An Empirical Survey on Co-simulation: Promising Standards, Challenges and Research Needs

Co-simulation is a promising approach for the modelling and simulation of complex systems, that makes use of mature simulation tools in the respective domains. It has been applied in wildly different domains, oftentimes without a comprehensive study of the impact to the simulation results. As a consequence, over the recent years, researchers have set out to understand the essential challenges arising from the application of this technique. This paper complements the existing surveys in that the social and empirical aspects were addressed. More than 50 experts participated in a two-stage Delphi study to determine current challenges, research needs and promising standards and tools. Furthermore, an analysis of the strengths, weakness, opportunities and threats of co-simulation utilizing the analytic hierarchy process resulting in a SWOT-AHP analysis is presented. The empirical results of this study show that experts consider the FMI standard to be the most promising standard for continuous time, discrete event and hybrid co-simulation. The results of the SWOT-AHP analysis indicate that factors related to strengths and opportunities predominate

Early front-end innovation decisions for self-organized industrial symbiosis dynamics: A case study on lignin utilization

The emergence of self-organized industrial symbiosis (IS) is based on the expectations of industrial actors regarding financial and/or environmental benefits through symbiotic inter-company linkages. One such linkage is the exchange of by-products as substitutes for primary raw materials. However, the company generating the by-product may even not be aware of potential application fields in other industries. In cases where the by-product triggers an innovation, the very early phase of the innovation process ("early front-end"EFE) is extremely important, as it is here that a first rough picture of future application fields must be defined. In contrast to traditional market innovations of industries, the EFE of IS innovations is triggered by the existence of a certain by-product. As conventional innovation models are not very helpful in supporting the EFE decisions in IS innovations, our paper aims to establish a link between self-organized IS and innovation by creating a specific theoretical framework for the support of EFE decisions. We thus introduce the "stage-gate model of self-organized IS innovations" and place a particular emphasis on the early phases within this model. Subsequently, we illustrate the application of the early phases of the model in a case study on lignin utilization in the Austrian paper and pulp industry (P&P industry). In this way, the study contributes to a better understanding of the peculiarities and conditions of EFE decisions in IS innovations and their significance in the emergence of self-organized IS networks

Bottom-up Initiatives for Photovoltaic: Incentives and Barriers

When facing the challenge of restructuring the energy system, bottom-up initiatives can aid the diffusion of decentralized and clean energy technologies. We focused here on a bottom-up initiative of citizen-funded and citizen-operated photovoltaic power plants. The project follows a case study-based approach and examines two different community initiatives. The aim is to investigate the potential incentives and barriers relating to participation or non-participation in predefined community PV projects. Qualitative, as well as quantitative empirical research was used to examine the key factors in the further development of bottom-up initiatives as contributors to a general energy transition

Editorial: Managing Industrial Symbiosis (IS) Networks

Abstract not available