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Commercial buildings, which include office buildings, are one of the three major energy-consuming sectors, alongside industrial and transportation sectors. The vast increase in the number of buildings is a positive sign of the rapid development of Malaysia. However, most Malaysian government office buildings tend to consume energy inefficiently due to lack of energy optimization. Most of the previous studies focused on the performance of green buildings in fulfilling the green development guidelines. As such, it is essential to study the energy performance of existing government office buildings that were constructed before most energy-efficient standards were implemented to mitigate energy wastage due to the lack of energy optimization. This study aims to analyse the energy performance of existing non-green Malaysian government office buildings and the factors that influence building energy consumption, as well as to evaluate the efficacy of the existing energy conservation measures.

This study was conducted by a literature review and case study. The chosen buildings are six government office building blocks located in Kuala Lumpur, the capital city of Malaysia. In this study, a literature review has been conducted on the common factors affecting energy consumption in office buildings. The energy consumption data of the buildings were collected to calculate the building energy intensity (BEI). The BEI was compared to the MS1525:2019 and GBI benchmarks to evaluate energy performance. SketchUp software was utilized to illustrate the solar radiation and sun path diagram of the case study buildings. Finally, recommendations were derived for retrofit strategies based on non-design factors and passive design factors.

In typical government office buildings, the air-conditioning system consumed the most energy at 65.5%, followed by lighting system at 22.6%, and the remaining 11.9% was contributed by office appliances. The energy performance of the case study buildings is considered as satisfactory as the BEI did not exceed the MS1525:2019 benchmark of 200 kWh/m2/year. The E Block recorded the highest BEI of 183.12 kWh/m2/year in 2020 due to its north-east orientation which is exposed to the most solar radiation. Besides, E Block consists of rooms that can accommodate large number of occupants. As such, non-design factors which include higher occupancy rate and higher cooling demand due to high outdoor temperature leads to higher energy consumption. By considering passive design features such as building orientation and building envelope thermal properties, energy consumption can be reduced significantly.

This study provided a comprehensive insight into the energy performance of Malaysian government office buildings, which were constructed before the energy-efficient standards being introduced. By calculating the BEI of six government office buildings, it is found that the energy performance of the case study buildings fulfils the MS1525 benchmark, and that all their BEIs are below 200 kWh/m2/year. Malaysia's hot and humid climate significantly affects a building's cooling load, and it is found the air-conditioning system is the major energy consumer of Malaysian government office buildings. This study discusses the efficacy of the energy-saving measures implemented in the case study buildings to optimize energy consumption. Recommendations were derived based on the non-design factors and passive design factors that affected the energy consumption of the case study building. It is envisioned that this study can provide practical strategies for retrofit interventions to reduce energy consumption in Malaysian office buildings as well as for office buildings that are in a similar climate.

The purpose of this paper is to review the concept of occupant behavior and its relation with indoor environmental quality (IEQ) and building energy consumption. The behavior is referred to any direct or indirect action, which is selected by an occupant to manage the unpleasant indoor environmental conditions. Thermal comfort, indoor air quality, aural comfort and visual comfort are the key factors of IEQ evaluation. Human behavior significantly interacts with energy consumption in buildings.

Each IEQ parameter was reviewed separately and the overall IEQ acceptance was considered. In addition, this paper reviews the methods that were used to measure and simulate the IEQ factors, energy consumption and human behavior. Finally, the lack of knowledge in this field is based on the review demonstrated.

Most studies considered one or two IEQ factors to evaluate IEQ acceptance in buildings. Further, weakness of simulating all IEQ factors at the same time is the deficiency of IEQ simulation, based on reviews. In the case of occupant behavior simulation, the uncertainly of human psychological parameter is a drawback to predict behavior.

Energy consumption, occupant health and productivity are related to IEQ. Human behavior affects building energy consumption directly. Simulation software and methods can predict IEQ factors and human behavior. Therefore, reviewing the existing studies is critical to find new methods for measuring and simulating IEQ, energy consumption and human behavior in buildings.

