A Bioclimatic Approach for Enhanced Wine Cellar Design: General Formulation and Analysis of a Case Study in Mexico
Abstract
:1. Introduction
2. Materials and Methods
- Characterization of the study area,
- Microclimatic monitoring,
- Psychrometric analysis, and
- Results analysis.
2.1. Study Area
2.2. Microclimate Monitoring
- Characteristics of the site, rural type without buildings of more than three levels, topography with hills that surround the area and that modify the speed and intensity of the wind coming from the Pacific Ocean;
- Instrumentation, referring to the available number of meteorological stations for measuring dry bulb temperature, relative humidity, atmospheric pressure, wind direction and speed, precipitation and solar radiation;
- Availability of producers for access, placement and security of the instrumentation;
- Design of a structure to support the sensors;
- Calibration;
- Placement of instrumentation and
- Testing period for data recording.
2.3. Psychrometric Analysis
- A psychrometric chart was generated for the study area.
- The dry bulb temperature and relative humidity ranges suitable for the aging area and the wine cellar production area were estimated.
- The limits of bioclimatic strategies were calculated.
- The strategies were delimited in the psychrometric chart and
- The potential use of bioclimatic strategies was analyzed.
- Te = Effective Temperature (°C)
- DBT = Dry Bulb Temperature (°C)
- WBT = Wet bulb temperature (°C)
- V = Air Velocity (m/s).
- HTM = High Thermal Mass limit (°C)
- LMAX = Maximum neutral zone limit (°C)
- ATMAX = Maximum average outdoor temperature in Summer (°C)
- ATMIN = Minimum average outdoor temperature in Summer (°C)
- HTM = High Thermal Mass Limit for Winter (°C)
- LMIN = Lower Limit of neutral zone (°C)
- ATMAX = Maximum average outdoor temperature in Winter (°C)
- ATMIN = Minimum average outdoor temperature in Winter (°C).
- DEC = Direct evaporative cooling limit (°C)
- DBT = Dry bulb temperature (°C)
- WBT = Wet bulb temperature of the initial environmental condition (°C)
- E = System effectiveness (%).
2.4. Data Analysis
3. Results
3.1. Potential of Bioclimatic Strategies with Estimated Data
- For 9.7% of the monthly average hours of the year, the dry bulb temperature and relative humidity were located within the neutral zone, and 25% of those hours correspond to the cold period.
- A proportion of 38.9% of the cold period could use the indirect evaporative cooling strategy.
- High thermal mass is required 54.2% of the year, in the winter months.
- The window and building shading strategy is required 92.7% of the year, especially in the summer months for 75% of the hours (Figure 7).
- 43.1% of the monthly average hours of the cold period and 41.7% of the hours of the warm period were located within the neutral zone.
- High thermal mass and evaporative cooling presented equal percentage values; 34.7% of the hours of the cold period and 48.6% of the warm period can use any of these strategies.
- Shading is required for the 70.8% of the warm period (Figure 8).
3.2. Potential of Bioclimatic Strategies with Monitoring Data
- A proportion of 29.2% of the monthly average hours of the cold period were located within the neutral zone, while in the warm period the recorded values were located outside this zone.
- For 77.8% of the hours of the cold period, it is necessary to use high thermal mass.
- A figure of 75% evaporative cooling can be used.
- In 23.6% of the cold period and 15.3% of the warm period, the interior space needs to be dehumidified and
- Shading is 100% relevant in summer and 70.8% in winter (Figure 9).
- 34.7% of the monthly average hours of the warm period months were located within the neutral zone and 19.4% in the cold period.
- The high thermal mass strategy is necessary for 66.7% of the warm period and 22.2% of the cold period.
- Evaporative cooling can be used in summer by 38.9%, mainly in the months of June and July.
- Dehumidification is required 33.3% in the warm period and
- The shading strategy is required in both periods, 84.7% in summer and 19.4% in winter (Figure 10).
4. Discussion
5. Conclusions
- High thermal mass (HTM) for summer and shading has the major potential of use for wine cellar design in the climate conditions of the Guadalupe Valley since they do not require water availability or electrical energy, which would benefit small artisanal producers.
- The importance is established of strategic cooling interventions in wine cellar design to ensure optimal aging conditions, especially during warmer months. Dynamic thermal simulations would provide valuable insights into the effectiveness of bioclimatic approaches in reducing reliance on energy-intensive cooling systems, thus optimizing both operational costs and environmental impact.
