Smart Green Roofs: Cooling with variable insulation

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Smart Green Roofs: Cooling with variable insulation PABLO LA ROCHE 1, ERIC CARBONNER 2, CHRISTINA HALSTEAD 3 1 HMC Architects, Ontario, California, USA & Cal Poly Pomona University, California, USA 2 HMC Architects, Ontario, California, USA 3 Cal Poly Pomona University, California, USA ABSTRACT: This paper examines the passive cooling potential of green roofs using a system developed by the authors that selectively couples and decouples the green roof s mass with the interior environment to improve indoor temperatures. Previous experiments on green roofs indicate that there is potential for indoor temperature enhancements of non-insulated green roofs when combined with night ventilation. However, insulation is needed to keep heat out when it is too hot outdoors or to keep heat inside when it is too cold outdoors. This variable insulation system improves thermal performance by coupling or uncoupling the thermal mass using an insulated plenum in which a fan is activated by temperature based rules. When the fan is ON the plenum is ventilated and when it is OFF the ceiling acts as an insulator. Four test cells are compared: a traditional green roof with insulation underneath; a non-insulated green roof; a green roof with an insulated plenum and a fan referred to as the variable insulation green roof; and a test cell with a conventional insulated roof. Results are very good, and the temperature in the variable insulation green roof temperature is more stable. Keywords: energy, green roofs, passive cooling, night ventilation, thermal comfort INTRODUCTION A living or green roof is a roof that is substantially covered with vegetation. Green roofs have positive effects on buildings by reducing the stress on the roof surface, improving thermal comfort inside the building, reducing noise transmission into the building, reducing the urban heat island effect by reducing hot surfaces facing the sky, reducing storm water runoff, reoxygenating the air and removing airborne toxins, recycling nutrients and providing habitat for living organisms, all of this while creating peaceful environments. The positive thermal effects of green roofs are usually described by the reduction of the external surface temperature due to the effect of vegetation, and the reduction of the thermal transmittance through the assembly, mostly due to the effects of insulation, usually placed between the sustaining material and the interior space of the building. However, little has been done to take advantage of the mass of the green roof as a heat sink when combined with night ventilation. Research indicates potential to reduce cooling loads inside with uninsulated green roofs [1,2,3]. By reducing the temperature of the outer surface of the roof and increasing thermal capacity in contact with the indoors, green roofs can contribute to the cooling of spaces. However, insulation is needed to keep heat out when it is too warm outdoors or to keep heat inside when it is too cold outside. This means that in more extreme conditions it would be helpful to have a well insulated, sealed building, including an insulated green roof. Is it possible to have a building that is not insulated and coupled to the thermal mass when night ventilation is needed and insulated from the exterior when conditions are more extreme? The goal of this research paper is to determine if it is possible to build a green roof with a variable insulation system that in hot days can cool a space using night ventilation, but can also reduce heat losses in cold days. Ongoing tests with variable insulation green roofs beginning in the summer of 2011 are discussed. CLIMATE DATA These green roofs are being tested at the Lyle Center for Regenerative Studies in California State Polytechnic University Pomona, located in a hot and dry climate with mild winters about 30 miles east of Los Angeles in southern California. Temperature and radiation data from the nearby Chino airport weather station are plotted in Climate Consultant (Fig. 1).

