Reinout Heijungs – The Computational Structure of Life Cycle Assessment
Libro adottato a Politecnico di Milano, a.a. 2026/2027 · 6 canali
«Reinout Heijungs – The Computational Structure of Life Cycle Assessment» è adottato per Life Cycle Assessment Of Materials And Processes dal prof. Giovanni Dotelli (Chemical Engineering - Ingegneria Chimica, Food Engineering, Industrial Safety and Risk Engineering e altri corsi – Politecnico di Milano).
Reinout Heijungs – The Computational Structure of Life Cycle AssessmentCerca su Amazon ›
Come lo indica il docente: Reinout Heijungs - Sangwon Suh, The Computational Structure of Life Cycle Assessment, Springer, Anno edizione: 2002, ISBN: 978-94-015-9900-9
Reinout Heijungs – The Computational Structure of Life Cycle Assessmentquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Sustainability assessment: introductory concepts. Fundamentals of Life Cycle Thinking (LCT) and Life Cycle Management (LCM) Life Cycle Assessment (LCA): historical background, ISO standards, procedures, applications, data quality and data sources. Eco-indicators: measurement methods, environmental and damage impact categories, impact quantification; carbon footprint and climate change.
Reinout Heijungs – The Computational Structure of Life Cycle Assessmentquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Sustainability assessment: introductory concepts. Fundamentals of Life Cycle Thinking (LCT) and Life Cycle Management (LCM) Life Cycle Assessment (LCA): historical background, ISO standards, procedures, applications, data quality and data sources. Eco-indicators: measurement methods, environmental and damage impact categories, impact quantification; carbon footprint and climate change.
Reinout Heijungs – The Computational Structure of Life Cycle Assessmentquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Sustainability assessment: introductory concepts. Fundamentals of Life Cycle Thinking (LCT) and Life Cycle Management (LCM) Life Cycle Assessment (LCA): historical background, ISO standards, procedures, applications, data quality and data sources. Eco-indicators: measurement methods, environmental and damage impact categories, impact quantification; carbon footprint and climate change.
Reinout Heijungs – The Computational Structure of Life Cycle Assessmentquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Sustainability assessment: introductory concepts. Fundamentals of Life Cycle Thinking (LCT) and Life Cycle Management (LCM) Life Cycle Assessment (LCA): historical background, ISO standards, procedures, applications, data quality and data sources. Eco-indicators: measurement methods, environmental and damage impact categories, impact quantification; carbon footprint and climate change.
Reinout Heijungs – The Computational Structure of Life Cycle Assessmentquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Sustainability assessment: introductory concepts. Fundamentals of Life Cycle Thinking (LCT) and Life Cycle Management (LCM) Life Cycle Assessment (LCA): historical background, ISO standards, procedures, applications, data quality and data sources. Eco-indicators: measurement methods, environmental and damage impact categories, impact quantification; carbon footprint and climate change.
Reinout Heijungs – The Computational Structure of Life Cycle Assessmentquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Sustainability assessment: introductory concepts. Fundamentals of Life Cycle Thinking (LCT) and Life Cycle Management (LCM) Life Cycle Assessment (LCA): historical background, ISO standards, procedures, applications, data quality and data sources. Eco-indicators: measurement methods, environmental and damage impact categories, impact quantification; carbon footprint and climate change.
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