- In particular, the results suggest the use of direct evaporative cooling with some considerations, and not for the entire year, and emphasize the potential of thermal mass as an alternative method for maintaining optimal conditions without compromising humidity control. The observed discrepancies in relative humidity measurements underscore the need for ongoing monitoring to comprehensively assess environmental conditions and inform design decisions for wine cellar facilities in the Guadalupe Valley.
- Bioclimatic design techniques identified through psychrometric charts can ensure that interior conditions are optimized for wine aging while providing a comfortable environment for workers (production area) and visitors.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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(a) Wine Aging and Preservation | ||
---|---|---|
Author | Dry Bulb Temperature (°C) | |
Boulton et al. (1995) | 5–15 | |
Hidalgo (2003) | 9–12 | |
Steiner (2010) | 13–20 | |
Mazarrón, Cid–Falceto and Cañas (2012) | 8–15 | |
Troost, referenced in Barbaresi, et al. (2014) | 9–15 for red wines. | |
Bondiac, referenced in Barbaresi, et al. (2014) | 10–12 | |
Marescalchi, referenced in Barbaresi, et al. (2014) | 15–20 | |
SEPSA, referenced in Barbaresi, et al. (2014) | 8–14 | |
Vogt, referenced in Barbaresi, et al. (2014) | 8–12 for white wines and 12 for red wines. | |
Marrara et al. (2014) | 12–16 | |
Theoretical range for Neutral Zone | 10–15 | |
(b) Wine Production | ||
Author | Red Wine Dry Bulb Temperature (°C) | White wine Dry Bulb Temperature (°C) |
Boulton et al. (1995) | 25–35 | 15–20 |
Eisenman (1998) | 21–32 | 4–13 |
Wilker, Harris, Odneal and Dharmadhikari (2001) | 25–30 | 20–25 |
Grainger and Tattersall (2005) | 20–32 | 10–18 |
Ramos-Sanz and Blasco-Lucas (2011) | 24–35 | 18–23 |
Induráin (2013) | 20–28 | ---- |
Johnson y Robinson (2013) | 22–30 | 12–17 |
Nigam (2014) | 24 | 7–21 |
Considine and Frankish (2014) | 23–28 | 15–18 |
Theoretical range for Neutral Zone | 15–25 |
AGING AREA | |||||||||
---|---|---|---|---|---|---|---|---|---|
BIOCLIMATIC STRATEGY | COLD PERIOD (Winter) | TOTAL | WARM PERIOD (Summer) | TOTAL | POTENTIAL USE * | ||||
DECEMBER | JANUARY | FEBRUARY | MAY | JUNE | JULY | ||||
1.1 Neutral zone | 25.0% | 25.0% | 25.0% | 25.0% | 0.0% | 0.0% | 0.0% | 0.0% | N/A |
1.2 High thermal mass (Summer) | 58.3% | 54.2% | 50.0% | 54.2% | 0.0% | 0.0% | 0.0% | 0.0% | ✓ |
1.3 High thermal mass (Winter) | 33.3% | 29.2% | 25.0% | 29.2% | 0.0% | 0.0% | 0.0% | 0.0% | |
1.4 Direct evaporative cooling | 16.7% | 25.0% | 20.8% | 20.8% | 0.0% | 0.0% | 0.0% | 0.0% | |
1.5 Indirect evaporative cooling | 41.7% | 37.5% | 37.5% | 38.9% | 0.0% | 0.0% | 0.0% | 0.0% | ✓ |
1.6 Dehumidification | 4.2% | 8.3% | 12.5% | 8.3% | 33.3% | 16.7% | 0.0% | 16.7% | |
1.7 Shading | 58.3% | 58.3% | 62.5% | 59.7% | 75.0% | 75.0% | 75.0% | 75.0% | ✓ |
PRODUCTION AREA | |||||||||
BIOCLIMATIC STRATEGY | COLD PERIOD (Winter) | TOTAL | WARM PERIOD (Summer) | TOTAL | POTENTIAL USE * | ||||
DECEMBER | JANUARY | FEBRUARY | MAY | JUNE | JULY | ||||
2.1 Neutral zone | 58.3% | 37.5% | 33.3% | 43.1% | 54.2% | 50.0% | 20.8% | 41.7% | N/A |
2.2 High thermal mass (Summer) | 33.3% | 37.5% | 33.3% | 34.7% | 54.2% | 50.0% | 41.7% | 48.6% | ✓ |
