Four main daylight strategies are classified to capture, transmit, control, and distribute daylight, as shown in Fig. 2. Then, the application areas are identified to address strategies during the design process, and then classify the different components of the building to design the daylight strategies.
Fig. 2. Daylight strategies approach in the office building.
Table 3 shows the preferable design criteria for office spaces with side lighting. These recommendations are suggested as a guide to achieving a base design with energy savings since energy and thermal simulations are not part of the evaluation of this study. The keys are to minimise the distance between the core and the perimeter, to ensure visual access to outdoors and proper levels of daylighting, coordinate the spatiality as per daylight requirements, and optimise the envelope developing strategies to capture, transmit, and control the daylight/sunlight. The aperture location criteria for daylight capture are not analysed, as this study focuses on lateral illumination in vertical fenestration as an initial hypothesis.
Table 3. Design criteria for side-lit office spaces: applications areas and building components.
3. Evaluation of strategies in side-lit office spaces
3.1. Experimental side-lit office prototype
The experimental office prototype is a theoretical model designed following the criteria in Table 3, meant to be prototype 1. As shown in Fig. 3, it has a simplified geometry as a fixed variable, with a square floor plan with 9.15 m along the sides based on the maximum distance from the occupant to the window to guarantee outside view and daylight provision. The height is 3.00 m increasing the ceiling in the perimeter near the windows to 3.35 m, to improve daylight with a reflective surface.
Fig. 3. Design criteria for side-lit office spaces: applications areas and building components.
The orientation of the opening is in the wall facing north, as the recommendations for buildings with energy savings indicate a preferring window oriented to the north and south [40,47] and considering that the development of this work is in the southern hemisphere. The window-wall ratio is WWR 40%, and it is in the centre of the wall. The window size is 5.0 m wide, and 2.5 m high and vertically is divided into two sections: a view window (VW) between 0.8 m and 1.4 m high and a daylight window (DW) from 2.2 m to the ceiling. The beginning of the window at 0.8 m guarantee views out. In the prototype does not consider internal partitions because it is a standard office. Neither solar control nor daylighting devices, because it is a base unit that will be optimised with passive strategies applied in different contexts in the following section.
The surface reflectance values were defined according to the European Standard EN 12464-1:2011 ceiling 0.60-0.90; wall 0.50-0.80; and floor 0.10-0.50 . Other reference values are 0.50 for wall and 0.70 for the ceiling in the case of Low reflective surfaces (Lr) or 0.70 for the ceiling; 0.80 for high reflective ceiling and 0.40 the floor in the case of High reflectance surfaces (Hr) . For fixed external obstructions, 0.50-0.60 equivalent to concrete reflectance measured in other investigations is considered . For the windows, the visible light transmittance is 0.70-0.79 according to the Chilean standardisation codes . The resulting values used as input are listed in Table 4.
Table 4. Surface reflectance values for office building prototype.
3.2. Optimised daylight strategies for climate contexts
This section develops the optimisation of prototype applying passive strategies in the three cities of Chile. As a result, three models are proposed (one for each city). The optimisation method prioritised the performance of daylight designers to select effective strategies, based on the design tools reviewed [43,44,17]. The criteria depend primarily on the evaluation of the prevailing skies, lighting conditions and the needs for daylight control or distribution.
In the city of Calama, where radiation carries a potential risk of overheating and glare, the goal is to control direct sunlight throughout the year. In Santiago, the focus is on seasonal solar regulation to limit direct sunlight during summer and equinoxes periods; and allowing winter sunlight for passive gain. In Puerto Montt, the criterion is to maximise daylight and capture sunlight in winter and equinoxes periods and limit direct sunlight during summer. Figure 4 shows strategies for each optimised case in an architectural section.
Fig. 4. Prototype 2: optimised models with passive solar strategies in different climate contexts.
Table 5 shows the strategies for each case study. They are classified according to sunlight control, daylight distribution, and special considerations for the reflectance of materials or windows. Each one details solutions or devices to apply as fixed and dynamic shading, horizontal overhang, light shelves, diffuser screens, indicating whether the strategy is recommended or not for the context.
