A supporting method for defining energy strategies in the building sector at urban scale

Caputo, Paola; Costa, G.; Ferrari, Simone

doi:10.1016/j.enpol.2012.12.006

Cited by 212 publications

(111 citation statements)

References 13 publications

Supporting

Mentioning

105

Contrasting

Unclassified

Order By: Relevance

“…Those aspects related to urban layout have been poorly approached. Only solar orientation has been integrated into three models (Ascione et al, 2013;Caputo et al, 2013;Mauro et al, 2015). Nevertheless, solid evidence for the influence of urban morphology and the street H/W ratio on the energy performance of buildings has been found in the literature.…”

Section: Selection Of Response Variables and Covariatesmentioning

confidence: 99%

A methodology for predicting the energy performance and indoor thermal comfort of residential stocks on the neighbourhood and city scales. A case study in Spain

Braulio-Gonzalo

Bovea

Aguilar

et al. 2016

Journal of Cleaner Production

View full text Add to dashboard Cite

Section: Selection Of Response Variables and Covariatesmentioning

confidence: 99%

A methodology for predicting the energy performance and indoor thermal comfort of residential stocks on the neighbourhood and city scales. A case study in Spain

Braulio-Gonzalo

Bovea

Aguilar

et al. 2016

Journal of Cleaner Production

View full text Add to dashboard Cite

“…The use of city models (GIS) has been increasingly popular in the visualization of the energy performance of individual buildings or districts, from either measured values or energy audits in studies of urban environments (Johansson et al, 2016). The method has also been used in the following studies: Johansson et al, (2016) have developed a city energy model based on the requests and need for visualization from a group energy advisors; Aksoezen et al,(2015b) have studied the energy use of all the building stock in the city of Basel, Switzerland based on a GIS-based depository; Caputo et al, (2013) have developed a methodology able to characterize the energy performance of the built environment in a city to evaluate the effects of different energy strategies; Fabbri et al, (2012) have analyzed the energy performance of entire zones of a city by using GIS map projection. The GIS database contains data, such as type of building, number of floors, year of construction, built area and land surface.…”

Section: Categorizationmentioning

confidence: 99%

A systematic approach for major renovation of residential buildings

Liu

2017

Linköping Studies in Science and Technology. Dissertations

View full text Add to dashboard Cite

In Sweden, buildings are responsible for about 40 % of total energy use and about 10 % of total CO 2 emissions. Today more than 60 % of existing Swedish residential buildings are over 40 years old and are in need of major renovation. In addition, 15 % of all multi-family buildings and 27 % of all single-family houses were built before 1945. The increased energy use and threat from CO 2 emissions of the building sector create a need for energy efficiency. The important role that renovation of residential buildings will play in reducing the total energy used by the Swedish building sector as well as in reducing primary energy use and CO 2 emissions on both the national and global levels has been the impetus for the studies included in this thesis.The aim of the current research is to develop a methodology from a system perspective which can be used to analyze the energy use, optimal life cycle cost (LCC), energy efficiency measure (EEM) package, indoor environment, CO 2 emissions, and primary energy use of a building or a community during major renovation. The developed methodology accomplished at three different levels, i.e. building level, cluster level and district level. The methodology considers both energy efficiency and economic viability during building renovation and will also play an important role in overall urban planning. The studied buildings include both nonlisted and listed residential buildings and the tools used include building energy simulation (BES), survey, technical measurements, LCC optimization and building categorization.The results show that the combination of BES, technical measurements and surveys provides a holistic approach for evaluation of energy use and indoor environment of the studied residential buildings. The results from the current study also show that the 2020 energy target, i.e., reduction of energy use by 20 %, for the building sector can be achieved by all the studied building types and that the total LCC of these buildings are below the cost-optimal point. In comparison, the 2050 energy target, i.e., reduction of energy use by 50 %, for the building sector may be achieved by the non-listed buildings, but when the constraints relevant to listed buildings are added the cost-optimality changes as some EEMs in direct conflict with the building's heritage value may not be implemented.The investigation of primary energy use and CO 2 emissions by the residential buildings show that the higher the energy saving, the lower the primary energy use becomes, and vice versa. With the same energy saving, the heating system with higher primary energy factor results in higher primary energy use. From a CO 2 emissions point of view, EEM packages proposed to help buildings connected to a CHP based district heating system, to reduce the energy use or LCC are not consistently effective. Since these EEM packages will reduce district heating demand, the electricity produced in the CHP plant will also decrease. When the biomass is considered a limited resource, measures such as investm...

show abstract

“…The method has a time-intensive process of creating a set of representative building simulations. Caputo et al (2013) developed 56 detailed archetypes considering form factor of buildings for the city of Milan, Italy. The potential energy consumption reduction derived from EnergyPlus was visualized in the GIS framework at the urban scale.…”

Section: Existing Building Stock Energy Prediction Modelsmentioning

confidence: 99%

Review on stochastic modeling methods for building stock energy prediction

Lim

Zhai

2017

Build. Simul.

View full text Add to dashboard Cite

Increasing risks of energy security and greenhouse gas emission due to the growing urbanization trend have prompted the need for urban energy demand prediction and management, in which the building energy consumption is the main cause. This paper reviews the recent advances and state-of-the-art in modeling building stock energy consumption, including both the top-down and bottom-up approaches. The study compares and summarizes the strengths and weaknesses of each primary method. Specific focus has been paid to the bottom-up stochastic engineering modeling methods, which hold sound quantitative theory bases as well as considering uncertain reality conditions. Stochastic building stock energy models account for the uncertainties that are the main limitation in existing building stock models. Discussions are provided regarding the process in the current stochastic building stock energy model. Challenges and possible future directions are examined for the improvement of stochastic building stock energy model.

show abstract

A supporting method for defining energy strategies in the building sector at urban scale

Cited by 212 publications

References 13 publications

A methodology for predicting the energy performance and indoor thermal comfort of residential stocks on the neighbourhood and city scales. A case study in Spain

A methodology for predicting the energy performance and indoor thermal comfort of residential stocks on the neighbourhood and city scales. A case study in Spain

A systematic approach for major renovation of residential buildings

Review on stochastic modeling methods for building stock energy prediction

Contact Info

Product

Resources

About