This page has only limited features, please log in for full access.

Dr. Cristina Cornaro
University of Rome 'Tor Vergata'

Basic Info


Research Keywords & Expertise

0 Solar Energy
0 Energy and Buildings
0 Photovoltaic power generation forecast
0 Building energy performance
0 Photovoltaic energy

Fingerprints

Energy and Buildings
Solar Energy
Building energy performance
Photovoltaic power generation forecast
Photovoltaic energy

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 08 February 2021 in Building and Environment
Reads 0
Downloads 0

The hygrothermal modelling of historical churches is a promising approach to study preservation issues and suitable retrofit measures. However, difficulties can arise in the use of Heat, Air and Moisture (HAM) models, which are often customised objects to be integrated into validated building energy simulation (BES). This research outlines a multi-step methodology to investigate the capability of a BES software coupled with a HAM model (BES + HAM) as a technique for diagnostics and conservation in complex settings. The 17th-century church of Santa Rosalia (Italy) was used as a historical site in a real context. As first step, the performance of the simulation tool was analysed through standardised exercises aiming at excluding incorrect assumptions and calculations in the HAM model (HMWall). Secondly, a building model of the church using a 1D heat transfer model (named building model A) was compared with one using HMWall (named building model B) in terms of the accuracy of the indoor climate simulations against hygrothermal measurements. The results showed that building model B enhanced the simulation accuracy by +50% with respect to building model A. Finally, annual simulations inside the church were run to further compare the seasonal trends of indoor climate scenario obtained from the two building models. Building model B allowed to study the water content distribution inside the altarpiece and a wall partition, showing that BES + HAM tools can be used to identify potential moisture-induced conservation risks.

ACS Style

Francesca Frasca; Elena Verticchio; Cristina Cornaro; Anna Maria Siani. Performance assessment of hygrothermal modelling for diagnostics and conservation in an Italian historical church. Building and Environment 2021, 193, 107672 .

AMA Style

Francesca Frasca, Elena Verticchio, Cristina Cornaro, Anna Maria Siani. Performance assessment of hygrothermal modelling for diagnostics and conservation in an Italian historical church. Building and Environment. 2021; 193 ():107672.

Chicago/Turabian Style

Francesca Frasca; Elena Verticchio; Cristina Cornaro; Anna Maria Siani. 2021. "Performance assessment of hygrothermal modelling for diagnostics and conservation in an Italian historical church." Building and Environment 193, no. : 107672.

Journal article
Published: 06 January 2021 in Renewable Energy
Reads 0
Downloads 0

This work describes a progressive strategy to achieve 100% penetration of intermittent renewables at minimal cost. The strategy works to optimally transform variable renewable energy (RE) into firm, effectively dispatchable generation. This functional dispatchability enables large-scale displacement of conventional generation at equal or lower production cost. By way of this strategy, we delineate a pathway for a full renewable energy transition of the Italian electric mix. In order to achieve 100% renewables in any grid, the fundamental imbalance between the supply of the resource and demand must be alleviated. We propose a transition that starts by addressing net load forecast imbalances resulting from renewables’ prediction errors and ends with the transformation of intermittent renewables into firm, effectively dispatchable generation sources.

ACS Style

Marco Pierro; Richard Perez; Marc Perez; Matteo Giacomo Prina; David Moser; Cristina Cornaro. Italian protocol for massive solar integration: From solar imbalance regulation to firm 24/365 solar generation. Renewable Energy 2021, 169, 425 -436.

AMA Style

Marco Pierro, Richard Perez, Marc Perez, Matteo Giacomo Prina, David Moser, Cristina Cornaro. Italian protocol for massive solar integration: From solar imbalance regulation to firm 24/365 solar generation. Renewable Energy. 2021; 169 ():425-436.

Chicago/Turabian Style

Marco Pierro; Richard Perez; Marc Perez; Matteo Giacomo Prina; David Moser; Cristina Cornaro. 2021. "Italian protocol for massive solar integration: From solar imbalance regulation to firm 24/365 solar generation." Renewable Energy 169, no. : 425-436.

Journal article
Published: 31 August 2020 in Energies
Reads 0
Downloads 0

We introduce firm solar forecasts as a strategy to operate optimally overbuilt solar power plants in conjunction with optimally sized storage systems so as to make up for any power prediction errors, and hence entirely remove load balancing uncertainty emanating from grid-connected solar fleets. A central part of this strategy is the plant overbuilding that we term implicit storage. We show that strategy, while economically justifiable on its own account, is an effective entry step to achieving least-cost ultra-high solar penetration where firm power generation will be a prerequisite. We demonstrate that in the absence of an implicit storage strategy, ultra-high solar penetration would be vastly more expensive. Using the New York Independent System Operator (NYISO) as a case study, we determine current and future costs of firm forecasts for a comprehensive set of scenarios in each ISO electrical region, comparing centralized vs. decentralized production and assessing load flexibility’s impact. We simulate the growth of the strategy from firm forecast to firm power generation. We conclude that ultra-high solar penetration enabled by the present strategy, whereby solar would firmly supply the entire NYISO load, could be achieved locally at electricity production costs comparable to current NYISO wholesale market prices.