Table 5. Description of strategies applied for the definition of prototype 2 in the different climate contexts.
In the following section, the simulation results of the three 'prototypes 2' models for each climate, are presented and discussed. Also, the experimental office 'prototype 1' and the fully glazed façade 'prototype 3 'are simulated in each context. A total of 9 dynamic simulations are presented (3 prototypes in the 3 study contexts), to compare and discuss the performance of the metrics.
4.1. Daylight assessment of optimised models
Daylight results show a false colour scheme with the daylight pattern measured at sensor grid height 0.80m and sensors every 0.50m x 0.50m. Each grid shows the average annual value measured at the sensor during the occupancy hours, representing the annual illuminance sufficiency in SDA300lx, 50%; the direct sunlight more than a specific number of hours per year in ASE1000lx, 250h; and the annual occurrence of daylight quality in the range UDI100-3000lx. Also, the assessment provides a total annual average of the grid values, analysed to determine the compliance with the target values set out in Table 2.
Prototypes 2 mostly achieve the objectives defined for compliance with the metrics, summarised in Table 6.
Table 6. Summary of the daylight simulation results of 'prototype 2' by city. (Source: Own elaboration).
Regarding daylight performance prototypes 2, the case of Calama presents an annual average SDA of 56% and ASE of 10%, the range UDI-c indicates 91% and UDI-e is 3%, meeting in all cases the target values. The prototype optimised for Santiago presents an annual average SDA of 55% and ASE of 6%, the range UDI-c indicates 86%, and UDI-e is 2%, fulfilling the target values. The prototype optimised for Puerto Montt presents an annual average SDA of 57% and ASE of 22%, meeting the SDA values but not effectively controlling sunlight. The annual average in the range UDI-c is 73% not meeting the targets, and UDI-e is 6%. This last percentage shows that if other devices were added to control excessive illuminance, UDI-c still below the 80% required, and compliance would not be achieved either.
Regarding the dynamic metrics performance, in all cases, SDA> 55% but not ASE <20% as it does not meet in the Puerto Montt case. It is consistent with the strategies implemented to take advantage of passive solar gains because no dynamic solar devices have been configured in the simulation model. As for the UDI scheme, the Calama and Santiago cases reach a UDI-c > 80% of the given area, but it is not enough for Puerto Montt. It is not caused by excessive illuminance. It is key to see the behaviour of the UDI scheme, where it is noted that there is a large percentage of the area (UDI-f 19%) that does not reach the minimum levels of illumination for comfortable visual environments. Probably because in the diffuse overcast sky, the lighting is low to provide adequate levels of illumination in spaces with side lighting. In this case, the percentage out of range is configured with UDI-f > UDI-e, so to increase UDI-c, it would be necessary to capture more daylight instead of limit glare.
Concerning excessive lighting, false-colour schemes ASE and UDI-e are indicated in the immediate area of the window, being higher in ASE than in UDI-e. Although they show the tendency, it seems that the boundary in ASE is more restricted and accurate to define overlit areas.
Figure 5 shows the false-colour schemes for the metrics sDA, ASE, UDI-c, UDI-a, UDI-f, and UDI-e resulting from the dynamic simulation for Santiago prototype, indicating the percentage achieved in the optimised model. The complete set of false colours of the six dynamic metrics analysed for each context is given in Appendix A.1.
Fig. 5. False-colour schemes of the dynamic simulation for prototype 2- Santiago.
4.2. Daylight glare probability verification
The glare probability is calculated using the DGP index, to detect if discomfort glare occurs in the visual scene and verify the accuracy of the results provided by the upper-lit methods calculated in the previous section. The subject's field of view most unfavourable is objectively analysed as a seat position near the window. It is performed in a point-in-time glare analysis on the 21st day at 13h00 (as it is oriented to the north) in the seasonal periods on the prototypes optimised context. The subject's position and results are summarised in Table 7.
Table 7. DGP results of prototype study 2 in the different climate context.
