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This study investigates the impact and economic viability of energy-efficient building envelope and orientation for contributing net zero energy building (NZEB) and suggests optimum thermal insulation thickness, optimum wall thickness, appropriate orientation and glazing types of window in the contexts of unique Bangladeshi subtropical monsoon climate.

The whole study was conducted through energy simulation perspective of an existing office building using building information modeling (BIM) and building energy modeling (BEM) tools which are Autodesk Revit 2017, Autodesk Green Building Studio (GBS) and eQUEST. Numerous simulation patterns were created for energy simulation considering building envelope parameters and orientations. A comprehensive data analysis of simulation results was conducted to sort out efficient passive design strategies.

The optimum thermal mass and thermal insulation thickness are 6.5 and 0.5 inches, respectively, considering energy performance and economic viability. This study highly recommends that a building should be designed with a small window-to-wall ratio in the south and west face. The window should be constructed with double glazing Low-E materials to reduce solar heat gain. The studied building saves 9.14% annual energy consumption by incorporating the suggested passive design strategies of this study.

The output of this work can add some new energy-efficient design strategies to Bangladesh National Building Code (BNBC) because BNBC has not suggested any codes or regulations regarding energy-efficient passive design strategies. It will also be useful to designers of Bangladesh and other countries with similar subtropical climatic contexts which are located in Southeast Asia and Northern Hemisphere of Earth.

This study aims to develop a web-based tool – LEED Energy Performance Online Submission Tool (LEPOST) to reduce the submission cost of the leadership in energy and environmental design (LEED) application process and facilitate green building design. Lifecycle cost reduction is a major driver for designing green buildings. LEED rating system has been well recognised and widely used in the green building industry. However, certification cost incurred in time and money is often a deterrent for some projects.

LEPOST automatically maps EnergyPlus and eQUEST energy simulation results to the LEED energy performance requirement submission templates using an extensible markup language (XML) data structure. It incorporates the Energy Star Target Finder online engine and current utility data to calculate points required to assess LEED Energy and Atmosphere Prerequisite 2 and Credit 1 automatically.

A comparative case study is conducted using an office building project. The study results show that the tool can reduce the amount of time for the LEED energy performance evaluation and submission process from more than 6 hours to 2 minutes. The total number of manual data entries is reduced from 442 to 20.

Future work includes the update to support LEED V4, the development of a parametric design function that can help design teams perform design alternatives to evaluate energy performance with minimum effort, and the integration with the LEED Online system.

The use of the tool by the building industry may decrease the cost of LEED certification for building owners, developers and design teams by simplifying the submission process.

The overall development framework of LEPOST contributes to the knowledge of the data interoperability in the building sector by demonstrating a viable solution to extract and map digital model information for achieving code and standard compliance purposes.

Vacation rental homes, in general, have different energy usage characteristics than traditional residential homes mainly because of the occupancy pattern that changes on a weekly basis. These homes, predominantly larger in size, offer a greater scope for energy savings also because of the wasteful habits of their seasonal occupants. The purpose of this paper is to investigate the causes of energy inefficiencies prevalent in these homes so that appropriate retrofit choices can be offered to homeowners.

This research presents a case study of a vacation rental home whose energy consumption was investigated in depth and energy inefficiencies identified through modeling using energy modeling software, eQUEST. Simulations were performed to identify viable retrofit scenarios.

While improvement in the building envelope such as providing shades/overhangs on the windows, reducing infiltration and increasing insulation of the exterior wall did not show promising results for savings on energy cost, other improvements such as use of highly efficient lamps, tank-less water heater system and occupancy sensors showed viable investment options with shorter payback periods. It was also found that energy use intensity of sampled houses was about half of the average of US residential buildings, which could primarily be attributed to the seasonal nature of occupancy of these houses.

There is a dearth of literature pertaining to energy efficiency-related retrofits of coastal vacation homes. This research fills that gap to some extent by addressing this issue with an ultimate aim of assisting homeowners in retrofit decision-making.

Application of appropriate shading device strategies in buildings can reduce direct solar heat gain through windows as well as optimize cooling and artificial lighting load. This study investigates the impact of common shading devices such as overhangs, fins, horizontal blinds, vertical blinds and drapes on energy consumption of an office building and suggests energy efficient shading device strategies in the contexts of unique Bangladeshi subtropical monsoon climate.

