| 1. |
- Altorkmany, Lobna, et al.
(author)
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Effect of Working Parameters of the Plate Heat Exchanger on the Thermal Performance of the Anti-Bact Heat Exchanger System to Disinfect Legionella in Hot Water Systems
- 2018
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In: Applied Thermal Engineering. - : Elsevier. - 1359-4311 .- 1873-5606. ; 141, s. 435-443
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Journal article (peer-reviewed)abstract
- The objective of the current study is to analyze the effect of different working parameters on the thermal performance of the Anti-Bact Heat Exchanger system (ABHE). The ABHE system is inspired by nature and implemented to achieve continuous disinfection of Legionella in different human-made water systems at any desired disinfection temperature. In the ABHE system, most of the energy is recovered using an efficient plate heat exchanger (PHE). A model by Engineering Equation Solver (EES) is set-up to figure out the effect of different working parameters on the thermal performance of the ABHE system. The study shows that higher supplied water temperature can enhance the regeneration ratio (RR), but it requires a large PHE area and pumping power (PP) which consequently increase the cost of the ABHE system. However, elevate temperature in use results in a reduced PHE area and PP, which accordingly reduce the cost of the ABHE system. On the other hand, the EES-based model is used to study the effect of the length and the width of the plates used in the PHE on the RR and the required area of the PHE. Finally, taking into account the geometrical parameters, flow arrangement and the initial operating conditions of the PHE, the EES-based model is used to optimize the PHE in which its area is minimized, and the RR of the ABHE system is maximized.
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| 2. |
- Altorkmany, Lobna, et al.
(author)
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Experimental and Simulation Validation of ABHE for Disinfection of Legionella in Hot Water Systems
- 2017
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In: Applied Thermal Engineering. - : Elsevier. - 1359-4311 .- 1873-5606. ; 116, s. 253-265
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Journal article (peer-reviewed)abstract
- The work refers to an innovative system inspired by nature that mimics the thermoregulation system that exists in animals. This method, which is called Anti Bacteria Heat Exchanger (ABHE), is proposed to achieve continuous thermal disinfection of bacteria in hot water systems with high energy efficiency. In particular, this study aims to demonstrate the opportunity to gain energy by means of recovering heat over a plate heat exchanger. Firstly, the thermodynamics of the ABHE is clarified to define the ABHE specification. Secondly, a first prototype of an ABHE is built with a specific configuration based on simplicity regarding design and construction. Thirdly, an experimental test is carried out. Finally, a computer model is built to simulate the ABHE system and the experimental data is used to validate the model. The experimental results indicate that the performance of the ABHE system is strongly dependent on the flow rate, while the supplied temperature has less effect. Experimental and simulation data show a large potential for saving energy of this thermal disinfection method by recovering heat. To exemplify, when supplying water at a flow rate of 5 kg/min and at a temperature of 50 °C, the heat recovery is about 1.5 kW while the required pumping power is 1 W. This means that the pressure drop is very small compared to the energy recovered and consequently high saving in total cost is promising.
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| 3. |
- Kharseh, Mohamad, 1980, et al.
(author)
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Comparing Different PV Module Types and Brands Under Working Conditions in the United Kingdom
- 2020
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In: Reliability and Ecological Aspects of Photovoltaic Modules ; ed. by Abdulkerim Gok. - : IntechOpen. - 9781789848229 ; , s. 15-36
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Book chapter (other academic/artistic)abstract
- The present work demonstrates the performance evaluation and economic analysis of different PV module types and brands at the working conditions of Padiham (53.5 N, 2.3 W) in the UK. The total area of PV plant was assumed to be 100 square meters. The simulations were carried out for modules installed on the roof and on the south-facing façade of a residential building. The comparison study is carried out to define the most suitable module type and brands for the considered place in the current study. The energy and economic performance of the grid-connected PV system are analyzed under the meteorological conditions of Padiham. The modules were characterized by evaluating their annual electrical energy generation and different figures of merit of the grid-connected PV systems such as the investment, annual profit, net present value, levelized cost of electricity, and the payback time. The simulations show that in this specific setup, monocrystalline modules have the best energy performance, while thin-film modules have the best economic performance.
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| 4. |
- Kharseh, Mohamad, 1980, et al.
