Keywords

1 Introduction

The average planet temperature is rising, and cities’ are following at a doubled rate due to the phenomenon of urban heat island (UHI). At the latest United Nations Conference (COP 26) for climate change, that took place in Glasgow, the United Nations Environment Programme (UNEPFootnote 1) has presented a manual designed to guide governments in the prevention and mitigation of the negative effects of UHIs. Among all the strategies displayed throughout the handbook, the ones providing “public shading structures” are considered the easiest and most effective ones to be implemented and therefore achieve the highest benefits.Footnote 2

The research is part of the largest ongoing research on the city’s potential transformation, carried out by the UR of Roma Tre University in Rome. In particular, the study observes the proximity of buildings in order to identify the actions that ideally take action on climate change effects in urban areas. Roma Tre’s research group is operating in the context of a bigger project, conducted by six universities and research centers: PRIN 2017—TECH-START—key enabling TECHnologies and Smart environmenT in the Age of gReen economy. convergent innovations in the open space/building system for climaTe mitigation.

2 State of the Art

Protection from solar radiation is a widely developed topic in scientific literature, both regarding buildings and external spaces. From traditional applications, as the case of Sevillian tents spreading between buildings of the historic city center, along with contemporary projects, such as the city of Masdar City in the Arab Emirates designed by the studio Foster + Partners, or more experimental structures, as the Solar tree of the German pavilion at EXPO 2015 in Milan or the Promenade of EXPO 2020 in Dubai, the most intuitive ways for human-beings to tolerate heat have always involved shading (Fig. 70.1).

Fig. 70.1
A set of 6 photographs. The photos exhibit different shading systems applied in the open spaces exposed to sunlight.

(Source author’s photos)

Shading systems, Dubai Expo 2020 Promenade—January 2022

Along with different material canopies, planting in urban environments has been yet another solution of sure validity to screen street surfaces and building stories; however, implanting tall trees remains impossible in many built areas, causing exposure to heavy radiation loads for every irradiated element; this is why, especially in warmer countries during summertime, a large amount of heat gets accumulated inside and outside buildings, leading to air-conditioning exploitation. Studies on the efficacy of urban veils (Garcia-Nevado et al. 2020) state that up to 6 ℃ of temperature reduction can be obtained with shading systems. The degree reduction span is mainly dependent on which orientation does the investigated road spread over; along with this, differences in results are due to the percentage of perforation of the fabric (Solar Absorbance) and the reflectance power of the material (Solar Reflectance). Integration of thin-film photovoltaic technology in membranes, albeit being an ongoing scientific and industrial development, is the key concept for the proposed study: a drapery with embedded solar cells can perform the double function of shading and producing energy (Xiang et al. 2021).

Therefore, we’ve set up a case study that pivots around photovoltaic textiles that are composed of natural and polymeric fibers I-Mesh (Cesario 2017). We’ve worked on a Building Information Modeling (BIM) based mock-up. This model allowed us to observe how the imagined solar veils impacted on the urban context of Testaccio district in Rome, and consequently estimate how to tailor their characteristics to different needs.

The adaptive velarios were, indeed, conceived as adjustable elements whose texture can be adjusted to a range of spot-specific demands, insisting on both SA and SR factors.

2.1 Targets

  • Verify the effectiveness of the shading solution on city-streets tracks

  • Evaluate the best shape and position of the textile canopy in order to lower surface temperature of buildings

  • Identify the most suitable solar-cells-weaving for the veils surface (that directly affects the Solar Absorbance Factor) as a function of the radiation intensity.

2.2 Case Study

The Testaccio district, in Rome, is the urban context for this study, and it is characterized by a homogeneous configuration of regular routes and squared block buildings. It has been affected by numerous redevelopment projects in recent years, and this, for us, makes it a setting of favor for innovative environmental technologies research.

The application of an urban-scale active shading system, has been set on a selected quadrant, that’s bounded by Via Luigi Vanvitelli to the north, Via Nicola Zabaglia to the west, Via Galvani to the south and Via Marmorata to the west. Within this portion of the city, two roads have been chosen on the basis of their features; in fact, the aim was to examine how the shading solution responded to different conditions and, thereby, how to modify targeted parameters in order to enhance its performance. As a starting point, we set three default solar curtains of different geometries and imposed three incremental values for percentage of absorption of the solar flow of the fabric, so that the shielding could be boosted if required.

