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Energy efficient building

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Indian Institute of Technology, Kharagpur Presented by KANTHAMANI K.H
Transcript
Page 1: Energy efficient building

Indian Institute of Technology, Kharagpur

Presented by

KANTHAMANI K.H

Page 2: Energy efficient building

Contents: 1

• Introduction• Objective• Energy utilized over the life cycle of building• Use of Technologies for making a building energy

efficient• Methodology• Conclusion• References

Page 3: Energy efficient building

In India, 30 to 40% of all primary energy is used in buildings

The main aim of energy efficient building is to produce buildings with a minimum of environmental impact

Plays a major role in minimizing overall energy consumption and cost

Around the world, the private and business divisions utilize 2,589 Mtoe (Mega tonnes of oil equivalent) in energy, which represents very nearly 40% of final energy use on the planet

INTRODUCTION 2

Page 4: Energy efficient building

OBJECTIVE 3

To modulate the condition such that they are always within or as close as possible to comfort zone

Increasing demand for building services and comfort levels, together with the rise in time spent inside buildings, assure that the upward trend in energy demand will continue in the future

For this reason, energy efficiency in buildings is today a prime objective for energy policy at regional, national and international levels

Page 5: Energy efficient building

Energy utilized over the life cycle of building 4

Fig:1, source: Hyunjoo Kim , Annette Stumpf, Wooyoung Kim, Automation in Construction, January 2011.

Page 6: Energy efficient building

Consumption by end use for different building types 6

Fig:2 , Source: I. Sartori ,A.G. Hestnes , Energy and Buildings, March 2007.

perc

enta

ge

Page 7: Energy efficient building

Fig -3, Source: I. Sartori ,A.G. Hestnes , Energy and Buildings, March 2007.

Use of Technologies for making a building energy efficient 7

Page 8: Energy efficient building

Methodology Data mining technique 8

Process of extraction of useful information and patterns from huge data and its also called as knowledge discover process

Help project teams discover useful patterns to improve the energy efficiency of building design during the design phase

Fault detection and diagnostics analytic tools provide insights into building systems that help reduce energy consumption, improve building performance and lower costs

Page 9: Energy efficient building

Steps used to achieve the data mining technology 9

Requirement definition

Energy modelling

Data analysis

Page 10: Energy efficient building

Energy Simulation in building design 9

Allows architects and engineers to visualize, how energy is consumed and for what reasons

An energy model – allows comparative analysis between proposed design and altered design, just providing with the scope of cutting down on energy usage

Assists in availing green building certificates

Data mining functionalities

Characterization, discrimination, association, classification, clustering, outlier, and trend analysis, etc.

Page 11: Energy efficient building

Currently used analytical techniques 9

Fig-4, source: Jan, 2010 , wolfgang, netnography.

Data Mining Web Analytics Data Visulization CRM Analytics Text Analytics Social Network Analysis Link Analysis Blog Mining Screen / Web Scraping0%

10%

20%

30%

40%

50%

60%

70%

0.58

0.52

0.45 0.44

0.38

0.33

0.26 0.25

0.19

Page 12: Energy efficient building

Conclusion 10

To improve the energy efficiency of building design during the design phase

Because of detecting the fault in the building design, this reduces the energy consumption and increases the energy efficiency in the building sector

Energy savings were significantly ranging between 10 to 12% of the total energy consumption

Page 13: Energy efficient building

References 11

Thormark, C. (2002). A low energy building in a life cycle—its embodied energy, energy need for operation and recycling potential. Building and environment, 37(4), 429-435

Sartori, I., & Hestnes, A. G. (2007). Energy use in the life cycle of conventional and low-energy buildings: A review article. Energy and buildings, 39(3), 249-257

Kim, H., Stumpf, A., & Kim, W. (2011). Analysis of an energy efficient building design through data mining approach. Automation in Construction, 20(1), 37-43

Pérez-Lombard, L., Ortiz, J., & Pout, C. (2008). A review on buildings energy consumption information. Energy and buildings, 40(3), 394-398

Oldewurtel, F., Parisio, A., Jones, C. N., Gyalistras, D., Gwerder, M., Stauch, V., ... & Morari, M. (2012). Use of model predictive control and weather forecasts for energy efficient building climate control. Energy and Buildings, 45, 15-27


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