Letteratura scientifica selezionata sul tema "Green roof hydric model"

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Articoli di riviste sul tema "Green roof hydric model":

1

Limos, Aviva Gabriel, Kristine Joy Bernardo Mallari, Jongrak Baek, Hwansuk Kim, Seungwan Hong e Jaeyoung Yoon. "Assessing the significance of evapotranspiration in green roof modeling by SWMM". Journal of Hydroinformatics 20, n. 3 (27 febbraio 2018): 588–96. http://dx.doi.org/10.2166/hydro.2018.130.

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Abstract Green roof is a low impact development (LID) practice used to mitigate imperviousness in urban areas and to reduce flood risks. In order to have sufficient designs and accurate runoff predictions, computer models should be utilized with full understanding of green roofs' hydrologic processes. Evapotranspiration is usually considered important by researchers in the water balance modeling of a green roof. The Storm Water Management Model (SWMM) version 5.1 is widely utilized rainfall-runoff modeling software which has LID controls capable of modeling green roofs. A previous study has evaluated the performance of this model in green roof simulations for single events without considering evapotranspiration in its application, but attained negative outcomes. Thus, the objective of this study is to determine the significance of considering evapotranspiration in producing accurate runoff simulations specifically using SWMM 5.1. The results of this study have shown that when evapotranspiration was not considered, simulations failed to agree with observed values, whereas when evapotranspiration was considered, simulated runoff volumes attained a very good fit with the observed runoff volumes proving the significance of evapotranspiration as an important parameter in green roof modeling.
2

Samouei, Sina, e Mehmet Özger. "Evaluating the performance of low impact development practices in urban runoff mitigation through distributed and combined implementation". Journal of Hydroinformatics 22, n. 6 (10 settembre 2020): 1506–20. http://dx.doi.org/10.2166/hydro.2020.054.

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Abstract Rapid urbanization and increasing impervious surfaces in cities lead to a serious reduction in infiltration rate of the surface and cause challenges in stormwater management. The Low Impact Development (LID) concept is considered as a potential solution for sustainable urban growth by contributing in urban flood mitigation. However, its effects on hydrologic response of the urbanized catchments, especially in broad scale implementation, are not fully understood and practically examined. In this study a hydrologic-hydraulic model of a small catchment was developed in EPA storm water management model (SWMM) program and calibrated and validated through field measurements. The hydrologic response of the catchment was investigated after replacing proportions of impervious surfaces with combinations of LID practices such as green roof, permeable pavement and bio-retention cell, through four land cover conversion scenarios and under five different designed storm events. The simulation results which are derived by comparison of outflow hydrographs between each scenario and conventional drainage system indicated that implementing 5–20% of LIDs has a noticeable impact on runoff peak flow and volume reduction, especially in storm events with shorter return periods. Also the runoff reduction trends show a linear response due to the increase in LID implementation ratio in the study area.
3

Oviedo Escobar, Nicolas, Andres Torres, Carlos Devia e Angela Puentes. "Hydric attenuation of a green roof experimental assembly in Bogotá". Ambiente y Desarrollo 20, n. 38 (9 dicembre 2015): 53. http://dx.doi.org/10.11144/javeriana.ayd20-38.hagr.

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<p>En este estudio se evaluó la atenuación hídrica de un techo verde utilizando tres<br />indicadores: lag-time, coeficiente de escorrentía y volumen de agua retenida. Se<br />registraron siete eventos de lluvia y se evaluó su respuesta para dos tipos de plantas<br />—Pennisetum clandestinum y Melissa officinalis— y tres profundidades de sustrato (5,<br />10 y 15 cm), para un total de seis tratamientos con tres repeticiones. Los experimentos<br />se realizaron en el techo del edificio “Rafael Arboleda” de la Pontificia Universidad<br />Javeriana, Bogotá Colombia (4°37’43 .33’’, 74 º 03’46 .04 ‘’) a 2633 metros sobre el<br />nivel del mar. Máximos lag-time y coeficientes de escorrentía de 70 minutos y 0,1,<br />respectivamente. De la misma manera, se observaron volúmenes de retención<br />máximos cercanos al 100 %. Sin embargo, se evidenciaron variabilidades importantes<br />de estos resultados, los cuales se analizaron utilizando el análisis de correspondencias<br />múltiples y Anova: el tipo de planta y las características hidrológicas del evento de<br />lluvia (duración, intensidad máxima, intensidad media, nivel de drenado) tienen<br />influencias significativas sobre estas variabilidades.</p>
4

Oviedo Escobar, Nicolas, e Andres Torres. "Hydric Attenuation and Hydrological Benefits for Implementing Productive Green Roof in Soacha, Colombia". Ingenieria y Universidad 18, n. 2 (20 novembre 2014): 291. http://dx.doi.org/10.11144/javeriana.iyu18-2.hahb.

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Este trabajo evalúa la atenuación hídrica de un techo verde productivo mediante tres indicadores: lag-time, coeficiente de escorrentía y porcentaje de retención volumétrica. Se utilizaron dos especies de plantas: una herbácea (Lactucasativa) y una crucífera (Raphanus sativus). Se registraron ocho eventos de lluvia en cuatro casas del barrio La Isla,en Soacha, Colombia (4° 34’ 22.3”, 74° 10’ 53.5”, 2701msnm). Se observaron retardos de la escorrentía hasta de 32 minutos, coeficientes equivalentes de escorrentía mínimos hasta de 0,1 y porcentajes de retención volumétrica máximos cercanos al 80 %. Se evaluaron los beneficioshidrológicos de implementar techos verdes comparando la infraestructura de drenaje requerida con techos verdes y sin estos, y calculando sus respectivas probabilidades de inundación en el área de estudio (barrio La Isla, Soacha,Colombia). Se simuló la respuesta del alcantarillado propuesto mediante la metodología de Monte Carlo, al implementar techos verdes en toda el área de estudio:el coeficiente de escorrentía se distribuyó aleatoriamente, siguiendo una distribución de Kernel correspondiente a los datos registrados en campo. Los resultados obtenidos evidenciaron ahorros cercanos al 22 % y una reducción del 35 % de las probabilidades de inundación.
5

She, Nian, e Joseph Pang. "Physically Based Green Roof Model". Journal of Hydrologic Engineering 15, n. 6 (giugno 2010): 458–64. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000138.