ACS Style

Richard Perez; Marc Perez; James Schlemmer; John Dise; Thomas E. Hoff; Agata Swierc; Patrick Keelin; Marco Pierro; Cristina Cornaro. From Firm Solar Power Forecasts to Firm Solar Power Generation an Effective Path to Ultra-High Renewable Penetration a New York Case Study. Energies 2020, 13, 4489 .

AMA Style

Richard Perez, Marc Perez, James Schlemmer, John Dise, Thomas E. Hoff, Agata Swierc, Patrick Keelin, Marco Pierro, Cristina Cornaro. From Firm Solar Power Forecasts to Firm Solar Power Generation an Effective Path to Ultra-High Renewable Penetration a New York Case Study. Energies. 2020; 13 (17):4489.

Chicago/Turabian Style

Richard Perez; Marc Perez; James Schlemmer; John Dise; Thomas E. Hoff; Agata Swierc; Patrick Keelin; Marco Pierro; Cristina Cornaro. 2020. "From Firm Solar Power Forecasts to Firm Solar Power Generation an Effective Path to Ultra-High Renewable Penetration a New York Case Study." Energies 13, no. 17: 4489.

Journal article
Published: 01 August 2020 in Energies
Reads 0
Downloads 0

One of the major problem of photovoltaic grid integration is limiting the solar-induced imbalances since these can undermine the security and stability of the electrical system. Improving the forecast accuracy of photovoltaic generation is becoming essential to allow a massive solar penetration. In particular, improving the forecast accuracy of large solar farms’ generation is important both for the producers/traders to minimize the imbalance costs and for the transmission system operators to ensure stability. In this article, we provide a benchmark for the day-ahead forecast accuracy of utility scale photovoltaic (PV) plants in 1325 locations spanning the country of Italy. We then use these benchmarked forecasts and real energy prices to compute the economic value of the forecast accuracy and accuracy improvement in the context of the Italian energy market’s regulatory framework. Through this study, we further point out several important criticisms of the Italian “single pricing” system that brings paradoxical and counterproductive effects regarding the need to reduce the imbalance volumes. Finally, we propose a new market-pricing rule and innovative actions to overcome the undesired effects of the current dispatching regulations.

ACS Style

Marco Pierro; David Moser; Richard Perez; Cristina Cornaro. The Value of PV Power Forecast and the Paradox of the “Single Pricing” Scheme: The Italian Case Study. Energies 2020, 13, 3945 .

AMA Style

Marco Pierro, David Moser, Richard Perez, Cristina Cornaro. The Value of PV Power Forecast and the Paradox of the “Single Pricing” Scheme: The Italian Case Study. Energies. 2020; 13 (15):3945.

Chicago/Turabian Style

Marco Pierro; David Moser; Richard Perez; Cristina Cornaro. 2020. "The Value of PV Power Forecast and the Paradox of the “Single Pricing” Scheme: The Italian Case Study." Energies 13, no. 15: 3945.

Preprint
Published: 07 July 2020
Reads 0
Downloads 0

One of the major problem of photovoltaic grid integration is limiting the solar-induced imbalances since these can undermine the security and stability of the electrical system. Improving the forecast accuracy of photovoltaic generation is becoming essential to allow a massive solar penetration. In particular, improving the forecast accuracy of large solar farms generation is important both for the producers/traders to minimize the imbalance costs and for the Transmission System Operators to insure stability. In this article, we provide a benchmark for the day-ahead forecast accuracy of utility scale PV plants in 1325 locations spanning the country of Italy. We then use these benchmarked forecasts and real energy prices to compute the economic value of forecast accuracy and accuracy improvement in the context of the Italian energy market regulatory framework. Through this study, we further point out some several important criticisms of the Italian “single pricing” system that brings to paradoxical and counterproductive effects regarding the need to reduce the imbalance volumes. Finally, we propose a new market-pricing rule and innovative actions to overcome these undesired effects of the current dispatching regulations.

ACS Style

Marco Pierro; David Moser; Richard Perez; Cristina Cornaro. The Value of PV Power Forecast and the Paradox of the “Single Pricing” Scheme: The Italian Case Study. 2020, 1 .

AMA Style

Marco Pierro, David Moser, Richard Perez, Cristina Cornaro. The Value of PV Power Forecast and the Paradox of the “Single Pricing” Scheme: The Italian Case Study. . 2020; ():1.

