Study Of Design Parameters Research Articles

Design and analysis of soft-switching and small-signal model grid-connected micro-inverter based on staggered parallel connection

Grid-connected micro-inverters, known for their straightforward wiring and operational stability, have garnered increasing interest from both industry and academia. However, the operational inefficiency of conventional inverters, the issue of distorted output waveforms, and the safety concerns with alternating current (AC) and direct current (DC) safety isolation limit the wide availability and utilization of micro-inverters. In order to overcome this problem, this research proposes a circuit topology consisting of two flyback circuits connected in parallel on the primary side of the transformer for safe isolation. Additionally, soft switches are incorporated into the flyback circuit at the front stage, with a voltage total harmonic distortion (THD) of less than 3.0 %. This study also develops a small-signal model to help with obtaining the current loop parameters. Parametric design and simulation studies with PLECS software confirmed the circuit architecture and control technique's accuracy. A 600 W prototype's design, analysis, and experimental validation are described. The proposed inverter has an efficiency of up to 97.2 %. The design and control methods employed in this paper offer a conceptual framework and engineering reference for relevant research and practical applications.

Parametric design and performance study of continuous gradient triply periodic minimal surface bone scaffold

Continuous gradient triply periodic minimal surface (TPMS) porous structure has been proven to be one of the most suitable structures for bone implants due to their excellent mechanical properties and high porosity. This study establishes a parametric modeling method for continuous gradient TPMS structures and optimizes the TPMS porous structure with a continuous gradient change in porosity. Ti-6Al-4V continuous gradient TPMS porous structures were prepared using powder bed fusion (PBF). The mechanical properties and permeability of the continuous gradient TPMS porous structure were studied. The results indicate that the porosity control parameter C for gradient continuous change follows a linear function, with the porosity increasing linearly within the specified range of values. The influence of the periodic parameter ω on the mechanical properties and permeability of different types of TPMS structures varies. The Gyroid continuous gradient structure aligns more closely with the mechanical properties and permeability of bone scaffolds. Furthermore, a TPMS continuous gradient porous structure that is more suitable for trabecular bone implants was obtained through topology optimization design. A bone implant model and object suitable for human trabecular bone were designed and printed, providing technical support for subsequent performance testing and application research of bone implants.

Tabulated chemistry method for fast calculations of detailed chemical kinetics in system level simulations of internal combustion engines

To reduce the emissions from internal combustion engines, new combustion strategies along with alternate fuels blends are currently under investigation. The engine performance and emissions depend primarily on the chemical reactions occurring inside the engine. However, the modeling of reactions in engine simulation models using a detailed reaction mechanism is computationally very expensive, especially for very large mechanisms. Hence, a tabulated chemistry solver is developed in this work to reduce the computational time. The thermochemical states of the mixture are pre-calculated at different engine operating conditions based on homogeneous reactor simulations and stored in a lookup table which can be interpolated during the engine simulations. The present work introduces a novel method for thermochemical mapping between detailed chemistry and tabulated chemistry along with automatic identification of important intermediate species during table generation. The evolution of the thermochemical state of the mixture is described using a progress variable and its derivative. Different progress variables are investigated, and a novel formulation is proposed. The method is then applied to predict the reactions and knock phenomenon as well as the emissions in spark-ignited engines. The results using the tabulated chemistry are in good agreement with the detailed chemistry. The crank angle at the knock onset is predicted with a root-mean-squared error of 0.6 degrees crank angle. The cylinder pressure and temperature are in excellent agreement with the full detailed chemistry solution. The concentration of emissions (CO, NOx etc.) are also in good agreement for a wide range of engine operating conditions. The tabulated chemistry method provided a speedup of ~750 times as compared to detailed chemistry for a mechanism with 679 species. The computational time of the tabulated chemistry method remains constant and independent of the mechanism size. The method can be applied to large parametric studies for engine design, optimization, and calibration.