To optimize hotel maintenance works, planned and reactive techniques are required which efficiently and effectively engage with the commercial and regulatory requirements of hotel operators and maintenance managers. The purposes of this study are to identify the constraints and challenges of hotel maintenance from the viewpoints of key stakeholders and to determine the strategies and processes employed in maintenance to overcome them.

The study focuses on five and four star hotels in Sanya of the Hainan Province. Eight face-to-face interviews were conducted in conjunction with 50 questionnaires, which were distributed to senior hotel operators and maintenance managers.

Maintenance management strategies are collaborative, with input from multiple stakeholders. Partial outsourcing is extremely common, being employed as a way of lowering operating costs and saving time while also meeting governmental statutory and regulatory requirements for some mechanical and electrical services. Availability of skilled workers, types of systems being serviced and the availability of specialist materials and tools were all found to influence the viability and effectiveness of in-house maintenance as discrete from outsourced maintenance. In reality, the challenges can include a lack of labor training and relatively lower quality of materials or energy efficiency requirements, especially in Sanya’s hotel industry.

The aim of this research was primarily focused on identifying the present maintenance statuses and strategies in hotels while determining the factors which result in a favorable bias toward a successful hotel maintenance management. Factors that affect hotel operators’ and maintenance managers’ decisions were identified and their influences quantified. The difficulties faced by hotels in implementing maintenance strategies were ratiocinated and stated to investigate those issues more deeply.

This paper aims to raise awareness on how a simple action by the occupant can significantly influence building energy efficiency, cost and CO₂ emissions to the environment. Classrooms in schools are the primary energy consumers (45.4%) due to the use of artificial lighting, despite Malaysia's tropical climate being ideal for daylight exploitation. This paper focuses on assessing the workplane daylight distribution quality and quantity in baseline and existing conditions of a typical pre-school classroom in Kuala Lumpur as a model-based exploration strategy towards nearly Zero Energy Buildings.

The adopted method is based on the calculation of average daylight factor (DF), daylight illuminance level (IL) and uniformity ratio (UR) parameters affected by the internal fixed drapes through computational and in situ measurements according to the requirements of the law and respective standards comprising the MS1525:2019, GBI and BREEAM.

The results show how user behaviour can turn a well-daylit area (Net Lettable Area>90%) into a poor-daylit area (NLA<5%) by sacrificing natural daylight. All the parameters' values were significantly decreased from 10% (UR) up to 88% (ADF). Full dependency on artificial lighting has imposed a total of RM18858.90 and CO₂ emissions of 25,362 kg for all pre-schools' classrooms in the country per day.

The paper develops the occupants' awareness on their contribution to climate change and global warming through the information and transparency provided.

The evidence indicates that a simple action by the occupant can significantly influence visual comfort, EE, cost and CO₂ emissions to the environment.

Using a quantitative research method, health-care workers’ (HWs) well-being was taken as the dependent variable while the two independent variables were physical quality and service environment. This study aims to focus on the well-being of HWs in their physical environment.

This study used a hybrid method that is a combination of literature review and questionnaire survey. This study used quantitative research design which is a systematic study of phenomenon by collecting quantifiable data and performing statistical, mathematical or computational techniques. This study is conducted among HWs, with doctors and nurses at four Chinese government hospitals in the southern city of Changzhou (near Shanghai) as participants.

A total of 222 responses were obtained from a random sample of HWs from four hospitals in Changzhou City, Jiangsu Province. Three-fifth of the participants (n = 133, 60%) are satisfied with hospital equipment and half (n = 111.50%) of them are satisfied with the modern technology in place. About one-third (n = 67, 30%) are satisfied with ventilation and only one-fifth (n = 44, 20%) are satisfied with hygiene. Most HWs think it was necessary to provide tests for frontline workers.

In the wake of COVID-19 in 2020, HWs are working long hours every day facing high risk of infection and stress. This research investigates the satisfaction level and the difficulties experienced by HWs based on the current physical environment setting during COVID-19 pandemic.