Unleashing the diversity of conceptual building renovation design: Integrating high-fidelity simulation with rapid constraint-based scenario generation

TY - GEN

T1 - Unleashing the diversity of conceptual building renovation design: Integrating high-fidelity simulation with rapid constraint-based scenario generation

AU - Kamari, Aliakbar

AU - Schultz, Carl Peter Leslie

AU - Kirkegaard, Poul Henning

N1 - Conference code: 10

PY - 2019

Y1 - 2019

N2 - Designing a renovation plan for a building is a highly complex task: during this planning process, the design team needs to explore an enormous “design space” of possible renovation actions, and on the other hand, must evaluate the efficacy of each candidate design using computationally expensive simulations. Moreover, the design team seeks to balance a range of competing key performance indicators (KPI) as demanded by clients and the real conditions of the existing buildings, which are unique for every project (e.g. energy consumption, daylight, and thermal comfort). We present an innovative renovation decision support framework that provides the design team with broad coverage of the design space in conjunction with limited, careful use of precise simulations for KPI evaluation. Our approach integrates logic-based domain model querying and multi-objective optimization based on Answer Set Programming and the KPI simulation system. We empirically evaluate our system in a large residential building case study in Denmark.

AB - Designing a renovation plan for a building is a highly complex task: during this planning process, the design team needs to explore an enormous “design space” of possible renovation actions, and on the other hand, must evaluate the efficacy of each candidate design using computationally expensive simulations. Moreover, the design team seeks to balance a range of competing key performance indicators (KPI) as demanded by clients and the real conditions of the existing buildings, which are unique for every project (e.g. energy consumption, daylight, and thermal comfort). We present an innovative renovation decision support framework that provides the design team with broad coverage of the design space in conjunction with limited, careful use of precise simulations for KPI evaluation. Our approach integrates logic-based domain model querying and multi-objective optimization based on Answer Set Programming and the KPI simulation system. We empirically evaluate our system in a large residential building case study in Denmark.

KW - Answer set programming

KW - Building renovation

KW - Holistic renovation scenarios

KW - Rapid scenario generation

KW - Renovation typologies

UR - http://www.scopus.com/inward/record.url?scp=85071837440&partnerID=8YFLogxK

M3 - Article in proceedings

VL - 51

SP - 29

EP - 36

BT - SimAUD 2019. 2019 Proceedings of the Symposium on Simulation for Architecture & Urban Design

A2 - Rockcastle, Siobhan

A2 - Rakha, Tarek

A2 - Cerezo Davila, Carlos

A2 - Papanikolaou, Dimitris

A2 - Zakula, Tea

PB - The Society for Modeling and Simulation International (SCS)

CY - San Diego

T2 - Symposium on Simulation for Architecture & Urban Design (SimAUD 2019)

Y2 - 7 April 2019 through 9 April 2019

ER -