The Experts below are selected from a list of 285 Experts worldwide ranked by ideXlab platform
Salvatore Manfreda - One of the best experts on this subject based on the ideXlab platform.
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Flood quantiles estimation based on theoretically derived distributions: Regional Analysis in Southern Italy
Natural Hazards and Earth System Sciences, 2011Co-Authors: Vito Iacobellis, Andrea Gioia, Salvatore Manfreda, Mauro FiorentinoAbstract:Abstract. A Regional probabilistic model for the estimation of medium-high return period flood quantiles is presented. The model is based on the use of theoretically derived probability distributions of annual maximum flood peaks (DDF). The general model is called TCIF (Two-Component IF model) and encompasses two different threshold mechanisms associated with ordinary and extraordinary events, respectively. Based on at-site calibration of this model for 33 gauged sites in Southern Italy, a Regional Analysis is performed obtaining satisfactory results for the estimation of flood quantiles for return periods of technical interest, thus suggesting the use of the proposed methodology for the application to ungauged basins. The model is validated by using a jack-knife cross-validation technique taking all river basins into consideration.
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Regional Analysis of runoff thresholds behaviour in Southern Italy based on theoretically derived distributions
Advances in Geosciences, 2011Co-Authors: Mauro Fiorentino, Andrea Gioia, Vito Iacobellis, Salvatore ManfredaAbstract:Abstract. The Analysis of runoff thresholds and, more in general, the identification of main mechanisms of runoff generation controlling the flood frequency distribution is investigated, by means of theoretically derived flood frequency distributions, in the framework of Regional Analysis. Two nested theoretically-derived distributions are fitted to annual maximum flood series recorded in several basins of Southern Italy. Results are exploited in order to investigate heterogeneities and homogeneities and to obtain useful information for improving the available methods for Regional Analysis of flood frequency.
Mauro Fiorentino - One of the best experts on this subject based on the ideXlab platform.
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Flood quantiles estimation based on theoretically derived distributions: Regional Analysis in Southern Italy
Natural Hazards and Earth System Sciences, 2011Co-Authors: Vito Iacobellis, Andrea Gioia, Salvatore Manfreda, Mauro FiorentinoAbstract:Abstract. A Regional probabilistic model for the estimation of medium-high return period flood quantiles is presented. The model is based on the use of theoretically derived probability distributions of annual maximum flood peaks (DDF). The general model is called TCIF (Two-Component IF model) and encompasses two different threshold mechanisms associated with ordinary and extraordinary events, respectively. Based on at-site calibration of this model for 33 gauged sites in Southern Italy, a Regional Analysis is performed obtaining satisfactory results for the estimation of flood quantiles for return periods of technical interest, thus suggesting the use of the proposed methodology for the application to ungauged basins. The model is validated by using a jack-knife cross-validation technique taking all river basins into consideration.
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Regional Analysis of runoff thresholds behaviour in Southern Italy based on theoretically derived distributions
Advances in Geosciences, 2011Co-Authors: Mauro Fiorentino, Andrea Gioia, Vito Iacobellis, Salvatore ManfredaAbstract:Abstract. The Analysis of runoff thresholds and, more in general, the identification of main mechanisms of runoff generation controlling the flood frequency distribution is investigated, by means of theoretically derived flood frequency distributions, in the framework of Regional Analysis. Two nested theoretically-derived distributions are fitted to annual maximum flood series recorded in several basins of Southern Italy. Results are exploited in order to investigate heterogeneities and homogeneities and to obtain useful information for improving the available methods for Regional Analysis of flood frequency.
Vito Iacobellis - One of the best experts on this subject based on the ideXlab platform.
