The Experts below are selected from a list of 143547 Experts worldwide ranked by ideXlab platform
Teuku Meurah Indra Mahlia - One of the best experts on this subject based on the ideXlab platform.
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thermal properties of beeswax graphene phase change material as Energy storage for building applications
Applied Thermal Engineering, 2017Co-Authors: Muhammad Amin, Erwin Prawiro, Rizky Achmad Luanto, Teuku Meurah Indra Mahlia, Nandy Putra, Engkos Achmad KosasihAbstract:Abstract Increased Energy Consumption in buildings is a worldwide issue. This research is concerned with the implementation of a phase change material for thermal storage. This concept has gained great attention as a solution to Reduce Energy Consumption in buildings. Beeswax, which is a phase change material with a high thermal capacity, is investigated in this research. This paper is intended to measure and analyze the thermal properties of beeswax/graphene as a phase change material. The melting temperature, thermal capacity and latent heat were determined using differential scanning calorimetry (DSC), and the thermal conductivity was investigated using a thermal conductivity measurement apparatus. To discover the change in the physical properties due to the effect of nanoparticles, the viscosity of the material was investigated as well. Based on the result from the DSC, the latent heat of 0.3 wt% beeswax/graphene increased by 22.5%. The thermal conductivity of 0.3 wt% beeswax/graphene was 2.8 W/m K. The existence of graphene nanoplatelets enhanced both the latent heat and thermal conductivity of the beeswax. Therefore, based on this result, beeswax/graphene is concluded to have the potential to Reduce Energy Consumption in buildings.
Guanglu Zhang - One of the best experts on this subject based on the ideXlab platform.
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can industrial restructuring significantly Reduce Energy Consumption evidence from china
Emerging Markets Finance and Trade, 2018Co-Authors: Guanglu ZhangAbstract:This article uses China’s input–output (I-O) tables in 2002, 2007, and 2012 to estimate the real Energy Consumption of each sector after the I-O adjustment. The relationship between the sectors is further analyzed using the utility analysis method based on ecological network analysis. The empirical results show that although the traditional Energy-intensive industries are the major Energy-consuming sectors from a direct Energy Consumption perspective, large Energy Consumption by Energy-intensive industries is transferred to downstream industries through intermediate products after the I-O adjustment. Specifically, the building industry and service sector are the sectors with the highest real Energy Consumption. With the upgrading and optimization of the industrial structure, the proportion of Energy-intensive sectors in China is declining. However, the development of the service sector and infrastructure construction still requires large intermediate inputs. Thus, industrial restructuring cannot significantly Reduce China’s total Energy Consumption.
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can industrial restructuring significantly Reduce Energy Consumption evidence from china
Emerging Markets Finance and Trade, 2018Co-Authors: Boqiang Lin, Guanglu ZhangAbstract:ABSTRACTThis article uses China’s input–output (I-O) tables in 2002, 2007, and 2012 to estimate the real Energy Consumption of each sector after the I-O adjustment. The relationship between the sectors is further analyzed using the utility analysis method based on ecological network analysis. The empirical results show that although the traditional Energy-intensive industries are the major Energy-consuming sectors from a direct Energy Consumption perspective, large Energy Consumption by Energy-intensive industries is transferred to downstream industries through intermediate products after the I-O adjustment. Specifically, the building industry and service sector are the sectors with the highest real Energy Consumption. With the upgrading and optimization of the industrial structure, the proportion of Energy-intensive sectors in China is declining. However, the development of the service sector and infrastructure construction still requires large intermediate inputs. Thus, industrial restructuring cannot s...
Mohamed O Othman - One of the best experts on this subject based on the ideXlab platform.
