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            "abstractNote": "Land surface temperature (LST) derived from thermal infrared (TIR) satellite data is widely used in urban climate research due to the repetitive availability of data over large areas worldwide. LST directly reflects the interactions between urban surfaces, the atmosphere and human activities, supporting hotspots identification, comfort indices estimation or mitigation strategies planning. However, its use is limited by the spatial and temporal resolutions of current spaceborne sensors. The upcoming TIR satellite missions (LSTM, TRISHNA, SBG), with spatial resolution between 37 and 60 m and up to 3-days revisit, open up new opportunities to study urban climate at the neighborhood scale. At this scale, retrieving accurate and comparable LST over cities remains a challenge. Urban heterogeneity and 3D structure greatly impact satellite measurements, requiring a good understanding of 3D radiative processes for reliable LST estimates. Another challenge is the transition to air temperature, which is essential for improving comfort and quality of life in cities.To address these challenges, a model chaining approach is implemented to generate physically coherent datasets linking remote sensing measurements to microclimate variables over any urban configuration in order to investigate how they relate to each other. On the one hand, the DART radiative transfer model simulates radiative exchanges in the urban canopy and the corresponding remotely sensed images, provided that the surface temperature distribution in the 3D urban scene is known. On the other hand, the thermo-radiative model SOLENE-microclimat simulates the surface temperature distribution in the 3D scene required by DART, as well as the air temperature in the canopy but does not allow the simulation of multispectral satellite data. Chaining the two models bridges the gap between remotely sensed TIR parameters and microclimate variables. This presentation gives an overview of the modelling chain and presents some concrete examples of its application to urban climate studies.",
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            "abstractNote": "How does urban space shape small-scale pedestrian thermal environments in the context of intense heat? To answer this research question, various mobile sensing techniques are proposed recently. However, the assessment of thermal environments at pedestrian level is complex because of physical urban heterogeneity, highly variable microclimate conditions and dynamically changing environmental factors. Therefore, high spatio-temporal resolution data is needed, which implies adapted sampling frequency, low sensor inertia and suitable data post processing methods.In this context, this work aims to present the portable meteorological measuring prototype, Comfy’PACK (Comfort Pedestrian Assessment of CitywalKs), to improve microclimate and pedestrian thermal comfort zoning in a dynamically changing physical urban environment. The wearable device consists of air temperature, humidity, solar radiation, wind speed and mean radiant temperature sensors, a GPS and a thermal camera. The experimental site is an identified future de-sealing site in the city of Nantes (France), aiming to improve local outdoor thermal comfort. After a detailed physical characterisation of pedestrian pathways on site, mobile measures are repeated over several days, investigating transitions between different thermal ambiances. In this work we present the prototypes’ performances and its first application to an urban case study, evaluating small scale microclimate and thermal comfort conditions for pedestrians in relation with urban heterogeneity. Thermal comfort indicators are calculated, questioning their pertinence within various thermal environmental contexts. Data mapping will allow establishing a more detailed microclimate comfort zone classification. As part of the French research project PERMEPOLIS the findings will support the methodological development of soil de-sealing strategies and identification of alternative cool walking path in the urban space.",
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            "abstractNote": "In the context of global climate extremization, DIAMS project aims to develop a diagnostic tool to assess urban districts vulnerable to heatwaves, using thermal infrared (TIR) satellite data and microclimate modeling. TIR satellites offer cost-effective and broad spatial coverage, though current limitations in revisit frequency and spatial resolution are expected to improve with upcoming missions like TRISHNA, scheduled for launch in 2026.As part of DIAMS, a predictive meta-model has been developed to forecast district-scale surface and air temperatures over the next three days. The meta-model integrates spatial indicators (morphological, material, optical) and temporal indicators (air temperature, relative humidity, global horizontal radiation, wind speed) to forecast equivalent air temperature (Teq) and mean surface temperature (Tse). It is based on urban archetypes classified by the GENIUS tool [1], which identifies seven archetypes by morphological properties.In practice, morphological and spatial information is derived from BD TOPO maps provided by the French National Institute of Geographic and Forest Information (IGN), while TIR satellite data helps to parameterize materials’ thermal (effusivity) properties. Temporal data is sourced from weather stations. Currently, the meta-model has been developed for the \"Continuous Blocks\" archetype.In initial tests, weather data from July 11 to August 10, 2003 was applied to this archetype, with Solene-microclimate simulations generating Teq and Tse for this period. Meta-models were then developed based on these simulations and validated using weather data from August 9 to 13, 2009, with predictions showing good accuracy compared with numerical simulation results, achieving an MAE of 0.11°C for Teq and 1.08°C for Tse.Future work will expand the meta-model to more archetypes.",