Extended melt‐conveying models for single‐screw extruders: Integrating domain knowledge into symbolic regression

AbstractThe literature provides several analytical approximation methods for predicting the flow of non‐Newtonian fluids in single‐screw extruders. While these are based on various flow conditions, they were developed mostly for extruder screws with standard geometries. We present novel analytical melt‐conveying models for predicting the flow and dissipation rates of fully developed flows of power‐law fluids within three‐dimensional screw channels. To accommodate a broad range of industrial screw designs, including both standard and high‐performance screws, the main intention of this work was to significantly extend the scope of existing theories. The flow equations were first rewritten in a dimensionless form to reduce the mathematical problem to its dimensionless influencing parameters. These were varied within wide ranges to create a set of physically independent modeling setups, the flow and dissipation rates of which were evaluated by means of a finite‐volume solver. The numerical results were then approximated analytically using symbolic regression based on genetic programming. To support the regression analysis in finding accurate solutions, we integrated domain‐specific process knowledge in the preprocessing of the dataset. We obtained three regression models for predicting the flow and dissipation rates in melt‐conveying zones and tested their accuracy successfully against an independent set of numerical solutions.Highlights Flow of power‐law fluids in three‐dimensional screw channels Identification of independent influencing parameters by dimensional analysis Numerical parametric design study for a broad range of industrial applications Integration of domain knowledge in symbolic regression Surrogate models derived from numerical simulation results

A Parametric Design Study of Natural-Convection-Cooled Heat Sinks

Effective natural-convection-cooled heat sinks are vital to the future of electronics cooling due to their low energy demand in the absence of an external pumping agency in comparison to other cooling methods. The present numerical study was carried out with ANSYS Fluent and aimed at identifying a more-effective fin design for enhancing heat transfer in natural convection applications for a fixed base-plate size of 100 mm × 100 mm under an applied heat flux of 4000 W/m2. The Rayleigh number used in the present study lied within the range of 2.6 × 106 to 4.5 × 106. Initially, a baseline case with rectangular fins was considered in the present study, and it was optimized with respect to fin spacing. This optimized baseline case was then validated against the semi-empirical correlation from the scientific literature. Upon good agreement, the validated model was used for comparative analysis of different heat sink configurations with rectangular, trapezoidal, curved, and angled fins by constraining the surface area of the heat transfer. The optimized fin spacing obtained for the baseline case was also used for the other heat sink configurations, and then, the fin designs were further optimized for better performance. However, for the angled fin case, the optimized configuration found in the scientific literature was adopted in the present study. The proposed novel curved fin design with a shroud showed a 4.1% decrease in the system’s thermal resistance with an increase in the heat transfer coefficient of 4.4% when compared to the optimized baseline fin case. The obtained results were further non-dimensionalized with the proposed scaling in terms of the baseline case for the two novel heat sink cases (trapezoidal, curved).

Parametric investigation of the aerodynamic and acoustic performance of a low-boom supersonic airliner

In the present work, a parametric design study in the conceptual design phase of a low-boom supersonic airliner (LBSSA) is presented. The low-boom constraint is of great importance to the near future supersonic airliners, in order for them to be certified for overland operation, but is also usually associated with a penalty in their aerodynamic performance (e.g. increased drag) and subsequently a higher fuel consumption. In this work, a dedicated low-fidelity design tool for the conceptual and early preliminary design of a LBSSA is developed which includes both Class-I and Class-II weight calculations. The design tool is also capable of predicting the aircraft’s aerodynamic performance in both the subsonic and supersonic cruise segments of its mission. The aerodynamic behavior of the LBSSA is then compared against the results obtained from high fidelity Computational Fluid Dynamics (CFD) modeling. Regarding the acoustic behavior of the LBSSA, Carlson’s simplified method is employed, which is based on the equivalent area distribution of the aircraft, in order to provide representative trends and results in the conceptual design phase. Finally, the contribution of the examined design parameters, in the aerodynamic and acoustic performance of the resultant LBSSA is presented and clear trends are indicated.

An analytical study of precast, prestressed concrete girder spans using 0.7 in. strand

It has been proposed that 0.7 in. (17.8 mm) diameter prestressing strand be permitted for use in bridge girders. If 0.6 in. (15.2 mm) diameter strand is replaced on a one-to-one basis with 0.7 in. strand, the pretensioning force can be increased by 35%. When designs use 0.7 in. strands as well as high concrete strengths, longer-span prestressed concrete girders may be achieved. An extensive analytical study is presented to assess the maximum girder span lengths that can be achieved when using 0.6 and 0.7 in. strands. A parametric design study with 584 cases was conducted to examine the influence of girder shape and size on the potential benefits of using 0.7 in. strands. A detailed finite element analysis of some of the longer spans achieved was also conducted. The impacts of using 0.7 in. strands on end-region detailing requirements, prestress transfer, and handling and erection stability of long-span girders were examined. Girder span increases of up to 22% were achieved using 0.7 in. strand in place of 0.6 in. strand. The larger pretension forces affected end-region detailing and increased congestion, though all resulting requirements were constructible. The longer spans affected girder stability calculations, and some girder types required a wider top flange to meet stability-related limit states.

