Near Zero Energy House (NZEH) Design Optimization to Improve Life Cycle Cost Performance Using Genetic Algorithm

Latief, Yusuf; Berawi, Mohammed Ali; Koesalamwardi, Ario Bintang; Supriadi, Leni Sagita Riantini

doi:10.1088/1755-1315/124/1/012006

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…It cannot consume and does not cause environmental pollution when used. The converting of solar radiation (SR) into electricity using solar cells system for producing this alternate energy occurs when the sunlight drops on the surface of the solar cell [1][2][3][4][5][6]. Creating simulation or modeling and analysis programs for the solar unit is a necessary and urgent procedure before installing the solar system because it helps to understand the unit's behavior in the actual climatic conditions of the worksite [7].…”

Section: Introductionmentioning

confidence: 99%

Identification the internal parameters for mono-crystalline solar module using Matlab-simulation and experimental ascertainment

2021

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The research studies the effects of some weather parameters for Baghdad city on the output of the solar module of the type monocrystalline. The experimental part measures the electrical parameters of the photo-voltaic (PV) module for three levels of radiation rate 500, 750, and 1000 W/m 2 . The theoretical part includes the modeled and simulation of the PV panel, via the proposed mathematical single-diode model (SDM, 5 parameters), and Matlabsimulation. The Newton Raphson method was applied to find the output current of the solar panel and the plotting P-V, I-V curves. The work involves preparing a simple mathematical model to estimate the optimal ambient conditions to give the highest output of the solar module. The validation of the model was verified by the practical testing of the cell for 6 months. The best results were obtained at standard testing conditions (25℃, 1000 W/m 2 ). The output power calculated by the mathematical model was 30.1 W while from experimental work was 30.45 W. The relative error is 1.15%. The converge between experimental and modeling results for the same conditions is about 98.9% that proves the validity of the proposed model and the possibility of using it for all types of photovoltaic.

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Section: Introductionmentioning

confidence: 99%

Identification the internal parameters for mono-crystalline solar module using Matlab-simulation and experimental ascertainment

2021

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“…It provides a technique to achieve the optimal strategy established on the variable design groupings of NZEH. The investigated design parameters include photovoltaic (PV) array efficiency optimization [2,3]. For designing a solar photovoltaic system for a single family dwelling, the civil engineer must design the structural engineering or architecture for PV supplemental information to construct a structure and a roof plan.…”

Section: Introductionmentioning

confidence: 99%

Optimum Efficiency of PV Panel Using Genetic Algorithms to Touch Proximate Zero Energy House (NZEH)

Ahmed

Alhialy

2019

Civ Eng J

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By optimizing the efficiency of a modular simulation model of the PV module structure by genetic algorithm, under several weather conditions, as a portion of recognizing the ideal plan of a Near Zero Energy Household (NZEH), an ideal life cycle cost can be performed. The optimum design from combinations of NZEH-variable designs, are construction positioning, window-to-wall proportion, and glazing categories, which will help maximize the energy created by photovoltaic panels. Comprehensive simulation technique and modeling are utilized in the solar module I-V and for P-V output power. Both of them are constructed on the famous five-parameter model. In addition, the efficiency of the PV panel is established by the genetic algorithm under the standard test conditions (STC) and a comparison between the theoretical and experimental results is done to achieve maximum performance ranging from 0.15 to 0.16, particularly with an error of about - 0.333 for an experimental power of 30 Watts compared with the theoretical power of 30.1 Watts. The results obtained by the genetic algorithm give the best value for efficiency at the range of 16% to 17% of solar radiation, from 500–600 W/m2. These values are almost identical to the efficiency obtained from the results of the operation, where the best value for efficiency in the experimental results was seen to be 15.7%.

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Review and Case Study of Thermal Energy Harvesting Opportunities in Buildings

De Pinto,

Lytle,

Fung

2023

Environmental Science and Engineering

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Near Zero Energy House (NZEH) Design Optimization to Improve Life Cycle Cost Performance Using Genetic Algorithm

Cited by 3 publications

References 4 publications

Identification the internal parameters for mono-crystalline solar module using Matlab-simulation and experimental ascertainment

Identification the internal parameters for mono-crystalline solar module using Matlab-simulation and experimental ascertainment

Optimum Efficiency of PV Panel Using Genetic Algorithms to Touch Proximate Zero Energy House (NZEH)

Review and Case Study of Thermal Energy Harvesting Opportunities in Buildings

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