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Pervez Hameed Shaikh

Bio: Pervez Hameed Shaikh is an academic researcher from Mehran University of Engineering and Technology. The author has contributed to research in topics: Renewable energy & Efficient energy use. The author has an hindex of 11, co-authored 36 publications receiving 1057 citations. Previous affiliations of Pervez Hameed Shaikh include Universiti Teknologi Petronas & Petronas.

Papers
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Journal ArticleDOI
TL;DR: In this article, the authors present a comprehensive and significant research conducted on state-of-the-art intelligent control systems for energy and comfort management in smart energy buildings (SEB's).
Abstract: Buildings all around the world consume a significant amount of energy, which is more or less one-third of the total primary energy resources. This has raised concerns over energy supplies, rapid energy resource depletion, rising building service demands, improved comfort life styles along with the increased time spent in buildings; consequently, this has shown a rising energy demand in the near future. However, contemporary buildings’ energy efficiency has been fast tracked solution to cope/limit the rising energy demand of this sector. Building energy efficiency has turned out to be a multi-faceted problem, when provided with the limitation for the satisfaction of the indoor comfort index. However, the comfort level for occupants and their behavior have a significant effect on the energy consumption pattern. It is generally perceived that energy unaware activities can also add one-third to the building’s energy performance. Researchers and investigators have been working with this issue for over a decade; yet it remains a challenge. This review paper presents a comprehensive and significant research conducted on state-of-the-art intelligent control systems for energy and comfort management in smart energy buildings (SEB’s). It also aims at providing a building research community for better understanding and up-to-date knowledge for energy and comfort related trends and future directions. The main table summarizes 121 works closely related to the mentioned issue. Key areas focused on include comfort parameters, control systems, intelligent computational methods, simulation tools, occupants’ behavior and preferences, building types, supply source considerations and countries research interest in this sector. Trends for future developments and existing research in this area have been broadly studied and depicted in a graphical layout. In addition, prospective future advancements and gaps have also been discussed comprehensively.

689 citations

Journal ArticleDOI
01 Dec 2017-Energy
TL;DR: In this article, the authors constructed China's natural gas consumption forecasting model by utilising two optimised nonlinear grey models: the Grey Verhulst Model and the Nonlinear Grey Bernoulli Model.

126 citations

Journal ArticleDOI
TL;DR: In this paper, a review on the building energy scenario, the policy perspectives, building energy efficiency programs along with landmark buildings and their characteristics are discussed, and the potential of renewable energy resources in buildings and various prospective issues and challenges faced by the country have also been discussed.
Abstract: Malaysia is located in Southeast Asia near the equator within the typical tropical climatic zone. The efficient use of energy is vital due to the dependency on fossil resources that are being exhausted, which ultimately cause CO2 emissions. Economic development and population growth are deemed to affect the growing energy demand in the country. Therefore, sustainability, energy security, and climate change are crucial challenges for the power sector in Malaysia. The aforementioned issues can be tackled with energy efficient measures in the building sector. Buildings in Malaysia consume 14.3% of the overall energy and 53% of only electrical energy is being consumed in residential and commercial sectors. Therefore, energy efficiency in buildings is crucial in order to reduce the energy use and improve the local environmental sustainability. This paper discusses a review on the building energy scenario, the policy perspectives, building energy efficiency programs along with landmark buildings and their characteristics. Besides, the potential of renewable energy resources in buildings and various prospective issues and challenges faced by the country have also been discussed. The significant review content thus benefits researchers, scientists and practitioners for a better understanding on energy efficiency and the sustainable measures that have been so far taken. The review also puts forward some actions to promote building energy efficiency and conservation.

100 citations

Journal ArticleDOI
TL;DR: In this article, a multi-agent control system has been developed in combination with stochastic intelligent optimization, where the multi-objective genetic algorithm (MOGA) was used as optimization algorithm.