Evaluations of corrugated macro-structure porous heat sinks for the combined heat dissipation and noise reduction performance

In compact air convection cooling applications, it is desirable to satisfy noise reduction and heat dissipation within same functional space. Designing a solution for such application need to consider thermal, acoustic and flow aspects. The corrugated arrangement of porous material is utilized for the combined thermal-acoustic function, as it is known to offer a lesser mean-flow pressure drop than other geometries such as block shape, wedge shape. It consists of air channels separated by porous walls which conduct the heat away from base of the heat sink. The porous walls are considered to be consisting of a periodic foam material. The effect of higher-than-ambient temperatures on the acoustic performance of the corrugated arrangement is observed experimentally using a custom-built test setup. Two designed, additively manufactured corrugated porous heat sink samples with octet truss periodic foam are tested within the heat sink operating conditions observed typically in electronics cooling applications (<70 °C). A coupled thermal-acoustic model is presented to predict and study the performance of the corrugated porous heat sinks for the combined application. The relevant performance parameters are pressure drop, overall thermal resistance and transmission loss (TL). Using this model, a simple parametric design study is enabled with variations in porosity and different macro-geometric parameters of the corrugated arrangement.

Quasi-Static Homogenization of Glide-Symmetric Holey Parallel-Plate Waveguides With Ultra-Wideband Validity

Glide-symmetric (G-S) waveguides made of metallic metasurfaces are a wideband, low-loss, low-cost, and conformable alternative to dielectric materials for the design of antenna lenses at millimeter waves. However, computing the effective refractive index of glide-symmetric waveguides with existing full-wave analysis techniques results in cumbersome parametric studies for each new design. This article presents a new analytic homogenization technique for glide-symmetric holey parallel-plate waveguides (PPWs). The dispersion equation of these structures, found by way of mode-matching, is simplified at low frequency using the properties of the modes resonating within the holes, independently of the hole shape. This simplified equation yields a closed-form expression of the effective refractive index, relying on the eigenmodes of the hole cross section. This formula avoids solving a 3-D full-wave problem and is fully analytic in the case of canonical hole shapes. Although derived in the quasi-static regime, it characterizes propagation over an ultrawide band, due to the low dispersive properties of glide symmetric structures. It is a function of the angle of propagation within the waveguide and can thus be used to study anisotropic properties. Its efficiency is demonstrated with the example of glide-symmetric PPWs with rectangular and circular holes.

Development of Daylight Glare Analysis Method Using an Integrated Parametric Modelling Approach: A Comparative Study of Glare Evaluation Standards

Conducting lighting simulations to investigate lighting performance, such as glare, is widely accepted and of particular interest in the design development stage. However, the main challenge remains in integrating lighting performance metrics into a streamlined modelling and evaluation workflow. With the advancement in digital and modelling technologies, an automatic workflow of modelling parametric design studies with lighting performance evaluation becomes feasible. This study investigates a parametric modelling approach to facilitate glare evaluation using China Green Building Standard as an example. Their glare evaluation adopted the known daylight glare index (DGI) with a revised glare source definition in the calculation. An evaluation toolkit is presented, demonstrating its applications with the sky model. Compared with DGI, the results articulate how a parametric modelling workflow can automate lighting performance evaluation and facilitate technical investigation and clarifications for glare evaluation. Through the parametric simulation studies, the differences in the limited metric scale and the sensitivity of capturing window sizes on the glare evaluation suggest future evaluation protocols for the environmental standard development.

Uncertainty and Sensitivity Analysis of Bleed Modeling in Shock/Turbulent Interactions

Bleed is often used to alleviate the detrimental effects of shock-wave/boundary-layer interactions in high-speed vehicles. Simulations play a crucial role in successfully implementing this control methodology; however, high-fidelity approaches are prohibitively expensive for parametric design studies. Thus, simplified models are typically employed. The errors introduced by these models are difficult to quantify, especially under off-design conditions, which results in compounding uncertainties in realistic configurations. To address this knowledge gap, a three-dimensional Reynolds-averaged Navier–Stokes simulation with discrete bleed holes is compared to a two-dimensional simulation with a bleed boundary condition. Notable differences in boundary-layer shape and turbulence parameters are observed, which are then used to perform sensitivity analyses on an impinging shock response. The response quantity of interest is the shock-reflection angle, for which a variation of more than 3 deg is observed. The most sensitive input uncertainties are found to be the inflow shape factor and the eddy viscosity magnitude, which have not been directly explored in existing models. Therefore, this work assimilates the simulation results to account for the observed disagreement between existing experimental and numerical campaigns. Additionally, the identified sensitive parameters inform future model development efforts, thus aiding in improving the design capabilities of high-speed inlets.