3 Methodology

3.1 Equipment

The study was carried out simulating the radiation conditions of the site surfaces with a three-dimensional model of the selected urban area, in such a way as to quantify the accumulation of thermal energy in the outer walls of buildings. The support used is Autodesk Revit 2022 software, which is based on BIM. This program offers the possibility to perform solar radiation analysis thanks to a plug-in: Autodesk Insight. In order to run the process, the first data to be provided are type of analysis, period of the year and time interval of observation. Furthermore, geolocation settings allow to simulate a realistic scenario.

3.2 Site

The two roads selected for the analysis of solar radiation have opposite orientations; they meet at right angles and the roads’ transversal span and extension are similar; these latter features have less impact on the results, enabling a deeper focus on the characteristics of the surrounding (i.e. proximity to urban voids or buildings, presence planting and green areas or dense built-up area…). As follows, we collected the foregoing information about Aldo Manuzio and via Mastro Giorgio (Table 70.1).

Table 70.1 Analyzed streets characteristics

For each route, the study was set up choosing three road sections, corresponding to three building plots with different boundary conditions; from these different points of observation, it was possible to identify two categories of varying properties:

  • Architectural characteristics

  • Environmental conditions.

As for the architectural factors, the following variations could be pointed out:

  • Height of buildings

  • Morphology of facades

  • Position and amount of openings

  • State of preservation of masonry.

The environmental factors are.

  • Orientation of irradiated ground areas and external surfaces of the structures

  • Path and height of the sun.

Since we can’t operate on the environmental traits, it became necessary to lay out a modulation of the solar blinds instead. Choosing three fixed standard shapes and three progressive shading factors, we configured types as the baseline of our study. To respond to the architectural and environmental factors previously listed, the default geometries are: quadrangular, trapezoidal, triangular (Table 70.2).

Table 70.2 Geometry of solar veils and solar absorption factor of their fabric

The ability of the fabrics to filter the incident solar flow (Absorbance Factor) has been set at an initial minimum value of 30%. The adequacy of this basic value has first been verified as the initial step of the analysis and design process.

If the results are not satisfactory in the starting examination, this may lead to an increase in the Absorbance Factor (AF). The other percentages of radiation absorption were set at 60 and 90%, so as to estimate a noticeable increase in shading performances by doubling and thirding the original SA factor of the fabric.

An additional variation of the standard solutions could be set on the reciprocal position of the hanging supports of the sheeting; based on the aesthetics and configuration of facing buildings, one portion of the same road can be suitable for top level anchorages, either aligned or unaligned, or for a height-varying hanging deployment between its two sides.

The following unfolded workflow is based on a cumulative radiation analysis, which indicates the total energy load insisting on an area in a set period of the year, and it’s expressed in kWh/m2. In this case, the results show a single day cumulative analysis.

The date refers to the first day of June (1 June), which has been chosen as the starting point for investigating the whole summer temporal span in a later development of our research.

3.3 Analytical model in Autodesk Revit.

Navigating Revit’s modeling interface, an Analyze section can be found between the other BIM disciplines. The installation of Insight plug-in provides Solar Analysis and Light Analysis tools (Fig. 70.2). This paper deploys the workflow for the solar analysis, as the main focus of the investigation is to quantify the solar energy radiation on buildings and street pavements. The available solar analysis types are Cumulative Insolation, Peak Insolation and Average Insolation, and they determine the energy loads stored inside the elements of the model. This can be built simply using default Autodesk Revit families for walls and roofs. In fact, there is no need to customize the elements with physical information as the solar radiation analysis does not take into account material features.

Fig. 70.2
A screenshot of a computer-aided design application. It exhibits a 3 D view of a space surrounded by buildings. It highlights the modify option under the analyze tab in the menu ribbon at the top.