Chicago/Turabian Style

Marco Pierro; David Moser; Richard Perez; Cristina Cornaro. 2020. "The Value of PV Power Forecast and the Paradox of the “Single Pricing” Scheme: The Italian Case Study." , no. : 1.

Preprint
Published: 05 July 2020
Reads 0
Downloads 0

We introduce firm solar forecasts as a strategy to operate optimally overbuilt solar power plants in conjunction with optimally sized storage systems so as to make up for any power prediction errors, hence entirely remove load balancing uncertainty emanating from grid-connected solar fleets. A central part of this strategy is plant overbuilding that we term implicit storage. We show that strategy, while economically justifiable on its own account, is an effective entry step to least-cost ultra-high solar penetration where firm power generation will be a prerequisite. We demonstrate that in absence of an implicit storage strategy, ultra-high solar penetration would be vastly more expensive. Using the New York Independent System Operator (NYISO) as a case study, we determine current and future cost of firm forecasts for a comprehensive set of scenarios in each ISO electrical region, comparing centralized vs. decentralized production and assessing load flexibility’s impact. We simulate the growth of the strategy from firm forecast to firm power generation. We conclude that ultra-high solar penetration enabled by the present strategy, whereby solar would firmly supply the entire NYISO load, could be achieved locally at electricity production costs comparable to current NYISO wholesale market prices.

ACS Style

Richard Perez; Marc Perez; Sergey Kivalov; James Schlemmer; John Dise; Thomas E. Hoff; Agata Swierc; Patrick Keelin; Marco Pierro; Cristina Cornaro. From Firm Solar Power Forecasts to Firm Solar Power Generation: An Effective Path to Ultra-High Renewable Penetration - A New York Case Study. 2020, 1 .

AMA Style

Richard Perez, Marc Perez, Sergey Kivalov, James Schlemmer, John Dise, Thomas E. Hoff, Agata Swierc, Patrick Keelin, Marco Pierro, Cristina Cornaro. From Firm Solar Power Forecasts to Firm Solar Power Generation: An Effective Path to Ultra-High Renewable Penetration - A New York Case Study. . 2020; ():1.

Chicago/Turabian Style

Richard Perez; Marc Perez; Sergey Kivalov; James Schlemmer; John Dise; Thomas E. Hoff; Agata Swierc; Patrick Keelin; Marco Pierro; Cristina Cornaro. 2020. "From Firm Solar Power Forecasts to Firm Solar Power Generation: An Effective Path to Ultra-High Renewable Penetration - A New York Case Study." , no. : 1.

Editorial
Published: 21 April 2020 in Applied Sciences
Reads 0
Downloads 0

The main topics of this Special Issue regard energy efficiency in buildings and the use of innovative materials for design and retrofitting to pursue this goal

ACS Style

Cristina Cornaro; Cinzia Buratti. Energy Efficiency in Buildings and Innovative Materials for Building Construction. Applied Sciences 2020, 10, 2866 .

AMA Style

Cristina Cornaro, Cinzia Buratti. Energy Efficiency in Buildings and Innovative Materials for Building Construction. Applied Sciences. 2020; 10 (8):2866.

Chicago/Turabian Style

Cristina Cornaro; Cinzia Buratti. 2020. "Energy Efficiency in Buildings and Innovative Materials for Building Construction." Applied Sciences 10, no. 8: 2866.

Journal article
Published: 01 February 2020 in Renewable Energy
Reads 0
Downloads 0

This article proposes two strategies for the mitigation of power imbalances and related costs resulting from increasing PV penetration onto the Italian grid. New “state of the art” solar and netload day ahead forecast models were developed and applied to real data. These strategies consist of: (1) Improving the accuracy of PV and net load power forecast and enlarging the footprint of the controlled grid area; (2) Transforming unconstrained PV plants into “flexible PV plants”: remotely controlled PV plants that can be proactively curtailed and work with cost-optimized Battery Energy Storage Systems. We demonstrate that the first strategy can effectively limit the imbalance impact when integrating a large share of PV generation, reducing imbalance volumes and costs, both at current and future solar penetration levels. We further demonstrate that the second strategy can entirely eliminate the imbalance impact of PV penetration, hence providing operational certainty to the TSO. Indeed, we show how flexible PV plants can be cost-optimally sized to set the imbalance volume at a desired target value regardless of PV installed capacity, hence allowing massive solar penetration. Finally, we show that the cost of implementing these strategies is less than the current cost of handling such imbalance impacts.

ACS Style

Marco Pierro; Richard Perez; Marc Perez; David Moser; Cristina Cornaro. Italian protocol for massive solar integration: Imbalance mitigation strategies. Renewable Energy 2020, 153, 725 -739.

