Prediction of long-term performance of active solar heating systems using daily hours of bright sunshine

Journal Article · Wed Aug 01 04:00:00 EDT 1984 · J. Sol. Energy Eng.; (United States)

DOI:https://doi.org/10.1115/1.3267602· OSTI ID:6414215

Nguyen, C T; Galanis, N

An algorithm based on daily hours of bright sunshine has been developed and used to evaluate the performance of active solar heating systems for different values of system parameters (collector area and efficiency curves; orientation and inclination; storage capacity; heating load). Comparisons of monthly and annual results with those obtained by other methods using measured values of global horizontal radiation show good results. The results were used to construct charts (for southern Quebec in this case) which do not require values of solar radiation for the prediction of the system's performance.

• Research Organization: Universite de Sherbrooke, Sherbrooke, Quebec
• OSTI ID: 6414215
• Journal Information: J. Sol. Energy Eng.; (United States), Journal Name: J. Sol. Energy Eng.; (United States) Journal Issue: 3 Vol. 106:3; ISSN JSEED
• Country of Publication: United States
• Language: English

Related Subjects

14 SOLAR ENERGY
140901* -- Solar Thermal Utilization-- Space Heating & Cooling
ALGORITHMS
ANNUAL VARIATIONS
DAILY VARIATIONS
EFFICIENCY
ENERGY SYSTEMS
EQUIPMENT
FORECASTING
HEATING LOAD
HEATING SYSTEMS
INCIDENCE ANGLE
MATHEMATICAL LOGIC
MONTHLY VARIATIONS
ORIENTATION
PARAMETRIC ANALYSIS
PERFORMANCE
RADIATIONS
SOLAR COLLECTORS
SOLAR EQUIPMENT
SOLAR HEATING SYSTEMS
SOLAR RADIATION
STELLAR RADIATION
THERMAL EFFICIENCY
VARIATIONS