In Calama and Santiago, the occurrence of glare is imperceptible or perceptible (DGP<40%), so there is no direct sunburst in the field of view, and it is consistent with the prediction results of previous assessment methods. In Puerto Montt, the glare is imperceptible in three seasonal periods, but distorting in December (summer) with DGP 41%. Although in no case exceeds the maximum target defined for verification, DGP<40% is preferable to the efficiency of sunlight control strategies. It is also consistent with previous evaluation methods but permits to identify the period in which distorted high values occur. It is assumed that dynamic solar control devices will be useful to reduce the brightness of direct sunlight exposure in this period.
Figure 6 shows the luminance maps and evalglare scene for 'prototype 2' located in Santiago, indicating the point in time glare probability from the subject's position. The complete set of visual scenes can be found in Appendix A.2.
Fig. 6. Glare probability for prototype 2- Santiago.
4.3. Evaluation of the passive daylight strategies optimised for climate contexts
This section presents and discusses the results of the 9 dynamic simulations resulting from the three prototypes defined in the three climatic contexts. The results of the simulations are summarised in Table 8, while the complete set of false-colour shades for each climate is found in Appendix A.3.
Table 8. Summary of daylight results comparisons of three prototype models in three contexts. (Source: Own elaboration).
Prototype 3, glazed facades models have shown high levels of illuminance in all contexts with SDA 100%>55%. Also, values exceeded ASE>20% in a range between 27% to 51% depending on the context - increases at higher latitudes when the solar angle is lower and lighting deeper in space. In terms of UDI, do not comply with UDI-c 80%. The false-colour scheme shows the area closer to the window is excluded from the range for being overlit, keeping constant in 20% for all contexts. The values outside range are unbalanced, UDI-e > UDI-f, and suggests the space is too bright and may cause discomfort. The results are consistent with previous studies in Chile [7,8].
Prototype 1, experimental base models with reduction of windows sizing as recommended for energy-saving, shows a decrease of general lighting levels. However, sDA still meets the goals of achieving >55%. Although ASE levels decreased concerning prototype 3 – mainly in Puerto Montt-, continue exhibiting over-lit. In terms of UDI, the UDI-c improved the values >80% in Calama and Santiago but is insufficient in Puerto Montt, achieving 73%. The results show the sizing window as a daylight impact strategy, mainly in an overcast sky. However, passive solar optimisation is required in all contexts.
Prototype 2, optimised architectural models are closer to goals. In all locations, there is a significant reduction of sDA, particularly in the back of the space; however, the occurrence of illuminances higher than 3000lx and the sunlight exposure are significantly reduced, meeting goals. Besides, UDI-c predicts a highly favourable optimisation in the regularly occupied area, according to UDI-e optimisation, from 20% to less than 6% in all cases. The passive strategies applied reduces the exceeded illuminance, and it is captured within the useful range of 100-3000 lux.
As expected, indicators referring to high illuminance (ASE and UDI-e), which are potential generators of overheating or glare, show the most significant variation in the cases depending on the predominant CIE sky and the availability of solar radiation from different climates.
In previous sections, the improvement of daylight is shown to achieve a balance between illuminance levels and glare control through the integration of passive strategies. Also, different dynamic metrics are analysed to evaluate the performance of strategies, exposing how the parameters are related to each other and on different sky conditions, showing their potential as a proxy for glare during the design process.
On the one hand, the use of SDA, ASE suggests that there is a proportional relationship between them, and the illuminance levels decrease as the direct sunlight decreases. Consequently, in side-lit north-facing spaces, the application of fixed external shade devices to achieve an ASE below 20% decreases the illuminance levels, being more feasible to achieve an acceptable SDA level of 55% than superior levels of 75%. The UDI scheme is not such linear but provides definitions to balance daylight. When UDI-f > UDI-e suggests that more daylight would be required, so the strategies will focus on increasing daylight. But when UDI-f < UDI-e, the suggestion is that direct sunlight can cause glare problems and the strategy will be to control the overlit. Therefore, the objective should be set to keep UDI-f and UDI-e proportional to achieve an equal illuminance.
