A General Approach for Dynamic Positioning Weathervane Control

2013 ◽  
Vol 47 (2) ◽  
pp. 31-42 ◽  
Author(s):  
Michel R. Miyazaki ◽  
Eduardo A. Tannuri
Keyword(s):  
Energy Consumption ◽  
Control Theory ◽  
Environmental Conditions ◽  
Energy Efficient ◽  
Degrees Of Freedom ◽  
Control Point ◽  
Effective Control ◽  
Dynamic Positioning ◽  
Control Methods ◽  
Reduce Energy Consumption

AbstractEnergy efficient controllers for dynamic positioning (DP) systems are a possible approach to reduce energy consumption and CO2 emission on large offshore systems. Due to the flexibility of some DP operations, it is possible to change the vessel heading in order to align with the resultant force defined by the environmental conditions, reducing the thrust and power required to keep position, thus increasing station-keeping capability. However, online calculation of the optimum heading may not be possible because of uncertainties about wave and current intensity and direction. Moreover, these factors change through time, and the system must be able to adapt to those changes and to keep the optimum positioning. This paper presents a new methodology to define the heading setpoint based on zero power control theory. This methodology has important advantages over traditional weathervane control methods, such as an effective control of all horizontal degrees of freedom of the vessel and the possibility to define any reference control point, not only points located at the vessel bow.

Performance Analysis of Energy Efficient Opportunistic Routing Protocols in Wireless Sensor Network

2019 ◽  
Vol 09 ◽  
Author(s):  
Premkumar Chithaluru ◽  
Rajeev Tiwari ◽  
Kamal Kumar
Keyword(s):  
Energy Consumption ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Data Communication ◽  
Opportunistic Routing ◽  
Link Quality ◽  
Delivery Ratio ◽  
Performance Parameters ◽  
Wireless Medium ◽  
Reduce Energy Consumption

Background: Energy Efficient wireless routing has been an area of research particularly to mitigate challenges surrounding performance in category of Wireless Networks. Objectives: The Opportunistic Routing (OR) technique was explored in recent times and exhibits benefits over many existing protocols and can significantly reduce energy consumption during data communication with very limited compromise on performance. Methods : Using broadcasting nature of the wireless medium, OR practices to discourse two foremost issues of variable link quality and unpredictable node agility in constrained WSNs. OR has a potential to reduce delay in order to increase the consistency of data delivery in network. Results : Various OR based routing protocols have shown varying performances. In this paper, a detailed conceptual and experimental analysis is carried out on different protocols that uses OR technique for providing more clear and definitive view on performance parameters like Message Success Rate, Packet Delivery Ratio and Energy Consumption.

Energy Efficient Scheduling for Multiple Workflows in Cloud Environment

2018 ◽  
Vol 13 (3) ◽  
pp. 14-34
Author(s):  
Ritu Garg ◽  
Neha Shukla
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Cloud Environment ◽  
Cloud Data ◽  
Available Energy ◽  
Cloud Data Centers ◽  
Reduce Energy Consumption ◽  
Scheduling Heuristic ◽  
Communication Stage ◽  
Energy Efficient Scheduling

Cloud computing makes utility computing possible with pay as you go model. It virtualizes the systems by polling and sharing the resources, thus we need to handle more than one workflow at the same time. Workflow is the standard to represent compute intensive applications in scientific and engineering domain. Hence, in this article, the authors presented the scheduling heuristic for multiple workflows running parallel in the cloud environment with the aim to reduce the energy consumption as it is one of the major concerns of cloud data centers along with the execution performance. In the proposed approach, first clustering is performed to minimize the energy consumption and execution time during communication corresponding to precedence constraint tasks. Then cluster are scheduled is on the best available energy efficient resources. Finally, DVFS is applied in order to reduce energy consumption further when the nodes are in the idle and communication stage. The simulation has been performed on CloudSim and the results show the reduction in energy consumption by up to 42%.

scholarly journals Comparative thermal performance of static sunshade and brick cavity wall for energy efficient building envelope in composite climate

2014 ◽  
Vol 18 (3) ◽  
pp. 925-934 ◽  
Author(s):  
Meghana Charde ◽  
Sourabh Bhati ◽  
Ayushman Kheterpal ◽  
Rajiv Gupta
Keyword(s):  
Energy Consumption ◽  
Air Temperature ◽  
Indoor Air ◽  
Energy Efficient ◽  
Building Envelope ◽  
Combined Effect ◽  
Cavity Wall ◽  
Outdoor Air ◽  
Reduce Energy Consumption ◽  
Energy Efficient Building

Energy efficient building technologies can reduce energy consumption in buildings. In present paper effect of designed static sunshade, brick cavity wall with brick projections and their combined effect on indoor air temperature has been analyzed by constructing three test rooms each of habitable dimensions (3.0 m ? 4.0 m ? 3.0 m) and studying hourly temperatures on typical days for one month in summer and winter each. The three rooms have also been simulated using a software and the results have been compared with the experimental results. Designed static sunshade increased indoor air temperature in winter while proposed brick cavity wall with brick projections lowered it in summer. Combined effect of building elements lowered indoor air temperature in summer and increased it in winter as compared to outdoor air temperature. It is thus useful for energy conservation in buildings in composite climate.