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            "creatorSummary": "Bouyer et al.",
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            "itemType": "journalArticle",
            "title": "Microclimatic coupling as a solution to improve building energy simulation in an urban context",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Julien",
                    "lastName": "Bouyer"
                },
                {
                    "creatorType": "author",
                    "firstName": "Christian",
                    "lastName": "Inard"
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                {
                    "creatorType": "author",
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            ],
            "abstractNote": "To streamline the design of the energy efficient buildings, appropriate tools are needed to assess their energy performance taking into account the microclimatic context. Numerical simulation seems to be the most suitable issue, but none tool is dedicate to the direct evaluation of the microclimate influence on the building energy consumption. A complete solution could be to use both CFD and thermoradiative simulation tools complementary with the coupling technique perspective. This paper presents both a developed CFD-thermoradiative coupled simulation tool and a typical application on an urban fragment. The results lead to two kind of observations: - Integration of the thermal model of a building in the microclimatic simulation platform enable a quantitative evaluation of the building energy demand regarding different urban design scenarii (e.g. mineralized vs vegetated). - Different physical phenomena do not contribute as much in the energy balance and it is important to compute precisely each one to obtain the small scale microclimatic influence.",
            "publicationTitle": "Energy and Buildings",
            "publisher": "",
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            "date": "2011",
            "volume": "43",
            "issue": "7",
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            "pages": "1549–1559",
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            "DOI": "10.1016/j.enbuild.2011.02.010",
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                    "tag": "Energy consumption"
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                {
                    "tag": "Microclimate modeling"
                }
            ],
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            "creatorSummary": "Morille et al.",
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        "data": {
            "key": "N7R988G6",
            "version": 1452,
            "itemType": "journalArticle",
            "title": "SOLENE-microclimate: A Tool to Evaluate Envelopes Efficiency on Energy Consumption at District Scale.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Benjamin",
                    "lastName": "Morille"
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                {
                    "creatorType": "author",
                    "firstName": "Nicolas",
                    "lastName": "Lauzet"
                },
                {
                    "creatorType": "author",
                    "firstName": "Marjorie",
                    "lastName": "Musy"
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            ],
            "abstractNote": "Abstract\nThe building simulation tools available to evaluate energy consumption are numerous. Nevertheless, the main lack of the majority of these tools is the ability of consider the environment where the studied building is. Moreover, some of them impose strong constraints such as the choice of walls composition limited to several predefined walls or the value of the convection exchange coefficient which can not be modified.\n\nThe 3D numerical tool SOLENE-Microclimate takes into account the unsteady building thermal behavior using the SOLENE thermo-radiative model, which can (or not) be coupled with the outside airflow computed with the CFD tool Code_Saturne. The main advantage of this tool is the representation of the whole urban environment which can modify both radiation exchanges (short- and long-wave radiation) and meteorological condition outside the building. The urban planning impact can also be evaluated by taking into account green soil, walls and roofs or trees influences. Thanks to all these abilities, building envelopes efficiencies can be evaluated in realistic urbanconfigurations.\n\nAfter a presentation of SOLENE-Microclimate, three examples of projects dealing with the influence of considering or not the environment on envelope balance are exposed:•\nA study of the VegDUD project evaluates the influences of green walls and green roofs on building energy consumption.\n•\nThe project Merrubi studies the influence of both thermal radiation exchanges with environment and wind distribution.\n•\nThe project EVA aims to quantify of the modification of the albedo values several districts.",
            "publicationTitle": "",
            "publisher": "",
            "place": "",
            "date": "2015",
            "volume": "78",
            "issue": "",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "1165-1170",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Energy Procedia",
            "DOI": "10.1016/j.egypro.2015.11.088",
            "citationKey": "",
            "url": "http://www.sciencedirect.com/science/article/pii/S1876610215018202",
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            "tags": [
                {
                    "tag": "SOLENE-Microclimat"
                },
                {
                    "tag": "building thermal behavior."
