Synthetic building stocks as a way to assess the energy demand and greenhouse gas emissions of national building stocks

• Published in: Energy and buildings Vol. 173; pp. 443 - 460
• Main Authors: Nägeli, Claudio, Camarasa, Clara, Jakob, Martin, Catenazzi, Giacomo, Ostermeyer, York
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 15.08.2018; Elsevier BV
• Subjects: Alternative energy; Bottom-up model; Building archetypes; Building energy modeling; Building stock modeling; Buildings; Commercial buildings; Construction; Data sources; Demand; Emissions; Emissions control; Energy demand; Energy modeling; Fossil fuels; GHG emissions; Greenhouse effect; Greenhouse gases; Methodology; Modelling; Refurbishment; Renewable energy; Representations; Research methodology; Residential buildings; Residential energy; Segments; Synthetic building stock; Synthetic population; Building archetypes; Building stock modeling; Bottom-up model; Building energy modeling; GHG emissions; Synthetic population; Synthetic building stock

In Europe, the final energy demand and greenhouse gas (GHG) emissions of residential and commercial building stocks account for approximately 40% of energy and emissions. A building stock model (BSM) is a method of assessing the energy demand and GHG emissions of building stocks and developing pathw...