Combined Life Cycle Assessment and Costing Analysis Optimization Model Using Multiple Criteria Decision Making in Earth-Resource Systems - Natural Resources

NR > Vol.5 No.8, June 2014

Volume 5, Issue 8 (June 2014)

ISSN Print: 2158-706X ISSN Online: 2158-7086

Google-based Impact Factor: 0.89 Citations h5-index & Ranking

Combined Life Cycle Assessment and Costing Analysis Optimization Model Using Multiple Criteria Decision Making in Earth-Resource Systems ()

HTML XML

Download as PDF (Size: 512KB) PP. 351-358

DOI: 10.4236/nr.2014.58033 3,287 Downloads 4,803 Views Citations

Author(s)

Antonio Nieto, Yu Bai, Jeffrey Brownson

Affiliation(s)

Department of Energy and Mineral Engineering, Penn State University, University Park, USA.

ABSTRACT

Life Cycle Assessment (LCA) is a comprehensive method to evaluate all attributes or aspects of potential environmental impact throughout a product’s lifecycle. Financial impacts are often added to the systemic evaluation process to reflect both environmental and economic assessment. For the specific application of LCA informing design of new technologies, when numerous variables are undecided or under defined, the process of forming an inventory of complete dataset is very difficult. Accumulating the early data consumes time, and limits application of LCA to new technologies and projects. As such, LCA may not normally be associated with forecasting or guiding a design/production process with an incomplete data set. Here, a life cycle assessment optimization model (LCAO) is described for incomplete data sets, based on the life cycle inventory (LCI) hybrid method and a modified multiple criteria decision making (MCDM) approach. The approach requires data, but can proceed in the given an incomplete or uncertain data set. The model of the algorithm also shows promising results to reveal previously unknown key variables within the dataset, which can then facilitate the minimization of environmental impact while maximizing economic benefits in product design.

KEYWORDS

Life Cycle Assessment, Optimization, Multiple Criteria Design

Share and Cite:

Nieto, A. , Bai, Y. and Brownson, J. (2014) Combined Life Cycle Assessment and Costing Analysis Optimization Model Using Multiple Criteria Decision Making in Earth-Resource Systems. Natural Resources, 5, 351-358. doi: 10.4236/nr.2014.58033.

Cited by

[1]	Climate impact of bioH2 production from biogas using CO2 mineralization for carbon capture and storage
	2022

[2]	A Cone-Dominance Approach for Discrete Alternative Multiple Criteria Problems with Indifference Regions
	Open Access Library Journal, 2021

[3]	Predictive modeling and comparative evaluation of geostatistical models for geochemical exploration through stream sediments
	2020

[4]	Quantification of environmental impacts of domestic wastewater treatment using life cycle assessment: A review
	Journal of Cleaner Production, 2018

[5]	Modelo de optimización estocástica para explotaciones mineras a cielo abierto
	2017

[6]	A FEASIBILITY STUDY IN REDOX FLOW BATTERY ADOPTION TO AUGMENT
	2014

[7]	A Feasibility Study in Redox Flow Battery Adoption to Augment Sustainable Electricity Grid Expansion in Developing Countries
	2014

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journals Menu

Home

About SCIRP

Service

Policies