AMA Style

Marco Pierro, Richard Perez, Marc Perez, David Moser, Cristina Cornaro. Italian protocol for massive solar integration: Imbalance mitigation strategies. Renewable Energy. 2020; 153 ():725-739.

Chicago/Turabian Style

Marco Pierro; Richard Perez; Marc Perez; David Moser; Cristina Cornaro. 2020. "Italian protocol for massive solar integration: Imbalance mitigation strategies." Renewable Energy 153, no. : 725-739.

Journal article
Published: 16 December 2019 in Renewable Energy
Reads 0
Downloads 0

Distributed generation from wind and solar acts on regional electric demand as a reduced consumption, giving rise to a “load shadowing effect”. The net load becomes much more difficult to predict due to its dependence on the meteorological conditions. As a consequence, the growing penetration of variable generation increases the imbalance between demand and scheduled supply (net load forecast) and the reserve margins (net load uncertainty). The aim of this work is to quantify the benefit of the use of advanced probabilistic approaches rather than a traditional time-series method to assess the day-ahead reserves. For this purpose, several methods for load and net load uncertainty assessment have been developed and applied to a real case study considering also future solar penetration scenarios. The results show that, when forecasting only the load both traditional and probabilistic methods exhibit similar accuracy. Instead, in the case of net load prediction, i.e. when solar power is present, the probabilistic forecast can effectively limit the reserve margin needed to arrange the imbalance between residual demand and supply. The developed probabilistic approach provides a notable reduction of the Following Reserve which increases with the solar penetration: from 32.5% to 68.3% at 7% and 45% of penetration.

ACS Style

Marco Pierro; Matteo De Felice; Enrico Maggioni; David Moser; Alessandro Perotto; Francesco Spada; Cristina Cornaro. Residual load probabilistic forecast for reserve assessment: A real case study. Renewable Energy 2019, 149, 508 -522.

AMA Style

Marco Pierro, Matteo De Felice, Enrico Maggioni, David Moser, Alessandro Perotto, Francesco Spada, Cristina Cornaro. Residual load probabilistic forecast for reserve assessment: A real case study. Renewable Energy. 2019; 149 ():508-522.

Chicago/Turabian Style

Marco Pierro; Matteo De Felice; Enrico Maggioni; David Moser; Alessandro Perotto; Francesco Spada; Cristina Cornaro. 2019. "Residual load probabilistic forecast for reserve assessment: A real case study." Renewable Energy 149, no. : 508-522.

Journal article
Published: 25 November 2019 in Energy and Buildings
Reads 0
Downloads 0

Natural materials, such as straw bale and earth, have substantially less embodied energy than processed materials, so that their use in building construction can give a valuable contribution to sustainability. This paper presents a natural multi-sheet wall package (named straw wall, SW) consisting of straw bale layer and innovative natural plasters, giving a rational evaluation of its potential of use in the sustainable building construction. The new building component was investigated by analyzing its environmental impact through the Life Cycle Assessment (LCA) from “Cradle to Gate” and its energy performance using dynamic simulation of a building case study; the energy saving potential of SW was assessed in different climate conditions in Italy. The innovative package highlighted excellent energy performance with respect to the NZEB reference, as prescribed by the Italian regulation, for all climates. Considering only the production and construction phases, the Embodied Energy associated to the innovative wall system is about the half of the value related to a traditional wall package and the CO2 equivalent emissions differ by more than 40%(Pescara site).

ACS Style

C. Cornaro; V. Zanella; P. Robazza; E. Belloni; C. Buratti. An innovative straw bale wall package for sustainable buildings: experimental characterization, energy and environmental performance assessment. Energy and Buildings 2019, 208, 109636 .

AMA Style

C. Cornaro, V. Zanella, P. Robazza, E. Belloni, C. Buratti. An innovative straw bale wall package for sustainable buildings: experimental characterization, energy and environmental performance assessment. Energy and Buildings. 2019; 208 ():109636.

Chicago/Turabian Style

C. Cornaro; V. Zanella; P. Robazza; E. Belloni; C. Buratti. 2019. "An innovative straw bale wall package for sustainable buildings: experimental characterization, energy and environmental performance assessment." Energy and Buildings 208, no. : 109636.

Original articles
Published: 06 September 2019 in Science and Technology for the Built Environment
Reads 0
Downloads 0

This paper proposes a multidisciplinary method to provide improved conservation strategy and thermal comfort for visitors in historical buildings. The method combines microclimate observations along with the dynamic simulation of the building and an empirical evaluation of the degradation of hygrosocopic artifacts. It was applied to a historic building in Priverno (Italy) where cracks along the tangential direction in valuable wooden ceilings were observed. The method produced an identification strategy for temperature control that, if applied, would reduce the total size of cracks from 0.25 mm to 0.10 mm.

