Stochastic Predictions of Solar Cooling System Performance

1980 ◽  
Vol 102 (1) ◽  
pp. 47-54 ◽  
Author(s):  
D. K. Anand ◽  
I. N. Deif ◽  
E. O. Bazques ◽  
R. W. Allen
Keyword(s):  
Cooling System ◽  
Probabilistic Method ◽  
Probabilistic Approach ◽  
Weather Data ◽  
Data Handling ◽  
Solar Systems ◽  
Performance Predictions ◽  
And Performance ◽  
Comparison Of The Results ◽  
Solar Cooling System

The use of computerized system simulations for sizing and performance predictions of various solar systems requires some form of weather input to act as a system stimulus. When actual weather data are used, simulations run on an hourly basis are expensive and require considerable data handling. For many design procedures, however, hourly information is not needed, and simpler methods are desirable. One such method employs a probabilistic approach. This method involves the use of an algorithm that generates a probabilistic matrix, and an analytical formulation which is used to generate synthetic weather data. The approach has been found to be satisfactory. This work uses the stochastic (probabilistic) method to produce representative weather for five geographic regions in the U.S. for the summer months. Parallel runs are conducted with real and stochastic weather. A comparison of the results clearly shows that the probabilistic approach can satisfactorily substitute for real weather for the purpose of system simulation, at reduced cost and data handling.

Solar-Powered/Fuel-Assisted Rankine-Cycle Power and Cooling-System: Simulation Method and Seasonal Performance

1984 ◽  
Vol 106 (2) ◽  
pp. 142-152 ◽  
Author(s):  
N. Lior ◽  
K. Koai
Keyword(s):  
Cooling System ◽  
Rankine Cycle ◽  
Simulation Method ◽  
Climatic Regions ◽  
Organic Rankine Cycles ◽  
The Subject ◽  
And Performance ◽  
Solar Powered ◽  
Solar Cooling System ◽  
Hourly Basis

The subject of this analysis is a solar cooling system based on a novel hybrid steam Rankine cycle. Steam is generated by the use of solar energy collected at about 100° C, and it is then superheated to about 600° C in a fossil-fuel-fired superheater. The addition of about 20–26 percent of fuel doubles the power cycle’s efficiency as compared to organic Rankine cycles operating at similar collector temperatures. A comprehensive computer program was developed to analyze the operation and performance of the entire power/cooling system. Transient simulation was performed on an hourly basis over a cooling season in two representative climatic regions (Washington, D.C. and Phoenix, Ariz.). One of the conclusions is that the seasonal system COP is 0.82 for the design configuration and that the use of water-cooled condensers and flat-plate collectors of higher efficiency increases this value to 1.35.

Methodology to Determine Cost and Performance Goals for Active Solar Cooling Systems

1983 ◽  
Vol 105 (2) ◽  
pp. 217-223
Author(s):  
M. L. Warren ◽  
M. Wahlig
Keyword(s):  
Thermal Performance ◽  
Return On Investment ◽  
Energy Savings ◽  
Cooling System ◽  
Cooling Systems ◽  
Solar Cooling ◽  
And Performance ◽  
Air Conditioning Systems ◽  
Solar Cooling System ◽  
Year 2000

Economic and thermal performance analyses of typical residential and commercial active solar cooling systems are used to determine cost goals for systems to be installed between the years 1986 and 2000. Market penetration for heating, ventilating, and air conditioning systems depends on payback period, which is related to the expected real return on investment. Postulating a market share for solar cooling systems increasing to 20 percent by the year 2000, payback and return on onvestment goals as a function of year of purchase are established. The incremental solar system cost goal must be equal to or less than the 20-year present value of future energy savings, based on thermal performance analysis, at the desired return on investment. Methods for achieving these cost goals and expected solar cooling system costs will be discussed.

scholarly journals Analisis Kenyamanan Manusia (Human Comfort) pada Sistem Pendingin Desiccant Cair Tenaga Matahari Menggunakan Konfigurasi Aliran Berlawanan (Counter Flow)

2015 ◽  
Vol 2 (1) ◽  
pp. 23-28
Author(s):  
R. Hengki Hermanto
Keyword(s):  
Cooling System ◽  
Physiological Stress ◽  
High Water ◽  
Vapor Compression ◽  
Counter Flow ◽  
Water Vapour Content ◽  
Packed Tower ◽  
Human Comfort ◽  
And Performance ◽  
Solar Cooling System

