Optimisation of Thermochromic Thin Films on Glass; Design of Intelligent Windows

2010 ◽  
Vol 75 ◽  
pp. 79-90 ◽  
Author(s):  
Manfredi Saeli ◽  
Clara Piccirillo ◽  
Ivan P. Parkin ◽  
Russell Binions ◽  
Ian Ridley

Theoretically thermochromic glazing has the potential to reduce energy consumption in buildings by allowing visible light for day lighting, reducing unwanted solar gain during the cooling season, while allowing useful solar gain in the heating season. In this study building simulation is used to predict the savings made by novel thermochromic glazing coatings compared to standard products, for locations with different climates. The results suggest that thermochromic glazing can have a significant energy saving effect compared to current approaches.

2011 ◽  
Vol 79 ◽  
pp. 59-64
Author(s):  
Qing Ye ◽  
Lei Du

The thermally coupled distillation configuration (TCDS) could reduce energy consumption and capital investment compared with conventional distillation sequences. But their use was still limited. The five kinds of conventional distillation sequences and five kinds of thermally coupled distillation sequences were performed in separation of quaternary mixtures with distillation rigorous simulations. The energy savings of a series of thermally coupled distillation sequences were compared. The results showed that the feed composition and ease of separation of the composition have great effect on the choice of the thermally coupled sequences. In the most cases, the TCDS with side rectifier or striper had the more energy saving effect.


2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.


2012 ◽  
Vol 516-517 ◽  
pp. 1139-1143
Author(s):  
Ke Chun Sun ◽  
Wei Jun Zhang

Chongqing weather conditions as the representative, energy simulation software DesT-c Chongqing office building energy simulation analysis, simulated natural building under different ventilation conditions at room temperature, the energy consumption of building cooling load and air-conditioning system changes, with an emphasis on energy-saving effect of the night ventilation; The study showed that in Chongqing reasonable use of ventilation reduce building natural room temperature to a certain extent; Sensitive indicators of building air conditioning energy consumption than the heating energy consumption of ventilation was significantly; Night ventilation when the number of ventilators is less than 5 times / h, the energy saving effect is very significant.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zaoui Sayah ◽  
Okba Kazar ◽  
Brahim Lejdel ◽  
Abdelkader Laouid ◽  
Ahmed Ghenabzia

PurposeThis research paper aims at proposing a framework based on semantic integration in Big Data for saving energy in smart cities. The presented approach highlights the potential opportunities offered by Big Data and ontologies to reduce energy consumption in smart cities.Design/methodology/approachThis study provides an overview of semantics in Big Data and reviews various works that investigate energy saving in smart homes and cities. To reach this end, we propose an efficient architecture based on the cooperation between ontology, Big Data, and Multi-Agent Systems. Furthermore, the proposed approach shows the strength of these technologies to reduce energy consumption in smart cities.FindingsThrough this research, we seek to clarify and explain both the role of Multi-Agent System and ontology paradigms to improve systems interoperability. Indeed, it is useful to develop the proposed architecture based on Big Data. This study highlights the opportunities offered when they are combined together to provide a reliable system for saving energy in smart cities.Practical implicationsThe significant advancement of contemporary applications (smart cities, social networks, health care, IoT, etc.) requires a vast emergence of Big Data and semantics technologies in these fields. The obtained results provide an improved vision of energy-saving and environmental protection while keeping the inhabitants’ comfort.Originality/valueThis work is an efficient contribution that provides more comprehensive solutions to ontology integration in the Big Data environment. We have used all available data to reduce energy consumption, promote the change of inhabitant’s behavior, offer the required comfort, and implement an effective long-term energy policy in a smart and sustainable environment.


