Modeling mushroom substrate temperature during aerated phase I substrate preparation

P. H. Heinemann, S. E. Labance, S. Walker, D. M. Beyer

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A model was developed to predict mushroom substrate temperature during the phase I preparation process. Many mushroom production operations are beginning to use aeration to reduce odors and to reduce the time required to prepare the substrate. However, optimal aeration schemes have not been developed, and many operations use trial-and-error approaches or just set the aeration at a certain cycle. This experiment had two objectives: to develop a simulation model that predicts mushroom substrate temperatures under various aeration conditions, and to observe the effects of various aeration schemes on the substrate temperature. Aeration serves two purposes: to provide oxygen to microorganisms, and to remove heat from the substrate, allowing for better environmental control. The model, developed using the Stella simulation modeling package, is based on energy gains and losses and predicts substrate temperatures to determine optimal processing conditions. Model validation runs show good agreement between predicted and observed substrate temperature values when the model is adjusted to account for lags in the beginning of substrate heating. Overall root mean square error between predicted and observed substrate temperature was 8.1°C, the correlation between predicted and observed substrate temperature yielded an r2 value of 0.89, and the slope and intercept of the predicted vs. observed temperature linear regression curve are 0.975 and 3.10°C, respectively.

Original languageEnglish (US)
Pages (from-to)1301-1311
Number of pages11
JournalTransactions of the American Society of Agricultural Engineers
Volume47
Issue number4
StatePublished - Jul 1 2004

Fingerprint

Agaricales
mushroom
mushrooms
aeration
substrate
Temperature
Substrates
modeling
temperature
Stella
heat
mushroom growing
model validation
Heating
Odors
Linear Models
simulation models
Linear regression
Hot Temperature
Mean square error

All Science Journal Classification (ASJC) codes

  • Agricultural and Biological Sciences (miscellaneous)

Cite this

@article{979150d751d14b43818380ee1cf9422e,
title = "Modeling mushroom substrate temperature during aerated phase I substrate preparation",
abstract = "A model was developed to predict mushroom substrate temperature during the phase I preparation process. Many mushroom production operations are beginning to use aeration to reduce odors and to reduce the time required to prepare the substrate. However, optimal aeration schemes have not been developed, and many operations use trial-and-error approaches or just set the aeration at a certain cycle. This experiment had two objectives: to develop a simulation model that predicts mushroom substrate temperatures under various aeration conditions, and to observe the effects of various aeration schemes on the substrate temperature. Aeration serves two purposes: to provide oxygen to microorganisms, and to remove heat from the substrate, allowing for better environmental control. The model, developed using the Stella simulation modeling package, is based on energy gains and losses and predicts substrate temperatures to determine optimal processing conditions. Model validation runs show good agreement between predicted and observed substrate temperature values when the model is adjusted to account for lags in the beginning of substrate heating. Overall root mean square error between predicted and observed substrate temperature was 8.1°C, the correlation between predicted and observed substrate temperature yielded an r2 value of 0.89, and the slope and intercept of the predicted vs. observed temperature linear regression curve are 0.975 and 3.10°C, respectively.",
author = "Heinemann, {P. H.} and Labance, {S. E.} and S. Walker and Beyer, {D. M.}",
year = "2004",
month = "7",
day = "1",
language = "English (US)",
volume = "47",
pages = "1301--1311",
journal = "Transactions of the ASABE",
issn = "2151-0032",
publisher = "American Society of Agricultural and Biological Engineers",
number = "4",

}

Modeling mushroom substrate temperature during aerated phase I substrate preparation. / Heinemann, P. H.; Labance, S. E.; Walker, S.; Beyer, D. M.

In: Transactions of the American Society of Agricultural Engineers, Vol. 47, No. 4, 01.07.2004, p. 1301-1311.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Modeling mushroom substrate temperature during aerated phase I substrate preparation

AU - Heinemann, P. H.

AU - Labance, S. E.

AU - Walker, S.

AU - Beyer, D. M.

PY - 2004/7/1

Y1 - 2004/7/1

N2 - A model was developed to predict mushroom substrate temperature during the phase I preparation process. Many mushroom production operations are beginning to use aeration to reduce odors and to reduce the time required to prepare the substrate. However, optimal aeration schemes have not been developed, and many operations use trial-and-error approaches or just set the aeration at a certain cycle. This experiment had two objectives: to develop a simulation model that predicts mushroom substrate temperatures under various aeration conditions, and to observe the effects of various aeration schemes on the substrate temperature. Aeration serves two purposes: to provide oxygen to microorganisms, and to remove heat from the substrate, allowing for better environmental control. The model, developed using the Stella simulation modeling package, is based on energy gains and losses and predicts substrate temperatures to determine optimal processing conditions. Model validation runs show good agreement between predicted and observed substrate temperature values when the model is adjusted to account for lags in the beginning of substrate heating. Overall root mean square error between predicted and observed substrate temperature was 8.1°C, the correlation between predicted and observed substrate temperature yielded an r2 value of 0.89, and the slope and intercept of the predicted vs. observed temperature linear regression curve are 0.975 and 3.10°C, respectively.

AB - A model was developed to predict mushroom substrate temperature during the phase I preparation process. Many mushroom production operations are beginning to use aeration to reduce odors and to reduce the time required to prepare the substrate. However, optimal aeration schemes have not been developed, and many operations use trial-and-error approaches or just set the aeration at a certain cycle. This experiment had two objectives: to develop a simulation model that predicts mushroom substrate temperatures under various aeration conditions, and to observe the effects of various aeration schemes on the substrate temperature. Aeration serves two purposes: to provide oxygen to microorganisms, and to remove heat from the substrate, allowing for better environmental control. The model, developed using the Stella simulation modeling package, is based on energy gains and losses and predicts substrate temperatures to determine optimal processing conditions. Model validation runs show good agreement between predicted and observed substrate temperature values when the model is adjusted to account for lags in the beginning of substrate heating. Overall root mean square error between predicted and observed substrate temperature was 8.1°C, the correlation between predicted and observed substrate temperature yielded an r2 value of 0.89, and the slope and intercept of the predicted vs. observed temperature linear regression curve are 0.975 and 3.10°C, respectively.

UR - http://www.scopus.com/inward/record.url?scp=6344264006&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=6344264006&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:6344264006

VL - 47

SP - 1301

EP - 1311

JO - Transactions of the ASABE

JF - Transactions of the ASABE

SN - 2151-0032

IS - 4

ER -