An Innovative Approach to Design and Optimize Flow Field Pattern of Polymer Electrolyte Membrane Fuel Cell

To increase power density of polymer electrolyte membrane fuel cells (PEMFCs), further optimization and downsizing of cell and stack design are necessary.To support cell and stack design, we have been developing a three-dimensional (3D) PEMFC simulator P-Stack [1]. P-Stack can estimate power generation performance in good agreement with experimental results, and can clarify relationships between the performance and internal states depending on cell designs, operation conditions, and material properties [1]. Although 3D PEMFC simulations are powerful means, preparing 3D model is very time consuming, thus it was difficult to explore various cell designs.In the present study, we have developed a new modeling technology for PEMFC flow fields. In this technology (Figure (a)), flow fields of anode and cathode gases are drawn by lines in 2D canvas. Properties of the lines such as width, depth and wall angle are given, then it automatically generate 3D model for anode/cathode flow fields and bipolar plates, coolant flow field, seal, gasket and MEA. Power generation performance of the 3D model can be estimated by P-Stack continuously. In addition, the line properties, vertex positions, and the number of repeat can be parametrized, enabling the parametric study of cell design.In this technology, pressure and flow rate distributions can be calculated by a network model based on Darcy’s law [1], without generating 3D model. As shown in Figure (b), the result is in good agreement with computational fluid dynamics (CFD) calculation of 3D model. Although the CFD calculation takes several hours using 32 parallel processes, the calculation of the network model is finished within several seconds using single process. In similar manner, it can calculate flow rate distribution of cells in the stacking axis. Since the execution time per one case is very short, it can be combined with optimization by genetic algorithm (GA).In the presentation, we will talk about a result of the parametric study and optimization for more practical cell design. Influence of flow field design on power generation performance and internal states will be discussed.

Eddy current loss estimation for direct drive wind turbine generators with superconducting excitation winding by numerical and analytical models

AbstractDirect drive wind turbine generators with superconducting excitation winding are studied with focus on the electromagnetic damper design. A semi‐analytical eddy current model is built for parametric design studies based on a vector potential approach. The considered generators employ open stator slots and exhibit strong saturation effects, so that an analytical expression for the source terms is not adequate. Whilst the field equations are solved analytically, an equivalent current loading, accounting for slotting effects and saturation, is obtained by magnetostatic models applying the 2D finite element method (FEM). The proposed framework for the extraction of the current loading is universal and may also be applied to other machine types (e.g., permanent magnet synchronous machines, [PMSM]). In relation to transient FEM models, a considerable time‐saving can be achieved, which is particularly beneficial in case of large models, for example, in case of fractional slot windings or intermittent feeding schemes. The eddy current loss in warm and cold rotor parts in a direct drive generator in the 7 MW power class are computed with the semi‐analytical and transient 2D FEM models under variation of the damper geometry and the stator winding configuration. Minimum damper dimensions as well as constraints regarding applicable stator windings are derived.

Grasp Stability and Design Analysis of a Flexure-Jointed Gripper Mechanism via Efficient Energy-Based Modeling

For flexure-based gripper mechanisms, the arrangement and design of joint elements may be chosen to allow enclosure of objects in grasping. This must provide stable containment under load, without causing excessive stress within the joint materials. This paper describes an energy-based model formulation for a cable-driven flexure-jointed gripper mechanism that can accurately describe the nonlinear load-deflection behavior for a grasped object. The approach is used to investigate the limits of grasp performance for a gripper with two single-joint fingers through simulation studies, including the accurate prediction of stability limits due to joint buckling. Hardware experiments are set up and conducted to validate the theoretical model over a range of loading conditions that exceed limits for stable grasping. Parametric design studies are also presented to show the influence of joint geometry on both grasp stability and flexure peak stress. Considering the intersection of feasible design sets, generated from simulation data over a range of possible object geometries, is shown to be an effective approach for selecting gripper design parameters.

