A visual energy performance assessment and decision support tool for dwellings

Mhalas, Amit; Kassem, Mohamad; Crosbie, Tracey; Dawood, Nashwan

doi:10.1186/2213-7459-1-7

Cited by 23 publications

(12 citation statements)

References 25 publications

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“…298 The following further discusses issues regarding the 299 top-down and bottom-up energy models. (Mhalas et al, 2013;Hoogwijk et al, 2008). Shorrock 385 and Dunster (1997) and Johnston (2003) rates, and the host of others (Mhalas et al, 2013).…”

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confidence: 94%

Household energy consumption and carbon emissions for sustainable cities – A critical review of modelling approaches

Oladokun

Odesola

2015

International Journal of Sustainable Built Environment

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11The purpose of this paper is to conduct a review of how household energy consumption and carbon emissions (HECCE) modelling 12 paradigms have evolved over the years. This is achieved by adopting the literature review methodology for the study. The paper first 13 reviewed the previous studies that are serving as the theoretical framework underpinning the HECCE models. Further to this, the paper 14 identified an array of energy models that have evolved over the years together with their capability of analysing energy consumption and 15 their associated carbon emission trends in housing sector of the economy. The results of the study showed that econometric (mainly 16 top-down), building physics, and statistical (mainly bottom-up) methods are the existing approaches that have found application in mod-17 elling HECCE issues. However, a number of limitations were noticed in these existing modelling techniques. These are (1) lack of trans-18 parency in the model algorithms, (2) inability to account for the complex, interdependencies, and dynamic nature of the issue of energy 19 consumption and carbon emissions, (3) limited evidence to show for the occupants-dwelling interactions, and (4) lack of enough capacity 20 to accommodate qualitative data input. And as such, the study concluded that there is the need to scout for more robust and sophisti-21 cated modelling approaches that take into consideration the kind of complexity involved in issues relating to HECCE. 22

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confidence: 94%

Household energy consumption and carbon emissions for sustainable cities – A critical review of modelling approaches

Oladokun

Odesola

2015

International Journal of Sustainable Built Environment

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“…The models involved in calculation of the impact of these interventions, the associated attributes and the output from the models are discussed in Mhalas et al (2013).…”

Section: Quantification Of Energy Consumption and Carbon Emission Redmentioning

confidence: 99%

“…The eigen-vectors established are the rankings that determine the preference for the alternatives based on the criteria. The input parameters and the output from the models involved along with the final output of the decision support system are explained in Mhalas et al (2013).…”

Section: Decision Support Systemmentioning

confidence: 99%

“…The attributes from the object database and the equations of the energy sub-models, identified from SAP/BREDEM (DECC/BRE 2010) and used to evaluate the energy performance of the dwelling, include: heat losses due to ventilation, heat losses from building fabric such as doors, windows, roof, floor and walls, energy demand for water heating, internal gains from occupant metabolism, lighting and electrical appliances, cooking, water heating and boiler pumps for space and water heating and losses from evaporation; and external gains due to solar radiation through windows, space heating demand depending on the building geometry, heat losses, difference between internal temperature demand and external temperature and fraction of living space to total dwelling area, energy required by the heating system to meet the total (water and space) heat demand, electricity required for pumps, lighting and electrical appliances, energy cost depending on amount of electricity required from the grid and type and amount of fuel required for space and water heating, SAP rating based on the total cost of energy use (for space heating and lighting) normalized to the floor area of the dwelling, and CO 2 emissions based on amount of electricity and total amount of fuel for space heating and water and their emission factors. The parameters affecting each attribute and the relationship among attributes are explained in Mhalas et al (2013).…”

Section: Baseline Energy Consumptionmentioning

confidence: 99%

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Assessing Energy Improvement Potential from Efficiency and Renewable Interventions at Neighborhood Level

Mhalas

Crosbie

Dawood

et al. 2014

Computing in Civil and Building Engineering (2014)

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Tools for the estimation of energy performance improvement, achievable through energy efficiency and renewable energy interventions, with decision making capabilities for policy implementation at neighborhood level are still lacking. In this paper, we present a proof-of-concept tool that integrates a decision support mechanism for enabling opinions and criteria of various decision makers to be taken into account during the implementation of energy efficiency interventions at neighborhood level.The tool is based on integrating information from aerial and terrestrial imagery, digital maps and national databases and statistics providing housing data on a GIS platform.The testing of the tool with the involvement of local authorities and social housing providers demonstrated that the tool can support policy makers in making informed decisions with regard to the implementation of energy policies and initiatives and contribute to meeting CO 2 emission reduction targets.

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“…Visualization devices like CCTV (Chen et al 2013) and RGB-D cameras (Han et al 2013) are used on building spaces and workers for monitoring and tracking purpose (Yabuki et al 2013). BIM experts utilized visual information for assisting decision-making processes regarding energy issues (Mhalas et al 2013). A study combining photogrammetry and total station for dimension measurement was researched (Siu et al 2013).…”

Section: Xiangyu Wangmentioning

confidence: 99%

Editorial visualization in engineering

Wang

2014

Vis. in Eng.

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As visualization applications evolve rapidly, research efforts on visualization are becoming progressive forces toward a crucial and merit paradigm supporting the development of engineering. We are at a crucial moment for facilitating the potential adoption of visualization technologies in the field. This moment can be partially attributed to the popularization of cutting-edge visualization tools through improvements to and inventions for mobile phones, tablets and wearable devices. Visualization concerning human interactions, such as augmented reality (AR) and mixed reality (MR), also encourages engineers to think about their specific usage in order to better facilitate various engineering fields. For example, construction managers can use signal intelligent mobile phone showing AR construction animation on the exact place of the construction site, and control the animation by signal touch on the screen to see whether there is any delay situations regarding current construction status. More visualization usages will expected to be motivated and realized in the future.Visualization in Engineering provides, for the first time, an international and interdisciplinary platform for researchers to present their findings, latest developments, and perspectives on future trends in visualization in design and engineering. The journal covers relevant advances in the areas of computing, management, human factors, education, social sciences and engineering. In 2013 we saw visualization technologies introduced to various applications in growing numbers, thanks to the rapid development of computational software and hardware. Visualization in Engineering so far published thirteen excellent papers that fully cover the wide range of fields in which visualization technology has been implemented.

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A visual energy performance assessment and decision support tool for dwellings

Cited by 23 publications

References 25 publications

Household energy consumption and carbon emissions for sustainable cities – A critical review of modelling approaches

Household energy consumption and carbon emissions for sustainable cities – A critical review of modelling approaches

Assessing Energy Improvement Potential from Efficiency and Renewable Interventions at Neighborhood Level

Editorial visualization in engineering

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