(author)
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Estimating the Ground Temperature Around Energy Piles Using Artificial Neural Networks
- 2020
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In: Advances in Intelligent Systems and Computing. - Cham : Springer International Publishing. - 2194-5365 .- 2194-5357. ; 1069, s. 223-229
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Conference paper (peer-reviewed)abstract
- Ground source heat pump (GSHP) systems are using vertical ground heat exchangers, known as Borehole Heat Exchangers (BHEs), as a heat source or sink. The performance of the GSHP system strongly relies on the ground temperature surrounding the BHEs. This temperature depends on many parameters and varies during the operating time. Therefore, the determination of the ground temperature is crucial to define the design and the proper size of the BHEs so that the performance of the GSHP system can be kept at the desired level. The current study aims to formulate a complex structure of artificial neural network (ANN) model in a mathematical equation that expresses the change in the ground temperature around BHEs due to heat injection in the long run. To fulfill this aim, a numerical model of BHEs was created using the ANSYS (Analysis System) software to generate data. The generated data was then used to train the ANN model, which was built for this study. The simulation results show that the ANN model estimates the ground temperature (T-g) in the target GSHP system with higher accuracy.
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| 5. |
- Kharseh, Mohamad, 1980, et al.
(author)
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Feasibility of solar energy in south sweden: artificial neural network modeling
- 2016
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In: International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. - 1314-2704. ; 3:BOOK 4, s. 273-280
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Conference paper (peer-reviewed)abstract
- Observations provide evidence that atmospheric greenhouse gases concentration has increased rapidly over last century. This leads to extreme climate changes such as heat waves, rising sea-levels, changes in precipitation resulting in flooding and droughts, intense hurricanes, and degraded air quality, affect directly and indirectly the physical, social, and psychological health of humans. For that reasons, and in helping achieving the EU targets for 2020 and 2050, utilizing the available local renewable energy resources is needed. Although the current efficiency of PV system (PVs) is still relatively low and the capital cost is still high, the abundance of solar energy that strikes the Earth continuously makes the photovoltaic systems viable alternative. The current work, therefore, investigate the potential of utilizing solar energy for electricity generation in Europe. For this aim, a residential building in Landskrona, Sweden, was chosen as a case study. Solar World SW325 XL, which is a monocrystalline module, was selected as PV panel. A computer model was built to simulate grid-connected rooftop PV system in which the module elements are attached to the roof of the building. Sensitive analysis was carried out to test the robustness of the simulation results. Performed calculations show that there is a big potential to use PVs with 193 kWh/y electricity can be generated per square meter of PV. The payback time of the systems is 6 years with levelized cost of electricity is 10.3 C/kWh. Finally, artificial neural network (ANN)-base model was built to generate user-friendly formula that states the relationship between the NPV (net present value) of PVs and specific factors of interest. These factors, including electricity price, real interest rate, module price and inverter price, were chosen based on sensitivity analysis results. The study leaded to create a simple formula that can easily be used to estimate the NPV of PVs without use of complicated software.
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| 6. |
- Kharseh, Mohamad, 1980, et al.
(author)
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How adding a battery to a grid-connected photovoltaic system can increase its economic performance: A comparison of different scenarios
- 2019
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In: Energies. - : MDPI AG. - 1996-1073 .- 1996-1073. ; 12:1
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Journal article (peer-reviewed)abstract
- © 2018 by the authors. Licensee MDPI, Basel, Switzerland. The current work investigates how adding a battery of optimal capacity to a grid-connected photovoltaic (PV) system can improve its economic feasibility. Also, the effect of different parameters on the feasibility of the PV system was evaluated. The optimal battery capacity (OBC) was determined for different saving targets of the annual electricity consumption of the chosen building. For this aim, real electricity consumption data of a residential building in Landskrona, Sweden, was used as energy consumption profile. A Solar World SW325XL, which is a monocrystalline solar panel, was selected as PV panel. The calculations were performed under the metrological and economic conditions of southern Sweden. Different working parameters (WPs) were considered (prices of the battery, feed-in tariffs, and saving targets). The performed calculations show that the optimal battery capacity (OBC), in which the payback time (PBT) of the system is maximized, strongly depends on the WP. The proper selection of the battery can considerably increase the economic feasibility of the PV system in southern Sweden. However, in some cases, using battery can have a negative impact on the PBT of the system. The results show that the electricity price, the module price, the inverter price, and the inverter lifetime have the highest effect on the PBT.
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| 7. |
- Kharseh, Mohamad, 1980, et al.
(author)
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Humid Wall: Review on Causes and Solutions
- 2017
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In: Proceedings of the The World Sustainable Built Environment Conference 2017 (WSBE17). - 9789887794301 ; , s. 675-681
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Conference paper (peer-reviewed)
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| 8. |
- Kharseh, Mohamad, 1980, et al.
