“Energymon”: Development of wireless sensor network based Decision Support System to monitor building energy performance

2011 ◽  
Author(s):  
Peter T. Szemes ◽  
Zsolt Baranyai ◽  
Janos Hamar ◽  
Miklos Zoltai
Keyword(s):  
Decision Support ◽  
Wireless Sensor Network ◽  
Decision Support System ◽  
Sensor Network ◽  
Support System ◽  
Building Energy ◽  
Energy Performance ◽  
Wireless Sensor ◽  
Building Energy Performance

scholarly journals A Cotton High-Efficiency Water-Fertilizer Control System Using Wireless Sensor Network for Precision Agriculture

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1693
Author(s):  
Chanchan Du ◽  
Lixin Zhang ◽  
Xiao Ma ◽  
Xiaokang Lou ◽  
Yongchao Shan ◽  
...  
Keyword(s):  
Control System ◽  
Decision Support ◽  
Wireless Sensor Network ◽  
Decision Support System ◽  
Sensor Network ◽  
Support System ◽  
Precision Agriculture ◽  
High Efficiency ◽  
Wireless Sensor ◽  
Sensors And Actuators

Scientific researchers have applied newly developed technologies, such as sensors and actuators, to different fields, including environmental monitoring, traffic management, and precision agriculture. Using agricultural technology to assist crop fertilization is an important research innovation that can not only reduce the workload of farmers, but also reduce resource waste and soil pollution. This paper describes the design and development of a water-fertilizer control system based on the soil conductivity threshold. The system uses a low-cost wireless sensor network as a data collection and transmission tool and transmits the data to the decision support system. The decision support system considers the change in soil electrical conductivity (EC) and moisture content to guide the application of water-fertilizer, and then improves the fertilization accuracy of the water-fertilizer control system. In the experiment, the proposed water-fertilizer control system was tested, and it was concluded that, compared with the existing traditional water-fertilizer integration control system, the amount of fertilizer used by the system was reduced by 10.89% on average, and it could save 0.76–0.87 tons of fertilizer throughout the whole growth period of cotton.

scholarly journals Modeling the Energy Performance of Event-Driven Wireless Sensor Network by Using Static Sink and Mobile Sink

Sensors ◽  
2010 ◽  
Vol 10 (12) ◽  
pp. 10876-10895 ◽  
Author(s):  
Jiehui Chen ◽  
Mariam B. Salim ◽  
Mitsuji Matsumoto
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Performance ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Event Driven

scholarly journals A MULTIPLE CRITERIA DECISION SUPPORT SYSTEM FOR ANALYZING THE CORRELATION BETWEEN THE THICKNESS OF A THERMO-INSULATION LAYER AND ITS PAYBACK PERIOD OF THE EXTERNAL WALL

2015 ◽  
Vol 21 (6) ◽  
pp. 827-835 ◽  
Author(s):  
Donatas Aviža ◽  
Zenonas Turskis ◽  
Artūras Kaklauskas
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Management System ◽  
Energy Performance ◽  
Payback Period ◽  
Multiple Criteria ◽  
Insulation Layer ◽  
Model Base ◽  
External Wall

A case study provides the correlation analysis of the thickness of the thermo-insulation layer (expanded polystyrene – EPS70) of the typical details of the external wall and energy performance class in a modern newly constructed residential low-energy building (one and two-room apartment). The conducted analysis focused on what impact different geographical areas of building construction and different energy performance classes of the building may had on the thickness of the thermo-insulation layer. Lithuania was chosen as the object of this study. Calculations were carried out in seven towns, including Vilnius, Klaipeda, Kaunas, Siauliai, Panevezys, Utena and Dukstas. According to requirements for legal acts passed in the Republic of Lithuania and to Directive 2010/31/EU (2010), as a result, the necessary thickness of thermo-insulation layers (EPS70) and a payback period were calculated. A multiple criteria decision support system for analyzing the correlation between the thickness of the thermo-insulation layer and its payback period of the external wall (DSS-ACTILPW) consisting of a database, a database management system, a model-base, a model-base management system and a user interface was developed. Information on the performed analysis is important to building designers, energy consumption auditors and investment experts who make the final decisions on energy efficiency of buildings in the residential building sector.

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