Reducing energy consumption in low energy buildings through implementation of a policy system used in automated heating systems

Carutasiu, Mihail-Bogdan; Tanasiev, Vladimir; Ionescu, Constantin; Danu, Alexandra; Necula, Horia; Badea, Adrian

doi:10.1016/j.enbuild.2015.03.008

Cited by 21 publications

(2 citation statements)

References 4 publications

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“…Work on efficiency in energy use and people comfort can be found at the Polytechnic University of Bucharest where a control implementation of an intelligent building through the implementation of a mechanism driven by a set of policies under which the heating system is activated [30]. Other studies were focused on the implementation of Human-Robot Cloud architectures (HRC) [31] on the specific scenario of smart building for efficiency gains and energy saving.…”

Section: Introductionmentioning

confidence: 99%

Microservices and Machine Learning Algorithms for Adaptive Green Buildings

et al. 2019

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In recent years, the use of services for Open Systems development has consolidated and strengthened. Advances in the Service Science and Engineering (SSE) community, promoted by the reinforcement of Web Services and Semantic Web technologies and the presence of new Cloud computing techniques, such as the proliferation of microservices solutions, have allowed software architects to experiment and develop new ways of building open and adaptable computer systems at runtime. Home automation, intelligent buildings, robotics, graphical user interfaces are some of the social atmosphere environments suitable in which to apply certain innovative trends. This paper presents a schema for the adaptation of Dynamic Computer Systems (DCS) using interdisciplinary techniques on model-driven engineering, service engineering and soft computing. The proposal manages an orchestrated microservices schema for adapting component-based software architectural systems at runtime. This schema has been developed as a three-layer adaptive transformation process that is supported on a rule-based decision-making service implemented by means of Machine Learning (ML) algorithms. The experimental development was implemented in the Solar Energy Research Center (CIESOL) applying the proposed microservices schema for adapting home architectural atmosphere systems on Green Buildings.

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Section: Introductionmentioning

confidence: 99%

Microservices and Machine Learning Algorithms for Adaptive Green Buildings

et al. 2019

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“…Even if the need of creating healthy and comfortable environment in dwellings started since ancient times, the concerns regarding the efficiency of buildings gained popularity due to the recent oil crisis and global warming menace . For Bucharest climate conditions, there have been conducted studies regarding the potential of increasing the energy efficiency of new buildings, by analyzing the behavior of the passive house concept Danu et al, 2015). The results showed that the energy consumption can be decreased by combining renewable energy sources with an efficient HVAC (Heating Ventilating and Air Conditioning) system, a special type of architecture, compact shape and very good insulation with minimum thermal bridges.…”

Section: Introductionmentioning

confidence: 99%

Optimal technical and economic strategy for retrofitting residential buildings in Romania

Carutasiu

Ionescu

Necula

2017

Proceedings of the International Conference on Business Excellence

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The European Legislation is very strict regarding the importance of reducing the energy consumption in buildings sector. The importance of achieving nearly zero energy consumption levels for both new and existing buildings is also highlighted in each Members’ national legislation. Moreover, the high percentage of existing buildings across European Union, indicates that they need to be adequately approached in order to achieve the ambitious energy efficiency goals. This implies creating the optimal technical and financial retrofit strategies regarding minimizing the energy consumption without lowering the interior comfort levels. In Romania, there is no unitary strategy aiming to maximize the energy efficiency in buildings which also takes into consideration the financial part of the process. Moreover, there are no known national guidelines and strategies for buildings retrofit which takes into consideration a wide range of equipment. The Romanian Energy Efficiency Strategy presents few possibilities resulted from integrating renewable energy sources within typical Romanian buildings, while the Buildings Performance Institute Europe conducted a research regarding the potential of nearly Zero Energy Buildings implementation across Romanian territory. Both studies refer only to typical buildings and do not present a large perspective for retrofitting action, while the financial study is not properly presented. Thus, this paper develops a comprehensive financial study which could be used as guideline by stakeholders, in order to find the best technical solution for decreasing the final energy consumption in Romanian residential buildings. Using the RETScreen software and its economical features, there were developed several energy efficiency solutions, and by analyzing the financial benefits implied, the best solution was chosen. By adopting the solutions presented within this feasibility study, the energy consumption of buildings should be significantly reduced.

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