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M.S.S. Santos is grateful to Portuguese Foundation for Science and Technology (FCT) for her PhD fellow (reference: SFRH/BD/104087/ 2014). Kashif Mushtaq is grateful to MIT Portugal Program for his doctoral grant (PD/BD/128041/2016) under the scope of the FCT. The authors would like to acknowledge to the FCT under the scope of the strategic funding of UID/BIO/04469 unit and COMPETE 2020 (POCI 01-0145-FEDER-006684) and BioTecNorte operation (NORTE-01-0145- FEDER-000004) funded by the European Regional Development Fund (ERDF), under the scope of Norte2020 - Programa Operacional Regional do Norte. The authors also acknowledge the Projects: i) POCI-01-0145- FEDER-006939 (LEPABE - Laboratory for Process Engineering, Environment, Biotechnology and Energy – UID/EQU/00511/2013), funded by the ERDF, through COMPETE2020 – Programa Operacional Competitividade e Internacionalizacao (POCI) and by nationals funds through FCT, ii) by the Project SunStorage - Harvesting and storage of solar energy”, with reference POCI-01-0145-FEDER-016387, funded by ERDF, through COMPETE 2020 –POCI), and by national funds, through FCT; (iii) Project PTDC/EQU-EQU/30510/2017 - POCI-01-0145- FEDER-030510 – Sunflow “Solar energy storage into redox flow batteries” funded by FEDER funds through COMPETE2020 - Programa Operacional Competitividade e Internacionalizacao (POCI) and by national funds (PIDDAC) through FCT/MCTES and iV) NORTE-01-0145- FEDER-000005 – LEPABE-2-ECO-INNOVATION, supported by North Portugal Regional Operational Programme (Norte 2020), under the Portugal 2020 Partnership Agreement, through the ERDF. The authors are indebted with all the colleagues who assisted in the laboratory work.

These days, sustainability is a key issue for many private companies that address their sustainable corporate performance (SCP). The perspective is essential for their license to operate and forms the basis for business principles and practices. The lack of internationally accepted reporting standards on what, when and where to report makes it difficult to assess sustainability, however. Moreover, measuring tools providing information on SCP are only the first step towards sustainability. To prevent negative effects of operations being transferred from one company to another, the second step is the development of a system-based approach for all companies that contribute to an end product. This paper presents the findings of a study about the use of environmental indicators for food production and proposes a measuring method for environmental sustainability in food production systems. The study shows that environmental SCP often focuses on events at a local level. The enormous number of indicators found in the literature generates too much data that often provide no additional knowledge on the environmental sustainability of a system. Moreover, although environmental research has addressed many aspects of sustainability, it has often ignored interactions. Overall environmental implications of food production are therefore poorly understood. The proposed measuring method uses three indicators that address global environmental issues: the use of energy (from both fossil and renewable sources), land and water. The systemic approach can calculate trade-offs along supply chains that make up a production system. The use of the method implies an extension of environmental SCP towards the overall performance of a production system. The final outcome is expressed in three performance indicators: the total land, energy and water requirement per kilogram of available food. For companies, the data generated can be used to compare trends over time, to compare results with targets and to benchmark a company against others. For consumers, data can be used to compare the environmental effects of various foods. The method is also applicable to other business sectors. The study is part of a multidisciplinary project on the scientific modeling and measuring of SCP involving economic, social and environmental dimensions. Acceptance of the measuring methods developed may be a powerful contribution towards creating sustainable business practices. (C) 2003 Elsevier B.V. All rights reserved.

The integration of distributed storage systems (DSSs) at users and prosumers level can significantly contribute to energy efficiency and increase profits from renewable energy exploitation, thanks to suitable scheduling of charging and discharging periods. On the other hand, to preserve network stability and secure operation, Distribution Systems Operators (DSOs) are interested in DSSs control and cooperation with the grid. In this framework this work proposes a simple monitoring and management system for DSSs scheduling and its integration in a distributed measurement and control system architecture for smart grids. In the paper the proposed algorithm is tested on a simple case study at home level; the obtained results show its feasibility in addressing both users/prosumers economic interests and DSOs needs for grid secure operation.

Scheduling of energy storage systems of distributed generation is a key element for optimal renewable energy sources (RES) exploitation in smart grids, demand side response strategies implementation and prosumers interaction with Distribution System Operators (DSOs). In this context, this paper presents the implementation of a management system for energy storage scheduling, which allows taking appropriate account of the storage system behavior in real cases. To properly consider the real system operation, the employed battery model is modified, in order to include also the hysteresis phenomena in state of charge estimation in both charging and discharging operation. The validation of the proposed methodology is supported by experimental tests which allow comparing two different battery models. The obtained results show that better results can be obtained with the model including the hysteresis effect.

An industrial park is a community of manufacturing and service businesses located together in a specific area. The sustainable industrial park is strategically significant for sustainable development of countries. In this paper, a gradual efficiency improvement data envelopment analysis (DEA) model is proposed to (i) measure sustainability of industrial parks, (ii) classify follower and pioneer industrial parks regarding the environmental performance, and (iii) direct the followers toward pioneers to gradually (not at once) improve their performance and make feasible improvement plans. The proposed method identifies decision-making units (DMUs) on most productive scale size (MPSS) region, and then projects other DMUs onto this region. The proposed model is extended to evaluate performance of a two-stage network structures where outputs from the first stage become inputs to second stage in addition to inputs of first stage and outputs of second stage. The proposed approach is applied to measure the sustainability of 31 Iranian industrial parks. Despite traditional DEA methods, the results indicate that inputs (outputs) should not be necessarily decreased (increased) to project the industrial parks onto the MPSS region.

The NEutrino Mediterranean Observatory-Submarine Network 1 (NEMO-SN1) seafloor observatory is located in the central Mediterranean Sea, Western Ionian Sea, off Eastern Sicily (Southern Italy) at 2100-m water depth, 25 km from the harbor of the city of Catania. It is a prototype of a cabled deep-sea multiparameter observatory and the first one operating with real-time data transmission in Europe since 2005. NEMO-SN1 is also the first-established node of the European Multidisciplinary Seafloor Observatory (EMSO), one of the incoming European large-scale research infrastructures included in the Roadmap of the European Strategy Forum on Research Infrastructures (ESFRI) since 2006. EMSO will specifically address long-term monitoring of environmental processes related to marine ecosystems, climate change, and geohazards. NEMO-SN1 has been deployed and developed over the last decade thanks to Italian funding and to the European Commission (EC) project European Seas Observatory NETwork-Network of Excellence (ESONET-NoE, 2007-2011) that funded the Listening to the Deep Ocean-Demonstration Mission (LIDO-DM) and a technological interoperability test (http://www.esonet-emso.org). NEMO-SN1 is performing geophysical and environmental long-term monitoring by acquiring seismological, geomagnetic, gravimetric, accelerometric, physico-oceanographic, hydroacoustic, and bioacoustic measurements. Scientific objectives include studying seismic signals, tsunami generation and warnings, its hydroacoustic precursors, and ambient noise characterization in terms of marine mammal sounds, environmental and anthropogenic sources. NEMO-SN1 is also an important test site for the construction of the Kilometre-Cube Underwater Neutrino Telescope (KM3NeT), another large-scale research infrastructure included in the ESFRI Roadmap based on a large volume neutrino telescope. The description of the observatory and its most recent implementations is presented. On June 9, 2012, NEMO-SN1 was successfully deployed and is working in real time. © 1976-2012 IEEE.