Modeling melt conveying and power consumption of co‐rotating twin‐screw extruder kneading blocks: Part A. Data generation

AbstractMathematical models of polymer melt flow in co‐rotating twin‐screw extruders are crucial to screw design and predict processing characteristics, such as pressure distribution, back‐pressure lengths, degree of filling, melt‐temperature increase, and drive power. Twin‐screw modeling focuses predominantly on conveying elements, and kneading blocks are commonly represented with fictitious continuous flights, which significantly simplifies geometry and ignores considerable leakage flow. This work (Part A) presents a comprehensive analysis of the conveying characteristics and power demands of fully intermeshing co‐rotating twin‐screw extruder kneading blocks that considers the complex three‐dimensional geometry without geometrical simplifications. This analysis comprises the following steps: (1) dimensionless description of the geometry, (2) simplification of the governing equations, (3) formulation of novel dimensionless conveying and power parameters, and (4) a parametric design study with the novel approach of using the characteristic angular screw position, which avoids complex numerical algorithms and drastically reduces the computation required. Our comprehensive parametric design study included 1536 independent design points—a vast amount of data that revealed various effects that are highlighted in this work, including new findings on the interactions between geometry and conveying and power parameters. The obtained results serve, for example, as the basis for screw design, optimizations, scale‐up, and soft sensors.

Multi-Dimensional Regression Models for Predicting the Wall Thickness Distribution of Corrugated Pipes.

Corrugated pipes offer both higher stiffness and higher flexibility while simultaneously requiring less material than rigid pipes. Production rates of corrugated pipes have therefore increased significantly in recent years. Due to rising commodity prices, pipe manufacturers have been driven to produce corrugated pipes of high quality with reduced material input. To the best of our knowledge, corrugated pipe geometry and wall thickness distribution significantly influence pipe properties. Essential factors in optimizing wall thickness distribution include adaptation of the mold block geometry and structure optimization. To achieve these goals, a conventional approach would typically require numerous iterations over various pipe geometries, several mold block geometries, and then fabrication of pipes to be tested experimentally—an approach which is very time-consuming and costly. To address this issue, we developed multi-dimensional mathematical models that predict the wall thickness distribution in corrugated pipes as functions of the mold geometry by using symbolic regression based on genetic programming (GP). First, the blow molding problem was transformed into a dimensionless representation. Then, a screening study was performed to identify the most significant influencing parameters, which were subsequently varied within wide ranges as a basis for a comprehensive, numerically driven parametric design study. The data set obtained was used as input for data-driven modeling to derive novel regression models for predicting wall thickness distribution. Finally, model accuracy was confirmed by means of an error analysis that evaluated various statistical metrics. With our models, wall thickness distribution can now be predicted and subsequently used for structural analysis, thus enabling digital mold block design and optimizing the wall thickness distribution.

Numerical investigation of the transient performance of a reversible solid oxide cell during the mode switching process

Reversible solid oxide cells (RSOC) have attracted much attention due to their unrivaled efficiency. As one of the most promising energy storage and conversion technologies, the RSOC will have to switch frequently between fuel cell and electrolysis mode to follow the nature of intermittent renewable energy sources and meet time-varying electricity demand. In this paper, a 3D dynamic model of a single repeating unit was developed and validated. Based on this model, the interaction between the transient external electrical performance with the temporal-spatial evolution of the reactant and product concentrations was investigated during the RSOC switching from SOFC to SOEC. Once the mode switching occurs, the power density decreases to a lower value and then asymptotically recovers to a new quasi-steady state. The recovery time of the concentration field within porous electrodes determines the total transient time. In addition, detailed parametric studies for the key design and operational parameters are conducted to find out their impact on the power density overshoot (PDO) and relaxation time (τ0). The results suggest that shortening the cell length can effectively reduce PDO and τ0. With the hydrogen molar fraction of the incoming fuel gas (xH2) equal to 0.2 and 0.8, respectively, the maximum values of PDO and τ0 are attained. Compared with the maximum value, when adopting 0.4 ≤ xH2 ≤ 0.6, the PDO and τ0 can be reduced by 40 % and 25 %, respectively. Extending the mode switching time can effectively reduce PDO and τ0. The power density drops directly into the quasi-steady state without oscillations when the switching time is more than 0.3 s, and the τ0 is slightly shorter than the mode switching time.

Parametric Design Studies of Mass-Related Global Warming Potential and Construction Costs of FRP-Reinforced Concrete Infrastructure.

