scholarly journals A Model-Based and Goal-Oriented Approach for the Conceptual Design of Smart Grid Services

Machines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 370
Author(s):  
Miguel Angel Orellana ◽  
Jose Reinaldo Silva ◽  
Eduardo L. Pellini
Keyword(s):  
Service Provision ◽  
Smart Grids ◽  
Energy Supply ◽  
Service System ◽  
Model Based ◽  
Amazon Rain Forest ◽  
Requirement Model ◽  
Energy Service ◽  
Heterogeneous Class

A solid demand to integrate energy consumption and co-generation emerged worldwide, motivated, on one hand, by the need to diversify and enhance energy supply, and, one the other hand, by the pressure to attend to the requirements of a heterogeneous class of users. The coupling between energy service provision and final users also includes balancing user needs, eliminating excesses, and optimizing energy supply while avoiding blackouts. Another motivation is the challenge of having sustainable sources and many adapted to the user ecosystem. Altogether, these motivations lead to more abstract design approaches to co-generation-distributed systems, such as those based on goal-oriented requirements used to model smart grids. This work considers the available design practices and its difficulties in proposing a new method capable of producing a flexible requirement model that could serve for design and maintenance purposes. We suggest coupling the approach based on goal-oriented requirements with model-based engineering to support such a model. The expected result is a sound and flexible requirements model, including a model for the interaction with the final user (now being considered a producer and consumer simultaneously). A case study is presented, wherein a small energy service system in an isolated community in the Amazon rain forest was designed.

scholarly journals Restrictive practices on refugees in Australia with intellectual disability and challenging behaviours: a family’s story

2016 ◽  
Vol 10 (4) ◽  
pp. 222-232 ◽  
Author(s):  
Julie King ◽  
Niki Edwards ◽  
Ignacio Correa-Velez ◽  
Rosalyn Darracott ◽  
Maureen Fordyce
Keyword(s):  
Intellectual Disability ◽  
Service Provision ◽  
Service System ◽  
Ethnographic Study ◽  
Refugee Status ◽  
Content Type ◽  
Loved One ◽  
Restrictive Practice ◽  
Complex Disability

Purpose The purpose of this paper is to explore the experiences of a refugee family navigating complex disability and restrictive practice service systems. Living with disability, or caring for someone with disability can compound the disadvantage and marginalisation already experienced by refugees. The nexus between disability and refugee status, particularly intellectual disability and restrictive practices, has received little scholarly attention and almost nothing is known of people’s experiences in this situation. Design/methodology/approach Thematic analysis of a case study is used to illustrate the experiences of a refugee family in this situation. The case study presented was part of a larger ethnographic study exploring the experiences of people of refugee background living with disability. Findings There were numerous barriers to accessing appropriate services. The family experienced high levels of stress simultaneously navigating the resettlement process and the disability service system. They were poorly informed and disempowered regarding the care of their loved one and the use of restrictive practices. Experiences in the country of origin, employment responsibilities, and unfamiliarity with the service system were key factors in this family’s difficulty in safeguarding the rights of their family member with disability. Originality/value This case study examines the complexity experienced when disability intersects with refugee background. Areas for additional research and significant gaps in service provision are identified. The case study clearly demonstrates the importance of understanding people’s pre- and post-settlement experiences to inform policy and service provision.

scholarly journals Opportunity for Revamping/Repowering of a Large Photovoltaic Plant in Sicily, a Case Study

2021 ◽  
Vol 65 (2-4) ◽  
pp. 285-291
Author(s):  
Aneli Stefano ◽  
Arena Roberta ◽  
Antonio Gagliano ◽  
Guido Sciuto
Keyword(s):  
Service System ◽  
Total Power ◽  
System Operator ◽  
Energy Service ◽  
Total Investment ◽  
Photovoltaic Plant ◽  
Significant Production ◽  
Design Construction ◽  
Production Losses