On the other hand, the difficulty of overcast sky designs to meet the goals of the proposed methods. Therefore, it leads to a discussion on the need to review the validation thresholds of illuminance and sunlight exposure, regarding the location and impact of latitude and climate on compliance. Looking at the ASE metric and returning to the opinion about its very restrictive threshold, quantitative results and illuminance distribution maps found a correlation between ASE and UDI-e range; it suggests that the ASE threshold is correctly delimited. However, when passive solar gain strategies are proposed with user-operated dynamic control devices (as in Puerto Montt case), it is a challenge to achieve the right balance of SDA - ASE, since the method only considers fixed devices. Therefore, an additional evaluation through DGP is justified to identify the periods in which the sunlight affects or, a further investigation on the ASE threshold to accept the exceeded illuminance, is warranted .
Regarding the UDI results, at higher latitudes such as Puerto Montt, the illuminance values do not meet the requirements of the UDI-c and the value of the UDI-f increases, because there is less daylight available in a predominantly overcast sky. A study conducted in cities in Canada, in northern latitudes, analyses the degree to which daylight performance is affected by latitude and climate. The IES method LM-83-12 is used, and in most cases, the requirements of SDA in the LEED v4 rating system are not met. It exposes the impossibility of all locations to adapt, in a practical sense, to the same lighting values, and therefore suggests the need for an alternative compliance path . Moreover, many studies have concluded that a luminous environment of a place influences the tolerance of people to lighting levels. It suggests that an adequation of thresholds according to sky conditions, would be more useful for users than the Standard. As an example, the CES sustainable building qualification method of Chile proposes three differential compliance values associated with climatic zones and different sky conditions. For clear sky sDA 60% and UDI60%; for intermediate sky sDA 55% and UDI 50%; for overcast sky sDA 50% UDI 40% . It is an approach to refining in the next stages; however, the authors value the exploration of an alternative path of compliance, to more opportunities to encourage adequate designs of daylight.
The revision of three cities of Chile under different sky conditions shows that daylights requirements vary in each location depending on daylight availability and sunlight incidence, but overlit remains in all the climates in the glazed façade models, suggesting potential problems as overheating and glare.
Regarding the design criteria to climate-adapt fenestration, it has been found that several documents focus on passive strategies and have been a fundamental guide for the development of this research. This work provided an opportunity for testing its implementation in different sky conditions in Chile, and subsequent optimisation according to the climates, was necessary to improve daylight performance further. The fundamental contribution of this research is the selection of the most important strategies, classifying them and organising them in a checklist for easy application by designers.
A key aspect for optimising the criteria was around the observation of how strategies impact in the amount and distribution of daylight in space through the CBDM methods, through UDI, SDA, and ASE metrics. It is conclusive that methods are effective in relating illuminance and sunlight exposure. The results suggest that the upper limits of both daylight methods are close to controlling glare by regulating over-illumination during the design process. Although overlit target values present the main difference between them, the prediction of possible visual disturbances is consistent with each other and as a glare proxy indicator. It is concluded that since there is a relationship between the results of DGP with ASE and UDI-e, these are equally predictive to apply a design process where less simulation time is required.
However, the study opens a reflection for future research about the target values. Should the thresholds propose in the design methods be the same in all climate contexts? Considering the variety of available daylight and the requirement of passive gains in cold climates the proposed thresholds are unlikely to be reached.
This research was developed within the framework of Sustainable Habitat and Energy Efficiency Master of the University of Bio-Bio in Concepción Chile. The authors would like to acknowledge the support provided by the team of academics of the program. The authors also thank the support provided by the Environmental Comfort and Energy Poverty 194503 GI/C research group.
Cecilia Palarino (CP) and Beatriz Piderit (BP) designed the research. CP design the office prototypes and simulations. CP and BP analysed and discussed the data. CP wrote the original draft preparation. CP and BP reviewed and edited the final paper.
Declaration of competing interest
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.
A.1. False-colour schemes of the dynamic simulation sDA, ASE and UDI for prototype 2 all climates
A.2. Daylight glare probability evaluation
A.3. Prototype 1. Experimental base model illuminance distribution maps sDA & ASE and UDI range, all climates
A.4. Prototype 3- Glazed facade illuminance distribution maps sDA & ASE and UDI range, all climates
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