Fibre-reinforced polymers (FRPs) are a promising corrosion-resistant alternative to steel reinforcement. FRPs are, however, generally costly and have a high energy demand during production. The question arises whether the high performance of FRPs and possible savings in concrete mass can counterbalance initial costs and environmental impact. In this paper, a parametric design study that considers a broad range of concrete infrastructure, namely a rail platform barrier, a retaining wall and a bridge, is conducted to assess the mass-related global warming potential and material costs. Design equations are parametrised to derive optimum reinforced concrete cross-sectional designs that fulfil the stated requirements for the serviceability limit state and ultimate limit state. Conventional steel reinforcement, glass and carbon FRP reinforcement options are evaluated. It is observed that the cross-sectional design has a significant influence on the environmental impact and cost, with local extrema for both categories determinable when the respective values become a minimum. When comparing the cradle-to-gate impact of the different materials, the fibre-reinforced polymer-reinforced structures are found to provide roughly equivalent or, in some cases, slightly more sustainable solutions than steel-reinforced structures in terms of the global warming potential, but the material costs are higher. In general, the size of the structure determines the cost competitiveness and sustainability of the FRP-reinforced concrete options with the rail platform barrier application showing the greatest potential.

Quantifying potential dynamic façade energy savings in early design using constrained optimization

Parametric design and optimization studies have demonstrated high energy savings for dynamic building envelope materials compared to static high-performance envelopes. However, most parametric studies about dynamic buildings were conducted on prototypical buildings with a focus on either optimal geometric settings or idealized material property characteristics, neglecting the potential collective effects of geometric and material design decisions on energy performance. This study investigates the implications of an automated sequential optimization process while designing with dynamic envelope materials. Two case studies were used to quantify energy savings across different optimization-based design procedures and identify the relative importance of various decision categories. When considering realistic design constraints and intrinsic material limitations, geometric optimization alone yielded only 2% energy savings, while dynamic material optimization savings reached up to 19%. Significantly, a sequential design process in which the geometry is configured first before the façade is optimized and vice versa can lead to around 5% missed energy savings. These findings encourage changes to traditional design guidelines and simulation-based building design approaches when working with dynamic façades.

PARAMETRIC DESIGN STUDY OF A PROPOSED PHOTOBIOREACTOR-INTEGRATED VERTICAL LOUVER SYSTEM FOR ENERGY-EFFICIENT BUILDINGS

ABSTRACT In recent years, researchers have been actively attempting to integrate biological materials into static building envelope systems. One promising approach is the integration of flat panel photobioreactors into building envelope systems and the BIQ (Bio-Intelligent Quotient) house is the state-of-the-art case building; however, the additional costs for glazing systems to contain photobioreactors, complexity of controlling cultures for microalgae growth, and difficulty of providing indoor environmental quality have kept flat panel photobioreactor systems from being applied widely. If we are able to bring about pleasant physical comforts for occupants through the use of shading devices capable of functioning as the photobioreactors, we can not only grow microalgae but also use less operational energy input to provide better IEQ for occupants. To this end, this study has explored a way to optimize the physical and functional properties of photobioreactor (for Chlorella sp.)-integrated shading devices (specifically vertical louvers). To find the optimal shape for static vertical louvers to be positioned on the west-facing facade, parametric design studies were conducted. To find the optimal vertical louver geometry among numerous alternatives, computer simulations were conducted in terms of three performance criteria (thermal balance by solar radiation, Daylight Autonomy, and microalgae growth rate) and an optimal option was found with the genetic algorithm optimization solver. To ensure reliability of the computer simulation (including numerical model) results, a series of experiments was conducted under the analogous climatic conditions; the computer simulation results were validated with the experimental data. When it comes to hourly indoor illuminance performance, the error between experimental data and computer simulation results was within a range of 5–20%; for average microalgae growth rate, the error was up to 19.9%. Despite the relatively high error between the simulation results and measurements, considering ever-changing light intensity conditions in our measurement compared to that of the computer simulation, it was justifiable to utilize the computer simulation results for the current parametric design study. Finally, the biofuel energy production from the proposed static envelope system was estimated to be 16.5 kWh/m2yr, which is smaller than the state-of-the-art annual biofuel energy production (30.0 kWh/m2yr) from the BIQ house. Nevertheless, the results are promising, given that we used the worst cultivation conditions for the microalgae in the current study.