Parametric equations for energy and load estimations for buildings in India

Bansal, Neeru; Bhattacharya, Anupam

doi:10.1016/j.applthermaleng.2009.07.002

Cited by 11 publications

(3 citation statements)

References 1 publication

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“…BANSAL et al [25] as well as OURGHI [26] derived simplified analysis methods. Although some simplifications are acceptable for special scenarios, all of them may introduce a significant, systematic error as discussed by DEPECKER et al [27].…”

Section: Thermal Analysismentioning

confidence: 99%

Generative modeling and numerical optimization for energy efficient buildings

Ullrich

Silva

Eggeling

et al. 2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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A procedural model is a script, which generates a geometric object. The script's input parameters offer a simple way to specify and modify the scripting output. Due to its algorithmic character, a procedural model is perfectly suited to describe geometric shapes with well-organized structures and repetitive forms. In this paper, we interpret a generative script as a function, which is nested into an objective function. Thus, the script's parameters can be optimized according to an objective. We demonstrate this approach using architectural examples: each generative script creates a building with several free parameters. The objective function is an energy-efficiency-simulation that approximates a building's annual energy consumption. Consequently, the nested objective function reads a set of building parameters and returns the energy needs for the corresponding building. This nested function is passed to a minimization and optimization process. Outcome is the best building (within the family of buildings described by its script) concerning energy-efficiency. Our contribution is a new way of modeling. The generative approach separates design and engineering: the complete design is encoded in a script and the script ensures that all parameter combinations (within a fixed range) generate a valid design. Then the design can be optimized numerically

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Section: Thermal Analysismentioning

confidence: 99%

Generative modeling and numerical optimization for energy efficient buildings

Ullrich

Silva

Eggeling

et al. 2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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show abstract

“…The integrated design system, thus, must incorporate the eight subsystems of the building design features, which are, functional workability; aesthetical value; economic feasibility; comfortable liveability; environmental sustainability; social acceptability; structural safety; and technical viability, to achieve overall sustainable development (Figure 1). The rural architecture of India has been in consonance with its surrounding environment and evolved as a response to the social requirements as well as the unique interaction between the human cognizance and the natural phenomena [5][6][7][8]. The effective building forms have developed overtime that assures the attainment of high level of comfort both inside and outside space of built environment without employing alternate methods [2,9,10].…”

Section: Sustainable Development and Rural Architecturementioning

confidence: 99%

Contemplating the traditional rural architecture of Nalanda: A case study

Kumari

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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The fundamental purpose of a building is to provide a comfortable and safe living environment, which protects from the extremes of surrounding environment, as well as give an opportunity of physical and psychosomatic development. The traditional buildings evolved gradually to meet the eventually changing human needs and lifestyle over a period of time, integrates the environmental and socioeconomic characters of the society in a well manner. These buildings have attained deep reconciliation with site surroundings, and thus, have minimal environmental impact. In spite of rapidly growing concept of advanced technological approach towards sustainability, the concept of indigenous technology and traditional architecture plays an active role. The main objective of this paper is to understand the principles and strategies for sustainability from traditional rural architecture and indigenous technologies. The methodology adopted is documentation of a traditional rural house of Nalanda, India, and analyse the environmental and socioeconomic aspects. The data has been collected from surveys, site measurements, literature, and other secondary sources. The thermal performance of a traditional house is analysed through computer aided simulations in the present investigation. This paper concludes with an appreciation of principles of traditional rural architecture and advocates their integration in the present scenario.

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“…Carlo and Lamberts [5] developed a model based on linear regression to assess the electricity demand in regards of the quality of the commercial building envelope in Brazil. In the same track, Bansal and Bhattacharya [6] performed a model to predict the annual energy demand based on the variation of climatic conditions in India. A strong correlation between weather conditions and the energy demand for both cooling and heating was observed (R² 0.9).…”

Section: Introductionmentioning

confidence: 99%

Predicting energy demand of residential buildings: A linear regression-based approach for a small sample size

Boukarta

2021

Selected Scientific Papers - Journal of Civil Engineering

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The key design strategies that reduce the energy demand of buildings are not present in most thermal codes in many countries. Therefore, modeling techniques offer an alternative to combine the architects' modus operandi with the energy efficiency in the early stages of architectural design and with higher speed and precision. However, a review of the scientific literature using modeling techniques shows that most researchers use a relatively large sample of thermal simulations. This paper proposes a simplified method based on the linear regression modeling technique and considers a relatively smaller sample of thermal simulations. A total of 6 key building design strategies were identified, related to the urban context, building envelope, and shape factor. A simulation protocol containing 60 possible combinations was designed by random selection. In the present study, the Pleiades software was used to estimate the annual energy demand for heating and cooling for a typical dwelling in a humid climate zone. A parametric study and sensitivity analysis to identify the most efficient parameters was performed in SPSS 21. The resulting model predicts the annual energy demand with an accuracy of 93.7%, a root mean square error (RMSE) of 5.88, and a scatter index (SI) of 8.59%. The models performed could efficiently and quickly assist architects while designing the buildings in the architectural practice.

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Parametric equations for energy and load estimations for buildings in India

Cited by 11 publications

References 1 publication

Generative modeling and numerical optimization for energy efficient buildings

Generative modeling and numerical optimization for energy efficient buildings

Contemplating the traditional rural architecture of Nalanda: A case study

Predicting energy demand of residential buildings: A linear regression-based approach for a small sample size

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