Analysis of energy demand in a residential building using TRNSYS

Rashad, Magdi; Żabnieńska–Góra, Alina; Norman, Les; Jouhara, Hussam

doi:10.1016/j.energy.2022.124357

Cited by 46 publications

(12 citation statements)

References 35 publications

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“…Several scholars have extensively examined this topic in their publications [7][8] and [13][14][15][16][17][18].…”

Section: Modelling Of Photovoltaic Systemsmentioning

confidence: 99%

Extracting electrical parameters of solar cells using Lambert function

Bouzidi,

Ben Rahmoune,

Nasri

et al. 2024

Diagnostyka

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Photovoltaic cells are intricate systems that transform solar energy into electrical power. Certain internal parameters, such as diode saturation current, conversion resistance, and series resistance, significantly influence the performance of electrical components. Frequently, manufacturers do not provide these parameters. At the moment, researchers need new and clear ways to measure these factors so they can get a better idea of how solar cells work and improve efficiency through simulations. We present a novel approach to accurately determining the five parameters (series resistance, shunt resistance, photovoltaic cell current, and diode saturation current) for multi-crystalline silicon solar cell models. This approach employs the Lambert function and the curve of parasitic resistance. By utilizing the extracted internal electrical parameters, this method will enhance the efficiency of solar cells through the facilitation of more accurate simulations.

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“…Several scholars have extensively examined this topic in their publications [7][8] and [13][14][15][16][17][18].…”

Section: Modelling Of Photovoltaic Systemsmentioning

confidence: 99%

Extracting electrical parameters of solar cells using Lambert function

Bouzidi,

Ben Rahmoune,

Nasri

et al. 2024

Diagnostyka

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“…Furthermore, the models developed in MatLab by the authors are also validated using experimental data collected from the scientific literature. This circumstance also allows one to consider the validation of the model of the system as a whole [44,[49][50][51][52][53][54][55][56].…”

Section: System Modelmentioning

confidence: 99%

A Novel Layout for Combined Heat and Power Production for a Hospital Based on a Solid Oxide Fuel Cell

Calise,

Cappiello,

Cimmino

et al. 2024

Energies

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This paper addresses the problem of the reduction in the huge energy demand of hospitals and health care facilities. The sharp increase in the natural gas price, due to the Ukrainian–Russian war, has significantly reduced economic savings achieved by combined heat and power (CHP) units, especially for hospitals. In this framework, this research proposes a novel system based on the integration of a reversible CHP solid oxide fuel cell (SOFC) and a photovoltaic field (PV). The PV power is mainly used for balancing the hospital load. The excess power production is exploited to produce renewable hydrogen. The SOFC operates in electrical tracking mode. The cogenerative heat produced by the SOFC is exploited to partially meet the thermal load of the hospital. The SOFC is driven by the renewable hydrogen produced by the plant. When this hydrogen is not available, the SOFC is driven by natural gas. In fact, the SOFC is coupled with an external reformer. The simulation model of the whole plant, including the reversible SOFC, PV, and hospital, is developed in the TRNSYS18 environment and MATLAB. The model of the hospital is calibrated by means of measured data. The proposed system achieves very interesting results, with a primary energy-saving index of 33% and a payback period of 6.7 years. Therefore, this energy measure results in a promising solution for reducing the environmental impact of hospital and health care facilities.

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“…In this study, the energy, environmental, and economic performance of innovative energy-efficient movable prefabricated buildings for smart/co-working applications is analyzed using the TRaNsient SYStems simulation tool (TRNSYS) [34]. This software has been used by many scientific researchers with the aim of assessing the performance of building-integrated energy systems based on RES [35,36], and related results are reported in well-reputed, international scientific journals. These studies demonstrated that the TRNSYS program may be used in the analysis of the energy performance of buildings and renewable energy systems with high reliability, so that one can be confident of the accuracy of the predictions.…”

Section: Goals and Organization Of The Studymentioning

confidence: 99%

“…In this study, the software TRNSYS [34] has been used to model and analyze the energy, environmental, and economic performance of the baseline building. TRNSYS is widely adopted in the scientific literature for assessing the performance of building-integrated energy systems [35,44].…”

Section: Baseline Building Envelopementioning

confidence: 99%

Innovative Energy-Efficient Prefabricated Movable Buildings for Smart/Co-Working: Performance Assessment upon Varying Building Configurations

et al. 2023

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Worldwide, smart/co-working spaces are growing significantly, and prefabricated movable buildings for such an application could (i) save energy, CO2 emissions, and costs; (ii) enhance the worker’s perceived sense of surroundings; and (iii) support the rebirth of small villages with high regenerative potential. Innovative prefabricated movable building configurations to be used as an office for smart/co-working by a maximum of 6 persons have been designed and analyzed based on simulation data. In particular, 10 case studies corresponding to building configurations differing in terms of innovative energy-efficient measures related to the building envelope (smart windows operated under various control logics) and the energy systems serving the building (photovoltaic panels, small wind turbines, and electric storages) have been modeled and simulated by applying detailed dynamic simulation models via the simulation software TRNSYS. The performance of the 10 case studies has been compared from energy, environmental, and economic points of view with respect to a baseline system characterized by conventional building envelope and energy systems, with the aim of assessing the proposed measures and identifying the most efficient configuration. The simulation results highlighted that: (i) all the proposed alternative configurations allow to save primary energy (from 10.3% up to 100%), equivalent CO2 emissions(from 10.3% up to 100%), and operating costs (from 8.5% up to 100%) with respect to the baseline building; (ii) the building configurations including the smart windows only are not economically feasible in terms of simple pay-back (SPB) period, while the building configurations equipped with photovoltaic panels and/or electric storages and/or wind turbine represent a suitable investment thanks to an SPB lower than 15.2 years; (iii) a stand-alone building configuration for smart/co-working with energy demands totally covered by means of renewable sources can be obtained by combining smart windows, photovoltaic panels, electric storages and wind turbine.

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Analysis of energy demand in a residential building using TRNSYS

Cited by 46 publications

References 35 publications

Extracting electrical parameters of solar cells using Lambert function

Extracting electrical parameters of solar cells using Lambert function

A Novel Layout for Combined Heat and Power Production for a Hospital Based on a Solid Oxide Fuel Cell

Innovative Energy-Efficient Prefabricated Movable Buildings for Smart/Co-Working: Performance Assessment upon Varying Building Configurations

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