在許多先進國家，建築耗能約佔整體耗能之20-40%，逐漸逼近工業及交通耗能。既有舊建築的市場逐年增加，約佔整體建築量的95-97％。在全球暖化的危機下，如何透過新技術、新材料、新設備之導入與應用，以提升既有舊建築的「綠建築潛力」，將成為全球建築產業朝向永續發展的重點。
　　本研究以一實際辦公建築個案為例，透過現況診斷與能源模擬，評估未來建築節能改善方案的效益，提供包含針對空調系統、電力系統、電梯系統、室內空氣品質等策略建議。研究中並針對各種不同方案的節能效益進行經濟性評估。研究結果顯示，整體回收年限約5.75年，具有高度投資誘因。未來可開發成一套系統化的綠建築改善之決策支援工具，可根據不同地區氣候條件、法令資料與整建技術，進行自我診斷與改善策略優化之建議。

The volume of existing buildings is much more than new buildings in developed countries. Applying new technology, new material and new equipment to renovate and make the existing buildings greener is crucial for sustainable development. An approach including current energy statistics survey, expert diagnosis, energy and economic simulation using eQUEST model is carried out in this research for an existing office building in Taipei City. A sustainable renovation scheme with a payback period of 5.75 years is proposed in this research. Lessons learned from this research can be further developed into a decision support system to assist existing office building diagnosis and sustainable renovation in a subtropical area.

1.Brounen, D., Kok, N. and Quigley, J.M. (2012). Residential energy use and conservation: Economics and demographics. European Economic Review, 56(5): 931-945.

2.Bureau of Energy, Ministry of Economic Affairs. (2015). Energy audit annual report for non-productive industries (Chinese Version).

3.Caccavelli, D. and Gugerli, H. TOBUS — a European diagnosis and decision-making tool for office building upgrading. Energy and Buildings, 34(2): 113-119.

4.Çakmanu, I. (2007). Renovation of existing office buildings in regard to energy economy: An example from Ankara, Turkey. Building and Environment, 42(3): 1348-1357.

5.Cole, R.J. and Kernan, P.C. (1996). Life-cycle energy use in office buildings. Building and Environment, 31(4): 307-317.

6.Egbu, C.O.(1997). Refurbishment management: challenges and opportunities. Building Research and Information, 25 (6): 338–347.

7.Hartkopf, V. and Loftness, V. (1999). Global relevance of total building performance. Automation in Construction, 8 (4): 377–393.

8.Highfield, D. and Gorse, C. (2009) Refurbishment and upgrading of buildings; Taylor & Francis, London, United Kingdom.

9.Hsu, Y.H. and Juan, Y.K. (2016). ANN-based decision model for the reuse of vacant buildings in urban areas. International Journal of Strategic Property Management, 20(1): 31-43.

10.Juan Y.K., Peng G. and Wang J. (2010). A hybrid decision support system for sustainable office building renovation and energy performance improvement. Energy and Buildings, 42(3): 290-297.

11.Mahlia, T.M.I., Said, M.F.M., Masjuki, H.H. and Tamjis M.R. (2005). Cost-benefit analysis and emission reduction of lighting retrofits in residential sector. Energy and Buildings, 37(6): 573-578.

12.Norford, L.K., Socolow, R.H., Hsieh, E.S. and Spadaro, G.V. (1994). Two-to-one discrepancy between measured and predicted performance of a ‘low-energy’ office building: insights from a reconciliation based on the DOE-2 model. Energy and Buildings, 21 (2): 121-131.

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

14.Rey, E. (2004). Office building retrofitting strategies: multicriteria approach of an architectural and technical issue. Energy and Buildings, 36(4): 367-372.

15.Shimoda, Y., Fujii, T., Morikawa, T. and Mizuno, M. (2004). Residential end-use energy simulation at city scale. Building and Environment, 39(8): 959-967.

16.Song, J., Zhang, X. and Meng, X. (2015). Simulation and analysis of a university library energy consumption based on eQUEST. Procedia Engineering, 121: 1382-1388.

17.Swan, L.G. and Ugursal, V.I. (2009). Modeling of end-use energy consumption in the residential sector: A review of modeling techniques. Renewable and Sustainable Energy Reviews, 13(8): 1819-1835.

18.Yohanis, Y.G. and Norton, B. (2002). Life-cycle operational and embodied energy for a generic single-storey office building in the UK. Energy, 27(1): 77-92.