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6

Jovanović, Dimitrijević, Predrag (Miodrag) Zivkovic, Jelena Janevski, Mica Vukic, Ana Momcilovic e Dejan Jovanovic. "GREEN LIVING ROOF SIMULATION MODEL REVIEW". Ecological Safety and Balanced Use of Resources, n. 1(19) (12 luglio 2019): 104–10. http://dx.doi.org/10.31471/2415-3184-2019-1(19)-104-110.

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Integration of nature, live, organic materials, in the design of built areas and building structure is an architectural response to environmental problems of dense urban areas. At the site where green space is limited, greening the building envelope is the solution for the issues such as heat waves, flooding, and noise and air pollution. The benefits could be predicted only using accurate simulation model of this technology. The energy balance of green living roof was researched through models developed over the years by various authors. Most models have been developed and validated with data from extensive roofs and more than 50% of the models were validated using data from warm temperate climatic zones. Ability to determine the impact of green living roofs at different stages of their architectural design process is of most importance if the incorporation this technology is planned due to the impact on building and urban level.
7

Suszanowicz, Dariusz. "Model research on the influence of green roofs on environmental parameters in urban agglomerations". E3S Web of Conferences 45 (2018): 00094. http://dx.doi.org/10.1051/e3sconf/20184500094.

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This study presents features of green roofs in urban areas with a particular emphasis on the filtration of air pollutants, heavy metals removal, reduction of rainwater runoff from roof surfaces and thermal insulation. To carry out field studies on the influence of green roofs on the environment in urban areas, two green roof models on a laboratory scale were used. The observations of the prepared green roof models made during the summer, autumn and winter confirmed the extremely beneficial effect of this type of roof for the elimination of air pollutant, heavy metals, and particulate matter. The observations also confirmed that plants on a green roof growing on a soil layer absorb an average of 74% of rain water and then allow it to evaporate. The selection of plants for green roofs should mainly focus on how effectively they improve urban environmental parameters and remove air pollutants. The results of the study of the two green roof models on a laboratory scale are necessary to work out the parameters of layers of the roof and select the most appropriate plants for the reference research object on the roof of one of buildings of the University of Opole.
8

Yuliani, Sri, e Bambang Triratma. "Modeling green roofs in tropical housing to support micro-scale food security". IOP Conference Series: Earth and Environmental Science 1200, n. 1 (1 giugno 2023): 012040. http://dx.doi.org/10.1088/1755-1315/1200/1/012040.

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Abstract Research on green roofs in tropical residential buildings has the opportunity to be a substitute for productive green spaces. This research implements several vegetable plants as building roof covering elements, i.e., peanut, eggplant, chili, and tomato. Experimental research was applied jointly for six months on four types of vegetables on a green roof covering an area of sixteen square meters. The green roof model consists of a green roof model on concrete and corrugated zinc through a floating technique as a roof model engineering. The aim of this research is to examine the roof as a substitute for green space in buildings. The results showed that the four types of vegetables could grow well on both roof models, both types of green roof have the opportunity to be implemented in residential areas, resulting in fruit that could be consumed on a household micro scale.
9

Perillo, Vanesa Liliana, Andrea Soledad Brendel, Federico Ferrelli, Agustina Gutiérrez, Alejandro José Vitale, Pablo Marinangeli e María Cintia Piccolo. "CO2 flux dynamics of exotic and native species in an extensive green roof simulator with hydric deficit". Urban Climate 49 (maggio 2023): 101567. http://dx.doi.org/10.1016/j.uclim.2023.101567.

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10

Byun, K. H. "Simulation of Thin Green Roof for Summer in Seoul". International Journal of Air-Conditioning and Refrigeration 25, n. 04 (dicembre 2017): 1750034. http://dx.doi.org/10.1142/s2010132517500341.

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The purpose of this paper is to simulate the performance of thin green roofs during summer in Seoul, where there are four seasons. Many experimental studies are available for the green roofs, but there have not been many analytical studies. Numerical analysis is applied to a simple model developed for this study. The effects of the parameters affecting green roof performance are studied using several roof types. The weather data from Korea Meteorological Administration for the summer in Seoul have been used as an input for the simulation model. The results agree with the trends reported in previous studies. The importance of insulation status of the roof before applying green roof and the climate conditions is confirmed. Analysis such as this paper is necessary and useful before applying green roof or planning experiment on green roof.

Tesi sul tema "Green roof hydric model":

1

Hego, Axelle. "Analyse de sensibilité sur un modèle hydrologique de toiture végétalisée". Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0161.

