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논문 기본 정보

자료유형
학술저널
저자정보
Choi, Jun-Woo (EAN Technology) Kim, Gyoung-Rok (EAN Technology) Ko Jung-Lim (EAN Technology) Shin, Jee-Woong (EAN Technology) Lee, Keon-Ho (Korea Institute of Construction Technology)
저널정보
한국생태환경건축학회 KIEAE Journal KIEAE Journal Vol.16 No.3(Wn.79)
발행연도
2016.6
수록면
5 - 12 (8page)

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Purpose: In case of existing building, A lot of attempts are being made like changing thermal system or using high efficiency products to decrease energy load and increase energy efficiency. However, (1) Absence of systemed database of green-remodeling technology and products. (2) Absence of comparative analysis system and qualitative/quantitative evaluation method of energy performance and energy reduction cost. (3) Existing remodeling was very hard to access for non-experts. So, in this paper, the authors developed data base for green-remodeling(Impact Table A, Impact Table B) and optimum combination dedication tool for user convenience. Accordingly, purpose of this paper validate usefulness of Impact Table and optimum alternative dedication tool. Method: For validate the usefulness of Impact Table and optimum combination dedication tool, the authors selected five test model office buildings. Next, through research investigation, the authors diagnosed the present state of buildings. In base of diagnosis results, select technologies for remodeling by qualitative comparison (Impact Table A). Next, evaluate quantitative price and performance technologies that selected in Impact Table A (Impact Table B). Lastly, through final evaluation of Impact Taba A and Impact Table B, determine the direction of the green-remodeling. Result: Impact Table and optimum combination dedication tool can use relative indicator for green-remodeling, especially through ROI by detail field.

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ABSTRACT
1. Introduction1
2. Outline and Composition of Impact Table
3. Checklist of Preliminary Research and Optimum Combination Dedication Module
4. Test Model and Preparing Preliminary Research Checklist
5. Application of Impact Table - Optimum Combination Module
6. Conclusion and Implication
Reference

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