ACS Style

Francesca Frasca; Cristina Cornaro; Anna Maria Siani. A method based on environmental monitoring and building dynamic simulation to assess indoor climate control strategies in the preventive conservation within historical buildings. Science and Technology for the Built Environment 2019, 25, 1253 -1268.

AMA Style

Francesca Frasca, Cristina Cornaro, Anna Maria Siani. A method based on environmental monitoring and building dynamic simulation to assess indoor climate control strategies in the preventive conservation within historical buildings. Science and Technology for the Built Environment. 2019; 25 (9):1253-1268.

Chicago/Turabian Style

Francesca Frasca; Cristina Cornaro; Anna Maria Siani. 2019. "A method based on environmental monitoring and building dynamic simulation to assess indoor climate control strategies in the preventive conservation within historical buildings." Science and Technology for the Built Environment 25, no. 9: 1253-1268.

Journal article
Published: 15 May 2019 in Applied Sciences
Reads 0
Downloads 0

Energy reduction can benefit from the improvement of energy efficiency in buildings. For this purpose, simulation models can be used both as diagnostic and prognostic tools, reproducing the behaviour of the real building as accurately as possible. High modelling accuracy can be achieved only through calibration. Two approaches can be adopted—manual or automatic. Manual calibration consists of an iterative trial and error procedure that requires high skill and expertise of the modeler. Automatic calibration relies on mathematical and statistical methods that mostly use optimization algorithms to minimize the difference between measured and simulated data. This paper aims to compare a manual calibration procedure with an automatic calibration method developed by the authors, coupling dynamic simulation, sensitivity analysis and automatic optimization using IDA ICE, Matlab and GenOpt respectively. Differences, advantages and disadvantages are evidenced applying both methods to a dynamic simulation model of a real office building in Rome, Italy. Although both methods require high expertise from operators and showed good results in terms of accuracy, automatic calibration presents better performance and consistently helps with speeding up the procedure.

ACS Style

Cristina Cornaro; Francesco Bosco; Marco Lauria; Valerio Adoo Puggioni; Livio De Santoli. Effectiveness of Automatic and Manual Calibration of an Office Building Energy Model. Applied Sciences 2019, 9, 1985 .

AMA Style

Cristina Cornaro, Francesco Bosco, Marco Lauria, Valerio Adoo Puggioni, Livio De Santoli. Effectiveness of Automatic and Manual Calibration of an Office Building Energy Model. Applied Sciences. 2019; 9 (10):1985.

Chicago/Turabian Style

Cristina Cornaro; Francesco Bosco; Marco Lauria; Valerio Adoo Puggioni; Livio De Santoli. 2019. "Effectiveness of Automatic and Manual Calibration of an Office Building Energy Model." Applied Sciences 9, no. 10: 1985.

Journal article
Published: 04 October 2018 in Solar Energy
Reads 0
Downloads 0

The increased penetration of photovoltaic power introduces new challenges for the stability of the electrical grid, both at the local and national level. Many different effects are caused by high solar power injection into the electric grid. Among them, the increased risk of imbalance between the actual and scheduled power transmission is of particular relevance. The consequence is the need to exchange larger amounts of dispatchable power on the balancing energy market. The aim of this work is to analyze and quantify the effects of PV penetration in a target region and to evaluate the energy and economic benefits of using day-ahead PV forecast for power transmission scheduling. For this purpose, we developed several data-driven methods for transmission scheduling that include day-ahead PV power forecasts. We compared the resulting operational imbalances from these new models against two reference models currently used by the local grid operators. In the case of no PV generation in the target area, the more accurate reference model leads to an imbalance of 3.6% of the peak power transmission while more accurate data-driven method reduces the imbalance to 3.2%. When the distributed PV capacity is not zero, the imbalance of the reference model grows from 5.15% (at the current penetration of 7%) to 9.8% (at the maximum planned regional penetration of 45%). When we apply the new scheduling model, imbalances are reduced to respectively 3.5% and 5.8% at 7% and 45% of penetration. Since in Italy the costs of imbalances resulting from distributed PV are borne by ratepayers, these costs are estimated to be respectively 2.3% and 15% of the average electricity bill at 7% and 45% penetration if the reference scheduling is used. When applying the new model these costs are respectively reduced to 1.2% and 8.5%.

ACS Style

Marco Pierro; Matteo De Felice; Enrico Maggioni; David Moser; Alessandro Perotto; Francesco Spada; Cristina Cornaro. Photovoltaic generation forecast for power transmission scheduling: A real case study. Solar Energy 2018, 174, 976 -990.

AMA Style

Marco Pierro, Matteo De Felice, Enrico Maggioni, David Moser, Alessandro Perotto, Francesco Spada, Cristina Cornaro. Photovoltaic generation forecast for power transmission scheduling: A real case study. Solar Energy. 2018; 174 ():976-990.