The current Italian photovoltaic park begins to show significant underperformance in efficiency mainly due to degradation of the modules, component defects, incorrect design, construction and maintenance of the systems. Such criticisms have the highest occurrences for the older installations which have had to meet feed-in tariff deadlines. According to GSE data, in Italy at the end of 2013 about 11,000 photovoltaic systems of between 200 kW and 5000 MW were installed, for a total power of about 11.0 GW, the prospective of upgrading and improving these older plants becomes progressively significant to both producers and PV plant owners. To meet these new needs, the Italian Energy Service System Operator (GSE) has recently issued new directives for repowering that allow producers of photovoltaic energy to maintain and modernize their plants without losing incentives. To evaluate the opportunities deriving from the possibility of revamping existing plants, a case study on a PV plant built in Sicily for which significant production losses were found is presented. The total investment costs, estimated in approximately € 444,000, is based on a market survey and the advice of industry experts. Considering the residual incentive period still recognized equal to 13, the economic return on investment is expected 8th year of post-revamping. The possibility of making this type of operation compatible with the maintenance of incentives is, therefore, an opportunity to increase the efficiency and enhancement of the national photovoltaic park and at the same time a potentially advantageous investment for producers.

scholarly journals A Method for Building Service Process Value Model Based on Process Mining

2020 ◽  
Vol 10 (20) ◽  
pp. 7311
Author(s):  
Xuequan Zhou ◽  
Gregory Zacharewicz ◽  
David Chen ◽  
Dianhui Chu
Keyword(s):  
Value Creation ◽  
Domain Knowledge ◽  
Service System ◽  
Process Mining ◽  
Service Process ◽  
Customer Requirements ◽  
Model Based ◽  
Collaborative Value Creation ◽  
Value Model

With the emergence and development of servitization, more and more enterprises are turning from product focus to service focus. Service is customer-oriented, and driven by customer requirements. Value is the goal pursued by all actors in the service. In order to analyze the mechanism of multi-actor collaborative value creation in the service process, this paper proposes a method for building a service process value model, based on process mining. Driven by the raw data and an event log of service activities and processes in the real world, stored in the service system, the method uses process mining techniques and combines domain knowledge to describe the construction steps of the service process value model at the conceptual level. We focus on the specific processes and activities in the service, and mainly consider the value creation of the activity. The model proposed in this paper aims, to reflect how service actors co-create value in the actual execution of service processes, and to help service actors achieve their value goals. We use a case study inspired by an industrial case to validate our idea. Moreover, we develop a new plug-in, based on the α-algorithm for ProM, to realize the model construction in the case study.

scholarly journals A Combined Approach for Model-Based PV Power Plant Failure Detection and Diagnostic

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1261
Author(s):  
Christopher Gradwohl ◽  
Vesna Dimitrievska ◽  
Federico Pittino ◽  
Wolfgang Muehleisen ◽  
András Montvay ◽  
...  
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Failure Detection ◽  
Energy Yield ◽  
Combined Approach ◽  
Levelized Cost Of Electricity ◽  
Term Operation ◽  
Model Based

Photovoltaic (PV) technology allows large-scale investments in a renewable power-generating system at a competitive levelized cost of electricity (LCOE) and with a low environmental impact. Large-scale PV installations operate in a highly competitive market environment where even small performance losses have a high impact on profit margins. Therefore, operation at maximum performance is the key for long-term profitability. This can be achieved by advanced performance monitoring and instant or gradual failure detection methodologies. We present in this paper a combined approach on model-based fault detection by means of physical and statistical models and failure diagnosis based on physics of failure. Both approaches contribute to optimized PV plant operation and maintenance based on typically available supervisory control and data acquisition (SCADA) data. The failure detection and diagnosis capabilities were demonstrated in a case study based on six years of SCADA data from a PV plant in Slovenia. In this case study, underperforming values of the inverters of the PV plant were reliably detected and possible root causes were identified. Our work has led us to conclude that the combined approach can contribute to an efficient and long-term operation of photovoltaic power plants with a maximum energy yield and can be applied to the monitoring of photovoltaic plants.

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

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