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Research Papers: Integrated Sustainable Equipment and Systems for Buildings

Design Optimization of Energy Efficient Office Buildings in Tunisia

[+] Author and Article Information
Pyeongchan Ihm

Associate Professor
Department of Architectural Engineering,
Dong-A University,
Busan, South Korea

Moncef Krarti

Civil, Environmental,
and Architectural Engineering Department,
University of Colorado,
Boulder, CO 80309-0428

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING. Manuscript received January 28, 2013; final manuscript received August 1, 2013; published online October 17, 2013. Assoc. Editor: Jorge E. Gonzalez.

J. Sol. Energy Eng 135(4), 040908 (Oct 17, 2013) (10 pages) Paper No: SOL-13-1031; doi: 10.1115/1.4025588 History: Received January 28, 2013; Revised August 01, 2013

Optimal and cost-effective energy efficiency design and operation options are evaluated for office buildings in Tunisia. In the analysis, several design and operation features are considered including orientation, window location and size, high performance glazing types, wall and roof insulation levels, energy efficient lighting systems, daylighting controls, temperature settings, and energy efficient heating and cooling systems. First, the results of the optimization results from a sequential search technique are compared against those obtained by a more time consuming brute-force optimization approach. Then, the optimal design features for a prototypical office building are determined for selected locations in Tunisia. The optimization results indicate that utilizing daylighting controls, energy efficient lighting fixtures, and low-e double glazing, and roof insulation are required energy efficiency measures to design high energy performance office buildings throughout climatic zones in Tunisia. In particular, it is found that implementing these measures can cost-effectively reduce the annual energy use by 50% compared to the current design practices of office buildings in Tunisia.

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Figures

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Fig. 1

Flowchart for the simulation environment used for the optimization analysis

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Fig. 2

Isometric view of a prototypical office building in Tunisia

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Fig. 3

Climate zones and selected cities in Tunisia

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Fig. 4

Maximum source energy use savings for each EEM applied to an office building located in Tunis

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Fig. 5

Optimization results of energy use saving percent and normalized cost against reference building for incremental EEM sets in Tunis

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Fig. 6

Maximum energy savings as a function of the number of energy efficiency measures for the office building in Tunis

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Fig. 7

Life cycle cost as a function of energy saving on the influence of climate zone for the office building for four Tunisia sites

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Fig. 8

Source energy end-use for baseline, optimal LCC, PV start, and maximum energy savings for office building located in four Tunisia sites

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Fig. 9

The impact of PV cost on life cycle cost as a function of percent source energy savings for a prototypical office building in Tunis

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Fig. 10

The impact of discount rate on percent source energy use savings and life cycle costs obtained for the optimal office building design for Tunis

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