(author)
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Identify Optimal Renovation Packages for Residential Buildings: A State-of-the-Art Computational Model
- 2019
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In: IOP Conference Series: Earth and Environmental Science. - : IOP Publishing. - 1755-1307 .- 1755-1315. ; 297:1
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Conference paper (peer-reviewed)abstract
- Renovating the existing building stock has a significant potential to achieve the goal of reducing greenhouse gas (GHG) emissions in the European Union. However, a common European renovation project focuses primarily on improving the thermal performance of the building shell by adding insulation to the opaque surfaces and improve the thermal performance of the windows. The potentially positive contribution of renewable energies (RE) in balance with energy efficiency measures is often underestimated. Consequently, a more holistic approach can contribute to a reduction in total net energy demand up to 40-45% for the entire buildings sector. Thus, in order to achieve the goal of GHG emission reduction in an economic most responsible way, the share of RE in a renovation project needs to be increased. However, building renovation projects are becoming - apparently - more complicated if more factors are considered in the planning of a renovation project. Thus, a computational tool for evaluating hundreds of different renovation options, including the implementations of renewable energy resources, to obtain an optimal or nearly optimal set of renovation options is essential. Therefore, a novel planning tool has been developed within the framework of DREEAM project, a project funded by the European Union within the Horizon 2020 research framework. The DREEAM-Tool has been designed in the way that it helps designers and other stakeholders to plan a renovation project of a single building or even on a multi-building scale. The tool was built in the way to optimize the renovation project taking into consideration the most critical factors in planning and decision-making processes, such as the economic or environmental performance. In other words, the tool combines an energy calculation model for a building or multiple building with an economic and environmental assessment to identify and optimize the most beneficial refurbishment solutions. The current study presents the concept of the DREEAM-Tool and shows examples of how the optimal renovation packages of a considered building will be determined and how this will support designers or buildings owners in decision-making processes.
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| 9. |
- Kharseh, Mohamad, 1980, et al.
(author)
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Optimal utilization of geothermal heat from abandoned oil wells for power generation
- 2019
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In: Applied Thermal Engineering. - : Elsevier BV. - 1359-4311. ; 153, s. 536-542
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Journal article (peer-reviewed)abstract
- Unlike other types of renewable energy, geothermal resources represent a stable energy source because they can be exploited regardless of meteorological conditions. In geothermal systems, heat is exchanged between the surrounding rock and the geofluid. Thus the energy potential strongly depends on the temperature of the geofluid, which in turn depends on the working parameters (WPs). The objective of the current work is to specify the optimal WPs (i.e., heat extraction rate, geofluid flow rate, and the temperature difference between the well inlet and outlet) in order to maximize the exploitation of the geothermal resource. The ground thermal properties, geothermal temperature gradient, and well dimensions based on realistic conditions in Qatar and neighboring countries were used to model electricity generation from a geothermal power plant. The simulation shows that the proper selection of the WPs can considerably increase the electricity generation of the power plant. Also, this work shows that the optimal WPs guaranties a sustainable utilization of geothermal sources, which means a constant electricity output of the Rankine turbine over time. For the working conditions in Qatar, it is determined that the maximum electricity generation would be 11 kW during the 25 years (analysis time). To get this maximum electricity generation, the optimal WPs should be as follows: 275 kW for heat extraction rate, 3.7–4.4 kg/s for geofluid flow rate, and 15–17 °C for the temperature difference.
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| 10. |
- Kharseh, Mohamad, 1980, et al.
(author)
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The effect of different working parameters on the optimal size of a battery for grid-connected PV systems
- 2017
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In: Energy Procedia. - : Elsevier BV. - 1876-6102. ; 122, s. 595-600
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Conference paper (peer-reviewed)abstract
- This work investigates the possibility of improving the economic performance of PV in Northern Europe. The PV system investigated in this study is assumed to be connected to the electricity grid. However, because there is a difference between the electricity tariff and feed-in electricity price, adding a battery to such a system improves its economic viability. But the application of a battery increases initial costs of the system. Therefore, it is especially of economic relevance to choose the optimal size of the battery. In this work, the optimal battery size was calculated under different parameters including electricity tariff, feed-in electricity price, and battery performance and price. For this purpose, an actual building located in Landskrona, Sweden was chosen as a case study. A computer model was built to simulate the PV system. The simulations show that the optimal battery size is strongly influenced by the local conditions especially the feed-in electricity price.
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