023
European Commission
2019-2022
National Agency for New Technologies, Energy and Sustainable Economic Development
2013-2022
Climate Modelling Laboratory
2019
ENEA Casaccia Research Centre
2015
Roma Tre University
2007-2012
Environment Agency
2010-2012
Sapienza University of Rome
2009
The Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC) has adopted FAIR Guiding Principles. Atlas chapter Working Group I (WGI) is presented as a test case. Here, we describe application these principles in Atlas, challenges faced during its implementation, and those that remain for future. We present open source repository resulting from this process, which collects code (including annotated Jupyter notebooks), data provenance, some aggregated datasets...
Load Forecasting plays a critical role in the management, scheduling and dispatching operations power systems, it concerns prediction of energy demand different time spans. In future electric grids, to achieve greater control flexibility than actual reliable forecasting load could help avoid dispatch problems given by unexpected loads, give vital information make decisions on generation purchase, especially market-based dynamic pricing strategies. Furthermore, accurate would have significant...
Climate simulations consistently show an increase in European near-surface air temperature by the late 21st century, although projections for wind speeds and irradiance differ between models, are accompanied large natural variability. These factors make it difficult to estimate effects of physical climate change on power system planning. Here, impact future systems is estimated. We first time how a set divergent scenarios lead marked differences Europe's total energy balance...
Achieving carbon-neutrality is increasing the demand of renewable electricity which raising competition for land and associated acquisition costs. Installation floating photovoltaic (FPV) on existing hydropower reservoirs offers one solution to limited availability while providing solar electricity, leveraging water bodies, reducing evaporation losses. This work assesses potential output FPVs at regional national levels 337 in EU27 considering four scenarios two types floaters. Evaporation,...
The warm-temperate regions of the globe characterized by dry summers and wet winters (Mediterranean climate; MED) are especially vulnerable to climate change. potential impact on water resources, ecosystems human livelihood requires a detailed picture future changes in this unique zone. Here we apply probabilistic approach quantitatively address how why geographic distribution MED will change based latest-available projections for 21st century. Our analysis provides, first time, robust...
Photovoltaic (PV) power forecasting has the potential to mitigate some of effects resource variability caused by high solar penetration into electricity grid. Two main methods are currently used for PV generation forecast: (i) a deterministic approach that uses physics-based models requiring detailed plant information and (ii) data-driven based on statistical or stochastic machine learning techniques needing historical measurements. The goal this work is analyze accuracy these different...
The EC-Earth earth system model has been recently developed to include the dynamics of vegetation. In its original formulation, vegetation variability is simply operated by Leaf Area Index (LAI), which affects climate basically changing physiological resistance evapotranspiration. This coupling found have only a weak effect on surface modeled EC-Earth. reality, effective sub-grid fractional coverage will vary seasonally and at interannual time-scales in response leaf-canopy growth, phenology...
© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).Corresponding author: D. J. Brayshaw, d.j.brayshaw@reading.ac.uk
This study fills in knowledge gaps for the European air-conditioning (AC) market, which is fundamentally important to raising awareness about primary energy utilization. In contrast space heating (SH) and domestic hot water (DHW) preparation, Union (EU) AC market barely explored scientific literature. While focus of previous research has been on residential sector, a shortfall data services (wholesale retail, offices, education, health, hotels bars) exists. this paper, describing actual...
The development of successful climate services faces a number challenges, including the identification target audience and their needs requirements, effective communication complex information, through engagement with range stakeholders. This paper describes how these challenges were tackled during European Climatic Energy Mixes (ECEM) project, part Copernicus Climate Change Service (C3S), in order to deliver pre-operational, proof-of-concept service for renewable energy sector. process...
We demonstrate levels of skill for forecasts seasonal-mean wind speed and solar irradiance in Europe, using seasonal forecast systems available from the Copernicus Climate Change Service (C3S). While is patchy, there potential development climate services energy sector. Following previous studies, we show that, where skill, a simple linear regression-based method hindcast ensemble means provides straightforward approach producing calibrated probabilistic forecasts. This extends naturally to...
Abstract. The EU Copernicus Climate Change Service (C3S) European Climatic Energy Mixes (ECEM) has produced, in close collaboration with prospective users, a proof-of-concept climate service, or Demonstrator, designed to enable the energy industry and policy makers assess how well different supply mixes Europe will meet demand, over time horizons (from seasonal long-term decadal planning), focusing on role mixes. concept of C3S ECEM, its methodology some results are presented here. first...
While the European space‐heating market has been well researched for more than 20 years, there is still limited information concerning air‐conditioning (AC) branch. Owing to rising sensitivity of primary energy utilization, development space cooling (SC) sector fundamental importance. We apply Porter's five forces analysis, leading conclusion that a fairly steady rise approximately two decades (since 1990) characterizes AC market, and it will continue grow moderately. Research (R&D)...
Changes in snow and vegetation cover associated with global warming can modify surface albedo (the reflected amount of radiative energy from the sun), therefore modulating rise temperature that is primarily caused by anthropogenic greenhouse-gases emission. This introduces a series potential feedbacks to regional positive (negative) enhancing (reducing) increase augmenting (decreasing) absorption short-wave radiation. So far our knowledge on importance magnitude these has been hampered...