Solar thermal modeling for rapid estimation of auxiliary energy requirements in domestic hot water production: On-off flow rate control

Araújo, António; Pereira, Vítor

doi:10.1016/j.energy.2016.11.025

Cited by 15 publications

(2 citation statements)

References 28 publications

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“…accordance with the well-known on/off control, which is likely the most widely used control method in the thermal engineering practice to date (see e.g. [25]) because of its simplicity and that this control method is the nearly optimal or even optimal one in many cases (see e.g. [26]).…”

Section: A General New and Easy-to-apply Mlr-based Black-box Model Wmentioning

confidence: 59%

Black-box model for solar storage tanks based on multiple linear regression

Kicsiny

2018

Renewable Energy

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Developing easy-to-use mathematical models for describing temperatures of solar storage tanks is important for the practice, since solar storages are unavoidable elements in solar heating systems, where some heat should be stored in the form of hot fluid. In this paper, a new, general and easy-to-apply black-box model, called LR model (where LR is the abbreviation of linear regression), is proposed for solar storages on the basis of multiple linear regression. This linear model may be the simplest black-box type model, which can follow the transient processes of solar storages precisely. Accordingly, the LR model proves to be more precise than a slightly modified version of a physically-based storage model used successfully for different applications in the literature. The modified physically-based model accounts for the short circuit effect occurring in storages. Comparing measured and simulated data on a real solar storage, both models are validated and their efficiency is discussed in details. The general and simple usability of the LR model is mentioned and future research proposals are given.

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Section: A General New and Easy-to-apply Mlr-based Black-box Model Wmentioning

confidence: 59%

Black-box model for solar storage tanks based on multiple linear regression

Kicsiny

2018

Renewable Energy

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“…Rathod et al [4] analyzed the gas composition of the reactor at different temperatures and determined the optimum reaction temperature.The use of solar energy is more diversified.Rekstad et al [5] compared the performance and energy consumption of solar active heating and airwater source heat pump. Ant_nio et al [6] proposed a simple mathematical model for controlling domestic solar water heaters by switching flow. Annual cycle simulation shows that when the external insulation thickness is 20 cm, the heat loss is less than 3%.…”

Section: Introductionmentioning

confidence: 99%

Experiment Study on the Energy Supply System Performance of System Combined Heating, Power and Biogas in Gannan Tibetan Area

Xiaoyu¹,

Yang²,

Li³

et al. 2020

Preprint

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Abundant solar energy resources were existed in Gannan Tibetan area where passive solar houses are widely used in this area. However, due to their functions are single and unstable , the heating load in winter is very large. In winter, Tibetan residents still need to rely on coal and dry cow dung for heating. In order to solve this problem, a thermoelectric methane supply system was established on the basis of the original passive solar house by utilizing the abundant solar energy and biomass resources in Tibet. This system can provide users with winter heating, domestic electricity, domestic hot water and gas to meet different levels of energy demand. Through the whole heating season of test of the system, the results show that the system is stable, and the system heat supply accounts for 94.4% of the total building heat demand. For most of the time, the indoor temperature is higher than 14 ℃, the cumulative output of biogas is 95 m 3 , and the average daily output of biogas digester is 0.76 m 3 . During the test period of PV power generation subsystem, the daily generation capacity was 3.1 kWh. The system has good economy and environmental protection. The use and promotion of this system has changed the backward energy utilization mode, improved the energy utilization efficiency, reduced the use of fossil fuels, improved the quality of life for residents, and improved the natural environment.

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