This research was performed through the energy simulation perspective of a prototype office building using a validated building energy simulation tool eQUEST. Around 100 simulation patterns were created considering various types of shading devices and building orientations. The simulation results were analysed comprehensively to find out energy-efficient shading device strategies.

Optimum overhang and fin height is equal to half of the window height in the context of the subtropical climate of Bangladesh. South and West are the most vulnerable orientations, and application of shading devices on these two orientations shows the highest reduction of cooling load and the lowest increment of lighting load. An existing building was able to save approximately 7.05% annual energy consumption by applying the shading device strategies that were suggested by this study.

The shading device strategies of this study can be incorporated into the Bangladesh National Building Code (BNBC) as new energy-efficient building design strategies because the BNBC does not have any codes or regulations regarding energy-efficient shading device. It can also be used as energy-efficient shading device strategies to other Southeast Asian countries with similar climatic contexts of Bangladesh.

Construction professionals are the major contributors to developing a sustainable construction industry, whereas architects, engineers and quantity surveyors are the key construction professionals who must play extraordinary roles in achieving better sustainable construction. Therefore, this study aims to identify the job attributes of key Sri Lankan construction professionals in addressing challenges associated with climate change.

The study adopted a mixed research approach. A literature review and preliminary semi-structured interviews were used to appraise the job roles of architects, engineers and quantity surveyors in addressing challenges associated with climate change. The data collected through the qualitative approach were used in an online questionnaire survey, and the findings were analysed using the relative index method.

The findings highlight that regardless of the knowledge of the professional category on green rating tools, carbon footprint, adaptation of renewable energies for the reduction of energy consumption, building information modelling-related applications and waste management concepts/practices are the foremost job attributes required for the key Sri Lankan construction professionals in addressing challenges associated with climate change.

The results from this study provide a handful of guidance to construction industry professionals, national and international professional institutions, non-governmental organisations and other relevant authorities to address climate change within the built environment by identifying ways for improving the relevant key job attributes of construction industry professionals.

To the best of the authors’ knowledge, this is the first study that explores the job attributes of key Sri Lankan construction professionals in addressing the challenges associated with climate change.

This study explores the utilization of simulation tools for building performance assessments among design professionals in Ghana.

A quantitative approach was used to obtain responses from 104 design professionals in Ghana through a structured questionnaire. The questionnaire was generated through a critical review of the related literature on the subject matter. Data from respondents were analyzed through descriptive and inferential statistics.

Results from the analysis indicated that design professionals in Ghana possessed a low level of awareness of the simulation tools used for building performance assessments. Subsequently, the findings also revealed that the design professionals' level of usage of the simulation tools was low.

Practically, the establishment of this study informs design stakeholders, educational institutions and researchers in Ghana. For design professionals, these findings will focus on enhancing their use of simulation tools for evaluating building performance in Ghana. For educational institutions, these findings will enable them to implement the necessary strategies for incorporating the concept of building performance simulation into their curriculum in order to boost awareness and utilization. Finally, researchers will also use the study's findings to identify any research gaps for future studies.

The findings from this study pioneer knowledge on an under-investigated topic within the Ghanaian construction industry. It also provides insight into the developing state-of-the-art technology employed in the built environment.

This case highlights a recent and important type of new sustainability project for existing buildings commonly referred to as an integrated energy retrofit (IER) project. Anthony Malkin of Malkin Holdings, owner of the Empire State Building (ESB), acknowledged the importance of making the existing building stock, particularly in New York City, more energy efficient, as it comprises a large part of the real estate in most cities. Taking a bold leadership position, Malkin vowed to make the ESB the most energy-efficient, sustainable, “green” pre-war office building through an IER project that examined several facets of the building's systems, operations, and tenant behaviors. In addition to making the ESB a green icon in Manhattan, Malkin also stated the importance of making the project transparent and economical so other pre-war buildings could copy the model. This case study examines in depth the process that Malkin Holdings underwent in attaining its goal of establishing the ESB as a leader in existing building sustainability.

