A Novel Smart ECO Model for Energy Consumption Optimization

Malekian, Reza; Bogatinoska, Dijana Capeska; Karadimce, Aleksandar; Ye, Ning; Trengoska, Jasna; Nyako, William Asiama

doi:10.5755/j01.eee.21.6.13771

Cited by 16 publications

(7 citation statements)

References 19 publications

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“…This leads to indoor temperature out of control, which easily cause chilling injury and frost disaster [3]. Then greenhouse fruit and vegetable production will slash, which seriously bruise the enthusiasm for production of farmers [4]- [6]. Therefore, it becomes the key factor to ensure crops production in winter that how to effectively keep greenhouse soil thermal energy storage and soil temperature stable.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Experiments of Active Greenhouse Heating System

Zhang¹,

Wang²,

Ma³

et al. 2019

ElAEE

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1Abstract-This paper proposed an active greenhouse heating system which focused on the problem of crop growth under extreme cold weather. At the beginning, heat transfer process of heating system was analysed based on thermal equilibrium theory. Radial and axial heat conduction mathematical analysis model of temperature control system were established respectively. Then, numerical simulation of temperature distribution was carried out by means of finite element method (FEM) software. When the effective operation range (later referred to as Qf) was defined with soil temperature more than 15 °C at 20 cm underground, opening temperature of heating system should be no less than 28 °C. Simulation results show that an increase of air inlet temperature by 2 °C could extend axial effective operating range by 2.4 m-2.8 m. Later, field test was implemented in greenhouses which located in Changping district, Beijing. Finally, compared with simulation data, the field testing data shows that the perturbation law of heating system heat transfer process on shallow and deep layer soil temperature is consistent with theoretical analysis. The numerical simulation could help to guide the temperature control of greenhouse.

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Section: Introductionmentioning

confidence: 99%

Simulation and Experiments of Active Greenhouse Heating System

Zhang¹,

Wang²,

Ma³

et al. 2019

ElAEE

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“…For maritime vessels, the main considerations include wave, surge, wind and stream; while for inland ships, the current directions are different for upstream and downstream voyage. These factors periodically affect the resistance of ships, thereby affecting the main engine power and energy efficiency level (Malekian et al 2015;Jin et al 2016;Xin et al 2016) of inland ships at a certain speed. Therefore, optimisation of speed under particular navigation condition becomes the focus in the study of increasing ship energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the operational ship energy efficiency considering navigation environmental impacts

Yuan

Malekian

et al. 2017

Journal of Marine Engineering & Technology

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In this study, a remote collecting system for ship operation energy efficiency was designed by using a tourist ship. According to measured data, the navigation environment factors of the ship were analysed statistically. The Gray correlation analysis was used to study the correlation degree among wind, water depth, water velocity and ship operation energy efficiency. On this basis, the Wuhan-Nanjing section of Yangtze River (upstream and downstream) was selected to analyse the law of wind speed effect on the energy efficiency of ship operation. The data analysis demonstrates that in different navigation environments, the ship energy efficiency can be significantly improved by optimising the main engine speed.

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“…The article [13] investigated the possibility of using a new Smart-ECO model, consisting of a smart device, in order to optimize the electricity consumption per appliance. A method of production scheduling oriented to energy consumption optimization for process industry was proposed in article [14], which is based on selfadaptive differential evolution algorithm.…”

Section: Introductionmentioning

confidence: 99%

Energy consumption optimization management mechanism based on drug green crowd data in biological pharmaceutical cloud environment

Wang

Cheng

2017

J Embedded Systems

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For satisfying the network trend and intelligent demand of biopharmaceutical, we proposed the energy optimization consumption and management scheme of the drug green crowd data in the biological pharmaceutical cloud environment. First, the biopharmaceutical process are mapped to the cloud platform, which can not only adapt to the revolutionary changes in the way of biopharmaceutical research and but also build a network management platform for pharmaceutical research and development. Secondly, based on the green crowd, we reconstruct the organization structure of the cloud platform, production process, and value chain-driven portfolio, etc. Then, we divide the core of the cloud platform architecture into five substages. The green screening, reorganization, and crowd data processing will be completed by the cooperation of these stages. Finally, the drug green crowd architecture is embedded into the time domain conversion interface and the state transition interface. In addition, the state energy consumption model of the biological pharmaceutical cloud platform is constructed. The experimental results show that compared with the traditional task-driven energy consumption management mechanism, the proposed management mechanism can ensure higher throughput, higher effective flow rate, and higher effective energy consumption ratio.

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A Novel Smart ECO Model for Energy Consumption Optimization

Cited by 16 publications

References 19 publications

Simulation and Experiments of Active Greenhouse Heating System

Simulation and Experiments of Active Greenhouse Heating System

Analysis of the operational ship energy efficiency considering navigation environmental impacts

Energy consumption optimization management mechanism based on drug green crowd data in biological pharmaceutical cloud environment

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