Energy efficient building design using sensitivity analysis—A case study

Tavares, Paulo; Martins, António Gomes

doi:10.1016/j.enbuild.2006.04.017

Cited by 79 publications

(30 citation statements)

References 2 publications

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“…Sensitivity coefficients may be determined on the basis of any number of simulation results [10][11][12][13]. Even using the same output results, the sensitivity coefficient may be expressed in various forms.…”

Section: Sensitivity Analysis For Building Energy Simulationmentioning

confidence: 99%

“…For thermal interactions between building variables based on building physics problems, it is unable to describe the physical phenomena by simple mathematical relationships since descriptions and relationships are so abstract and complicated [10][11][12][13]22,23].…”

Section: Sensitivity Analysis For Building Energy Simulationmentioning

confidence: 99%

“…Most of building energy studies adopted a constrained optimization because there are often physical and practical limitations on the input design parameters [10][11][12].…”

Section: Sensitivity Analysis For Building Energy Simulationmentioning

confidence: 99%

“…They analyzed important input design factors from the perspective of annual building energy consumption. Tavares et al [11] investigated an intelligent design using sensitivity analysis to make a sustainable building in a town in the region of Portugal. Several options for constructive parameters have been explored for energy efficient building design.…”

Section: Introductionmentioning

confidence: 99%

“…This approach has a limitation in solving a non-linear problem in a building thermal environment, the sensitivity analysis can provide appropriate information for determining the best alternative for a given situation [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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A Heuristic Rule-Based Passive Design Decision Model for Reducing Heating Energy Consumption of Korean Apartment Buildings

Suh

Chang

2014

Energies

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This research presents an evaluative energy model for estimating the energy efficiency of the design choices of architects and engineers in the early design phase. We analyze the effects of various parameters with different characteristics in various combinations for building energy consumption. With this analysis, we build a database that identifies a set of heuristic rules for energy-efficient building design to facilitate the design of sustainable apartment housing. Perturbation studies are based on a sensitivity analysis used to identify the thermal influence of the input design parameters on various simulation outputs and compare the results to a reference case. Energy sensitivity weight factors are obtained from an extensive sensitivity study using building energy simulations. The results of the energy sensitivity study summarized in a set of heuristic rules for evaluating architectural features are estimated through case studies of Korean apartment buildings. This study offers valuable guidelines for developing energy-efficient residential housing in Korea and will help architects in considering appropriate design schemes and provide a ready reference to generalized test cases for both architects and engineers so that they can zero in on a set of effective design solutions. OPEN ACCESSEnergies 2014, 7 6898

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Section: Sensitivity Analysis For Building Energy Simulationmentioning

confidence: 99%

Section: Sensitivity Analysis For Building Energy Simulationmentioning

confidence: 99%

“…Most of building energy studies adopted a constrained optimization because there are often physical and practical limitations on the input design parameters [10][11][12].…”

Section: Sensitivity Analysis For Building Energy Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Heuristic Rule-Based Passive Design Decision Model for Reducing Heating Energy Consumption of Korean Apartment Buildings

Suh

Chang

2014

Energies

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Sensitivity Analysis of Optimum Insulation Thickness for Pipe Diameters in Pipe Insulation with Air Gap for City Pipelines

Ural

Daşdemir

Keçebaş

2019

Env Prog and Sustain Energy

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The use of effective insulation methods to reduce heat loss and minimize its economic and environmental effects in city piping systems is an important topic globally. This study uses a new method for insulation of city piping systems of an air gap around pipelines and optimizes the thickness of insulation for the pipe. With this aim, a mathematical model based on heat degree days and life cycle cost analysis is used. Thus, according to the insulation thickness, air gap and pipe diameter values, the objective functions of optimum insulation thickness, energy cost savings, and payback period are comparatively assessed. The results indicate that using an air gap causes an 89% and 57% fall in optimum insulation thickness values for small and large diameter pipes, respectively. Additionally, sensitivity analysis was completed for the objective functions in terms of parameters such as interest rate, discount rate, life span, unit cost of fuel, cost of insulation material per unit volume, heat degree day, and air gap values. Based on the study methodology, life span, air gap, and unit fuel cost parameters were shown to have a significant effect on the objective functions. When insulation with air gap is applied, together with reducing the optimum insulation thickness at least 72% (from 0.009 to 0.031 m), it increases energy cost savings at 74% (from 5.47 to 21 $/m‐yr) for large diameter pipes and reduces the payback period at 78% (from 0.1 to 0.04 yr‐m) for small diameter pipes. © 2019 American Institute of Chemical Engineers Environ Prog, 38:e13146, 2019

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