Details
| Original language | English |
|---|---|
| Pages (from-to) | 356-368 |
| Number of pages | 13 |
| Journal | Energy and buildings |
| Volume | 82 |
| Early online date | 22 Jul 2014 |
| Publication status | Published - Oct 2014 |
| Externally published | Yes |
Abstract
The existing office building stock is a key target for energy retrofits to substantially reduce adverse impacts on the environment, human health, and the economy. Success of an energy retrofit project is tied with the assessment and selection of energy efficiency measures that can satisfy stakeholders' diverse, and often conflicting requirements. The current study establishes a model-based method to support design teams in making informed multi-criteria decisions for energy-efficiency solutions at the early design stage. The key feature of the hybrid framework is the integration of an analysis procedure carried out by a design team and a numerical procedure of optimization carried out by computer. Such an interaction is necessary as building design and retrofit requires many qualitative aspects that require human judgment. In contrast to previous approaches, this study provides a basis for embedding multi-objective optimization into the decision making on energy retrofit solutions, which considers the important role of stakeholders by carrying out the analysis procedure. An office building in Germany needing an energy retrofit serves as a case study to demonstrate the feasibility of the proposed model.
Keywords
- Decision support, Energy retrofit, Interactive multi-objective optimization, Office buildings, Quality function deployment
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Engineering(all)
- Building and Construction
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Electrical and Electronic Engineering
Sustainable Development Goals
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In: Energy and buildings, Vol. 82, 10.2014, p. 356-368.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Integrating requirement analysis and multi-objective optimization for office building energy retrofit strategies
AU - Shao, Yunming
AU - Geyer, Philipp Florian
AU - Lang, Werner
N1 - Funding Information: This research was supported by the China Scholarship Council funded by the State Scholarship Fund of the Education Ministry of the People's Republic of China (Scholarship No. 201206210033).
PY - 2014/10
Y1 - 2014/10
N2 - The existing office building stock is a key target for energy retrofits to substantially reduce adverse impacts on the environment, human health, and the economy. Success of an energy retrofit project is tied with the assessment and selection of energy efficiency measures that can satisfy stakeholders' diverse, and often conflicting requirements. The current study establishes a model-based method to support design teams in making informed multi-criteria decisions for energy-efficiency solutions at the early design stage. The key feature of the hybrid framework is the integration of an analysis procedure carried out by a design team and a numerical procedure of optimization carried out by computer. Such an interaction is necessary as building design and retrofit requires many qualitative aspects that require human judgment. In contrast to previous approaches, this study provides a basis for embedding multi-objective optimization into the decision making on energy retrofit solutions, which considers the important role of stakeholders by carrying out the analysis procedure. An office building in Germany needing an energy retrofit serves as a case study to demonstrate the feasibility of the proposed model.
AB - The existing office building stock is a key target for energy retrofits to substantially reduce adverse impacts on the environment, human health, and the economy. Success of an energy retrofit project is tied with the assessment and selection of energy efficiency measures that can satisfy stakeholders' diverse, and often conflicting requirements. The current study establishes a model-based method to support design teams in making informed multi-criteria decisions for energy-efficiency solutions at the early design stage. The key feature of the hybrid framework is the integration of an analysis procedure carried out by a design team and a numerical procedure of optimization carried out by computer. Such an interaction is necessary as building design and retrofit requires many qualitative aspects that require human judgment. In contrast to previous approaches, this study provides a basis for embedding multi-objective optimization into the decision making on energy retrofit solutions, which considers the important role of stakeholders by carrying out the analysis procedure. An office building in Germany needing an energy retrofit serves as a case study to demonstrate the feasibility of the proposed model.
KW - Decision support
KW - Energy retrofit
KW - Interactive multi-objective optimization
KW - Office buildings
KW - Quality function deployment
UR - http://www.scopus.com/inward/record.url?scp=84905670163&partnerID=8YFLogxK
U2 - 10.1016/j.enbuild.2014.07.030
DO - 10.1016/j.enbuild.2014.07.030
M3 - Article
AN - SCOPUS:84905670163
VL - 82
SP - 356
EP - 368
JO - Energy and buildings
JF - Energy and buildings
SN - 0378-7788
ER -