Chicago/Turabian Style

Marco Pierro; Matteo De Felice; Enrico Maggioni; David Moser; Alessandro Perotto; Francesco Spada; Cristina Cornaro. 2018. "Photovoltaic generation forecast for power transmission scheduling: A real case study." Solar Energy 174, no. : 976-990.

Conference paper
Published: 01 June 2018 in 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Reads 0
Downloads 0

Energy consumption in the construction sector has a primary role in worldwide energy waste. Improvements in buildings efficiency can lead to high benefits for energy reduction. This work aims to present a retrofit project based on dynamic simulation and automatic optimization for building envelop refurbishment and heating system management as a sort of precontrol approach. A novel full automatic procedure is proposed, involving automatic calibration coupling IDA-ICE and GenOpt and a multi objective optimization of the retrofit solutions using a NSGA-II. Energy consumption, discomfort and retrofit investment cost are minimized for an office building in the city of Rome, Italy. Different results from the optimization are discussed considering more investment costs. Sensitive energy savings are also reached through low (or null) investment solutions because of the improvements in plant management.

ACS Style

Francesco Bosco; Marco Lauria; Valerio Adoo Puggioni; Cristina Cornaro. A Full Automatic Procedure for the Evaluation of Retrofit Solutions of an Office Building Towards NZEB. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2018, 1 -6.

AMA Style

Francesco Bosco, Marco Lauria, Valerio Adoo Puggioni, Cristina Cornaro. A Full Automatic Procedure for the Evaluation of Retrofit Solutions of an Office Building Towards NZEB. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2018; ():1-6.

Chicago/Turabian Style

Francesco Bosco; Marco Lauria; Valerio Adoo Puggioni; Cristina Cornaro. 2018. "A Full Automatic Procedure for the Evaluation of Retrofit Solutions of an Office Building Towards NZEB." 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-6.

Journal article
Published: 09 January 2018 in Energies
Reads 0
Downloads 0

Dye-sensitized solar cell technology is having an important role in renewable energy research due to its features and low-cost manufacturing processes. Devices based on this technology appear very well suited for integration into glazing systems due to their characteristics of transparency, color tuning and manufacturing directly on glass substrates. Field data of thermal and electrical characteristics of dye-sensitized solar modules (DSM) are important since they can be used as input of building simulation models for the evaluation of their energy saving potential when integrated into buildings. However, still few studies in the literature provide this information. The study presented here aims to contribute to fill this lack providing a thermal and electrical characterization of a DSM in real operating conditions using a method developed in house. This method uses experimental data coming from test boxes exposed outdoor and dynamic simulation to provide thermal transmittance (U-value) and solar heat gain coefficient (SHGC) of a DSM prototype. The device exhibits a U-value of 3.6 W/m2·K, confirmed by an additional measurement carried on in the lab using a heat flux meter, and a SHGC of 0.2, value compliant with literature results. Electrical characterization shows an increase of module power with respect to temperature resulting DSM being suitable for integration in building facades.

ACS Style

Cristina Cornaro; Ludovica Renzi; Marco Pierro; Aldo Di Carlo; Alessandro Guglielmotti. Thermal and Electrical Characterization of a Semi-Transparent Dye-Sensitized Photovoltaic Module under Real Operating Conditions. Energies 2018, 11, 155 .

AMA Style

Cristina Cornaro, Ludovica Renzi, Marco Pierro, Aldo Di Carlo, Alessandro Guglielmotti. Thermal and Electrical Characterization of a Semi-Transparent Dye-Sensitized Photovoltaic Module under Real Operating Conditions. Energies. 2018; 11 (1):155.

Chicago/Turabian Style

Cristina Cornaro; Ludovica Renzi; Marco Pierro; Aldo Di Carlo; Alessandro Guglielmotti. 2018. "Thermal and Electrical Characterization of a Semi-Transparent Dye-Sensitized Photovoltaic Module under Real Operating Conditions." Energies 11, no. 1: 155.

Preprint
Published: 07 December 2017
Reads 0
Downloads 0

Dye sensitized solar cell technology is having an important role in renewable energy research due to its features and low cost manufacturing processes. Devices based on this technology appear very well suited for integration into glazing systems due to their characteristics of transparency, color tuning and manufacturing directly on glass substrates. Field data of thermal and electrical characteristics of dye sensitized solar modules (DSM) are important since they can be used as input of building simulation models for the evaluation of their energy saving potential when integrated into buildings. However still few works in the literature provide this information. The study here presented wants to contribute to fill this gap providing a thermal and electrical characterization of a DSM in real operating conditions using a method developed in house. This method uses experimental data coming from test boxes exposed outdoor and dynamic simulation to provide thermal transmittance and solar heat gain coefficient (SHGC) of a DSM prototype. The device exhibits an U-value of 3.6 W/m2K, confirmed by an additional measurement carried on in the lab using a heat flux meter, and a SHGC of 0.2, value compliant with literature results. Electrical characterization evidences an increase of module power with respect to temperature causing DSM suitable for integration in building facades.

