Building Environment Design - Indoor Environment- Part 2. Computational Design (PWIP-TS)
SCOPE:
This standard lists the variable manners of application of computation, theirroles, significance, expected possibilities, and prospected limitations in thecontext of building environment design.
It includes, but is not limited to, terminology, technical specifications forcomputational design, characterization of various manners of computation.

TC205/WG1「新しいISO/PWI 16813:-2 （建築環境設計−屋内環境−part2:コンピュテーショナルデザイン）の紹介」

Excluded:- Computer Aided Design Technique in Drawings (covered by ISO/TC10/SC8)- Methods of Building Information Modeling itself (covered by ISO/TC59/SC23)- Calculation Methods of Thermal Performance and Energy Use in the Built Environment(covered by ISO/TC163)- Calculation Methods of Indoor Environment themselves (covered by ISO/TC205/WGs)- Digital Twin in general (covered by ISO/IEC JTC 1/SC41)

2024.03.04
東京工業大学藤井晴行

環境・社会理工学院

建築学系
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Building Environment Design - Indoor Environment- Part 2. Computational Design (PWIP-TS)

Resolution 407 (Hybrid 2023-02)@the 29th Plenary Meeting of ISO/TC205 (Sept. 29, 2023)

PURPOSE:This document describes the roles and means of computational designtechniques and clarifies their possibilities and limitations so as to promote aapproach in which the various parties involved in building environment
design collaborate with one another to provide a high-quality building
environment by employing computation such as
generation of design candidates,
simulation of indoor climate provided by the design candidates,
evaluation of the design candidates,building information modeling,
application of artificial intelligence in design,and so on.

Registration of ISO/PWI 16813-2
ISO/TC205 resolves to register a Preliminary Work Item (PWI) ISO/PWI
16813-2, “Building Environment Design - Indoor Environment - Part 2:
Computational design.”
Fujii Haruyuki (Japan) is proposed as project leader.

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Building Environment Design - Indoor Environment- Part 2. Computational Design (PWIP-TS)

Building Environment Design - Indoor Environment- Part 2. Computational Design (PWIP-TS)

CONTEXT and JUSTIFICATION:
A various type of application programs for computational design, including
form generation, simulation, optimization, building information modeling,
and information processing, is becoming popular.
Some techniques, including artificial intelligence, are started to be employed
in design practice, research, and education.
Even though those computation techniques themselves are sophisticated, themanners of their utilization do not necessarily fit the characteristics ofbuilding environment design.
It is recommended to standardize preferable manners of utilization ofcomputational design techniques in the context of building environment
design on the basis of their roles, means, significances, possibilities, andlimitations.

OUTCOME (continued):
The following information will be described from proposals of computational
design techniques and/or introduction of practical applications

ISO/TC205/WG1- Type(s) of practical use- Characteristics of subprocesses in building environment design (*A)
- Types of computation (*B)
- Current Practicality- Preferable Possibilities - synergy of *A and *B- Known or Anticipated Limitations - inconsistent interaction between *A
and *B- etc.

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Building Environment Design - Indoor Environment- Part 2. Computational Design (PWIP-TS)

ISO/TC205/WG1

7Reference: Four Classes of Variables Describing Different Aspect in Designing(Appear in ISO/DIS 16813 originally proposed elsewhere for design computing by Gero 1990)

Function (F) variables
describe the teleology of the object - tangible or intangible, i.e. what it is for.
- Values. Meaning of the object. Rather Qualitative.

OUTCOME:
Provision of sufficient information with which the following computational
design issues would be taken into account in the design process of ISO/DIS16813

Behavior (B) variables
describe the attribute that are derived or expected to be derived from the structure (S)variables of the object, i.e., what it does.
- Mechanism realized by the object. Quantitative and Qualitative.

Simulation- Analysis
Suggestion or Generation of Design Candidates - Synthesis
Optimization - Seamless Linkage of Synthesis, Analysis, and Evaluation
Utilization of Artificial Intelligence in Building Environment Design
Building Information Modeling
Digital Twin, etc.

Structure (S) variables
describe the components of the object and their relationships, i.e. what it is.
- Building, Building Equipments, Operation Methods, etc.
Experience (E) variables (not in the FBS)
describe what the users interact with the object, i.e. how it is utilized.

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8Reference: The FBS Framework and ISO/DIS16813

ISO/TC205/WG19ISO/TC205/WG110Reference: The FBS Framework and ISO/DIS16813 (extended)