Integrated modeling of feeding and breeding strategies to reduce greenhouse gas emissions along the production chain of milk

C.E. van Middelaar; P.B.M. Berentsen; J. Dijkstra; I.J.M. de Boer

Integrated modeling of feeding and breeding strategies to reduce greenhouse gas emissions along the production chain of milk

C.E. van Middelaar, P.B.M. Berentsen, J. Dijkstra, I.J.M. de Boer

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

Abstract

Life cycle assessments require many input parameters and many of these parameters are uncertain; therefore, a sensitivity analysis is an essential part of the final interpretation. The aim of this study is to compare seven sensitivity methods applied to three types of case stud-ies. Two (hypothetical) case studies describing electricity production: one shows linear and another shows non-linear behavior. The third case study describes a large (existing) case study of seafood production containing high input uncertainties. The methods are compared based on their results, i.e. variance decomposition and ranking of the input parameters. Results show that Sobol’ sensitivity indices per-form the best for all three case studies. The Sobol’ method can be a useful method in case of non-linear LCA models or LCA models that include outliers.

Original language	English
Title of host publication	Proceedings of the Life Cycle Assessment Food Conference (LCA Food 2014)
Pages	1445-1454
Publication status	Published - 2014
Event	9th LCA Food 2014), San Francisco, USA - Duration: 8 Oct 2014 → 10 Oct 2014

Conference

Conference	9th LCA Food 2014), San Francisco, USA
Period	8/10/14 → 10/10/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://edepot.wur.nl/331303

Cite this

@inproceedings{5ff35e24569a45dbba76b2a8b7c48580,

title = "Integrated modeling of feeding and breeding strategies to reduce greenhouse gas emissions along the production chain of milk",

abstract = "Life cycle assessments require many input parameters and many of these parameters are uncertain; therefore, a sensitivity analysis is an essential part of the final interpretation. The aim of this study is to compare seven sensitivity methods applied to three types of case stud-ies. Two (hypothetical) case studies describing electricity production: one shows linear and another shows non-linear behavior. The third case study describes a large (existing) case study of seafood production containing high input uncertainties. The methods are compared based on their results, i.e. variance decomposition and ranking of the input parameters. Results show that Sobol{\textquoteright} sensitivity indices per-form the best for all three case studies. The Sobol{\textquoteright} method can be a useful method in case of non-linear LCA models or LCA models that include outliers.",

author = "{van Middelaar}, C.E. and P.B.M. Berentsen and J. Dijkstra and {de Boer}, I.J.M.",

year = "2014",

language = "English",

isbn = "9780988214576",

pages = "1445--1454",

booktitle = "Proceedings of the Life Cycle Assessment Food Conference (LCA Food 2014)",

note = "9th LCA Food 2014), San Francisco, USA ; Conference date: 08-10-2014 Through 10-10-2014",

}

Integrated modeling of feeding and breeding strategies to reduce greenhouse gas emissions along the production chain of milk. / van Middelaar, C.E.; Berentsen, P.B.M.; Dijkstra, J. et al.
Proceedings of the Life Cycle Assessment Food Conference (LCA Food 2014). 2014. p. 1445-1454.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

TY - GEN

T1 - Integrated modeling of feeding and breeding strategies to reduce greenhouse gas emissions along the production chain of milk

AU - van Middelaar, C.E.

AU - Berentsen, P.B.M.

AU - Dijkstra, J.

AU - de Boer, I.J.M.

PY - 2014

Y1 - 2014

N2 - Life cycle assessments require many input parameters and many of these parameters are uncertain; therefore, a sensitivity analysis is an essential part of the final interpretation. The aim of this study is to compare seven sensitivity methods applied to three types of case stud-ies. Two (hypothetical) case studies describing electricity production: one shows linear and another shows non-linear behavior. The third case study describes a large (existing) case study of seafood production containing high input uncertainties. The methods are compared based on their results, i.e. variance decomposition and ranking of the input parameters. Results show that Sobol’ sensitivity indices per-form the best for all three case studies. The Sobol’ method can be a useful method in case of non-linear LCA models or LCA models that include outliers.

AB - Life cycle assessments require many input parameters and many of these parameters are uncertain; therefore, a sensitivity analysis is an essential part of the final interpretation. The aim of this study is to compare seven sensitivity methods applied to three types of case stud-ies. Two (hypothetical) case studies describing electricity production: one shows linear and another shows non-linear behavior. The third case study describes a large (existing) case study of seafood production containing high input uncertainties. The methods are compared based on their results, i.e. variance decomposition and ranking of the input parameters. Results show that Sobol’ sensitivity indices per-form the best for all three case studies. The Sobol’ method can be a useful method in case of non-linear LCA models or LCA models that include outliers.

M3 - Conference paper

SN - 9780988214576

SP - 1445

EP - 1454

BT - Proceedings of the Life Cycle Assessment Food Conference (LCA Food 2014)

T2 - 9th LCA Food 2014), San Francisco, USA

Y2 - 8 October 2014 through 10 October 2014

ER -

Integrated modeling of feeding and breeding strategies to reduce greenhouse gas emissions along the production chain of milk

Abstract

Conference

UN SDGs

Access to Document

Fingerprint

Cite this