2.3 High thermal mass (Winter) | 20.8% | 16.7% | 25.0% | 20.8% | 33.3% | 8.3% | 0.0% | 13.9% | |
2.4 Direct evaporative cooling | 33.3% | 37.5% | 33.3% | 34.7% | 54.2% | 50.0% | 41.7% | 48.6% | ✓ |
2.5 Indirect evaporative cooling | 33.3% | 37.5% | 33.3% | 34.7% | 54.2% | 50.0% | 41.7% | 48.6% | ✓ |
2.6 Dehumidification | 0.0% | 0.0% | 0.0% | 0.0% | 16.7% | 41.7% | 58.3% | 38.9% | ✓ |
2.7 Shading | 33.3% | 37.5% | 33.3% | 34.7% | 66.7% | 70.8% | 75.0% | 70.8% | ✓ |
AGING AREA | |||||||||
---|---|---|---|---|---|---|---|---|---|
BIOCLIMATIC STRATEGY | COLD PERIOD (Winter) | TOTAL | WARM PERIOD (Summer) | TOTAL | POTENTIAL USE * | ||||
DECEMBER | JANUARY | FEBRUARY | MAY | JUNE | JULY | ||||
1.1 Neutral Zone | 50.0% | 29.2% | 8.3% | 29.2% | 0.0% | 0.0% | 0.0% | 0.0% | N/A |
1.2 High thermal mass (summer) | 79.2% | 29.2% | 37.5% | 48.6% | 0.0% | 0.0% | 0.0% | 0.0% | ✓ |
1.3 High thermal mass (Winter) | 20.8% | 41.7% | 25.0% | 29.2% | 0.0% | 0.0% | 0.0% | 0.0% | |
1.4 Direct evaporative cooling | 66.7% | 29.2% | 12.5% | 36.1% | 0.0% | 0.0% | 0.0% | 0.0% | ✓ |
1.5 Indirect evaporative cooling | 79.2% | 0.0% | 37.5% | 38.9% | 0.0% | 0.0% | 0.0% | 0.0% | ✓ |
1.6 Dehumidification | 0.0% | 29.2% | 41.7% | 23.6% | 45.8% | 0.0% | 0.0% | 15.3% | |
1.7 Shading | 79.2% | 58.3% | 75.0% | 70.8% | 100.0% | 100.0% | 100.0% | 100.0% | ✓ |
PRODUCTION AREA | |||||||||
ESTRATEGIA BIOCLIMÁTICA | COLD PERIOD (Winter) | TOTAL | WARM PERIOD (Summer) | TOTAL | POTENTIAL USE * | ||||
DECEMBER | JANUARY | FEBRUARY | MAY | JUNE | JULY | ||||
2.1 Neutral Zone | 29.2% | 0.0% | 29.2% | 19.4% | 54.2% | 37.5% | 12.5% | 34.7% | N/A |
2.2 High thermal mass (summer) | 0.0% | 0.0% | 0.0% | 0.0% | 66.7% | 66.7% | 33.3% | 55.6% | ✓ |
2.3 High thermal mass (Winter) | 16.7% | 33.3% | 16.7% | 22.2% | 33.3% | 0.0% | 0.0% | 11.1% | |
2.4 Direct evaporative cooling | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 66.7% | 50.0% | 38.9% | ✓ |
2.5 Indirect evaporative cooling | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 66.7% | 50.0% | 38.9% | ✓ |
2.6 Dehumidification | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 50.0% | 50.0% | 33.3% | ✓ |
2.7 Shading | 29.2% | 0.0% | 29.2% | 19.4% | 54.2% | 100.0% | 100.0% | 84.7% | ✓ |
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Jiménez-López, V.; Luna-León, A.; Benni, S. A Bioclimatic Approach for Enhanced Wine Cellar Design: General Formulation and Analysis of a Case Study in Mexico. AgriEngineering 2024, 6, 2395-2416. https://doi.org/10.3390/agriengineering6030140
Jiménez-López V, Luna-León A, Benni S. A Bioclimatic Approach for Enhanced Wine Cellar Design: General Formulation and Analysis of a Case Study in Mexico. AgriEngineering. 2024; 6(3):2395-2416. https://doi.org/10.3390/agriengineering6030140
Chicago/Turabian StyleJiménez-López, Verónica, Anibal Luna-León, and Stefano Benni. 2024. "A Bioclimatic Approach for Enhanced Wine Cellar Design: General Formulation and Analysis of a Case Study in Mexico" AgriEngineering 6, no. 3: 2395-2416. https://doi.org/10.3390/agriengineering6030140
APA StyleJiménez-López, V., Luna-León, A., & Benni, S. (2024). A Bioclimatic Approach for Enhanced Wine Cellar Design: General Formulation and Analysis of a Case Study in Mexico. AgriEngineering, 6(3), 2395-2416. https://doi.org/10.3390/agriengineering6030140