75 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a review of indoor lighting simulation related to the buildings research and present the most popular simulation tools used for the simulation of lighting in the building prototypes by various researchers.
Abstract: Lighting system design is a significant component of building and is considered as an important aspect when addressing sustainability of buildings. Achieving sustainability in buildings would tackle through energy conservation and waste savings. In most of the industrialised countries, rising energy costs make indoor artificial lightings as a significant contributor. Thus, visual comfort within the indoor environment could be affected by an energy-saving strategy. This paper organises a systematic state of the art review of indoor lighting simulation related to the buildings research. Simulation allows artificial objects and dynamical role variations to optimise the maximal use of lighting systems in buildings. Thus, it allows equivalent lighting system design and the synthetic environment in a virtual world. This strategy makes it possible to design and select the subjective state of the physical and virtual well-being of the visual comfort in the buildings. The main objective of this paper is to find out the most popular simulation tool adopted for the simulation of lighting in the building prototypes by various researchers. The simulation platforms are categorised in simple tools and integrated tools. The survey comprises of seventy papers which were thoroughly reviewed. It is observed that various relevant studies were carried out by different researchers in the energy savings and lighting in buildings and their prototypes were found during the survey. This research can positively aid the researchers and energy managers in deciding the feasible simulation tool for simulating their respective prototypes.

47 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, the authors present a comprehensive and significant research conducted on state-of-the-art intelligent control systems for energy and comfort management in smart energy buildings (SEB's).
Abstract: Buildings all around the world consume a significant amount of energy, which is more or less one-third of the total primary energy resources. This has raised concerns over energy supplies, rapid energy resource depletion, rising building service demands, improved comfort life styles along with the increased time spent in buildings; consequently, this has shown a rising energy demand in the near future. However, contemporary buildings’ energy efficiency has been fast tracked solution to cope/limit the rising energy demand of this sector. Building energy efficiency has turned out to be a multi-faceted problem, when provided with the limitation for the satisfaction of the indoor comfort index. However, the comfort level for occupants and their behavior have a significant effect on the energy consumption pattern. It is generally perceived that energy unaware activities can also add one-third to the building’s energy performance. Researchers and investigators have been working with this issue for over a decade; yet it remains a challenge. This review paper presents a comprehensive and significant research conducted on state-of-the-art intelligent control systems for energy and comfort management in smart energy buildings (SEB’s). It also aims at providing a building research community for better understanding and up-to-date knowledge for energy and comfort related trends and future directions. The main table summarizes 121 works closely related to the mentioned issue. Key areas focused on include comfort parameters, control systems, intelligent computational methods, simulation tools, occupants’ behavior and preferences, building types, supply source considerations and countries research interest in this sector. Trends for future developments and existing research in this area have been broadly studied and depicted in a graphical layout. In addition, prospective future advancements and gaps have also been discussed comprehensively.

689 citations

Journal ArticleDOI
12 Mar 2018-Energies
TL;DR: In this paper, the authors introduce a common dictionary and taxonomy that gives a common ground to all the engineering disciplines involved in building design and control, and critically discuss the outcomes of different existing MPC algorithms for building and HVAC system management.
Abstract: In the last few years, the application of Model Predictive Control (MPC) for energy management in buildings has received significant attention from the research community. MPC is becoming more and more viable because of the increase in computational power of building automation systems and the availability of a significant amount of monitored building data. MPC has found successful implementation in building thermal regulation, fully exploiting the potential of building thermal mass. Moreover, MPC has been positively applied to active energy storage systems, as well as to the optimal management of on-site renewable energy sources. MPC also opens up several opportunities for enhancing energy efficiency in the operation of Heating Ventilation and Air Conditioning (HVAC) systems because of its ability to consider constraints, prediction of disturbances and multiple conflicting objectives, such as indoor thermal comfort and building energy demand. Despite the application of MPC algorithms in building control has been thoroughly investigated in various works, a unified framework that fully describes and formulates the implementation is still lacking. Firstly, this work introduces a common dictionary and taxonomy that gives a common ground to all the engineering disciplines involved in building design and control. Secondly the main scope of this paper is to define the MPC formulation framework and critically discuss the outcomes of different existing MPC algorithms for building and HVAC system management. The potential benefits of the application of MPC in improving energy efficiency in buildings were highlighted.

319 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated heat pump systems in smart grids, focussing on fields of application and control approaches that have emerged in academic literature, based on a review of published literatu...
Abstract: This paper investigates heat pump systems in smart grids, focussing on fields of application and control approaches that have emerged in academic literature. Based on a review of published literatu ...

310 citations

Journal ArticleDOI
TL;DR: This paper provides a unified framework for model predictive building control technology with focus on the real-world applications and presents the essential components of a practical implementation of MPC such as different control architectures and nuances of communication infrastructures within supervisory control and data acquisition (SCADA) systems.

276 citations