Browsing by Author "Ruusu, Reino"
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Item Ambient Intelligence based monitoring and energy efficiency optimisation system(2011) Heilala, Juhani; Klobut, Krzysztof; Salonen, Tapio; Siltanen, Pekka; Ruusu, Reino; Urosevic, Ljubisa; Reimer, Philip; Armijo, Alberto; Sorli, Mikel; Fatur, Tomaz; Gantar, Ziga; Jung, Andreas; DIGITALIZACIÓN Y AUTOMATIZACIÓN DE LA CONSTRUCCIÓN; Tecnalia Research & InnovationThe European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (online) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.Item Discrete part manufacturing energy efficiency improvements with modelling and simulation(Springer New York LLC, 2013) Heilala, Juhani; Paju, Marja; Montonen, Jari; Ruusu, Reino; Sorli, Mikel; Armijo, Alberto; Bermell-Garcia, Pablo; Astwood, Simon; Quintana, Santiago; Tecnalia Research & Innovation; DIGITALIZACIÓN Y AUTOMATIZACIÓN DE LA CONSTRUCCIÓNEnergy efficiency has become a key concern in industry due to increased energy cost and associated environmental impacts. It is as well factor on marketing and reputation. Customers require information on the ecological performance of products and the process to build that product. Therefore ecoefficient manufacturing is in our days a matter of competitiveness and economic success. This paper presents industrial driven research and the key findings from production eco and energy efficiency analysis and development projects. Both static and dynamic multi-level modelling and simulation is covered with examples. The use of Value Stream Mapping and Discrete Event Simulation with life cycle inventory data for production eco efficiency analysis is explained. Generic developement steps for process, machine and production system model with environmantal aspects is shown. Development continues in EPES "Eco Process Engineering System for Composition of Services to Optimise Product Life-Cycle"- project.Item Eco-process Engineering System for Collaborative Product Process System Optimisation(Springer New York LLC, 2014) Heilala, Juhani; Ruusu, Reino; Montonen, Jari; Vatanen, Saija; Kavka, Carlos; Asnicar, Fabio; Scholze, Sebastian; Armiojo, Alberto; Insunza, Mario; DIGITALIZACIÓN Y AUTOMATIZACIÓN DE LA CONSTRUCCIÓNEco-Process engineering system (EPES) means systematic collaborative eco-efficiency and eco-innovation aspects in product service system (PSS) development and management, and covers all life-cycle phases. It is an ICT tool and related application methodology. The development focus on PSS from functional and cost performance is currently enhanced with sustainability aspects. The goal is to create more value with less environmental impact. In the virtual factories, extended enterprises, the collaboration between different stakeholders, engineers, managers, users of the PSS is a must and all actors in the value chain need a common goal. EPES system provides a collaborative space, covering common data and functionalities for knowledge management, multi-objective decision making, simulation and optimisation. Coordinated evolution (co-evolution) of products, processes and services creates competitive advantage. This paper shows a prototype of EPES system. The software building blocks of EPES system are illustrated as well methodology steps in setting up system and using it.