(Source Autodesk Revit)

Interface and analysis tools

The following method is the one adopted to develop the Adaptive Velario research; thus, the steps are illustrated providing illustrative information relative to the context of this study.

The initial key data to be included in the model are.

  • Geolocation of the site: Testaccio, Rome

  • Type of study: one day solar study

  • Date: 1 June (Fig. 70.3).

    Fig. 70.3
    A screenshot of a dialog box titled sun settings. It denotes the settings for solar study, which are set for a single day, location, date, time, frames, time interval, and a set of preset values.

    (Source Autodesk Revit)

    Sun settings

The next step is to generate a duplicate of the model (named energy model) from a three-dimensional view, as the Insight plug-in does not run in bi-dimensional views. Therefore, starting the analytical process requires to provide the software with a few further inputs:

  • Study Type: custom

  • Surfaces: user selection

  • Type and units: cumulative insolation—kWh/m2 (Fig. 70.4).

    Fig. 70.4
    A screenshot of a dialog box titled solar analysis. It denotes the details of the study type, surfaces, and results, along with the settings related to the results.

    (Source: Autodesk Revit)

    Solar analysis settings

We can now proceed by selecting wall and roof surfaces in the model. The surfaces in question are.

  • Ground surface of the road

  • Vertical surfaces of facades that define the road (Fig. 70.5).

    Fig. 70.5
    A 3 D illustration of the solar analysis output. It exhibits the heat map of the ground exposed to solar energy, ranging from 0 to 7 kilowatt-hours per square meter within a fixed interval.

    (Source Autodesk Revit)

    Solar analysis output at ground level

By updating the analysis window, the cumulative insolation loads are shown both in kW/h and kWh/mq units.

Aiming to compare a lifelike scenario and a virtual simulation of how the designed velarios would perform in reality, it is necessary to target the right options for shading system modeling. Solar curtain modeling requires several consecutive steps to create recognizable three-dimensional elements, which the software can run the simulation with. The program does not provide a special category for shading systems. In contrast to what previously said about the irrelevance of assign material characteristics to wall and roof families, the only way to make the solar fabric interact with the analysis tool is editing the element’s material parameters.

The surface type in question is provided in the basic Revit material library: Analytical Surfaces—Shades.

The following steps are.

  • Roofing elements modeling using a basic Roof family (Fig. 70.6)

    Fig. 70.6
    A screenshot of a computer-aided design application. It exhibits the details of the constraints, construction, slab shape, dimension, and phasing of the roof along with a 3 D design. The menu ribbon at the top highlights the modify option under the tab labeled modify roofs, edit footprint.

    (Source Autodesk Revit)

    Shading elements design: Roof tool

  • Determination of geometry to be chosen between the three standard ones

  • Editing type properties of the element: thickness and material

  • Type duplication: three analytical roofing types must be created

  • Setting the Absorptance parameter of the three types between 30, 60 and 90% (Fig. 70.7).

    Fig. 70.7
    3 screenshots of dialog boxes arranged vertically. The top one represents a table with the details of construction, graphics, analytical properties, and identity data. The middle one denotes the thickness, resistance, and thermal mass of the basic roof. The bottom one exhibits the settings for the analytical surface shades.

    (Source Autodesk Revit)

    Shading elements material parameters editing steps

4 Solar Analysis Development

At first, the solar analysis has been performed on the model to produce results that simulate the starting condition of the examined roads (Fig. 70.8).

Fig. 70.8
A set of 6 illustrations of solar analysis output. It exhibits the heat map of the ground and buildings exposed to solar energy, which ranges from 0 to 7 kilowatt-hours per square meter. The buildings and grounds are exhibited from top and side view angles.

Solar analysis output: via Aldo Manuzio; via Mastro Giorgio—Before—Autodesk Revit

After the creation of solar veils with Absorptance Factor (AF) of 30% and the setup of different position hanging supports according to the morphology of the buildings, the analysis process has been repeated.

We have therefore evaluated the compliance of the basic solution of the fabric with a 30% AF factor to the shading needs of the different cases (Fig. 70.9). In the eventuality of unsatisfactory solutions, the AF factor of the veil could be gradually increased and the analysis of the sector run as many times as required (Table 70.3).

