Life Cycle Costing
Description
This volume offers several case studies detailing Life Cycle Assessment practices across a variety of industries. Particular focus is placed on materials used in renewable energy efforts and in buildings and construction. This volume can be of use to academics, students, professionals, and anyone else interested in making industry more sustainable.
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Person
Dr. Subramanian Senthilkannan Muthu is currently the Chief Sustainability Officer at Green Story Inc, Canada, based out of Hong Kong. He earned his PhD from The Hong Kong Polytechnic University, and is a renowned expert in the areas of Environmental Sustainability in Textiles & Clothing Supply Chain, Product Life Cycle Assessment (LCA) and Product Carbon Footprint Assessment (PCF) in various industrial sectors. He has five years of industrial experience in textile manufacturing, research and development and textile testing and over a decade's of experience in life cycle assessment (LCA), carbon and ecological footprints assessment of various consumer products. He has published more than 100 research publications, written numerous book chapters and authored/edited over 170 books in the areas of Carbon Footprint, Recycling, Environmental Assessment, Life Cycle Assessment and Environmental Sustainability.
Content
Chapter 1: Life Cycle Costing - Case Studies.- Chapter 2: A systematic review of Life Cycle Cost Assessment into Circular Economy toward Building Construction: Current Challenges.- Chapter 3: Life Cycle Costing of Building Integrated Passive Solar Energy Technologies.- Chapter 4: Life Cycle Assessment of Phase Change Materials Used in Energy Technologies Integrated with Building.- Chapter 5: Life Cycle Evaluation of Smart Solar Windows Used in Buildings.- Chapter 6: Towards Cost-Effective Housing in South Africa : Life Cycle Cost Analysis of Reusing Slag as Alternative to Conventional Bricks.- Chapter 7: Microbial valorization of sugarcane processing wastes: insights into life cycle assessment and life cycle costing estimations as a key decision-making tool.