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Ces dernières décennies, les surfaces imperméables des zones urbaines favorisent la saturation des systèmes d'évacuation. Dans le but de réduire l'impact de cette imperméabilité, l'installation de toitures végétalisées est une solution intéressante pour retenir et ralentir les eaux de pluie avant leur arrivée dans les réseaux. Une étude approfondie du comportement hydrique de ces structures est nécessaire pour la mise en place de toitures végétalisées performantes dans les éco-quartiers par exemple. Les performances hydriques sont caractérisées par la teneur en eau à l'intérieur des différentes couches de la toiture. Cette teneur en eau peut être simulée avec des modèles complexes qui dépendent de plusieurs paramètres difficiles à déterminer avec précision tels que des paramètres de sol, de végétation et de météorologie. Les incertitudes de ces paramètres vont se propager dans le modèle et affecter le calcul de la teneur en eau. Pour analyser et quantifier l'impact des incertitudes des paramètres sur la sortie du modèle, la teneur en eau, des méthodes d'analyse de sensibilité globale sont appliquées. Dans un premier temps, un modèle simplifié est considéré. Sa particularité est sa sortie variant au cours du temps. L'analyse de sensibilité est menée en utilisant une approche séquentielle mais aussi multivariée. Ensuite, une calibration du modèle complet est réalisée en utilisant l'analyse de sensibilité. Enfin, un paramètre météo incertain et variant dans le temps est ajouté à l'étude. Une approche originale est proposée pour générer des échantillons cohérents et corrélés dans le temps pour ce paramètre. Les résultats de ces travaux de thèse ont mis en évidence les paramètres ayant le plus d'impact sur le teneur en eau au cours du temps parmi les paramètres de sols, de végétation et de météo. Ces résultats ont permis d'améliorer la compréhension de la dynamique de la toiture végétalisée
In the last decades, soil imperviousness in urban areas have been one of the main issue because it can lead to the saturation of drainage systems and flood. In order to reduce the impact of this imperviousness, the installation of green roofs is an interesting solution to retain and slow down rainwater before it reaches the sewer system. An in-depth study of the hydric behavior of these structures is necessary for the installation of efficient green roofs in eco-districts for example. The hydric performances are characterized by the water content inside the different layers of the roof. This water content can be simulated with complex models depending on several parameters difficult to determine with precision such as soil, vegetation and meteorological parameters. The uncertainties of these parameters will propagate in the model and affect the simulation of the water content. To analyse and quantify the impact of parameter uncertainties on the model output, the water content, global sensitivity analysis methods are applied. First, a simplified model is considered. Its particularity is its time-varying output. The sensitivity analysis is conducted using a sequential but also multivariate approach.Then, a calibration of the complete model is performed using the sensitivity analysis. Finally, an uncertain and time-varying weather parameter is added to the study. An original approach is proposed to generate consistent and time-correlated samples for this parameter. The results of this thesis work have highlighted the parameters with the highest impact on water content over time among the soil, vegetation and weather parameters. These results have improved the understanding of the green roof dynamics
2

Vesuviano, Gianni Michael. "A two-stage runoff detention model for a green roof". Thesis, University of Sheffield, 2014. http://etheses.whiterose.ac.uk/5159/.

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Urbanization has caused an increase in per-event stormwater runoff volumes. Existing combined sewer systems are becoming less able to take in storm runoff without overflowing, which may cause flooding and water quality issues. Sustainable drainage systems (SUDS) are structures and practices intended to reduce the volume and rate of a site’s runoff to pre-development levels. Green roofs, not requiring exclusive land use, can be easily integrated into dense urban areas. However, their hydrological behaviour requires further understanding. A generic tool was created for routing detained rainwater through separately-modelled substrate and drainage layer components of a green roof. Components were monitored in isolation, in purpose-built rainfall simulators, under laboratory conditions. Configuration variables (e.g. roof slope) were varied and their effects on runoff response assessed. Nonlinear storage routing methods were used to fit modelled to monitored runoff profiles, by optimizing routing parameters. The sensitivity of these parameters to test variables was assessed, greatly reducing the number of individual values required for modelling either layer. The runoff response of a two-layered green roof system at field capacity was tested under laboratory conditions. The substrate model, in series with the drainage layer model, was parameterized for the two-layered system, and time-series runoff predictions and observations were compared. The model produced consistently accurate results. This model was reparameterized for three monitored test beds in Sheffield, UK, using estimated parameter values for the three untested system configurations. The model was found to be fit for purpose, approaching laboratory accuracy in the best cases. Peak flow predictions were improved by allowing limited runoff to occur before a roof’s water content completely reached field capacity. Further work should extend the model’s applicability to long time-series, through improved evapotranspiration modelling. Further laboratory observations of individual roof components are desirable, to increase the range of modellable green roof configurations.
3

Evans, James S. C. "A predictive model for the shading performance of the deciduous roof". Thesis, University of Brighton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246823.

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Decruz, Aloysius. "Development and integration of a green roof model within whole building energy simulation". Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/32544/.

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Green roofs are increasingly being employed as a sustainability feature of buildings. The sustainability approach in building designs requires reducing energy consumption and adopting low carbon energy sources without compromising the increasing expectations of comfort and health levels. Given the wide range of building designs, climates and green roof types, it is desirable to evaluate at the design stage the energy saving impact and other potential benefits from the application of green roofs. Currently, the abilities of building simulation programs to simulate the influences of green roofs are limited. For example, they have limitations in representing dynamic inter-layer interactions and moisture infiltration mechanisms. This research aims to develop a new model for the simulation of green roofs based on the control volume approach and to integrate the model within a whole building energy simulation program. The green roof elements consist of special layers such as plants and soil for which the control volume approach is capable of capturing their special characteristics with regards to the thermal and moisture exchanges. The model has been integrated within the ESP-r whole building energy simulation program. Within the ESP-r, the new green roof model alters the boundary condition of a roof surface on which green roof is constructed. The model development is carried out by a series of steps which include a careful selection of governing equations that describe the thermal and moisture balances in various layers of green roof, the numerical implementation for a simultaneous solution of the governing equations for the whole green roof, algorithm and code development and finally developing the interface with ESP-r. After successful integration, the model results were validated on an experimental test cell, which consists of an approximately 2 m2 planted medium on an insulated box with facilities for thermal, moisture and drainage measurements. The results for the thermal validation were promising with the significant boundary temperature values within a root mean square deviation (RMSD) in the vicinity of 0.5 K, whereas the moisture validation results are found to depend on initial conditions, the lower layers showing an RMSD of approximately 0.05 m3/m3 and the top layer nearly 0.12 [m3/m3]. The model is also able to predict the slowing down of water run-off. A methodology for collecting soil and plant properties which are required to be used along with the program has also been described. Based on the current state of the model and also considering the new developments in green roofs, some suggestions are proposed at the end of the thesis as a continuation of this research.
5

Alzahrani, Abdulah. "Local travelling wave solutions and self-similar solutions for a green roof model". Thesis, Heriot-Watt University, 2014. http://hdl.handle.net/10399/2776.