Kinetostatic Performance Analysis of a Redundantly Driven Parallel Kinematic Manipulator

2014 ◽  
Author(s):  
Michael Lorenz ◽  
Burkhard Corves ◽  
Martin Riedel
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Degrees Of Freedom ◽  
Mathematical Optimization ◽  
Control Methods ◽  
Drive Power ◽  
Maximum Torque ◽  
Torque Distribution ◽  
Mechanical Handling ◽  
Parallel Kinematic

In general the mechanical handling of objects in space is performed by manipulators, whose number of actuators is consistent with the number of required degrees of freedom. In addition, manipulators can be equipped with redundant drives, providing the manipulator with more actuators than the mobility actually requires. Thus, an active distribution of drive torques is enabled. Accordingly, this research intends to analyze the effects of torque distribution in over-actuated manipulators relating to load-optimized and energy-efficient handling. By developing torque distribution strategies the maximum torque levels can be reduced and the required drive power thus be decreased. This results in an increased drive utilization, which improves the energy-efficiency of the handling system. On this basis, an innovative handling concept is analyzed, which represents an over-determined system given the number of actuators. Hence, it is shown that the drive utilization of manipulators can be significantly improved by means of actuation redundancy. For this purpose different mathematical optimization approaches are analyzed, which solve the over-actuated system with defined optimization targets. Here, the optimal torque distribution is found using an algorithm, which minimizes the maximum torque for each object position. The results demonstrate the efficiency of active torque distribution in terms of over-actuated manipulators. For a further approach it is planned to develop control methods including optimized torque distribution strategies in order to improve the performance and the energy efficiency of the entire manipulator.

scholarly journals Working and Limitations of Cable Stiffening in Flexible Link Manipulators

2016 ◽  
Vol 2016 ◽  
pp. 1-9
Author(s):  
Rahul Dixit ◽  
R. Prasanth Kumar
Keyword(s):  
Energy Consumption ◽  
Finite Number ◽  
Degrees Of Freedom ◽  
Control Algorithms ◽  
Flexible Link ◽  
The Past ◽  
Working Principle ◽  
Reduce Energy Consumption ◽  
High Flexibility ◽  
Special Control

Rigid link manipulators (RLMs) are used in industry to move and manipulate objects in their workspaces. Flexible link manipulators (FLMs), which are much lighter and hence highly flexible compared to RLMs, have been proposed in the past as means to reduce energy consumption and increase the speed of operation. Unlike RLM, an FLM has infinite degrees of freedom actuated by finite number of actuators. Due to high flexibility affecting the precision of operation, special control algorithms are required to make them usable. Recently, a method to stiffen FLMs using cables, without adding significant inertia or adversely affecting the advantages of FLMs, has been proposed as a possible solution in a preliminary work by the authors. An FLM stiffened using cables can use existing control algorithms designed for RLMs. In this paper we discuss in detail the working principle and limitations of cable stiffening for flexible link manipulators through simulations and experiments. A systematic way of deciding the location of cable attachments to the FLM is also presented. The main result of this paper is to show the advantage of adding a second pair of cables in reducing overall link deflections.

scholarly journals Energy Efficient Air Curtains for Industrial Gates in Cold Climates

2021 ◽  
Vol 246 ◽  
pp. 08005
Author(s):  
A.S. Strongin ◽  
A.M. Zhivov
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Air Conditioning ◽  
Thermal Power ◽  
Hvac Systems ◽  
Energy Resources ◽  
Cold Climates ◽  
Construction Costs ◽  
Reduce Energy Consumption

In geographical areas with cold climates, large, massively constructed industrial and warehouse buildings and logistics complexes are large consumers of energy resources. The great height and large contained volumes of the premises, the presence of a significant number of doors, and building configurations that include many transport corridors all require the use of air-thermal curtains to increase the energy efficiency of the buildings’ heating, ventilating, and air-conditioning (HVAC) systems, which commonly produce several thousand kilowatts of thermal power. Optimization of air curtains can improve the microclimates of the premises, achieve savings in the initial construction costs, and also reduce energy consumption during operation by 10–20%.