2020 ◽  
Vol 16 (6) ◽  
pp. 155014772093577
Author(s):  
Zan Yao ◽  
Ying Wang ◽  
Xuesong Qiu

With the rapid development of data centers in smart cities, how to reduce energy consumption and how to raise economic benefits and network performance are becoming an important research subject. In particular, data center networks do not always run at full load, which leads to significant energy consumption. In this article, we focus on the energy-efficient routing problem in software-defined network–based data center networks. For the scenario of in-band control mode of software-defined data centers, we formulate the dual optimal objective of energy-saving and the load balancing between controllers. In order to cope with a large solution space, we design the deep Q-network-based energy-efficient routing algorithm to find the energy-efficient data paths for traffic flow and control paths for switches. The simulation result reveals that the deep Q-network-based energy-efficient routing algorithm only trains part of the states and gets a good energy-saving effect and load balancing in control plane. Compared with the solver and the CERA heuristic algorithm, energy-saving effect of the deep Q-network-based energy-efficient routing algorithm is almost the same as the heuristic algorithm; however, its calculation time is reduced a lot, especially in a large number of flow scenarios; and it is more flexible to design and resolve the multi-objective optimization problem.


2013 ◽  
Vol 357-360 ◽  
pp. 492-498
Author(s):  
Hong Yu ◽  
Hai Jun Sun

In order to assess the human settlements situation of earth construction and analyse Environmental protection and energy saving effect of the earth construction's enclosure-construction, we choose Jinan's earth construction--adobe houses--to conduct the detection and analysis of energy saving and were based on the factual date to calculate enclosure-construction's heat transfer coefficient K and the actual energy consumption to analyses the influential factors of the energy consumption and determine the main part of the energy saving effect of energy consumption based on the Extensive research of the ecological environment and earth construction in Shandong province. The results show that the typical enclosure-structure with good heat saving capacity can maintain the indoor thermal stability. Through the calculation of heat retaining structure, we can know that the tested adobe house's energy consumption is larger than normal house. it suggested that the earth construction has the characteristics of better energy saving and environmental protection. seeing that the factual tested adobe house's lower intensity , bad decoration and imperfection ,we put forward the suitable earth buildings scheme of the construction of new countryside.


2011 ◽  
Vol 225-226 ◽  
pp. 239-242 ◽  
Author(s):  
Hong Lei Ma ◽  
Jian Hui Niu

An energy saving residential building in Zhangjiakou was took as research object, which was designed and constructed according to the criterion of 65% energy saving of the third stage, utilizing simulation software Dest, which was developed by Qinghua University, energy consumption simulation and economic analysis were done to the building. The results show that compared with the former residence which was built according to the non-energy saving design, the implementation of new design standard for building energy saving can not only achieve better energy saving effect, but also its payback period is short, so the new design standard for building energy saving is worth spreading.


2012 ◽  
Vol 178-181 ◽  
pp. 92-97 ◽  
Author(s):  
Jin Feng Mao ◽  
Yu Liang Huang ◽  
Jun Zhou ◽  
Zhe Li Xing

City highway tunnel ventilation design is one of the key processes in whole tunnel design. The ventilation design has important influence in ventilation sanitation effect, equipment investment, operations energy consumption and operations cost. On the premise of safety and sanitation, if city tunnel adopts natural ventilation, this can reduce energy consumption, construction cost and operations cost. Combining practical conditions of a project, this paper evaluated three kinds of mechanical ventilation, and analyzed contrastively economic efficiency of the natural ventilation and the jet longitudinal ventilation. At last drew the conclusion that the natural ventilation can reduce the total investment by 30% and has obvious energy-saving efficiency, then put forward the pertinent suggestions to the ventilation construction of highway tunnel.


2012 ◽  
Vol 178-181 ◽  
pp. 221-224
Author(s):  
Ya Jun Wu ◽  
Yu Ma

Abstract. In view of the status of existing buildings in northwest of Liaoning, most of which are lack of energy-saving practices and appear poor comfort, this paper starts from the energy saving concept, aims at figuring out the energy saving measures for cold regions, such as northwest of Liaoning province. The research includes analyzing energy-saving methods, steps and initiatives. Based on these, this paper also proposes specific technical practices to overcome the shortcomings of the existing buildings on energy conservation, and gives advices on how to reduce energy consumption and improve the quality of people’s living and working environment.


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