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In this thesis we study travelling wave solutions and self-similar solutions for a green roof model and for some simpler models which are derived from that model. We focus on two limiting cases near a dry region and near a saturated region. We start by considering a convection model in the absence of diffusion and sink terms. We show that rarefaction waves and shock solutions exist for several cases. Next, we consider a convection-diffusion model where both the convective and diffusive terms are present and we show that travelling wave solutions and self-similar solutions exist for some cases. Moreover, numerical simulations are used for the travelling wave and self-similar solutions and confirm the analytic predictions. Finally, we consider the green roof model where all terms are present and we show that travelling wave solutions exist, whereas self-similar solutions are not found. We also show the travelling wave solutions exist for the two limiting cases.
6

Rivera, Brian. "Analysis of the Florida's Showcase Green Envirohome Water/Wastewater Systems and Development of a Cost-Benefit Green Roof Optimization Model". Master's thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2580.

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The Florida Showcase Green Envirohome (FSGE) incorporates many green technologies. FSGE is built to meet or exceed 12 green building guidelines and obtain 8 green building certificates. The two-story 3292 ft2 home is a "Near Zero-Loss Home", "Near Zero-Energy Home", "Near Zero-Runoff Home", and "Near Zero-Maintenance Home". It is spawned from the consumer-driven necessity to build a home resistant to hurricanes, tornadoes, floods, fire, mold, termites, impacts, and even earthquakes given up to 500% increase in insurance premiums in natural disaster zones, the dwindling flexibility and coverage of insurance policies, and rising energy, water and maintenance costs (FSGE 2008). The FSGE captures its stormwater runoff from the green roof, metal roof and wood decking area and routes it to the sustainable water cistern. Graywater from the home (after being disinfected using ozone) is also routed to the sustainable water cistern. This water stored in the sustainable water cistern is used for irrigation of the green roof, ground level landscape, and for toilet flushing water. This study was done in two phases. During phase one, only stormwater runoff from the green roof, metal roof and wood decking area is routed to the sustainable water cistern. Then, during phase two, the water from the graywater system is added to the sustainable water cistern. The sustainable water cistern quality is analyzed during both phases to determine if the water is acceptable for irrigation and also if it is suitable for use as toilet flushing water. The water quality of the sustainable cistern is acceptable for irrigation. The intent of the home is to not pollute the environment, so as much nutrients as possible should be removed from the wastewater before it is discharged into the groundwater. Thus, the FSGE design is to evaluate a new on-site sewage treatment and disposal (OSTD) system which consists of a sorption media labeled as Bold and GoldTM filtration media. The Bold and GoldTM filtration media is a mixture of tire crumb and other materials. This new OSTD system has sampling ports through the system to monitor the wastewater quality as it passes through. Also, the effluent wastewater quality is compared to that of a conventional system on the campus of the University of Central Florida. The cost-benefit optimization model focused on designing a residential home which incorporated a green roof, cistern and graywater systems. This model had two forms, the base model and the grey linear model. The base model used current average cost of construction of materials and installation. The grey model used an interval for the cost of construction materials and green roof energy savings. Both models included a probabilistic term to describe the rainfall amount. The cost and energy operation of a typical Florida home was used as a case study for these models. Also, some of the parameters of the model were varied to determine their effect on the results. The modeling showed that the FSGE 4500 gallon cistern design was cost effective in providing irrigation water. Also, the green roof area could have been smaller to be cost effective, because the green roof cost is relatively much higher than the cost of a regular roof.
M.S.Env.E.
Department of Civil and Environmental Engineering
Engineering and Computer Science
Environmental Engr MSEnvE
7

Nascimento, Cláudia Maria Loiola do. "Relação chuva-vazão nos telhados verdes modulares sob chuva simulada induzida". Universidade do Estado do Rio de Janeiro, 2015. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=9118.