ACS Style

Cristina Cornaro; Ludovica Renzi; Marco Pierro; Aldo Di Carlo; Alessandro Guglielmotti. Thermal and Electrical Characterization of a Semi-Transparent Dye Sensitized Photovoltaic Module under Real Operating Conditions. 2017, 1 .

AMA Style

Cristina Cornaro, Ludovica Renzi, Marco Pierro, Aldo Di Carlo, Alessandro Guglielmotti. Thermal and Electrical Characterization of a Semi-Transparent Dye Sensitized Photovoltaic Module under Real Operating Conditions. . 2017; ():1.

Chicago/Turabian Style

Cristina Cornaro; Ludovica Renzi; Marco Pierro; Aldo Di Carlo; Alessandro Guglielmotti. 2017. "Thermal and Electrical Characterization of a Semi-Transparent Dye Sensitized Photovoltaic Module under Real Operating Conditions." , no. : 1.

Journal article
Published: 01 December 2017 in Solar Energy
Reads 0
Downloads 0

The growing photovoltaic generation results in a stochastic variability of the electric demand that could compromise the stability of the grid, increase the amount of energy reserve and the energy imbalance cost. On regional scale, the estimation of the solar power generation from the real time environmental conditions and the solar power forecast is essential for Distribution System Operators, Transmission System Operator, energy traders, and Aggregators. In this context, a new upscaling method was developed and used for estimation and forecast of the photovoltaic distributed generation in a small area of Italy with high photovoltaic penetration. It was based on spatial clustering of the PV fleet and neural networks models that input satellite or numerical weather prediction data (centered on cluster centroids) to estimate or predict the regional solar generation. Two different approaches were investigated. The simplest and more accurate approach requires a low computational effort and very few input information should be provided by users. The power estimation model provided a RMSE of 3% of installed capacity. Intra-day forecast (from 1 to 4 h) obtained a RMSE of 5%–7% and a skill score with respect to the smart persistence from −8% to 33.6%. The one and two days ahead forecast achieved a RMSE of 7% and 7.5% and a skill score of 39.2% and 45.7%. The smoothing effect on cluster scale was also studied. It reduces the RMSE of power estimation of 33% and the RMSE of day-ahead forecast of 12% with respect to the mean single cluster value. Furthermore, a method to estimate the forecast error was also developed. It was based on an ensemble neural network model coupled with a probabilistic correction. It can provide a highly reliable computation of the prediction intervals.

ACS Style

Marco Pierro; Matteo De Felice; Enrico Maggioni; David Moser; Alessandro Perotto; Francesco Spada; Cristina Cornaro. Data-driven upscaling methods for regional photovoltaic power estimation and forecast using satellite and numerical weather prediction data. Solar Energy 2017, 158, 1026 -1038.

AMA Style

Marco Pierro, Matteo De Felice, Enrico Maggioni, David Moser, Alessandro Perotto, Francesco Spada, Cristina Cornaro. Data-driven upscaling methods for regional photovoltaic power estimation and forecast using satellite and numerical weather prediction data. Solar Energy. 2017; 158 ():1026-1038.

Chicago/Turabian Style

Marco Pierro; Matteo De Felice; Enrico Maggioni; David Moser; Alessandro Perotto; Francesco Spada; Cristina Cornaro. 2017. "Data-driven upscaling methods for regional photovoltaic power estimation and forecast using satellite and numerical weather prediction data." Solar Energy 158, no. : 1026-1038.

Journal article
Published: 13 July 2017 in Sustainability
Reads 0
Downloads 0

Rating systems for assessing the environmental impact of buildings are technical instruments that aim to evaluate the environmental impact of buildings and construction projects. In some cases, these rating systems can also cover urban-scale projects, community projects, and infrastructures. These schemes are designed to assist project management in making the projects more sustainable by providing frameworks with precise criteria for assessing the various aspects of a building’s environmental impact. Given the growing interest in sustainable development worldwide, many rating systems for assessing the environmental impact of buildings have been established in recent years, each one with its peculiarities and fields of applicability. The present work is motivated by an interest in emphasizing such differences to better understand these rating systems and extract the main implications to building design. It also attempts to summarize in a user-friendly form the vast and fragmented assortment of information that is available today. The analysis focuses on the six main rating systems: the Building Research Establishment Environmental Assessment Methodology (BREEAM), the Comprehensive Assessment System for Built Environment Efficiency (CASBEE), the Deutsche Gesellschaft für Nachhaltiges Bauen (DGNB), the Haute Qualité Environnementale (HQETM), the Leadership in Energy and Environmental Design (LEED), and the Sustainable Building Tool (SBTool).