Figure 3: Section through the variable insulation cell Figure 1: Temperature and Solar Radiation Data. EXPERIMENTAL SYSTEM The experimental system consists of a microprocessor controller with thermistors that measure temperature in different locations, a laptop computer with the control programs that collects and stores data, four test cells and an active ventilation system, which consists of a 4-inch inlet and on the outlet side a fan that turns on or off by a signal from the microcomputer or from a timer. Figure 2 shows the data monitoring system with the fan in the variable insulation test cell. Both fans can be operated using different sets of rules. Different plants were tested, the last time in the summer of 2011 for this series. Succulent plants were planted on a layer of soil 7.5 cm thick above 2.5 cm of gravel. There is a plastic liner underneath the gravel, above a metal plate supported by wooden joists (Fig. 3). Drainage tubes in the gravel capture excess water and drain it outside. The roof is the only component that changes between the cells permitting to compare the performance of different types of roofs. The first cell is the control cell and has a code compliant insulated roof, with a U value of 0.055 W/m2 K, painted white (Fig. 4). The three green roofs have different conditions: a non-insulated green roof (Fig. 5); a green roof with insulation underneath (Fig. 6); and an insulated plenum green roof referred to as a smart variable insulation green roof (Fig. 7). The growth medium in the uninsulated green roof is thermally coupled with the interior via a metal plate, while in the other green roof there are 10 cm of matt insulation underneath.. Figure 2: system Variable insulation cell and data logging Figure 4: Control Test Cell Four cells built with students at the Lyle Center for Regenerative Studies in Cal Poly Pomona are being tested, three of them have green roofs and another has an insulated roof. All have the same dimension, 1.2 x 1.2 x 1.2 meters and were built using 2 by 4 inch stud wall construction with drywall on the inside, plywood on the outside and batt insulation in between for a U value of 0.12 W /m2 K. The exterior walls are white with 0.61 m by 0.61 m (2 x 2 ) double glazed windows and 3.8 cm thick concrete pavers as the slab. Figure 5: Cell with non-insulated Green Roof

Many series were performed beginning in September of 2011, of which only a selection are presented in this paper. Figure 6: Test Cell with Insulated Green Roof Series 1 In this series beginning in September 8, 2011, the cells are not ventilated and are unshaded. This series establishes a baseline understanding of the thermal behavior of the cells without any cooling by ventilation. Thermal gains by direct solar radiation are intense because of the large window to floor ratio 1:4. Figure 7: Test Cell with Smart Green Roof A fan provides air exchange with the outdoors and in addition to the smart system that can control it, all of the cells are equipped with dimmers and timers to adjust the ventilation rate and start/end times. The use of the fan for structure cooling with the smart controller was tested in previous research [4,5]. This controller used a set of decision rules to control the fan and maximize indoor thermal comfort and minimize cooling requirements using outdoor air. The controller can be programmed using different logical rules that turn the fan on and off as a function of thermal relationships between the thermistors and to cool down the building's interior mass so that it can 'coast' comfortably through the next day. EXPERIMENTAL RESULTS As explained in the introduction, the cooling with these green roofs is provided by ventilation which mostly occurs at night when the thermal mass of the green roof is cooled by forced convection through the fans. Nocturnal ventilative cooling is a well known strategy that has been used for many years, mostly in warm and dry climates [6,7,8,9,10]. During the daytime, the cool mass of the green roof acts as a heat sink, reducing the rate of indoor temperature rise and the fan is turned off because the sensors indicate that it is not possible to cool the space with outdoor air. Figure 8: Two days in series 1 Maximum temperatures are a good indicator of the cooling effectiveness of a system. The higher the difference between the maximum averages in both cells, the better the performance of the experimental cell. In this series the best performing test cell is the non-insulated green roof, probably because of the thermal mass. The smart green roof is not performing well, and with the highest maximum temperatures it is the worst performing of the cells (Fig. 8). However the plenum temperature of this cell is the most stable temperature with the lowest maximum temperatures. The plenum fan is not turned on at any point. If it was then the maximum temperature inside the cell would be lower because more heat would be absorbed by convection inside the plenum. Because the windows are not shaded the outdoor temperature is lower than all of the temperatures inside the test cells. There is a bit of thermal lag and the maximum temperature inside the cells occurs a couple of hours after the maximum outside temperature. Series 2 This series starts on October 14 and compares the performance of the smart variable insulation roof with the other cells without ventilation. All of the cells are shaded. This series is similar to comparing a building with a