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Abstract (sommario):
A perda de vegetação natural e o aumento das superfícies impermeáveis decorrentes da expansão urbana têm mostrado que os tradicionais sistemas de drenagem urbana são insuficientes e pouco adaptáveis às alterações de uso do solo. Uma das consequências disso é o aumento da velocidade do escoamento superficial (runoff) que favorece as inundações, com enormes prejuízos materiais e ambientais. As inundações ocorrem geralmente quando ha ocorrência de chuvas de alta intensidade. O objetivo deste trabalho foi estudar a contribuição dos telhados verdes modulares submetidos a chuvas de alta intensidade, 155mm/h com duração de 7,0 minutos para retenção e retardo do escoamento superficial. Além disso, foram determinados valores para parâmetros de modelos clássicos chuva-vazão: Método Racional (C) e CN (SCS), que poderá, futuramente, servir de modelagem hidrológica dos impactos da adoção de telhados verdes no controle das enchentes urbanas. A metodologia adotada foi de natureza experimental e envolveu a construção de bancadas com inclinação regulável para suporte dos módulos experimentais e um sistema para indução de chuvas com intensidade controlada. Foram estudados três modelos de sistema modular para telhado verde que permitem o armazenamento de água no fundo da bandeja que compõe os módulos, sendo 2 de 17,0 L (M-17 e F-17) e 1 de 4,0 L (M-4), nas condições de solo seco e solo úmido. Em cada módulo vegetado foram utilizadas 3 espécies de vegetação: Portulaca oleracea (Onze horas), Callisia repens (Dinheiro em penca) e Apnia cordfolia (Rosinha do sol). Os resultados demonstraram que os volumes retidos, calculados a partir da observação do runoff, nas diferentes situações, foram coerentes entre si e com dados relatados na literatura. Os módulos vegetados produziram os melhores resultados com solo seco e os piores resultados com solo úmido. O percentual médio de retenção, considerando todos os tipos de módulos, foi de 58% do volume total de água induzida, com retardo médio de 12 minutos no runoff. Os valores médios de C (Método Racional) foram 0,4, 0,48, 0,36, para os módulos M-17, M-4 e F-17, respectivamente e os de CN (SCS) foram 93, 95, 93, para os mesmos módulos. Conforme esperado, os maiores valores de CN foram para solos úmidos, mantendo a relação que quanto menor o volume retido, maior o runoff e o CN. O módulo F-17 foi o que apresentou melhor desempenho em todos os aspectos (redução do escoamento, retenção hídrica e retardo do runoff). Este estudo demonstra a boa contribuição que esse tipo de sistema pode proporcionar na retenção e retardo do escoamento superficial, mesmo para chuvas intensas de curta duração, principalmente após período de curta estiagem, situação comum em locais de clima tropical. Futuros estudos deverão avaliar o desempenho dos sistemas modulares de telhados verdes com outras características e intensidades de chuvas. A adoção de telhados verdes deve ser cautelosa, sobretudo pela carga extra que esse tipo de sistema representa.
The loss of natural vegetation and the increase of impermeable surfaces due to the urban expansion have shown that the traditional urban drain systems are ineffective and not much adaptable to the changes of ground use. One of the consequences is the increase of the speed of runoff, which furthers flood, with great material and environmental damage. The flood usually occurs because of stormwaters. The aim of this essay was to study the modular green roofs contribution, submitted to storms, 155mm/h lasting 7,0 minutes, in retention and delay of runoff. Besides, values were determined for these rain-flow classic model parameters: Rational method (C) and CN (SCS), which will be used for hydrological modeling of the effects of using green roofs to control urban flood. The methodology used is experimental and involved building worktops with adjustable inclination to support the experimental modules and a system for controlled induction of rain intensity. Three modular system models were studied for green roof which allow the storage of water at the bottom of the tray that the modules are made up, two are 17,0 L (M-17 and F-17) and one is 4,0 L(M-4), in dry soil and moist conditions. In each vegetated module three species of vegetation were used: Portulaca oleracea, Callisia repens e Apnia Cordfolia. The results show that the retained volume, calculated through observing the runoff, in different situations, are coherent with each other and have data reported in literature. The vegetated modules produced the best results with dry soil and the worst results with moist soil. The average percentage of retention, considering all the types of modules, was 58% of the total volume of induced water, with a 12 minute average delay on runoff. The average values of C (Rational method) were 0,4; 0,48; 0,36, to modules M-17, M-4 and F-17, respectively and the ones for CN (SCS) were 93, 95, 93, to the same modules. As expected, the greatest CN values were the ones for moist ground, keeping the relation of lesser retained volume and more runoff and CN. The module F-17 presented better performance in all aspects (flow reduction, hydric retention, runoff delay). This study shows the good contribution this kind of system may provide for retention and delay runoff, even for short duration heavy rains, mainly after dry season, common situation in places with tropical weather. Future studies should assess the green roofs performance of modular systems accounting other characteristics and types of rains intensity. Adopting green roofs must be cautious, especially the extra burden that such a system is.
8

Hsu, Shih-Jiun, e 徐士鈞. "Rainfall Runoff Model for Green Roof". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/6qqjtn.

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Abstract (sommario):
碩士
國立臺灣海洋大學
河海工程學系
102
The great mass of green land in urban areas has been turned into impermeable pavement due to rapid urbanization in recent years. It has disturbed the urban hydrologic system resulting in urban flood problem which can’t be solved by traditional methods such as building storm water sewerage system, building detention/retention ponds, etc. Therefore, the new wave of Low Impact Development (LID) techniques have been advocated in recent years in US and other western countries to mitigate non-point source pollutants and storm water in urban areas. Green roof is one of the techniques used in LID but research in the effectiveness in flood mitigation is rare in Taiwan The purpose of this study is to establish a hydrologic model to simulate the relationship between rainfall and runoff for green roof. The model is an event and physical model. Interception of plant, Green Ampt infiltration mechanism, media properties, storage capacity of drainage board, and other parameters have been considered in the model. Major parameters in the model are calibrated by observed data. The calculation procedures of the model are programmed using Microsoft Office Excel language. In the study, an experimental extensive type green roof with surface area of 3.2 m2 (L=2.0m x W=1.6 m), 1% in slope angle, 20cm of medium depth, covering with plant named Eremochloa Ophiuroides is set up on the roof of No. 2 Building, Department of Harbor and River Engineering, National Taiwan Ocean University. Also a meteorological station is set up near the green roof for measuring climatic data including rainfall, wind speed, radiation, and temperature. Observation period started from January 2014. Seven rainfall events are measured to the end of June 2014. Three events are for parameters calibration and four for verification. The sensitivity analysis is carried for two major parameters (initial moisture content and hydraulic conductivity). Results show that hydraulic conductivity will only influence the moving speed within medium not runoff and initial moisture content is the major influential factor to runoff. In the verification, average difference for peak flow between measured and simulated values is 2.2% and 1.1% for average total runoff volume. If we compare the hydrologic condition between before and after green roof is set up, peak flow is reduced 88.1% and 88.9% for total runoff volume. The model established in this study can effectively describe the rainfall-runoff relationship. Also green roof has significant effectiveness in mitigating storm water for low return period rainfall.
9

Lo, Wei-Hsuan, e 羅唯瑄. "Developing Green Roof Hydrological Model and Application in Stormwater Reduction Analysis". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/99168379752675684413.

