Agent-based model of actor negotiation behavior for exploring economic robustness of Industrial Symbiosis

Technical conditions and actor behavior both affect the evolution of Industrial Symbiosis Networks (ISNs) that exchange local materials and energy in a Circular Economy. In order to design interventions that shape ISNs toward financially robust exchanges, it is necessary to understand the effects of different actor behaviors during waste exchange negotiations. This study aimed to show to what extent and how the financial robustness of ISNs is influenced by negotiation behavior of ISN firms. We created an agent-based model based on empirical data and literature, in which the Theory of Planned Behavior (TPB) can be added to a tit-for-tat negotiation process. The model showed that the added self-evaluation and feedback to behavioral intention and behavior of actors is crucial for the sta-bility of ISNs. In addition, model simulations revealed divergent financial results for waste suppliers when we compare different design scenarios, indicating that the model contributes to understanding effects of design interventions in ISNs. In the future, we will calibrate the model with more empirical evidence, and ex-tend the experiments with other scenarios

Re-organise: Game-Based Learning of Circular Business Model Innovation

This study furthers game-based learning for circular business model innovation (CBMI), the complex, dynamic process of designing business models according to the circular economy principles. The study explores how game-play in an educational setting affects learning progress on the level of business model elements and from the perspective of six learning categories. We experimented with two student groups using our game education package Re-Organise. All students first studied a reader and a game role description and then filled out a circular business model canvas and a learning reflection. The first group, i.e., the game group, updated the canvas and the reflection in an interactive tutorial after gameplay. The control group submitted their updated canvas and reflection directly after the interactive tutorial without playing the game. The results were analyzed using text-mining and qualitative methods such as word co-occurrence and sentiment polarity. The game group created richer business models (using more waste processing technologies) and reflections with stronger sentiments toward the learning experience. Our detailed study results (i.e., per business model element and learning category) enhance understanding of game-based learning for circular business model innovation while providing directions for improving serious games and accompanying educational packages

Energetic communities for community energy : a review of key issues and trends shaping integrated community energy systems

Energy systems across the globe are going through a radical transformation as a result of technological and institutional changes, depletion of fossil fuel resources, and climate change. At the local level, increasing distributed energy resources requires that the centralized energy systems be re-organized. In this paper, the concept of Integrated community energy systems (ICESs) is presented as a modern development to re-organize local energy systems to integrate distributed energy resources and engage local communities. Local energy systems such as ICESs not only ensure self-provision of energy but also provide essential system services to the larger energy system. In this regard, a comparison of different energy system integration option is provided. We review the current energy trends and the associated technological, socio-economic, environmental and institutional issues shaping the development of ICESs. These systems can be applied to both developed and developing countries, however, their objectives, business models as well as composition differs. ICESs can be accepted by different actors such as local governments, communities, energy suppliers and system operators as an effective means to achieve sustainability and thereby will have significant roles in future energy systems

A Bilevel Optimization Model and a PSO-based Algorithm in Day-ahead Electricity Markets

Abstract-The paper presents quantitative RAM-based economic models capable of sup-plying early and realistic information on the envisaged lifespan economic perfor-mance of energy infrastructure systems during their conceptual designs. Unlike the conventional cost models which do not take these RAM characteristics into account, the models in this paper provide an early trade-off between the RAM attributes the designer wants to incorporate in the system and the cost of having them. The economic models thus provide the designer the ultimate leeway of selecting more intrinsically reliable and more inherently maintainable components or subsystem of the infrastructure system at a more affordable investment costs. The paper focusses on a user friendly formulation for incorporating the social costs, which are typical for infrastructures that operate in the public domain, in the cost structure of infrastructure systems. To demonstrate the implementation and utility of these economic models, it has been applied to a District Heating Network (DHN) case study

An evaluation of the pugh controlled convergence method

This paper evaluates a method known as Pugh Controlled Convergence and its relationship to recent developments in design theory. Computer executable models are proposed simulating a team of people involved in iterated cycles of evaluation, ideation, and investigation. The models suggest that: 1) convergence of the set of design concepts is facilitated by the selection of a strong datum concept; 2) iterated use of an evaluation matrix can facilitate convergence of expert opinion, especially if used to plan investigations conducted between matrix runs; and 3) ideation stimulated by the Pugh matrices can provide large benefits both by improving the set of alternatives and by facilitating convergence. As a basis of comparison, alternatives to Pugh's methods were assessed such as using a single summary criterion or using a Borda count. The models we developed suggest that Pugh's method, under a substantial range of assumptions, results in better design outcomes than those from these alternative procedures.</p

Fostering collaboration between practitioners and academics: managing public infrastructure

Public infrastructure management is an economic sustainability issue that can benefit from greater collaboration between practitioners and academics