| Title | CESAR: A bottom-up building stock modelling tool for Switzerland to address sustainable energy transformation strategies |
|---|---|
| ID_Doc | 76311 |
| Authors | Wang, DH; Landolt, J; Mavromatidis, G; Orehounig, K; Carmeliet, J |
| Title | CESAR: A bottom-up building stock modelling tool for Switzerland to address sustainable energy transformation strategies |
| Year | 2018 |
| Published | |
| Abstract | This paper presents the building stock model CESAR (Combined Energy Simulation And Retrofitting), which is based on bottom-up modelling methodology for the development of sustainable energy transformation strategies for the buildings in Swiss districts. CESAR is composed of two sub-models: a Demand Model (DM) and a Retrofitting Model (RM). The DM is tasked with identifying the current energy demand of buildings in districts. It builds on geo-referenced information and available census data, and its flexibility allows it to be applicable to any kind of residential neighbourhood within Switzerland. The DM is based on an automated bottom-up modelling technique, which employs the dynamic building energy simulation software tool EnergyPlus as its simulation core to generate hourly energy demand profiles of individual buildings taking the interactions with neighbouring buildings (e.g. shading and solar inter-reflections) into account. Once current energy demands are calculated by the DM, the RM further offers the possibility to apply a set of energy transformation scenarios, based on the Swiss Energy Strategy 2050, to generate future demand and emission projections of districts including key economic indicators. Besides that, the building energy performance under climate change projections can be evaluated. In this paper, the tool is applied on three case study districts, an urban, suburban and rural area, within Switzerland and different transformation scenarios according to the Energy Strategy are investigated. Results revealed significant differences between the two implemented transformation scenarios, the Business as Usual (WWB) and the New Energy Policy (NEP). While in the WWB scenario, only a small number of buildings reaches the intended targets for primary energy and GHG emissions until 2050, the NEP scenario induces a much higher transformation of the districts. Besides that, the significance of the impact of global warming on future cooling demand is shown. (C) 2018 Elsevier B.V. All rights reserved. |
Similar Articles
| ID | Score | Article |
|---|---|---|
14390
|
Hossain, MU; Cicco, I; Bilec, MM Advancing Urban Building Energy Modeling: Building Energy Simulations for Three Commercial Building Stocks through Archetype Development(2024)Buildings, 14, 5 | |
| 62956
|
Buckley, N; Mills, G; Reinhart, C; Berzolla, ZM Using urban building energy modelling (UBEM) to support the new European Union's Green Deal: Case study of Dublin Ireland(2021) | |
| 43367
|
Torabi Moghadam, S; Toniolo, J; Mutani, G; Lombardi, P A GIS-statistical approach for assessing built environment energy use at urban scale(2018) | |
| 7131
|
Yang, XN; Hu, MM; Zhang, CB; Steubing, B Key strategies for decarbonizing the residential building stock: Results from a spatiotemporal model for Leiden, the Netherlands(2022) | |
| 40499
|
Turner, WJN; Kinnane, O; Basu, B Demand-side characterization of the Smart City for energy modelling(2014) | |
| 22676
|
Heisel, F; McGranahan, J; Ferdinando, J; Dogan, T High-resolution combined building stock and building energy modeling to evaluate whole-life carbon emissions and saving potentials at the building and urban scale(2022) | |
| 67957
|
Alajmi, T; Phelan, P Modeling and Forecasting End-Use Energy Consumption for Residential Buildings in Kuwait Using a Bottom-Up Approach(2020)Energies, 13, 8 | |
| 80
|
Mauree, D; Coccolo, S; Perera, ATD; Nik, V; Scartezzini, JL; Naboni, E A New Framework to Evaluate Urban Design Using Urban Microclimatic Modeling in Future Climatic Conditions(2018)Sustainability, 10, 4 | |
| 68740
|
Roselt, K; Quaas, I; Genske, D; Klawonn, U; Männel, L; Reich, A; Ruff, A; Schwarze, M 'effort' (energy efficiency on-site) - a new method for planning and realization of energy-efficient neighbourhoods under the aspects of sustainability(2015) | |
| 63652
|
Lupísek, A; Trubacík, T; Holub, P Czech Building Stock: Renovation Wave Scenarios and Potential for CO2 Savings until 2050(2021)Energies, 14, 9 |