variable insulation green roof compared to other buildings that are not ventilated and that have non insulated and insulated green roofs, and insulated roofs. It is assumed that to have variable insulation it must have possibility to ventilate according to the rules set up by the programmer. Figure 9: Two days in series 2 The variable insulation green roof is insulated according to the rules that have been programmed and the interior and exterior conditions. First the program compares the values of the internal temperature sensor with the external values. The variable insulation green roof has a layer of insulation under the planting material with an air space in between. A fan is located in the insulation material that is activated when needed according to the rules, so that it can move air from the test cell space through the plenum and in contact with the green roof. When no coupling with the thermal mass is desired then the fan is turned off. This is the case of a winter night in which the heat inside the space would be lost to the exterior through the green roof (Fig.9). Previous papers evaluated various control strategies with different relationships between variables such as air change rates and values for comfort low and comfort high [4,5]The rule that achieved the most hours in comfort and the lowest maximum temperatures is used to control the plenum fan: If to < ti and ti > Cf_low and ti <Cf_high then fan ON else fan OFF. Where: to is the temperature outside; ti is the temperature inside; Cf_low, is comfort low at 18.33 C (65 F); Cf_high is Comfort high at 25.55 C (78 F). In this series the smart green roof works very well and has low maximum values, similar to the values inside the uninsulated green roof. The lowest maximum values are inside the plenum but they are still quite close to those inside the non insulated green roof and smart green roof. When the fans in the smart green roof (plenum and exterior air change fan) are ON they both track each other quite well, however when the fans are turned OFF, the plenum temperature decouples from the space temperature and stays cooler than the interior space. This indicates that it would probably be more effective if the plenum fan would continue working, coupling these two and mixing the air of the space with the thermal mass of the green roof. Series 3 In this series that begins Feb 24, 2012 all test cells are night ventilated and are not shaded. The fan in the variable insulation roof is operating according to the same rules stated in series 2 while the rest of the cells operate with a fan from 9pm to 6am. Fig 10: Two days in series 3 All of the temperatures in the cells are still above the outdoor temperature because of the unshaded windows. In this series the non insulated control cell is the warmest followed by the insulated green roof. The lowest maximum temperature is inside the plenum of the uninsulated green roof followed by the non insulated green roof. This demonstrates the effectiveness of combining thermal mass with night ventilation; the two cells that have the lowest maximum temperatures are those that are coupled with the thermal mass (Fig. 10). Series 4 In this series beginning in March 26, 2012, all fans are turned on in all cells from 8pm to 3am. The windows are

unshaded. All of the cells are ventilated at the same time and the plenum fan is not turned on in any moment. Again the plenum temperature in the smart roof is the lowest and best value during the daytime. The non insulated green roof is also very effective. The smart green roof, the insulated green roof and insulated roof are not very effective because they have the insulation and no contact with the thermal mass (Fig. 11). The smart green roof s maximum temperature is not low because the plenum fan is not turned on. We will include in the presentation a series that compares them all with the night ventilation system working but also with the plenum fan working. insulated white roof (36.8% of the time) and lowest in the uninsulated cell (24.3%). The variable insulation cell has the second best performance with 27% overheated hours with the plenum fan ON and similar temperatures. The insulated green roof is overheated 33% of the time and outdoors it is too warm 34% of the time. Fig 13: Cool, comfortable and overheated hours in a 24 hour period. Fig 11: Two days in series 4 DATA ANALYSIS This data can be analysed using different techniques. In this case we will study