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Flood quantiles estimation based on theoretically derived distributions: Regional Analysis in Southern Italy
Natural Hazards and Earth System Sciences, 2011Co-Authors: Vito Iacobellis, Andrea Gioia, Salvatore Manfreda, Mauro FiorentinoAbstract:Abstract. A Regional probabilistic model for the estimation of medium-high return period flood quantiles is presented. The model is based on the use of theoretically derived probability distributions of annual maximum flood peaks (DDF). The general model is called TCIF (Two-Component IF model) and encompasses two different threshold mechanisms associated with ordinary and extraordinary events, respectively. Based on at-site calibration of this model for 33 gauged sites in Southern Italy, a Regional Analysis is performed obtaining satisfactory results for the estimation of flood quantiles for return periods of technical interest, thus suggesting the use of the proposed methodology for the application to ungauged basins. The model is validated by using a jack-knife cross-validation technique taking all river basins into consideration.
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Regional Analysis of runoff thresholds behaviour in Southern Italy based on theoretically derived distributions
Advances in Geosciences, 2011Co-Authors: Mauro Fiorentino, Andrea Gioia, Vito Iacobellis, Salvatore ManfredaAbstract:Abstract. The Analysis of runoff thresholds and, more in general, the identification of main mechanisms of runoff generation controlling the flood frequency distribution is investigated, by means of theoretically derived flood frequency distributions, in the framework of Regional Analysis. Two nested theoretically-derived distributions are fitted to annual maximum flood series recorded in several basins of Southern Italy. Results are exploited in order to investigate heterogeneities and homogeneities and to obtain useful information for improving the available methods for Regional Analysis of flood frequency.
Andrea Gioia - One of the best experts on this subject based on the ideXlab platform.
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Flood quantiles estimation based on theoretically derived distributions: Regional Analysis in Southern Italy
Natural Hazards and Earth System Sciences, 2011Co-Authors: Vito Iacobellis, Andrea Gioia, Salvatore Manfreda, Mauro FiorentinoAbstract:Abstract. A Regional probabilistic model for the estimation of medium-high return period flood quantiles is presented. The model is based on the use of theoretically derived probability distributions of annual maximum flood peaks (DDF). The general model is called TCIF (Two-Component IF model) and encompasses two different threshold mechanisms associated with ordinary and extraordinary events, respectively. Based on at-site calibration of this model for 33 gauged sites in Southern Italy, a Regional Analysis is performed obtaining satisfactory results for the estimation of flood quantiles for return periods of technical interest, thus suggesting the use of the proposed methodology for the application to ungauged basins. The model is validated by using a jack-knife cross-validation technique taking all river basins into consideration.
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Regional Analysis of runoff thresholds behaviour in Southern Italy based on theoretically derived distributions
Advances in Geosciences, 2011Co-Authors: Mauro Fiorentino, Andrea Gioia, Vito Iacobellis, Salvatore ManfredaAbstract:Abstract. The Analysis of runoff thresholds and, more in general, the identification of main mechanisms of runoff generation controlling the flood frequency distribution is investigated, by means of theoretically derived flood frequency distributions, in the framework of Regional Analysis. Two nested theoretically-derived distributions are fitted to annual maximum flood series recorded in several basins of Southern Italy. Results are exploited in order to investigate heterogeneities and homogeneities and to obtain useful information for improving the available methods for Regional Analysis of flood frequency.
Wei Feng - One of the best experts on this subject based on the ideXlab platform.