After discussing and analyzing the case, students should be able to: Understand how to balance costs and benefits associated with an IER project Explain the benefits of green retrofitting to owners and tenants Identify risks in high-profile, complex projects and recommend mitigation strategies

A systematic approach is needed to engage a broad range of stakeholders to reduce greenhouse gas (GHG) emissions from energy use in the building sector. The purpose of this paper is to develop a systems‐based bottom‐up approach for this purpose, and to demonstrate its application in a case study of office building stock in the State of New South Wales (NSW) in Australia.

A conceptual framework for the general method is developed based on a cross‐typology matrix of energy consumption and supply on the one hand, and intervention schemes or policy instruments on the other. This is then tested and demonstrated using a case study of commercial office building stock, with building energy demand calculated using a validated computer energy simulation tool for a representative set of office buildings within a local government area (LGA). The energy consumption and associated GHG emissions are then aggregated up from LGA to the whole State. The impact projections of different intervention schemes are compared and mapped spatially across the State.

Results have demonstrated the significance and capability of the proposed approach, in allowing quantitative comparisons of the relative effectiveness of a specific set of regulatory, technical and behavioral scenario settings on the spatial distribution and trends in energy consumption and GHG emissions of the NSW office building stock to 2020.

Further case studies involving mixed building types and specific building types with greater granularity of modelling details, energy use and supply options, and spatial resolution are needed.

The structured cross‐typology approach is a novel contribution to bottom‐up modelling approaches to designing and/or assessing the effectiveness of specific policy instruments, alone or in combination. It will enable policy makers, property portfolio owners, utility companies and building tenants to assess the broader impacts of their specific actions towards a common goal.

The calculation of buildings’ carbon footprint (CFP) is an important basis for formulating energy-saving and emission-reduction plans for building. As an important building type, there is currently no model that considers the time factor to accurately calculate the CFP of hospital building throughout their life cycle. This paper aims to establish a CFP calculation model that covers the life cycle of hospital building and considers time factor.

On the basis of field and literature research, the basic framework is built using dynamic life cycle assessment (DLCA), and the gray prediction model is used to predict the future value. Finally, a CFP model covering the whole life cycle has been constructed and applied to a hospital building in China.

The results applied to the case show that the CO₂ emission in the operation stage of the hospital building is much higher than that in other stages, and the total CO₂ emission in the dynamic and static analysis operation stage accounts for 83.66% and 79.03%, respectively; the difference of annual average emission of CO₂ reached 28.33%. The research results show that DLCA is more accurate than traditional static life cycle assessment (LCA) when measuring long-term objects such as carbon emissions in the whole life cycle of hospital building.

This research established a carbon emission calculation model that covers the life cycle of hospital building and considered time factor, which enriches the research on carbon emission of hospital building, a special and extensive public building, and dynamically quantifies the resource consumption of hospital building in the life cycle. This paper provided a certain reference for the green design, energy saving, emission reduction and efficient use of hospital building, obviously, the limitation is that this model is only applicable to hospital building.

Arguments for the design of sustainable university buildings have emerged in South Africa. Energy being a major determinant of the sustainability of buildings, the purpose of this study was to examine the influence of various building and indoor environmental parameters on the energy performance of university buildings in South Africa.

A quantitative survey research method, administered within the context of university buildings in South Africa, was used. Data about 16 buildings from three universities were collected. Relevant, inferential statistical analyses were conducted to examine the relative influence of the building parameters on the energy consumed in the buildings. Also, regression models within building parameters were developed independently and in a combination that could be used to estimate energy consumption in the university buildings.

Findings suggested that building and indoor environmental parameters of humidity, indoor temperature, volume, illumination, and window width ratio (WWR), in that order, influenced energy consumption significantly, and also, had direct empirical relationships.

Optimising the building and indoor environmental parameters in design will enhance energy-efficiency in university buildings in South Africa.

This study contributes to the literature in terms of understanding the order of influence of building parameters on energy consumption in university buildings in the temperate climatic zone of South Africa. It also established empirical models between building and indoor environmental parameters and energy consumption, both independently and in combination, that could assist in designing energy-efficient and sustainable university buildings.