their performance comparing the percentage of Overheated Hours between the cells and with the exterior dry bulb temperature. The performance of the cells is compared in only one series to get a preliminary snapshot. ASHRAE Comfort Standard 55-2005 for free running buildings is used to determine the comfort zone above which it would be considered too warm. The mean average temperature for that period is calculated using the following equation. Tn = 17.8 + 0.31 Tavg Tn = 17.8 + 0.31 * 20.45 = Tn = 24.14 C Where: Tn = neutrality temperature Tavg= outdoor average temperature Test cells were compared in a 24 hour period to determine overheated hours using the adaptive comfort zone. The analysis of this data indicates that the amount of overheated hours is highest in the control cell with an In previous series, developed over several summers the test cell with the uninsulated green roof always performed better than the test cell with the insulated roof and the white insulated roof. When the plenum fan was OFF the smart green roof behaved like the insulated roof and was warmer. When the plenum fan was ON the smart green roof behaved like the uninsulated green roof and was cooler. This indicates that simply having a fan that can bypass the insulation could provide effective cooling using a green roof. CONCLUSION More tests and analysis have to be done, especially to develop predictive equations, however results are very promising. The first conclusion is that the rule developed by La Roche and Milne [4] can also be used to control the exchange of air with the outside in variable insulation green roofs. It seems that the best performance is achieved with the plenum fan working continuously at least during the selected periods. If t o < t i and t i > Cf_low and t i <Cf_high then fan ON else fan OFF. All of the options with night ventilation and thermal mass keep the space cooler than in the control cell. Consistently the lowest maximum temperature is in the plenum of the smart roof. This occurs in both the series with night ventilation and the series without night ventilation. Maximum temperatures are also lower in the non insulated green roof and the variable insulation green roof when the plenum fan is turned on.

Green roofs, when combined with night ventilation can lead to more comfortable conditions inside buildings, with increased energy efficiency. When the plenum fan was turned off the variable insulation cell also had the warmest temperature indicating that the variable insulation roof can behave differently depending on how the fan is working, and can thus work as a non insulated roof with thermal mass and as an insulated roof. the green roof beyond the extents of the uninsulated green roof (Fig. 15). The system could operate in the following form: In the summer night the plenum and air change fans are ON while during the day the plenum fan is ON and the air change fan of OFF (Fig. 13). In the winter night the plenum fan and air change fan are both OFF while during the day they are both ON (Fig. 14). Figure 15: Applicability of the Variable Insulation Roof Air Change Fan ON Air Change Fan OFF Figure 13: Proposed Summer Strategies Air Change Fan OFF Air Change Fan ON Figure 14: Proposed Winter Strategies REFERENCES 1. Eumorfopoulou E, Aravantinos D. (1998) The contribution of a planted roof to the thermal protection of buildings in Greece. Energy and Buildings: 27, 29-36. 2. La Roche, P. (2006). Green Cooling: Combining Vegetated Roofs with Night Ventilation, American Solar Energy Society ASES 2006 Conference, Denver, USA. 3. La Roche P. (2009) Low Cost Green Roofs for Cooling: Experimental Series in a Hot and Dry Climate. Passive Low Energy Conference, PLEA 2009, Quebec Canada. 4. La Roche, P. Milne, M. (2004), Effects of Window Size and Mass on Thermal Comfort using an Intelligent Ventilation Controller. Solar Energy: Number 77 p 421-434. 5 La Roche, P. Milne, M. (2003), Effects of Window Size and Mass on Thermal Comfort using an Intelligent Ventilation Controller. American Solar Energy National Conference, Solar 2003, Austin, Texas, June 21-26. 6. Givoni B., 1994. Passive and Low Energy Cooling of Buildings, Van Nostrand Reinhold. 262 p. 7. Allard F., Santamouris, M., 1998. Natural Ventilation in Buildings a Design Handbook, James and James Science Publishers, London, UK. 8. Cook, J., 1989. Passive Cooling, Massachusetts Institute of Technology. MIT Press. 9. Santamouris, D.N. Asimakopoulos (Eds), 1996. Passive Cooling of Buildings, James and James Science Publishers, London UK. 10. Grondzik, Kwok, Stein, Reynolds, Mechanical and Electrical Equipment for Buildings, 2010. APLICABILITY IN DIFFERENT CLIMATES Since the green roof is used as thermal mass, both the uninsulated and variable insulation night ventilated green roofs should work well in the psicrometric zones for high mass and high mass with night ventilation. The green roof with variable insulation should extend the applicability of