Building Energy Simulation of Traditional Listed Dwellings in the UK

Data sourcing for a base-case model

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNResearchpeer-review

Abstract

The need for improving energy efficiency and reducing carbon emissions has made retrofitting existing homes a priority today. A research project has been designed with one of its aims to propose a framework to intervene in traditional listed dwellings (TLDs) to reduce their environmental impact in England, with a special focus on South East region. Selected case studies in the City of Brighton and Hove, have been modelled and simulated in their status quo using Dynamic Energy Simulation (DES). The models, calibrated using monitored energy and indoor conditions data, are then to be used to simulate the effect of permissible retrofit interventions.
DES requires accurate sourcing of multiple input data, to ensure that the models created, closely resemble the real case study dwellings in their energy performance and thermal behaviour. This process can be extremely challeng-ing in the case of simulation of TLDs, where most of the envelope’s con-struction is unknown and intrusive tests are not usually permitted. The data sourcing process is even more complex in the case of dwellings in use, be-cause of the variability of occupancy profiles and patterns of use over time.
Providing a brief overview of the methodology adopted in this study, this paper describes, in detail, the approach devised to ensure that the most credible datasets are collected from different sources for generating models that accurately represent the real case study dwellings in their status-quo and can be used in the following stages of the analysis to asses potential retrofit interventions.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Sustainability in Energy and Buildings 2019 (SEB-19)
PublisherSpringer
Publication statusPublished - 5 Jul 2019
EventInternational Conference on Sustainability in Energy and Buildings
- Budapest, Hungary
Duration: 4 Jul 20195 Jul 2019

Publication series

NameKES Smart Innovation Systems and Technologies

Conference

ConferenceInternational Conference on Sustainability in Energy and Buildings
Abbreviated titleSEB-19
CountryHungary
CityBudapest
Period4/07/195/07/19

Fingerprint

Retrofitting
Environmental impact
Energy efficiency
Carbon
Hot Temperature

Keywords

  • building energy simulation (BES)
  • Traditional Listed Dwellings
  • Base-Case Model
  • Dynamic Energy Modelling
  • Responsive Retrofit

Cite this

Menconi, M., Painting, N., & Piroozfar, P. (2019). Building Energy Simulation of Traditional Listed Dwellings in the UK: Data sourcing for a base-case model. In Proceedings of the International Conference on Sustainability in Energy and Buildings 2019 (SEB-19) (KES Smart Innovation Systems and Technologies). Springer.
Menconi, Michela ; Painting, Noel ; Piroozfar, Poorang. / Building Energy Simulation of Traditional Listed Dwellings in the UK : Data sourcing for a base-case model. Proceedings of the International Conference on Sustainability in Energy and Buildings 2019 (SEB-19). Springer, 2019. (KES Smart Innovation Systems and Technologies).
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abstract = "The need for improving energy efficiency and reducing carbon emissions has made retrofitting existing homes a priority today. A research project has been designed with one of its aims to propose a framework to intervene in traditional listed dwellings (TLDs) to reduce their environmental impact in England, with a special focus on South East region. Selected case studies in the City of Brighton and Hove, have been modelled and simulated in their status quo using Dynamic Energy Simulation (DES). The models, calibrated using monitored energy and indoor conditions data, are then to be used to simulate the effect of permissible retrofit interventions. DES requires accurate sourcing of multiple input data, to ensure that the models created, closely resemble the real case study dwellings in their energy performance and thermal behaviour. This process can be extremely challeng-ing in the case of simulation of TLDs, where most of the envelope’s con-struction is unknown and intrusive tests are not usually permitted. The data sourcing process is even more complex in the case of dwellings in use, be-cause of the variability of occupancy profiles and patterns of use over time.Providing a brief overview of the methodology adopted in this study, this paper describes, in detail, the approach devised to ensure that the most credible datasets are collected from different sources for generating models that accurately represent the real case study dwellings in their status-quo and can be used in the following stages of the analysis to asses potential retrofit interventions.",
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Menconi, M, Painting, N & Piroozfar, P 2019, Building Energy Simulation of Traditional Listed Dwellings in the UK: Data sourcing for a base-case model. in Proceedings of the International Conference on Sustainability in Energy and Buildings 2019 (SEB-19). KES Smart Innovation Systems and Technologies, Springer, International Conference on Sustainability in Energy and Buildings
, Budapest, Hungary, 4/07/19.

Building Energy Simulation of Traditional Listed Dwellings in the UK : Data sourcing for a base-case model. / Menconi, Michela; Painting, Noel; Piroozfar, Poorang.

Proceedings of the International Conference on Sustainability in Energy and Buildings 2019 (SEB-19). Springer, 2019. (KES Smart Innovation Systems and Technologies).

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNResearchpeer-review

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T1 - Building Energy Simulation of Traditional Listed Dwellings in the UK

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PY - 2019/7/5

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AB - The need for improving energy efficiency and reducing carbon emissions has made retrofitting existing homes a priority today. A research project has been designed with one of its aims to propose a framework to intervene in traditional listed dwellings (TLDs) to reduce their environmental impact in England, with a special focus on South East region. Selected case studies in the City of Brighton and Hove, have been modelled and simulated in their status quo using Dynamic Energy Simulation (DES). The models, calibrated using monitored energy and indoor conditions data, are then to be used to simulate the effect of permissible retrofit interventions. DES requires accurate sourcing of multiple input data, to ensure that the models created, closely resemble the real case study dwellings in their energy performance and thermal behaviour. This process can be extremely challeng-ing in the case of simulation of TLDs, where most of the envelope’s con-struction is unknown and intrusive tests are not usually permitted. The data sourcing process is even more complex in the case of dwellings in use, be-cause of the variability of occupancy profiles and patterns of use over time.Providing a brief overview of the methodology adopted in this study, this paper describes, in detail, the approach devised to ensure that the most credible datasets are collected from different sources for generating models that accurately represent the real case study dwellings in their status-quo and can be used in the following stages of the analysis to asses potential retrofit interventions.

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M3 - Conference contribution with ISSN or ISBN

T3 - KES Smart Innovation Systems and Technologies

BT - Proceedings of the International Conference on Sustainability in Energy and Buildings 2019 (SEB-19)

PB - Springer

ER -

Menconi M, Painting N, Piroozfar P. Building Energy Simulation of Traditional Listed Dwellings in the UK: Data sourcing for a base-case model. In Proceedings of the International Conference on Sustainability in Energy and Buildings 2019 (SEB-19). Springer. 2019. (KES Smart Innovation Systems and Technologies).