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Energy efficient algorithms for dynamic virtual machine consolidation in cloud data centers
IEEE Access, 2017Co-Authors: Mohammad Ali Khoshkholghi, Mohd Noor Derahman, Azizol Abdullah, Shamala Subramaniam, Mohamed O OthmanAbstract:Cloud computing has become a significant research area in large-scale computing, because it can share globally distributed resources. Cloud computing has evolved with the development of large-scale data centers, including thousands of servers around the world. However, cloud data centers consume vast amounts of electrical Energy, contributing to high-operational costs, and carbon dioxide emissions. Dynamic consolidation of virtual machines (VMs) using live migration and putting idle nodes in sleep mode allows cloud providers to optimize resource utilization and Reduce Energy Consumption. However, aggressive VM consolidation may degrade the performance. Therefore, an Energy-performance tradeoff between providing high-quality service to customers and reducing power Consumption is desired. In this paper, several novel algorithms are proposed for the dynamic consolidation of VMs in cloud data centers. The aim is to improve the utilization of computing resources and Reduce Energy Consumption under SLA constraints regarding CPU, RAM, and bandwidth. The efficiency of the proposed algorithms is validated by conducting extensive simulations. The results of the evaluation clearly show that the proposed algorithms significantly Reduce Energy Consumption while providing a high level of commitment to the SLA. Based on the proposed algorithms, Energy Consumption can be Reduced by up to 28%, and SLA can be improved up to 87% when compared with the benchmark algorithms.
Modeste Kameni Nematchoua - One of the best experts on this subject based on the ideXlab platform.
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strategies and scenarios to Reduce Energy Consumption and co2 emission in the urban rural and sustainable neighbourhoods
Sustainable Cities and Society, 2021Co-Authors: Modeste Kameni Nematchoua, Mahsan Sadeghi, Sigrid ReiterAbstract:Abstract The building sector has become a major source of worldwide carbon emissions and Energy Consumption because of rapid population growth and a continuous environmental strain caused by humanity. A lack of consistent data on life-cycle carbon emissions and Energy demand at the neighbourhood level has made it difficult to understand the origins of climate change at this scale. A sensitivity analysis brought clarity concerning the extent of environmental impacts on future climate evolution. From this perspective, the authors aimed to evaluate, analyse, compare, and provides recommendations to Reduce carbon emissions, as well as the Energy required by three types of neighbourhoods (urban, rural, and sustainable) located in and adapted to all countries worldwide. The most important parameters affecting carbon emission and Energy Consumption were analysed, including the Energy mix of countries, local building materials and climate, technological solutions utilised, daily mobility, and occupied spaces. The results indicated that the highest levels of carbon dioxide emissions were produced by countries with prosperous economies, such as China, the United States, India, Germany, and Poland, because of high concentrations of coal in their Energy mixes. Modernising cities through the construction of new eco-districts and increasing the use of new techniques for substantial renovations of outdated buildings worldwide could mitigate the amount of greenhouse gases emitted by neighbourhoods 53–97 % by 2050. Moreover, by combining substantial building renovations with the installation of photovoltaic panels on roofs, the objective of ‘zero carbon’ at the neighbourhood level could be achievable by 2050 in rural neighbourhoods. Radical changes in the judicious choice of construction materials and use of green Energy production represent targeted opportunities to resolve the future climate dilemma.
Lixia Kang - One of the best experts on this subject based on the ideXlab platform.
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multi objective optimization on a heat exchanger network retrofit with a heat pump and analysis of co2 emissions control
Applied Energy, 2015Co-Authors: Lixia KangAbstract:Integrating a heat pump into a heat exchanger network (HEN) can effectively recover the low-grade heat and Reduce Energy Consumption. In this paper, a multi-objective optimization model on a HEN retrofit with a heat pump is proposed, with the goals of minimizing the total annual cost for the retrofit and maximizing the total annual CO2 emission reduction simultaneously. The Pareto front of these two objectives is obtained by solving the proposed model. Each point on the Pareto front corresponds to the optimal configuration of the heat pump and the process heat exchangers near the pinch of the HEN. The effect of the heat pump on the economic efficiency and CO2 emission reduction of the HEN are analyzed. The results indicate that integrating the heat pump into the HEN can improve the recovery of low-grade heat and Reduce Energy Consumption and CO2 emissions. However, the integration of the heat pump into a HEN could offset the benefits from CO2 emission reduction by Energy savings, in which the CO2 emission reduction is restricted by a critical power input and a critical temperature rise. Consequently, rational installation and reasonable operation parameters of heat pump become significantly important to simultaneously ensure the reduction of CO2 emissions and Energy savings in HEN retrofit.
