TY  - JOUR
AU  - Kavgić, M.
AU  - Mavrogianni, A.
AU  - Mumović, D.
AU  - Summerfield, A.
AU  - Stevanović, Z.
AU  - Đurović Petrović, Maja
PY  - 2010
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1121
AB  - Efficient and rational implementation of building stock CO(2) emission reduction strategies and policies requires the application of comprehensive building stock models that have the ability to: (a) estimate the baseline energy demand of the existing building stock, (b) explore the technical and economic effects of different CO(2) emission reduction strategies over time, including the impact of new technologies, and (c) to identify the effect of emission reduction strategies on indoor environmental quality. The aims of this paper are fourfold: (a) to briefly describe bottom-up and top-down methods and overview common bottom-up modelling techniques (statistical and building physics based), (b) to critically analyse the existing bottom-up building physics based residential energy models focusing on their purposes, strengths, and shortcomings, (c) to compare five building physics based bottom-up models focusing on the same building stock - UK case study, and (d) to identify the next generation of coupled energy-health bottom-up building stock models. This paper has identified three major issues which need to be addressed: a) the lack of publicly available detailed data relating to inputs and assumptions, as well as underlying algorithms, renders any attempt to reproduce their outcomes problematic, b) lack of data on the relative importance of input parameter variations on the predicted demand outputs, and c) uncertainty as to the socio-technical drivers of energy consumption - how people use energy and how they react to changes in their home as a result of energy conservation measures.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Building and Environment
T1  - A review of bottom-up building stock models for energy consumption in the residential sector
EP  - 1697
IS  - 7
SP  - 1683
VL  - 45
DO  - 10.1016/j.buildenv.2010.01.021
ER  - 

@article{
author = "Kavgić, M. and Mavrogianni, A. and Mumović, D. and Summerfield, A. and Stevanović, Z. and Đurović Petrović, Maja",
year = "2010",
abstract = "Efficient and rational implementation of building stock CO(2) emission reduction strategies and policies requires the application of comprehensive building stock models that have the ability to: (a) estimate the baseline energy demand of the existing building stock, (b) explore the technical and economic effects of different CO(2) emission reduction strategies over time, including the impact of new technologies, and (c) to identify the effect of emission reduction strategies on indoor environmental quality. The aims of this paper are fourfold: (a) to briefly describe bottom-up and top-down methods and overview common bottom-up modelling techniques (statistical and building physics based), (b) to critically analyse the existing bottom-up building physics based residential energy models focusing on their purposes, strengths, and shortcomings, (c) to compare five building physics based bottom-up models focusing on the same building stock - UK case study, and (d) to identify the next generation of coupled energy-health bottom-up building stock models. This paper has identified three major issues which need to be addressed: a) the lack of publicly available detailed data relating to inputs and assumptions, as well as underlying algorithms, renders any attempt to reproduce their outcomes problematic, b) lack of data on the relative importance of input parameter variations on the predicted demand outputs, and c) uncertainty as to the socio-technical drivers of energy consumption - how people use energy and how they react to changes in their home as a result of energy conservation measures.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Building and Environment",
title = "A review of bottom-up building stock models for energy consumption in the residential sector",
pages = "1697-1683",
number = "7",
volume = "45",
doi = "10.1016/j.buildenv.2010.01.021"
}

Kavgić, M., Mavrogianni, A., Mumović, D., Summerfield, A., Stevanović, Z.,& Đurović Petrović, M.. (2010). A review of bottom-up building stock models for energy consumption in the residential sector. in Building and Environment
Pergamon-Elsevier Science Ltd, Oxford., 45(7), 1683-1697.
https://doi.org/10.1016/j.buildenv.2010.01.021

Kavgić M, Mavrogianni A, Mumović D, Summerfield A, Stevanović Z, Đurović Petrović M. A review of bottom-up building stock models for energy consumption in the residential sector. in Building and Environment. 2010;45(7):1683-1697.
doi:10.1016/j.buildenv.2010.01.021 .

Kavgić, M., Mavrogianni, A., Mumović, D., Summerfield, A., Stevanović, Z., Đurović Petrović, Maja, "A review of bottom-up building stock models for energy consumption in the residential sector" in Building and Environment, 45, no. 7 (2010):1683-1697,
https://doi.org/10.1016/j.buildenv.2010.01.021 . .