High water vapour content in air can cause a number of problems as for human or surrounding materials. For human a highwater vapour can create physiological stress, discomfort, and also can encourage ill health. While, the cause for the environment iscan accelerate the corrosion of metals, accelerate the growth of spores and mould, can reduce the electrical resistance of insulatorsand etc.Desiccant systems have been proposed as energy saving alternatives to vapor compression air conditioning for handlingespecially the latent load and also sensible load. Use of liquid desiccants offers several design and performance advantages oversolid desiccants, especially when solar energy is used for regeneration. The liquid desiccants contact the gas inside the packed towerof liquid desiccant solar cooling system and the heat transfer and mass transfer will occur. This paper is trying to study the humancomfort analysis inside the packed tower of dehumidifier systems. This human comfort analysis consist of human comfort and energythat consume by the system. The results of this paper later on can be used to determine the best performance of the systems.

scholarly journals A Longitudinal Study of the Bladder Cancer Applying a State-Space Model with Non-Exponential Staying Time in States

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 363
Author(s):  
Delia Montoro-Cazorla ◽  
Rafael Pérez-Ocón ◽  
Alicia Pereira das Neves-Yedig
Keyword(s):  
Bladder Cancer ◽  
Longitudinal Study ◽  
State Space Model ◽  
Exponential Distributions ◽  
Significance Level ◽  
Phase Type Distributions ◽  
And Performance ◽  
The Times ◽  
Comparison Of The Results ◽  
Staying Time

A longitudinal study for 847 bladder cancer patients for a period of fifteen years is presented. After the first surgery, the patients undergo successive ones (recurrences). A state-model is selected for analyzing the evolution of the cancer, based on the distribution of the times between recurrences. These times do not follow exponential distributions, and are approximated by phase-type distributions. Under these conditions, a multidimensional Markov process governs the evolution of the disease. The survival probability and mean times in the different states (levels) of the disease are calculated empirically and also by applying the Markov model, the comparison of the results indicate that the model is well-fitted to the data to an acceptable significance level of 0.05. Two sub-cohorts are well-differenced: those reaching progression (the bladder is removed) and those that do not. These two cases are separately studied and performance measures calculated, and the comparison reveals details about the characteristics of the patients in these groups.

Qassim Central Power Plant Inlet Air Cooling System

2001 ◽  
Author(s):  
A. Al Bassam ◽  
Y. M. Al Said
Keyword(s):  
Saudi Arabia ◽  
Power Plant ◽  
Cooling System ◽  
Flow Diagram ◽  
Air Cooling ◽  
Process Flow Diagram ◽  
Electric Company ◽  
Start Up ◽  
Air Cooling System ◽  
And Performance

This paper summarizes the experiences with the first gas turbine inlet air cooling project in Saudi Arabia. It will cover the feasibility study, cooling system options, overview, system equipment description, process flow diagram, construction, commissioning, start-up and performance of the project which is currently under commissioning and initial start up at Qassim Central Power Plant (QCPP) owned by Saudi Electric Company (S.E.C.) Central Region Branch.

scholarly journals Statistical Downscaling of Daily Wind Speed Variations

2014 ◽  
Vol 53 (3) ◽  
pp. 660-675 ◽  
Author(s):  
Megan C. Kirchmeier ◽  
David J. Lorenz ◽  
Daniel J. Vimont
Keyword(s):  
Wind Speed ◽  
Gamma Distribution ◽  
Large Scale ◽  
Probabilistic Method ◽  
Probabilistic Approach ◽  
Local Scale ◽  
Scale Parameters ◽  
Wind Speeds ◽  
Distribution Shape ◽  
Realistic Information

AbstractThis study presents the development of a method to statistically downscale daily wind speed variations in an extended Great Lakes region. A probabilistic approach is used, predicting a daily-varying probability density function (PDF) of local-scale daily wind speed conditioned on large-scale daily wind speed predictors. Advantages of a probabilistic method are that it provides realistic information on the variance and extremes in addition to information on the mean, it allows the autocorrelation of downscaled realizations to be tuned to match the autocorrelation of local-scale observations, and it allows flexibility in the use of the final downscaled product. Much attention is given to fitting the proper functional form of the PDF by investigating the observed local-scale wind speed distribution (predictand) as a function of the decile of the large-scale wind (predictor). It is found that the local-scale standard deviation and the local-scale shape parameter (from a gamma distribution) are nonconstant functions of the large-scale predictor. As such, a vector generalized linear model is developed to relate the large-scale and local-scale wind speeds. Maximum likelihood and cross validation are used to fit local-scale gamma distribution shape and scale parameters to the large-scale wind speed. The result is a daily-varying probability distribution of local-scale wind speed, conditioned on the large-scale wind speed.

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