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Abstract (sommario):
碩士
國立臺灣大學
生物環境系統工程學研究所
102
As impervious area increasing due to the urbanization, along with the impact of the climate change, a new strategy for the urban stormwater management is the distributed system, instead of the traditional centralized treatment and the rapid drainage system. Green roofs are one of the widely-implemented and effective measures. However, compared to other countries’ considerable research on the green roof, the associated research based on Taiwan’s climate and environment is relatively insufficient. Therefore, the purpose of this study is developing the water-balance hydrological model for the green roof, acquiring parameters and validating the model through experimental data. Also, through the observation and model application, the stormwater reduction performance of the green roof is evaluated in order to assess the service it can provide in stormwater management. The hydrological model for the green roof, NTU-GR, is introduced in this research, providing different priority calculation methods on the infiltration versus the runoff. The parameters used in this model can be divided into two categories; one is the physical characteristics of the medium, which can be obtained through the experiments, and the other comes from the calibration procedure. Based on the rainfall event, the model validation shows the average Nash coefficient is higher than 0.7, which implies the applicability of the model. According to the analysis of the observation data, green roofs can delay the peak for 0~1 hours, and retain 50% of total volume as well as peak value under the large rainfall events, which mean the total rainfall greater than 20 mm. Applying the model to appraise the green roof performance under the historic typhoon and design rainfall cases shows that green roof is not effective in terms of the long duration and high intensity rainfall event; in other words, it is necessary to increase the medium depth or cooperate with other measures to reach the limitation of the present drainage system. This study also preliminarily explores the ability of green roofs to take over other regions’ stormwater in expression of the additional green roof area so that it can achieve the overall stormwater reduction goal, thereby used as the planning and design tool in the future. In summary, this study develops the hydrological model and quantifies the green roof performance of the stormwater reduction. In the future, it is considered to combine with other distributed measures and incorporate into a community-scale stormwater management tool to enhance the adaptation of the stormwater impact in the urban.
10

Wei, Tai-Bing, e 魏太兵. "Study on Energy Saving Model and Benefit of Green Roof in Northern Fujian". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/zhj55k.

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Abstract (sommario):
博士
國立臺灣大學
土木工程學研究所
105
Building is the largest energy consumer, particularly during the stage of operation and maintenance. Energy consumption of building accounts for 80% to 90% of total energy consumption approximately. According to many researches, green roof is able to improve heat island effect in urban area, save building energy consumption and decrease flood peak as well as beautify environment. Nowadays, with current status of energy deficiency, more and more scholars attached particular importance to energy-saving effect of green roof. Especially in Japan, America and European nations, the green roof was positively promoted. Meanwhile in Taiwan the green roof construction was highly noticed. Governments including Taipei City, New Taipei City and Kaohsiung City were legislating to implement green roof. While in Mainland China, energy-saving effect of green roof was not paid much attention. Green roof were recommendations in many cases. It’s a key issue of this article to clear up that what’s the role of soil of green roof played in affecting temperature, and thus energy-saving benefit is achieved indirectly if considering energy saving of green roof only rather than other benefits. In this study, three experimental houses were built at Wuyishan City in Fujian Province. The temperature affection analysis of thin green roof with different soil thickness and moisture content is discussed. On the other hand, this paper studied the energy-saving benefit and optimization of green roof construction. Based on experiment, the environment and soil variables dated from 13th, Dec 2016 to 13th, Feb 2017 was collected. Also, a temperature influence model regarding temperature change of green roof was built by setting environment and soil variables as independent variable and chip surface temperature of green roof as dependent variable. In the modeling, the linear model which affects outer surface temperature of green roof was established base on hierarchical linear analysis method. At the same time, ANNS, CART, SVM were used to establish the nonlinear model to evaluate the effect of external surface temperature of green roof. Thus, the optimum thickness and moisture of soil built for green roof was explored in climate condition of northern Fujian. The results showed that, in the linear model, the Multilayer linear model can predict the temperature of the green roof more accurately. In comparison with the nonlinear model, ANNS can be better trained and predicted. In analysis of computing result, seen from climate environment of Wuyishan, Fujian, among the controlled variable, 20cm thickness of soil is the best combination. Moreover, 70% of Field Moisture Capacity should be given priority to the measured soil water holding in order to ensure the need of green roof plants. In order to analyze the effect of green roof on indoor energy saving, the finite element analysis software ANSYS was used to simulate the experimental roofs. The energy saving effect of green roof with soil set on indoor temperature and different roof insulation was discussed by using 22nd Jan 2017 as an example. Study has shown that the energy consumption of the air-conditioning can be reduced by about 4.55% when the green roof soil is set. The study also showed that the energy-saving effect of green roofs has much relation with thermal insulation capacity of the roof. Green roofs provide better insulation when the roof has poor heat insulation ability. The green roof has little impact on the indoor temperature if the building has better thermal insulation. The study also found that the temperature regulation of the green roof was also related to the local climate. The green roof would reduce the average indoor temperature in winter when the building was located in a cold winter region. It is concerned to gain benefit by input of energy saving techniques, so owner or designer hope to optimizing design scheme during design phase so as to guarantee favorable cost-effectiveness. The purpose of this study is to establish an analysis method for temperature influence of green roof, energy efficiency of green roof establishment can be quantified by modeling, thus provide basis for the owners in making decisions.