TY  - CONF
AU  - Kavgić, M.
AU  - Mumović, D.
AU  - Davies, M.
AU  - Stevanović, Z.
AU  - Đurović Petrović, Maja
PY  - 2009
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/864
AB  - Approximately 33% of total annual energy consumption and carbon emission in Belgrade (Serbia) are related to the housing sector. As such, the housing sector represents a key determinant in the development of an overall national carbon reduction strategy. The development of an effective carbon reduction strategy increasingly requires use and development of detailed predictive tools. The aims of this paper are twofold: (a) to review the state of the art bottom-up housing stock models, and briefly comment on the use of various building simulation tools in building stock modelling focusing on the housing sector, (b) to provide a conceptual algorithm for the disaggregated physically based bottom-up energy and carbon emission modelling of the housing stock in Belgrade. The suggested algorithm has been constructed around three separate components which will be created and analysed during the course of this project: a) a data module which contains information on various energy related characteristics of Belgrade's housing stock, such as urban layout, building envelope and building services; b) a data module based on a comprehensive monitoring campaign of selected dwellings in Belgrade, and c) a data module based on comprehensive modelling scenarios which will be carried out using a whole building zonal model such as 'Energy Plus'. The suggested algorithm has been designed having in mind that the results of the modelling have to be easily translated into an easy to implement carbon reduction policy.
C3  - IBPSA 2009 - International Building Performance Simulation Association 2009
T1  - A framework for comparative analysis of belgrade housing stock - determinants of carbon reduction strategy
EP  - 1082
SP  - 1075
UR  - https://hdl.handle.net/21.15107/rcub_machinery_864
ER  - 

@conference{
author = "Kavgić, M. and Mumović, D. and Davies, M. and Stevanović, Z. and Đurović Petrović, Maja",
year = "2009",
abstract = "Approximately 33% of total annual energy consumption and carbon emission in Belgrade (Serbia) are related to the housing sector. As such, the housing sector represents a key determinant in the development of an overall national carbon reduction strategy. The development of an effective carbon reduction strategy increasingly requires use and development of detailed predictive tools. The aims of this paper are twofold: (a) to review the state of the art bottom-up housing stock models, and briefly comment on the use of various building simulation tools in building stock modelling focusing on the housing sector, (b) to provide a conceptual algorithm for the disaggregated physically based bottom-up energy and carbon emission modelling of the housing stock in Belgrade. The suggested algorithm has been constructed around three separate components which will be created and analysed during the course of this project: a) a data module which contains information on various energy related characteristics of Belgrade's housing stock, such as urban layout, building envelope and building services; b) a data module based on a comprehensive monitoring campaign of selected dwellings in Belgrade, and c) a data module based on comprehensive modelling scenarios which will be carried out using a whole building zonal model such as 'Energy Plus'. The suggested algorithm has been designed having in mind that the results of the modelling have to be easily translated into an easy to implement carbon reduction policy.",
journal = "IBPSA 2009 - International Building Performance Simulation Association 2009",
title = "A framework for comparative analysis of belgrade housing stock - determinants of carbon reduction strategy",
pages = "1082-1075",
url = "https://hdl.handle.net/21.15107/rcub_machinery_864"
}

Kavgić, M., Mumović, D., Davies, M., Stevanović, Z.,& Đurović Petrović, M.. (2009). A framework for comparative analysis of belgrade housing stock - determinants of carbon reduction strategy. in IBPSA 2009 - International Building Performance Simulation Association 2009, 1075-1082.
https://hdl.handle.net/21.15107/rcub_machinery_864

Kavgić M, Mumović D, Davies M, Stevanović Z, Đurović Petrović M. A framework for comparative analysis of belgrade housing stock - determinants of carbon reduction strategy. in IBPSA 2009 - International Building Performance Simulation Association 2009. 2009;:1075-1082.
https://hdl.handle.net/21.15107/rcub_machinery_864 .

Kavgić, M., Mumović, D., Davies, M., Stevanović, Z., Đurović Petrović, Maja, "A framework for comparative analysis of belgrade housing stock - determinants of carbon reduction strategy" in IBPSA 2009 - International Building Performance Simulation Association 2009 (2009):1075-1082,
https://hdl.handle.net/21.15107/rcub_machinery_864 .