The relation of collector and storage tank size in solar heating systems

Çomaklı, Kemal; Çakır, Uğur; Kaya, Mehmet; Bakırcı, Kadir

doi:10.1016/j.enconman.2012.01.031

Cited by 89 publications

(23 citation statements)

References 21 publications

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“…Water consumption for bath after work completion was assumed as 50 liters per person. The temperature of cold water of 5°C and hot water to bath under shower of 40°C was assumed [9]. Hot tap water is expected to be consumed within 1 hour.…”

Section: Description Of the Systemmentioning

confidence: 99%

The impact of the hot tap water load pattern in the industrial hall on the energy yield from solar collectors

Fidorów-Kaprawy

Dudkiewicz

2017

E3S Web Conf.

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Abstract. The systems using solar energy, popular in Poland, can be used to supply hot water for the installation used by employees of industrial halls. In manufacturing plants, employing a large number of people, the demand for hot water is practically constant throughout the year and is characterized by periodic use at the end of each work shift. Dynamics of the hot water consumption depends on the number of shifts as well as working days and holidays. Additionally the maximum hot tap water demand occurs in the whole period of installation operation. In polish climatic conditions the solar collectors' systems have the largest capacity in the summer, while in winter they need to be assisted. Beside that the supply of renewable energy is uneven and depends on weather conditions. In the paper the one-hour step analysis concerning the dependence of the load pattern of the hot tap water preparation system on the energy yield from solar collectors had been performed.

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Section: Description Of the Systemmentioning

confidence: 99%

The impact of the hot tap water load pattern in the industrial hall on the energy yield from solar collectors

Fidorów-Kaprawy

Dudkiewicz

2017

E3S Web Conf.

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“…Therefore, over the past few decades, Fuzzy Control is being utilized in various domains. It is used successfully and extensively to control solar based systems: with conventional solar thermal plants to maximize heat production [29], and with photovoltaic based plants for an energy management [30].…”

Section: Introductionmentioning

confidence: 99%

“…The transferred energy from the working fluid to pumped water by the exchanger is determined as follows [30]:…”

Section: Exchanger and Boiler Modelingmentioning

confidence: 99%

Improvement of PV/T Based Reverse Osmosis Desalination Plant Performances Using Fuzzy Logic Controller

Ammous¹,

Charfi²,

Harb³

et al. 2016

IJMNTA

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Photovoltaic based reverse osmosis desalination systems (PV/RO) present an effective method of water desalination especially in remote areas. The increase of the feed water temperature leads to an amelioration of the plant performances. Photovoltaic Thermal Collector (PV/T) represents an ideal power source as it provides both electric and thermal energies for the reverse osmosis process. Nevertheless, PV/T based RO plants should be controlled in order to solve operation problems related to electrical efficiency, reverse osmosis membrane, produced water and the rejected salts. This paper suggests a fuzzy logic controller for the flow rate of the circulating fluid into the PV/T collectors so as to ameliorate the system performances. The designed controller has improved the PV/T field electrical efficiency and preserved the reverse osmosis membrane which upgrades the system productivity. LABVIEW software is used to simulate the controlled system and validate the effectiveness of the controller.

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“…Many researchers have undertaken significant studies investigating and evaluating the thermal performance of water-in-glass evacuated tube solar water heaters both experimentally and theoretically [9][10][11][12]. Tang et al [13] developed a detailed mathematical procedure to estimate the daily collectible radiation from a single tube of all-glass evacuated tube solar collectors based on solar geometry and knowledge of two-dimensional radiation transfer, and the results showed that the annual collectible radiation on a tube is affected by many factors such as collector type, central distance between tubes, size of solar tubes, tilt and azimuth angles, and use of a diffuse flat reflector.…”

Section: Introductionmentioning

confidence: 99%

“…Wang et al [14] performed an experiment and simulation study on a new type of all-glass evacuated tubular solar air heater with simplified compound parabolic concentrator (CPC), and the results showed the whole system had an outstanding high-temperature collecting performance and the new simplified simulation model can meet the general requirements of engineering calculations. Çomaklı et al [11] optimized the size of solar collectors and storage tanks to design more economic and efficient solar water heating systems, according to Turkish conditions and relevant Turkish standards, with experiments and simulations. Porras-Prieto et al [15] discussed the influence of required tank water temperature on the energy performance and water withdrawal potential of a solar water heating system equipped with a heat pipe evacuated tube collector, and the results indicated that, as the required tank water temperature increases, the net energy that can be stored by the system falls, with differences of over 1000 Wh/m 2 /day between required tank water temperature of 40 and 80 °C at a solar radiation input of 8000 Wh/m 2 /day (system efficiency range 56%-73%).…”

Section: Introductionmentioning

confidence: 99%

Novel Method for Measuring the Heat Collection Rate and Heat Loss Coefficient of Water-in-Glass Evacuated Tube Solar Water Heaters Based on Artificial Neural Networks and Support Vector Machine

Liu

Zhang

et al. 2015

Energies

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Abstract:The determinations of heat collection rate and heat loss coefficient are crucial for the evaluation of in service water-in-glass evacuated tube solar water heaters. However, the direct determination requires complex detection devices and a series of standard experiments, which also wastes too much time and manpower. To address this problem, we propose machine learning models including artificial neural networks (ANNs) and support vector machines (SVM) to predict the heat collection rate and heat loss coefficient without a direct determination. Parameters that can be easily obtained by "portable test instruments" were set as independent variables, including tube length, number of tubes, tube center distance, heat water mass in tank, collector area, final temperature and angle between tubes and ground, while the heat collection rate and heat loss coefficient determined by the detection device were set as dependent variables respectively. Nine hundred fifteen samples from in-service water-in-glass evacuated tube solar water heaters were used for OPEN ACCESSEnergies 2015, 8 8815 training and testing the models. Results show that the multilayer feed-forward neural network (MLFN) with 3 nodes is the best model for the prediction of heat collection rate and the general regression neural network (GRNN) is the best model for the prediction of heat loss coefficient due to their low root mean square (RMS) errors, short training times, and high prediction accuracies (under the tolerances of 30%, 20%, and 10%, respectively).

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The relation of collector and storage tank size in solar heating systems

Cited by 89 publications

References 21 publications

The impact of the hot tap water load pattern in the industrial hall on the energy yield from solar collectors

The impact of the hot tap water load pattern in the industrial hall on the energy yield from solar collectors

Improvement of PV/T Based Reverse Osmosis Desalination Plant Performances Using Fuzzy Logic Controller

Novel Method for Measuring the Heat Collection Rate and Heat Loss Coefficient of Water-in-Glass Evacuated Tube Solar Water Heaters Based on Artificial Neural Networks and Support Vector Machine

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