Variance-based global sensitivity analysis and beyond in life cycle assessment: an application to geothermal heating networks

[11] Wagener T(2017)Methods for global sensitivity analysis in life cycle assessment Int J Life Cycle Assess 22 1125-129

[12] Cucurachi S(2007)A new analytic method for finding policy-relevant scenarios Glob Environ Change 17 73-18

[13] Borgonovo E(2015)An open source framework for many-objective robust decision making Environ Model Softw 74 114-266

[14] Heijungs R(1981)Approach to the preliminary analysis of environmental systems J Env Mgmt 12 7-250

[15] Dalal S(1998)Application of uncertainty and variability in LCA Int J Life Cycle Assess 3 273-321

[16] Han B(2018)Tree-based ensemble methods for sensitivity analysis of environmental models: a performance comparison with Sobol and Morris techniques Environ Model Softw 107 245-280

[17] Lempert R(2017)The Exploratory Modeling Workbench: an open source toolkit for exploratory modeling, scenario discovery, and (multi-objective) robust decision making Environ Model Softw 96 239-336

[18] Jaycocks A(2016)Improving scenario discovery for handling heterogeneous uncertainties and multinomial classified outcomes Environ Model Softw 79 311-1211

[19] Hackbarth A(2017)LCA of emerging technologies: addressing high uncertainty on inputs’ variability when performing global sensitivity analysis Sci Total Environ 578 268-899

[20] Dorning MA(2005)Relative entropy based method for probabilistic sensitivity analysis in engineering design J Mech Des 128 326-287

[11] Wagener T(2017)Methods for global sensitivity analysis in life cycle assessment Int J Life Cycle Assess 22 1125-129

[12] Cucurachi S(2007)A new analytic method for finding policy-relevant scenarios Glob Environ Change 17 73-18

[13] Borgonovo E(2015)An open source framework for many-objective robust decision making Environ Model Softw 74 114-266

[14] Heijungs R(1981)Approach to the preliminary analysis of environmental systems J Env Mgmt 12 7-250

[15] Dalal S(1998)Application of uncertainty and variability in LCA Int J Life Cycle Assess 3 273-321

[16] Han B(2018)Tree-based ensemble methods for sensitivity analysis of environmental models: a performance comparison with Sobol and Morris techniques Environ Model Softw 107 245-280

[17] Lempert R(2017)The Exploratory Modeling Workbench: an open source toolkit for exploratory modeling, scenario discovery, and (multi-objective) robust decision making Environ Model Softw 96 239-336

[18] Jaycocks A(2016)Improving scenario discovery for handling heterogeneous uncertainties and multinomial classified outcomes Environ Model Softw 79 311-1211

[19] Hackbarth A(2017)LCA of emerging technologies: addressing high uncertainty on inputs’ variability when performing global sensitivity analysis Sci Total Environ 578 268-899

[20] Dorning MA(2005)Relative entropy based method for probabilistic sensitivity analysis in engineering design J Mech Des 128 326-287