scholarly journals Intelligent centralized traffic management of a rapid transit system under heavy traffic

Dependability ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 17-23
Author(s):  
L. A. Baranov ◽  
V. G. Sidorenko ◽  
E. P. Balakina ◽  
L. N. Loginova
Keyword(s):  
Genetic Algorithms ◽  
Energy Consumption ◽  
Control Theory ◽  
Traffic Safety ◽  
Energy Efficient ◽  
Traffic Management ◽  
Design Principles ◽  
Rapid Transit ◽  
Traffic Planning ◽  
Transit System

Aim. In today’s major cities, increased utilization and capacity of the rapid transit systems (metro, light rail, commuter trains with stops within the city limits) – under condi[1]tions of positive traffic safety – is achieved through smart automatic train traffic management. The aim of this paper is to choose and substantiate the design principles and architecture of such system.Methods. Using systems analysis, the design principles and architecture of the system are substantiated. Genetic algorithms allow automating train traffic planning. Methods of the optimal control theory allow managing energy-efficient train movement patterns along open lines, assigning individual station-to-station running times following the principle of mini[1]mal energy consumption, developing energy-efficient target traffic schedules. Methods of the automatic control theory are used for selecting and substantiating the train traffic algorithms at various functional levels, for constructing random disturbance extrapolators that minimize the number of train stops between stations.Results. Development and substantiation of the design principles and architecture of a centralized intelligent hierarchical system for automatic rapid transit traffic management. The distribution of functions between the hierarchy levels is described, the set of subsystems is shown that implement the purpose of management, i.e., ensuring traffic safety and comfort of passengers. The criteria are defined and substantiated of management quality under compensated and non-compensated disturbances. Traffic management and target scheduling automation algorithms are examined. The application of decision algorithms is demonstrated in the context of uncertainty, use of disturbance prediction and genetic algorithms for the purpose of train traffic planning automation. The design principles of the algorithms of traffic planning and management are shown that ensure reduced traction energy consumption. The efficiency of centralized intelligent rapid transit management system is demonstrated; the fundamental role of the system in the digitalization of the transport system is noted.Conclusion. The examined design principles and operating algorithms of a centralized intelligent rapid transit management system showed the efficiency of such systems that ensured by the following: increased capacity of the rapid transit system; improved energy efficiency of train traffic planning and management; improved train traffic safety; assurance of operational traffic management during emergencies and major traffic disruptions; improved passenger comfort.

Energy Efficiency Design Strategies for Greenhouse in Colorado

2012 ◽  
Author(s):  
Byung Chang Kwag ◽  
Moncef Krarti
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Climatic Conditions ◽  
Design Strategies ◽  
Climate Conditions ◽  
Agricultural Industry ◽  
Heating Systems ◽  
Outdoor Climate ◽  
Reduce Energy Consumption

A basic principle of well designed greenhouse design emphasizes the utilization of solar energy as much as possible to grow the plants indoors during extreme outdoor climate conditions. Greenhouses can use significant amount of energy due to several factors including poor envelope design, inappropriate maintenance practices, and heavy reliance on fuel-based heating systems. In order to reduce energy consumption in the agricultural industry of Colorado, it is important to design energy efficient greenhouses under Colorado climatic conditions.

scholarly journals An energy-efficient flow shop scheduling using hybrid Harris hawks optimization

2021 ◽  
Vol 10 (3) ◽  
pp. 1154-1163
Author(s):  
Dana Marsetiya Utama ◽  
Dian Setiya Widodo
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Manufacturing Industry ◽  
Flow Shop ◽  
Manufacturing Sector ◽  
Flow Shop Scheduling ◽  
New Approach ◽  
Shop Scheduling ◽  
Reduce Energy Consumption ◽  
Made In

The energy crisis has become an environmental problem, and this has received much attention from researchers. The manufacturing sector is the most significant contributor to energy consumption in the world. One of the significant efforts made in the manufacturing industry to reduce energy consumption is through proper scheduling. Energy-efficient scheduling (EES) is a problem in scheduling to reduce energy consumption. One of the EES problems is in a flow shop scheduling problem (FSSP). This article intends to develop a new approach to solving an EES in the FSSP problem. Hybrid Harris hawks optimization (hybrid HHO) algorithm is offered to resolve the EES issue on FSSP by considering the sequence-dependent setup. Swap and flip procedures are suggested to improve HHO performance. Furthermore, several procedures were used as a comparison to assess hybrid HHO performance. Ten tests were exercised to exhibit the hybrid HHO accomplishment. Based on numerical experimental results, hybrid HHO can solve EES problems. Furthermore, HHO was proven more competitive than other algorithms.

Sign in / Sign up

Export Citation Format

Share Document