                },
                {
                    "tag": "urban simulation"
                }
            ],
            "collections": [
                "CSKCD2IJ"
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            "dateAdded": "2016-01-04T11:23:19Z",
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    },
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            },
            "creatorSummary": "Rodler et al.",
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        },
        "data": {
            "key": "BJCUX3DW",
            "version": 1451,
            "itemType": "journalArticle",
            "title": "Thermal behaviour of a building in its environment: Modelling, experimentation, and comparison",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Auline",
                    "lastName": "Rodler"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sihem",
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                {
                    "creatorType": "author",
                    "firstName": "Marjorie",
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                },
                {
                    "creatorType": "author",
                    "firstName": "Julien",
                    "lastName": "Bouyer"
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            ],
            "abstractNote": "Abstract\nA building influences its surrounding external environment, and its indoor environment is usually sensitive to its surroundings. In order to obtain a more accurate prediction of the indoor thermal behaviour of a building or a building stock, it is necessary to consider the interactions between the indoor and outdoor thermal environments.\n\nThe modelling approach presented in this paper is based on a building energy model and the urban modelling tool SOLENE-Microclimat. A sensitivity analysis is undertaken to highlight the parameters which influence the performance of the building model. Then, the thermal indoor behaviour of a building is compared to in situ experimental measurements and the outdoor thermal environment is evaluated in terms of external surface temperatures. The model's accuracy and behaviour is evaluated and a crossover approach with the sensitivity analysis results is proposed. The model obtains a good level of performance for almost all variables, unless some external surface temperatures intervals.",
            "publicationTitle": "Energy and Buildings",
            "publisher": "",
            "place": "",
            "date": "2018",
            "volume": "168",
            "issue": "",
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            "partNumber": "",
            "partTitle": "",
            "pages": "19-34",
            "series": "",
            "seriesTitle": "",
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            "journalAbbreviation": "Energy and Buildings",
            "DOI": "10.1016/j.enbuild.2018.03.008",
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            "url": "https://www.sciencedirect.com/science/article/pii/S037877881733918X",
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            "tags": [
                {
                    "tag": "Building energy simulation"
                },
                {
                    "tag": "In situ thermal measures"
                },
                {
                    "tag": "Micro climate"
                },
                {
                    "tag": "Sensitivity analysis"
                },
                {
                    "tag": "urban simulation"
                }
            ],
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            "dateAdded": "2018-03-15T21:19:50Z",
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            "creatorSummary": "Bouzouidja et al.",
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            "title": "Simplified performance assessment methodology for addressing soil quality of nature-based solutions",
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                    "firstName": "Ryad",
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                    "firstName": "Béatrice",
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                    "firstName": "Jitka",
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                    "firstName": "Michal",
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                    "firstName": "Hervé",
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                    "creatorType": "author",
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                    "lastName": "Cannavo"
                },
                {
                    "creatorType": "author",
                    "firstName": "Thierry",
                    "lastName": "Lebeau"
                }
            ],
            "abstractNote": "In urban areas, soil functions are deeply impacted by all human activities, e.g., water infiltration, carbon storage, and chemical substances degradation potential. In this context, nature-based solutions (NBS) are assumed to deliver multiple environmental benefits for soil quality improvement. The H2020 Nature4Cities project (N4C) offers the framework to develop physical, chemical, and microbiological indicators to the performance assessment for addressing NBS soil quality (performance assessment of soil quality) to be included in a tool-box designed for architects or municipalities.",
            "publicationTitle": "Journal of Soils and Sediments",
            "publisher": "",
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            "date": "2020",
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            "journalAbbreviation": "Journal of Soils and Sediments",
            "DOI": "10.1007/s11368-020-02731-y",
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            },
            "creatorSummary": "Azam et al.",
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        "data": {
            "key": "9JB4KYUC",
            "version": 1494,
            "itemType": "journalArticle",
            "title": "Parametric PGD model used with orthogonal polynomials to assess efficiently the building's envelope thermal performance",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Marie-Hélène",
                    "lastName": "Azam"
                },
                {
                    "creatorType": "author",
                    "firstName": "Julien",
                    "lastName": "Berger"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sihem",
                    "lastName": "Guernouti"
                },
                {
                    "creatorType": "author",
                    "firstName": "Philippe",
                    "lastName": "Poullain"
                },
                {
                    "creatorType": "author",
                    "firstName": "Marjorie",
                    "lastName": "Musy"
                }
            ],
            "abstractNote": "ABSTRACT Estimating the temperature field of a building envelope could be a time-consuming task. The use of a reduced-order method is then proposed: the Proper Generalized Decomposition method. The solution of the transient heat equation is then re-written as a function of its parameters: the boundary conditions, the initial condition, etc. To avoid a tremendous number of parameters, the initial condition is parameterized. This is usually done by using the Proper Orthogonal Decomposition method to provide an optimal basis. Building this basis requires data and a learning strategy. As an alternative, the use of orthogonal polynomials (Chebyshev, Legendre) is here proposed. Highlights Chebyshev and Legendre polynomials are used to approximate the initial condition Performance of Chebyshev and Legendre polynomials are compared to the POD basis Each basis combined with the PGD model is compared to laboratory measurements The influence of four different parameters on the accuracy of the basis is studied For each approximation basis, CPU calculation times are evaluated and compared",
            "publicationTitle": "Journal of Building Performance Simulation",
            "publisher": "Taylor & Francis",
            "place": "",
            "date": "2021",
            "volume": "14",
            "issue": "2",
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            "pages": "132-154",
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            "journalAbbreviation": "null",
            "DOI": "10.1080/19401493.2020.1868577",
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            "ISSN": "1940-1493",
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            "dateAdded": "2021-01-11T08:50:49Z",
            "dateModified": "2025-08-01T09:29:12Z"
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