Design, monitoring and dynamic model development of a solar heating and cooling system

Delač, Boris; Pavković, Branimir; Lenić, Kristian

doi:10.1016/j.applthermaleng.2018.07.052

Cited by 26 publications

(9 citation statements)

References 19 publications

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“…As was mentioned formerly in Section 4.6, the calculations of the PV output power were performed using the SAM software applying Equations (21)(22)(23)(24). The PV module specifications that were used in the calculations are shown in Table 6.…”

Section: Pv Plantmentioning

confidence: 99%

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Design and Comparative Techno-Economic Analysis of Two Solar Polygeneration Systems Applied for Electricity, Cooling and Fresh Water Production

2019

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Two solar polygeneration systems were investigated for electricity, cooling and fresh water production. In the first scenario (LFPS), the linear Fresnel (LF) solar field was used as thermal source of the Organic Rankine Cycle (ORC), absorption chiller (ACH) and multi-effect desalination (MED) unit. In the second scenario (PVPS), photovoltaic (PV) panels were considered as the electricity source to supply the electricity load that is required for lighting, electrical devices, compression chiller (CCH) and reverse osmosis (RO) units. A techno-economic comparison was made between two scenarios based on the land use factor (F), capacity utilization factor (CUF), payback period, levelized cost of electricity (LCE), levelized cost of cooling energy (LCC) and levelized cost of water (LCW). The calculations were conducted for four different locations in order to determine the effect of solar radiation level on the LCE, LCC and LCW of systems in both scenarios. The results showed that the LCE and LCW of PVPS is lower than that of LFPS and the LCC of LFPS is lower than that of PVPS. Also, the payback period of LFPS and PVPS systems are obtained as 13.97 years and 13.54 years, respectively, if no incentive is considered for the electricity sale.

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Section: Pv Plantmentioning

confidence: 99%

“…12, 4401 13 of 35 of the SWRO unit was calculated by multiplying the amount of required fresh water by the specific electricity consumptions of the plant as follows:. W RO = Permeate m 3 × 4.2 kWh/m 3(22) …”

mentioning

confidence: 99%

Design and Comparative Techno-Economic Analysis of Two Solar Polygeneration Systems Applied for Electricity, Cooling and Fresh Water Production

2019

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“…In solar PVT panels, photovoltaic cells are placed on top of a solar thermal collector. The excess heat that builds up is removed by water running through the thermal collector [12,13]. It has been claimed that hybrid panels can have efficiency as high as 85 and can generate four times the energy produced from the same surface area for only a 25 % increase in cost [14].…”

Section: Introductionmentioning

confidence: 99%

Enhancement of energy transfer efficiency for photovoltaic (PV) systems by cooling the panel surfaces

Majdi

Mashkour

Habeeb

et al. 2021

EEJET

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The thermal coefficient of a solar photovoltaic (PV) panel is a value that is provided with its specification sheet and tells us precisely the drop in panel performance with rising temperature. In desert climates, the PV panel temperatures are known to reach above 70 degrees centigrade. Exploring effective methods of increasing energy transfer efficiency is the issue that attracts researchers nowadays, which also contributes to reducing the cost of using solar photovoltaic (PV) systems with storage batteries. Temperature handling of solar PV modules is one of the techniques that improve the performance of such systems by cooling the bottom surface of the PV panels. This study initially reviews the effective methods of cooling the solar modules to select a proper, cost-effective, and easy to implement one. An active fan-based cooling method is considered in this research to make ventilation underneath the solar module. A portion of the output power at a prespecified high level of battery state-of-charge (SOC) is used to feed the fans. The developed comparator circuit is used to control the power ON/OFF of the fans. A Matlab-based simulation is employed to demonstrate the power rate improvements and that consumed by the fans. The results of simulations show that the presented approach can achieve significant improvements in the efficiency of PV systems that have storage batteries. The proposed method is demonstrated and evaluated for a 1.62 kW PV system. It is found from a simultaneous practical experiment on two identical PV panels of 180 W over a full day that the energy with the cooling system was 823.4 Wh, while that without cooling was 676 Wh. The adopted approach can play a role in enhancing energy sustainability.

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“…Moreover, the studied SHC systems have consisted mainly of absorption cycles. [27][28][29] For instance, Delač et al 30 dynamically simulated a SHC system in which waste heat from the absorption cooling subcycle was utilized for preheating domestic hot water. It was shown that, although only 8% of the heat released from the condenser and the absorber was recovered, the proposed SHC system achieved up to 53% of heat recovery when used in appropriate scenarios.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive comparative investigation on solar heating and cooling technologies from a thermo‐economic viewpoint—A dynamic simulation

Mosleh

Behnam

Kamazani

et al. 2020

Energy Science & Engineering

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The yearly thermo-economic performance is dynamically investigated for three solar heating and cooling systems: solar heating and absorption cooling (SHAC), solar heating and ejector cooling (SHEC), and heating and solar vapor compression cooling (HSVC). First, the effects of important design parameters on the thermoeconomic performance of the systems to supply the heating and cooling loads of the building are evaluated. The systems are parametrically analyzed with the weather conditions of Tehran, Iran. The results show that the life cycle costs (LCC) of the SHAC and HSVC systems are alike and much lower than those of the SHEC system. The HSVC system exhibits the best performance from exergetic and solar fraction viewpoints. The comparative analysis shows that the energy efficiencies of the SHAC and SHEC systems are higher in colder climatic conditions. However, the collector efficiency of the HSVC system declines in colder climates, mainly due to the lower solar intensities relative to in hotter climates. Further, the solar fraction of the SHAC system is higher than the SHEC technology under all climatic conditions. Moreover, higher values of solar fractions are obtained under colder weather conditions for the SHEC and HSVC systems. The best economic performance is observed for the SHAC and HSVC technologies, having significantly lower LCCs than the SHEC system. These lower LCCs under colder climatic conditions are due to the lower cost of supplying the heating load compared to the cooling load. Furthermore, all systems exhibit enhanced exergetic performance in colder weather conditions. The yearly thermo-economic performance is dynamically investigated for three solar heating and cooling systems: SHAC, SHEC, and HSVC. In addition, the effects of important design parameters on the thermo-economic performance of the systems to supply the heating and cooling loads of the building are evaluated. K E Y W O R D Sabsorption chiller, dynamic simulation, ejector cooling, solar cooling and heating, thermoeconomic analysis | 725 JAFARI MOSLEH Et AL.

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Design, monitoring and dynamic model development of a solar heating and cooling system

Cited by 26 publications

References 19 publications

Design and Comparative Techno-Economic Analysis of Two Solar Polygeneration Systems Applied for Electricity, Cooling and Fresh Water Production

Design and Comparative Techno-Economic Analysis of Two Solar Polygeneration Systems Applied for Electricity, Cooling and Fresh Water Production

Enhancement of energy transfer efficiency for photovoltaic (PV) systems by cooling the panel surfaces

A comprehensive comparative investigation on solar heating and cooling technologies from a thermo‐economic viewpoint—A dynamic simulation

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