ACS Style

Elena Bernardi; Salvatore Carlucci; Cristina Cornaro; Rolf André Bohne. An Analysis of the Most Adopted Rating Systems for Assessing the Environmental Impact of Buildings. Sustainability 2017, 9, 1226 .

AMA Style

Elena Bernardi, Salvatore Carlucci, Cristina Cornaro, Rolf André Bohne. An Analysis of the Most Adopted Rating Systems for Assessing the Environmental Impact of Buildings. Sustainability. 2017; 9 (7):1226.

Chicago/Turabian Style

Elena Bernardi; Salvatore Carlucci; Cristina Cornaro; Rolf André Bohne. 2017. "An Analysis of the Most Adopted Rating Systems for Assessing the Environmental Impact of Buildings." Sustainability 9, no. 7: 1226.

Journal article
Published: 22 June 2017 in Buildings
Reads 0
Downloads 0

Phase change materials (PCM) are very promising materials for improving energy efficiency in buildings, especially in hot weather conditions. In spite of the growing attention paid to the integration of PCM into buildings, there are few studies on PCM evaluation under real operating conditions. This lack of data often does not allow accurate calibration and validation of building simulation models. This work aims to characterize a commercial PCM panel by RUBITHERM®. The panel was laid on the floor of a test box exposed outdoors, and the experimental data were used to validate a PCM software tool implemented in IDA Indoor Climate and Energy software. A reference office building model with characteristics prescribed by Italian regulations (STD) was provided with three PCM with melting points of approximately 21 °C, 24 °C and 26 °C, laid on the floor office. The building energy performance obtained was compared to the energy performance of a reference building prescribed by the new Italian building energy performance regulation (NZEB) for three cities in Italy (Trento, Rome and Palermo). The results showed that energy savings obtained from implementing PCM in the STD building were not sufficient to reach the NZEB reference value for all cities. Only the use of night ventilation was able to assist in reaching NZEB. PCM with a 21 °C melting point showed the best annual energy saving performance in all cities. Temperature range and temperature peaks experienced by PCM in the day/night cycle can explain the behavior of these materials in the various cities and seasons as latent and sensible heat storage systems.

ACS Style

Cristina Cornaro; Marco Pierro; Valerio Adoo Puggioni; Daniele Roncarati. Outdoor Characterization of Phase Change Materials and Assessment of Their Energy Saving Potential to Reach NZEB. Buildings 2017, 7, 55 .

AMA Style

Cristina Cornaro, Marco Pierro, Valerio Adoo Puggioni, Daniele Roncarati. Outdoor Characterization of Phase Change Materials and Assessment of Their Energy Saving Potential to Reach NZEB. Buildings. 2017; 7 (4):55.

Chicago/Turabian Style

Cristina Cornaro; Marco Pierro; Valerio Adoo Puggioni; Daniele Roncarati. 2017. "Outdoor Characterization of Phase Change Materials and Assessment of Their Energy Saving Potential to Reach NZEB." Buildings 7, no. 4: 55.

Conference paper
Published: 01 June 2017 in 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC)
Reads 0
Downloads 0

This paper presents a methodology to infer the monthly series if Performance Ratio (PR) and the tilt & orientation angles of PV systems installed in a certain extended area. It is particularly useful in a context of low-information, especially when irradiance data is not available for the sites, and it only requires the knowledge of produced energy, location and nominal power of each system of the fleet. Possible applications of this methodology are: regional survey and statistical analysis of distributed plants performance on monthly time scale; implementation of physical model of plant performance (requiring plant characteristic), to be used for nowcast and forecast application; statistical information on technology performance loss rate.

ACS Style

Marco Pierro; Giorgio Belluardo; Philip Ingenhoven; Cristina Cornaro; David Moser; Iroshani Jayawardene; Ganesh K. Venayagamoorthy. Inferring the Performance Ratio of PV systems distributed in an region: a real-case study in South Tyrol. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC) 2017, 3482 -3487.

AMA Style

Marco Pierro, Giorgio Belluardo, Philip Ingenhoven, Cristina Cornaro, David Moser, Iroshani Jayawardene, Ganesh K. Venayagamoorthy. Inferring the Performance Ratio of PV systems distributed in an region: a real-case study in South Tyrol. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 2017; ():3482-3487.

Chicago/Turabian Style

Marco Pierro; Giorgio Belluardo; Philip Ingenhoven; Cristina Cornaro; David Moser; Iroshani Jayawardene; Ganesh K. Venayagamoorthy. 2017. "Inferring the Performance Ratio of PV systems distributed in an region: a real-case study in South Tyrol." 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC) , no. : 3482-3487.