Capitoli di libri sul tema "Green roof hydric model":

1

Fan, Xiuyun. "The Innovation Model Research of Roof Garden of Green Building". In Sustainable Development of Water and Environment, 47–55. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16729-5_6.

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Moumen, Zineb, Soumaya Nabih, Ismail Elhassnaoui e Abderrahim Lahrach. "Hydrologic Modeling Using SWAT". In Advances in Environmental Engineering and Green Technologies, 162–98. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9771-1.ch008.

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The Innaoune Watershed represents an important hydric potential of the oriental part of Morocco. However, the basin exhibits a set of hydrologic drawbacks, such as floods, erosion, and pollution. This chapter is focused on flood forecast study. In order to help managers and decision makers to adopt the appropriate land management strategies for protecting the population from flood damages, the study of the hydrological behavior and quantification of water yield are paramount. According to this perspective, the main goal of this chapter is to test the ability of the SWAT model to simulate and reproduce the hydrological behavior of the upstream of Innaouene Watershed. The output of the model could be used to map, delineate, and forecast the floods expansion for a particular rainfall event. SWAT was performed on a daily time step from 2004 to 2012 for calibration and 2012 to 2014 for validation. The model accuracy was evaluated by measuring the Nash-Sutcliffe coefficient and R2.
3

Kaur, Inderbir. "Roof to Technology Implementation". In Critical Research on Scalability and Security Issues in Virtual Cloud Environments, 223–38. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3029-9.ch011.

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Cloud computing is an upcoming IT approach that presents various new economic benefits, effective rapid deployment of services to achieve ultimate benefits and goals. Cloud computing reveals an effective connection of internet and computing technologies with personal or business computing that is changing the environment of computing process by providing solutions which are designed, delivered and managed. This model is a remarkable shift from the traditional model of computing. The cloud is an attractive technology solution as it enables to reduce the total cost of ownership and giving “green computing” environment by energy saving concept. Use of Cloud computing technology in different areas provides greater opportunities in the overall development of world, especially India. This chapter throw lights on various dimensions in which cloud computing concept is used . This paper also reviews the potential and opportunities for cloud computing in the healthcare industry, tourism, defence and military applications and various another aspects.
4

Kaur, Inderbir. "Roof to Technology Implementation". In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, 1602–14. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5339-8.ch078.

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Cloud computing is an upcoming IT approach that presents various new economic benefits, effective rapid deployment of services to achieve ultimate benefits and goals. Cloud computing reveals an effective connection of internet and computing technologies with personal or business computing that is changing the environment of computing process by providing solutions which are designed, delivered and managed. This model is a remarkable shift from the traditional model of computing. The cloud is an attractive technology solution as it enables to reduce the total cost of ownership and giving “green computing” environment by energy saving concept. Use of Cloud computing technology in different areas provides greater opportunities in the overall development of world, especially India. This chapter throw lights on various dimensions in which cloud computing concept is used . This paper also reviews the potential and opportunities for cloud computing in the healthcare industry, tourism, defence and military applications and various another aspects.
5

Essefi, Elhoucine, e Soumaya Hajji. "Response of Erosion to Environmental and Climate Changes During the Anthropocene Within the Endorheic System of Mhabeul, Southeastern Tunisia". In Advances in Environmental Engineering and Green Technologies, 217–34. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8459-0.ch011.

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This chapter aimed to investigate the record of climatic and environmental change in the sedimentary filling of sebkha Mhabeul and their effect on hydric and eolian erosion within the wetland and its watershed. Along a 37 cm core, the sedimentary, geochemical, and geophysical signals at the Holocene-Anthropocene transition were followed. Sampling was carried out each 1 cm to obtain 37 samples. All studied parameters and clustering techniques indicate that the first 7 cm represent the Anthropocene strata. According to the age model, this upper part of the core records the last 300 yrs. The sedimentary record of the Anthropocene is marked by an increasing rate of sedimentation, grain size fining, heavy metals (Pb, Cu, Ni, Mn, and Fe) enrichment, which is related to increased erosion. Other intrinsic parameters such as CE, pH, Na, K, and CaCO3 enhance sediment erodibility. The measurement of the magnetic susceptibility along a 37 cm core collected from the sebkha Mhabeul shows an obvious upward increase related to a high content of heavy metals for the first 7 cm.
6

Pomar, Luis, Juan Ignacio Baceta e G. Mateu-Vicens. "The upper Miocene reef-rimmed platform of Mallorca (Spain): factory structure, growth dynamics and diagenesis". In Field guides to exceptionally exposed carbonate outcrops, 695–792. International Association of Sedimentologists, 2021. http://dx.doi.org/10.54780/iasfg3/13.