Fig. 70.9
A set of 6 illustrations of the solar analysis output. It exhibits the heat map of the ground and buildings exposed to solar energy, which ranges from a minimum value of 0 to a maximum value of 7 kilowatt-hours per square meter. The buildings and grounds are exhibited from top and side view angles.

Solar analysis output: via Aldo Manuzio; via Mastro Giorgio—After—Autodesk Revit

Table 70.3 Adaptive Velari parameters description

5 Solar Analysis Results

The comparison between the before and after scenarios is now summarized by observing results from quadrant 2B and 2E (Fig. 70.10). Via Aldo Manuzio spreads from West to East (to simplify), which means that the facades facing North are sun-lit during the first hours of the day, when temperatures are lower than the rest of the daytime. At the same time, facades facing South get insulated from midday, when they get affected the most by solar energy loads, to sunset; however, during the latter hours of the day, these facades are shaded by the facing buildings (Fig. 70.11).

Fig. 70.10
An illustration exhibits a construction drawing from the top-view angle. It highlights the passages between the buildings from different directions and at different time intervals.

Analyzed sectors. The coding indicates portions and sections along the streets’ extension—Autodesk Revit

Fig. 70.11
An illustration comprises 2 D and 3 D drawings and heat maps. It indicates the position of the groups of buildings and highlights the passage between them, denoting the exposure of solar energy before and after the application of the shadings.

Analysis output comparison: via Aldo Manuzio—Autodesk Revit

The observation of this phenomenon brought us to the conclusion that a simple Absorption factor of 30% could be sufficient for this case. In terms of energy loads, the difference between the before and after results is mostly valuable for the ground surface. The road can be affected by a solar energy of 1 to 5 kWh/m2. The simulation after installing the veil provided a reduction of up to 1 kWh/m2 (Fig. 70.12) (Table 70.4).

Fig. 70.12
An illustration comprises 2 D and 3 D drawings and heat maps. It indicates the position of the groups of buildings and highlights the passage between them, denoting the exposure of solar energy before and after the application of the shadings.

Analysis output comparison: via Mastro Giorgio—Autodesk Revit

Table 70.4 Results details

Via Mastro Giorgio spreads from South to North which means that it gets irradiated during the middle part of the day, when sun height is at its highest and so do temperature (Fig. 70.13).

Fig. 70.13
An illustration exhibits a set of 2 D and 3 D drawings of the position of a group of buildings along with heatmaps indicating the exposure of solar energy. The heatmaps indicate the effect of the shading across the passages between the buildings.

2B quadrant—via Aldo Manuzio: results comparison—Autodesk Revit

This portion of the site has been verified with successive steps. It required to be tested with all the three options of AF (30, 60 and 90%) and only the last one got a decent reduction of insulation and energy load. The surfaces showing a valuable difference with a 90% AF are the South-West facing facade and the ground surface, that could, respectively, accumulate an amount of solar energy equal to 4 and 5 kWh/m2 (Fig. 70.14 and Table 70.4).

Fig. 70.14
An illustration exhibits a set of 2 D and 3 D drawings of the position of a group of buildings along with heatmaps indicating the exposure of solar energy. The heatmaps indicate the effect of the shading across the passages between the buildings.

2E quadrant—via Mastro Giorgio: results comparison—Autodesk Revit

6 Conclusion and Future Perspective

In this initial phase of the research, we had the validation that systems such as velars, mounted at the top of buildings are able to produce a significant reduction of temperatures on the surfaces of urban canyons. The reduction of the stored heat load varies depending on the orientation of the road and how the sun radiates on the outer walls of the buildings; as a consequence of environmental effects on street surface and on facades, the type of fabric can be chosen from three Solar Absorbance values: 30, 60 and 90%.

Future developments will consist in studying a further modulation of fabric texture, in order to obtain point-directed shading, insisting where it’s strongly needed and a looser tissue density where it is not; this facilitates ventilation and light permeability, along with inhabitants’ well-being. Moreover, the research aims to outline the embedding of thin film PV cells into the velarios for in-site electricity production.