72 research outputs found
DEVELOPMENT AND MODELING OF MEMBRANE PROCESSES FOR THE REGENERATION OF ACID PICKLING SOLUTIONS
The doctoral thesis focuses on a novel integrated process for the recovery and valorisation of acid and metal salts present in the waste solutions of the pickling process. The proposed process is based on the integration of two innovative membrane technologies, the Diffusion Dialysis and the Membrane Distillation, coupled with a reactive precipitation section. This hybrid process allows the recovery and the enhancement of waste solutions, as well as optimal operating conditions for the continuous pickling process, thus improving its efficiency.
Hydrochloric acid recovery was assessed through a detailed study on the Diffusion Dialysis process by implementing a wide experimental campaign using artificial solutions produced in laboratory, in order to understand and characterize the system. A mathematical model was developed with time and space distributed-parameters structure for the effective simulation of steady state and transient batch operations, thus providing an operative tool for the design and optimization of DD units.
Selective separation of metal salts was reached by precipitating ferric hydroxide and maintaining ammonium and zinc chlorides in solution, which can be used as fluxing solution in the galvanizing process itself, thus implementing the typical Circular Economy concept.
The feasibility of the proposed process is demonstrated through the use of a purposely developed process simulator able to predict steady state operation of the integrated process and to perform sensitivity analysis for the identification of the best operating conditions of the system.
An experimental campaign was carried out with a demonstrator unit, jointly designed and constructed by Fraunhofer ISE (Freiburg, Germany), eventually installed in the real industrial environment of Tecnozinco s.r.l hot-dip galvanizing plant in Carini, Sicily. The campaign assessed the integration performance of the different units and the process reliability, resulting in a minimization of spent pickling solution disposal and in high quality recovered compounds.
An engineering economic analysis was carried out in order to assess the economic feasibility of the proposed process.
The economic model was implemented in the gPROMS simulation platform and was used to conduct an optimization analysis, defining the optimal operational and design conditions for which the process is more profitable and performing. The process simulator was also used to provide a scale-up of the demonstrator plant. The results have shown that the process has a good potential for industrial implementation, thanks to the economic and environmental benefits
An Approach for Secure Data Transmission in a Distributed Production Environment
The exchange of data along the supply chain can be viewed as one of the key characteristics of advanced manufacturing concepts, frequently labeled as industry 4.0 . Intelligent products produced in shorter life cycles, increasing cost and quality pressures from global supply chains, increasingly complex regulatory requirements, as well as decreasing costs of advanced sensors are major drivers for this trend. Large amounts of data generated as a by-product of this trend represents an opportunity for advanced data analytics. However, the exchange of data across organizational boundaries bears also the risks of being in the focus of cyber-attacks. In this paper, we tackle the challenge of securing the data transfer in an Industry 4.0 environment. We first identify the security requirements within our use case. Based on these requirements, we present an approach for secure data transmission and discuss how our solution meets the identified requirements
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Innovation priorities for UK bioenergy: technological expectations within path dependence
UK bioenergy innovation pathways have been locked into current energy infrastructure through technological expectations, especially the reciprocal requirements of state bodies and industry. Over the past decade UK policy has given bioenergy an increasingly important role for decarbonising the energy system; technoscientific innovation has been expected to expand the range of biomass that can be sustainably converted to energy. Needing industry investment to fulfil its policy aims, the UK government has faced requirements to provide long-term support measures. Innovation priorities have been shaped by policy arrangements closely involving industry with state bodies. Their expectations for future benefits have mobilised resources for bioenergy innovation mainly as input-substitutes within current energy infrastructural patterns; novel path creation lies within a path dependence. Although technical progress has encountered diffi culties and long delays, expectations for economic and environmental benefits have built support, while confl ating national benefi ts with private-sector interests. Through such expectations, innovation priorities wishfully enact some desired futures from among those which had been advocated in policy documents
Enhanced virtual power plant design and implementation lessons
Aggregation by Virtual Power Plants to provide flexibility to distribution and transmission networks is seen as an important element in the transition to Net-zero. This paper presents work carried out in the SIES 2022 ERA-Net project, which is investigating in detail the possible provision of flexibility by different technologies but thorough a lens of different business models. Thus, presented work relies on the real use cases. The focus of this work is on the overall architecture (hardware and software) of the demonstrator plant in East Kilbride Scotland and the integration of assets. The paper highlights challenges and lessons learned, during this process
Enhanced virtual power plant design and implementation lessons [poster & e-slides]
Aggregation by Virtual Power Plants to provide flexibility to distribution and transmission networks is seen as an important element in the transition to Net-zero. This paper presents work carried out in the SIES 2022 ERA-Net project, which is investigating in detail the possible provision of flexibility by different technologies but thorough a lens of different business models. Thus, presented work relies on the real use cases. The focus of this work is on the overall architecture (hardware and software) of the demonstrator plant in East Kilbride Scotland and the integration of assets. The paper highlights challenges and lessons learned, during this process
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