cooling.df: Does insulation make a difference?

In jmcurran/jaggR: Supporting Files and Functions for the Book Bayesian Modelling with 'JAGS'

Does insulation make a difference?

Description

This data arose from an experiment conducted by David to testing the insulation of the ground floor bedroom of his house–The Spinney. The idea was that the better the insulation the slower the rate cooling, so for some exponential model y(t) = y(0) exp(-lambda t) - the value of lambda should go down for a better insulated room In the experiment, David ran two extension cords into the room through a service port to power two electric heaters and a fan. He then sealed up the room by shutting windows and door. The heaters were left to heat up the room as much as they could. This happened to be about 24.6 C. He then turned the heaters and fan off and the recorded the rate of cooling by observing a temperture probe from outside the room for about two hours. Standard theory says that the rate of cooling is proportional to the temperature differential between the indoor and outdoor temperatures. To control for this days were selected which had approximately the same external temperatures. The room has walls which are external and internal. It was assumed that the outside and internal house (no heating) had reached an equilibrium so that we only need to know the outside room, but inside house temperature rather than both

Usage

cooling.df

Format

A data.frame with 47 rows and 3 columns:

time

The time since turning off the heaters and fan

uninsulated

The recorded temperature with absolutely no insulation in the room whatsoever—outside temperature 8.0 C.

insulated

The recorded temperature with part of a wall and the floor insulated— outside temperature 8.1 C

Source

David Lucy

jmcurran/jaggR documentation built on Nov. 2, 2023, 11:04 a.m.