Overview of the EULF Energy Pilot UC4: • Goal: To support policy makers to design and implement Energy Efficiency driven renovation plans of building stock at urban level. • Description: Use of existing models, from bottom-up to top-down approach, for the estimation of energy needs at urban level, based on real energy consumption data of a sample of buildings: • for building stock renovation planning and prioritization of interventions, e.g. by class of buildings and/or geographical area of interventions (e.g. in areas having energy distribution networks or in historical centres); • to enable Public Authorities (e.g. Municipalities) to assess the energy saving potential related to the building stock and to local conditions (e.g. climate); • to allow reuse of scaling- up models (from building to urban level) in different climatic conditions and with different characteristics of the building stock.
Location data enabling urban sustainable energy planning / Kona, Albana; Martirano, Giacomo; Mutani, Guglielmina. - ELETTRONICO. - (2016).
Location data enabling urban sustainable energy planning
Albana Kona;Guglielmina Mutani
2016
Abstract
Overview of the EULF Energy Pilot UC4: • Goal: To support policy makers to design and implement Energy Efficiency driven renovation plans of building stock at urban level. • Description: Use of existing models, from bottom-up to top-down approach, for the estimation of energy needs at urban level, based on real energy consumption data of a sample of buildings: • for building stock renovation planning and prioritization of interventions, e.g. by class of buildings and/or geographical area of interventions (e.g. in areas having energy distribution networks or in historical centres); • to enable Public Authorities (e.g. Municipalities) to assess the energy saving potential related to the building stock and to local conditions (e.g. climate); • to allow reuse of scaling- up models (from building to urban level) in different climatic conditions and with different characteristics of the building stock.File | Dimensione | Formato | |
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30 FRIDAY_PSESSIONS_A_11.00-12.30______Location data enabling urban sustainable energy planning.pdf
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https://hdl.handle.net/11583/2693305
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