Solarized Energy-Plus Home in Texas#

A constrained house-design task about creating a solarized energy-plus home in Texas within a fixed budget.

See Text Problem Catalog for the text family index.

Quick Facts#

Field

Value

Problem ID

ideation_solarized_energy_plus_home_texas

Problem Family

text

Implementation

TextProblem

Capabilities

citation-backed, prompt-packet, statement-markdown

Study Suitability

human-subjects-ready, ideation-friendly

Tags

text, human-subjects, ideation, housing, energy, architecture

Taxonomy#

Formulation

textual_prompt

Is Dynamic

no

Orientation

engineering_practical

Objective Mode

qualitative

Constraint Nature

embedded-constraints

Tags

text, human-subjects, ideation, housing, energy, architecture

Deliverable Type

concepts

Timebox Hint (Minutes)

60

Participants

individual

Evaluation Mode

idea_generation

Statement#

Design a solarized energy-plus home in Texas with a budget of $200,000.

Objective:

  • Maximize the annual net energy (ANE) given the budget.

Requirements and constraints:

  • One story

  • More than 4 windows

  • Window area greater than 1.44 m2

  • At least 1 door

  • Door size greater than 1.2 m x 2 m

  • Wall height greater than 2.5 m

  • Distance between ridge and panel greater than 0

Prompt Profile#

Field

Value

Deliverable Type

concepts

Timebox Hint (Minutes)

60

Participants

individual

Evaluation Mode

idea_generation

Sources#

Key

Summary

rahman_xie_sha_2019

Rahman, Xie, and Sha (2019). A Deep Learning Based Approach to Predict Sequential Design Decisions. ASME IDETC/CIE 2019, DETC2019-97625.

Raw Citation Records#

Rahman, Molla Hafizur, Charles Xie, and Zhenghui Sha (2019). A Deep Learning Based Approach to Predict Sequential Design Decisions. ASME IDETC/CIE 2019, DETC2019-97625.