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Regional Analysis of Building Distributed Energy Costs and CO2 Abatement: A U.S. - China Comparison
Energy and Buildings, 2014Co-Authors: Gonçalo Mendes, Jan Steinbach, Michael Stadler, Chris Marnay, Nan Zhou, Yan Ding, Wei Feng, Zhe TianAbstract:The following paper conducts a Regional Analysis of the U.S. and Chinese buildings? potential for adopting Distributed Energy Resources (DER). The expected economics of DER in 2020-2025 is modeled for a commercial and a multi-family residential building in different climate zones. The optimal building energy economic performance is calculated using the Distributed Energy Resources Customer Adoption Model (DER CAM) which minimizes building energy costs for a typical reference year of operation. Several DER such as combined heat and power (CHP) units, photovoltaics, and battery storage are considered. The results indicate DER have economic and environmental competitiveness potential, especially for commercial buildings in hot and cold climates of both countries. In the U.S., the average expected energy cost savings in commercial buildings from DER CAM?s suggested investments is 17percent, while in Chinese buildings is 12percent. The electricity tariffs structure and prices along with the cost of natural gas, represent important factors in determining adoption of DER, more so than climate. High energy pricing spark spreads lead to increased economic attractiveness of DER. The average emissions reduction in commercial buildings is 19percent in the U.S. as a result of significant investments in PV, whereas in China, it is 20percent and driven by investments in CHP. Keywords: Building Modeling and Simulation, Distributed Energy Resources (DER), Energy Efficiency, Combined Heat and Power (CHP), CO2 emissions 1. Introduction The transition from a centralized and fossil-based energy paradigm towards the decentralization of energy supply and distribution has been a major subject of research over the past two decades. Various concerns have brought the traditional model into question; namely its environmental footprint, its structural inflexibility and inefficiency, and more recently, its inability to maintain acceptable reliability of supply. Under such a troubled setting, distributed energy resources (DER) comprising of small, modular, electrical renewable or fossil-based electricity generation units placed at or near the point of energy consumption, has gained much attention as a viable alternative or addition to the current energy system. In 2010, China consumed about 30percent of its primary energy in the buildings sector, leading the country to pay great attention to DER development and its applications in buildings. During the 11th Five Year Plan (FYP), China has implemented 371 renewable energy building demonstration projects, and 210 photovoltaics (PV) building integration projects. At the end of the 12th FYP, China is targeting renewable energy to provide 10percent of total building energy, and to save 30 metric tons of CO2 equivalents (mtce) of energy with building integrated renewables. China is also planning to implement one thousand natural gas-based distributed cogeneration demonstration projects with energy utilization rates over 70percent in the 12th FYP. All these policy targets require significant DER systems development for building applications. China?s fast urbanization makes building energy efficiency a crucial economic issue; however, only limited studies have been done that examine how to design and select suitable building energy technologies in its different regions. In the U.S., buildings consumed 40percent of the total primary energy in 2010 [1] and it is estimated that about 14 billion m2 of floor space of the existing building stock will be remodeled over the next 30 years. Most building?s renovation work has been on building envelope, lighting and HVAC systems. Although interest has emerged, less attention is being paid to DER for buildings. This context has created opportunities for research, development and progressive deployment of DER, due to its potential to combine the production of power and heat (CHP) near the point of consumption and delivering multiple benefits to customers, such as cost
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A U.S. and China Regional Analysis of Distributed Energy Resources in Buildings - eScholarship
2014Co-Authors: Wei FengAbstract:E RNEST O RLANDO L AWRENCE B ERKELEY N ATIONAL L ABORATORY B ERKELEY N ATIONAL L ABORATORY A U.S. and China Regional Analysis of Distributed Energy Resources in Buildings Wei Feng, Goncalo Mendes, Shi Wang, Michael Stadler, Jan Steinbach, Judy Lai, Nan Zhou, Chris Marnay China Energy Group Environmental Energy Technologies Division Lawrence Berkeley National Laboratory June 2013 This work was supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, Building Technologies Program, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, U.S.-China Clean Energy Research Center (CERC) -- Building Energy Efficiency, and Energy Foundation China through the U.S. Department of Energy under Contract No. DE-AC02-05CH11231
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A U.S. and China Regional Analysis of Distributed Energy Resources in Buildings
2013Co-Authors: Wei FengAbstract:E RNEST O RLANDO L AWRENCE B ERKELEY N ATIONAL L ABORATORY B ERKELEY N ATIONAL L ABORATORY A U.S. and China Regional Analysis of Distributed Energy Resources in Buildings Wei Feng, Goncalo Mendes, Shi Wang, Michael Stadler, Jan Steinbach, Judy Lai, Nan Zhou, Chris Marnay China Energy Group Environmental Energy Technologies Division Lawrence Berkeley National Laboratory June 2013 This work was supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, Building Technologies Program, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, U.S.-China Clean Energy Research Center (CERC) -- Building Energy Efficiency, and Energy Foundation China through the U.S. Department of Energy under Contract No. DE-AC02-05CH11231