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The Llucmajor platform on southern Mallorca Island (Spain) is one of the best-exposed Miocene shallow-water carbonate platforms known in the world. Up to 90 m vertical sea cliffs provide a clean, continuous and detailed 3D view of the facies architecture and continuous cores from fifty-two water wells, affording information to interpret the 3D architecture of this 20 km-wide and only slightly deformed carbonate platform. Forty years of research on the Llucmajor platform provided insights into how the mutual interaction of biological and physical processes control the type of carbonate production and sediment dynamics which, along with changes in sea-level, determine the facies stacking patterns and the distribution of internal heterogeneities. Moreover, the ‘modern character’ of the carbonate-producing biota permits to capture the response of the carbonate system to changing ecological and oceanographic conditions. Although learnings from the Llucmajor platform do not apply to older platforms, it is this process-product type of analysis that can be applied to carbonate systems of all ages. Thus through this field guide, two carbonate factories working out of phase and with a non-linear response to sea-level changes are identified. A shallow-water euphotic (well lit) production (corals, red and green calcareous algae and associated heterozoan biota) predominated during rising sea-level when linear reefal rims grading to broad lagoons expanded and increased production and the sediment shed-off from these reef-lagoon systems built-out thick slopes. A deeper oligophotic (low light) factory expanded during the lowstands of sea-level when the light reached the basin floor; red algae, larger benthic foraminifers and molluscs were the prime producers. The Llucmajor platform grew up during the late Miocene, through the transition from greenhouse to icehouse climate that characterised the late Cenozoic. Its building blocks occur hierarchically stacked in response to the sea-level cyclicity. At the bed scale, the sigmoids consist of a lagoonal bed passing successively into sigmoidal reef core and then into slope clinobed and basinal deposits and bounded by an erosion surface onto the lagoon and reef and its correlative conformity basinward. Sigmoids stack in sets of sigmoids, these in cosets of sigmoids and these last in megasets, all of them fitting the characteristics of a depositional sequence when the genetic processes are analysed. Departures from the sequence model rely on the inter-dependence between depth gradient, the type of carbonate-producing biota and the ranges of sea-level cyclicity. Through the visit to a series of selected outcrops, this field guide offers a comprehensive assessment of the Llucmajor reef-rimmed shelf from the basin to the coral-dominated reefal margin and across the open-lagoon to restricted lagoon that defined the shelf top. The itinerary focusses on numerous topics and at different scales, from the study of discrete rock bodies to km-wide outcrop windows resembling high-resolution seismic profiles. The field guide integrates facies analysis, stratal architecture and distinct diagenetic features such as extensive secondary porosity after the dissolution of aragonitic components and pervasive dolomitization. Impressive sub-vertical collapse structures were produced by karstic dissolution during lowstands of sea-level and gravitational collapse of the roof complete the suite of diagenetic overprint. Altogether, the depositional and diagenetic attributes of the Llucmajor platform reveal a complex and highly heterogeneous carbonate system that is used as outcrop analogue for numerous Miocene carbonate reservoirs across the world.

Atti di convegni sul tema "Green roof hydric model":

1

She, Nian, e Joseph Pang. "A Deterministic Lumped Dynamic Green Roof Model". In International Low Impact Development Conference 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/41009(333)14.

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O'Keeffe, Gregory, Kathryn Schulte, Patricia Culligan, Franco Montalto e Wade McGillis. "Design of an Instrumented Model Green Roof Experiment". In GeoCongress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40971(310)138.

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Jarrett, A. R., W. F. Hunt e R. D. Berghage. "Evaluating a Spreadsheet Model to Predict Green Roof Stormwater Management". In Second National Low Impact Development Conference. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/41007(331)23.

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Crainic, Ramona, e Radu Fechete. "Advanced monitoring of a laboratory scale modular green roof model". In 12TH INTERNATIONAL CONFERENCE OF PROCESSES IN ISOTOPES AND MOLECULES (PIM 2019). AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0000340.

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Hong, Jing, e Dennis Michael Utzinger. "Reducing heat island effect: a mathematical model of green roof design". In 2021 Building Simulation Conference. KU Leuven, 2021. http://dx.doi.org/10.26868/25222708.2021.30240.

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6

Yeh, Chia-Hui, e Margaret P. Chapman. "A Non-linear Differentiable Model for Stormwater-based Irrigation of a Green Roof in Toronto". In 2022 IEEE Conference on Technologies for Sustainability (SusTech). IEEE, 2022. http://dx.doi.org/10.1109/sustech53338.2022.9794212.

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Frey, Geoffrey, Ming Qu, Margaret K. Banks, Arthur Schwab e Keith A. Cherkauer. "Thermal Properties of Green Roof Media During Plant Establishment and Growth". In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54937.

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In order to ascertain the efficiency benefits of green roofs for buildings, a thermodynamic model must be created for the green roof. This work focuses on the thermal properties (conductivity and specific heat capacity) of several media and how they are affected by root growth within them. The results of this research will be used in creating more accurate thermodynamic green roof models. For this experiment, three repetitions of 16 different planting/media combinations were used to monitor the changing thermal properties of the media with environment changes; a focus being on root growth. This experiment shows that the conductance is probably affected by root propagation.
8

Yang, Yige, e Cliff I. Davidson. "Thermal performance of a green roof based on CHAMPS model and experimental data during cold climatic weather". In 7th International Building Physics Conference. Syracuse, New York: International Association of Building Physics (IABP), 2018. http://dx.doi.org/10.14305/ibpc.2018.gb-2.05.

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De-Ville, S., e V. Stovin. "Application of a Conceptual Hydrological Model to Identify the Impacts of Green Roof Substrate Ageing on Detention Performance". In University of Sheffield Engineering Symposium. USES, 2015. http://dx.doi.org/10.15445/01012014.29.

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Sailor, David J., e Prem Vuppuluri. "Energy Performance of Sustainable Roofing Systems". In ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ht2013-17535.

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This study presents efforts to analyze how sustainable roofing technologies can contribute to the energy budget of buildings, and the resulting implications for heating and cooling energy use. The data analyzed in this study were obtained from a field experiment performed on a four story warehouse/office building in Portland, Oregon USA. The building’s roof includes a 216 panel, 45.6 kW solar photovoltaic array in combination with 576 m2 of vegetated green roofing. While most of the surface consists of green roof shaded by photovoltaic panels, the roof also has test patches of dark membrane, white membrane and un-shaded green-roofing. Interior and exterior surface temperatures were monitored over a period of two years and heat flux into the building is estimated using a finite difference conduction model. On average, the black roof membrane was the only roof that caused a net heat gain into the building in the summer. In the winter, all four roofing technologies resulted in net heat losses out of the building. Both the PV-shaded and un-shaded green-roofs indicated a net heat loss out of the interior of the building during both the summer and winter. This latter effect is largely a result of green-roof evaporative cooling — which can benefit air conditioning demand in summer but may be undesirable during heating-dominated seasons.

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