Models for the modern power grid

This article reviews different kinds of models for the electric power grid that can be used to understand the modern power system, the smart grid. From the physical network to abstract energy markets, we identify in the literature different aspects that co-determine the spatio-temporal multilayer dynamics of power system. We start our review by showing how the generation, transmission and distribution characteristics of the traditional power grids are already subject to complex behaviour appearing as a result of the the interplay between dynamics of the nodes and topology, namely synchronisation and cascade effects. When dealing with smart grids, the system complexity increases even more: on top of the physical network of power lines and controllable sources of electricity, the modernisation brings information networks, renewable intermittent generation, market liberalisation, prosumers, among other aspects. In this case, we forecast a dynamical co-evolution of the smart grid and other kind of networked systems that cannot be understood isolated. This review compiles recent results that model electric power grids as complex systems, going beyond pure technological aspects. From this perspective, we then indicate possible ways to incorporate the diverse co-evolving systems into the smart grid model using, for example, network theory and multi-agent simulation.Comment: Submitted to EPJ-ST Power Grids, May 201

Complex networks analysis in socioeconomic models

This chapter aims at reviewing complex networks models and methods that were either developed for or applied to socioeconomic issues, and pertinent to the theme of New Economic Geography. After an introduction to the foundations of the field of complex networks, the present summary adds insights on the statistical mechanical approach, and on the most relevant computational aspects for the treatment of these systems. As the most frequently used model for interacting agent-based systems, a brief description of the statistical mechanics of the classical Ising model on regular lattices, together with recent extensions of the same model on small-world Watts-Strogatz and scale-free Albert-Barabasi complex networks is included. Other sections of the chapter are devoted to applications of complex networks to economics, finance, spreading of innovations, and regional trade and developments. The chapter also reviews results involving applications of complex networks to other relevant socioeconomic issues, including results for opinion and citation networks. Finally, some avenues for future research are introduced before summarizing the main conclusions of the chapter.Comment: 39 pages, 185 references, (not final version of) a chapter prepared for Complexity and Geographical Economics - Topics and Tools, P. Commendatore, S.S. Kayam and I. Kubin Eds. (Springer, to be published

Network models of innovation and knowledge diffusion

Much of modern micro-economics is built from the starting point of the perfectly competitive market. In this model there are an infinite number of agents — buyers and sellers, none of whom has the power to influence the price by his actions. The good is well-defined, indeed it is perfectly standardized. And any interactions agents have is mediated by the market. That is, all transactions are anonymous, in the sense that the identities of buyer and seller are unimportant. Effectively, the seller sells “to the market” and the buyer buys “from the market”. This follows from the standardization of the good, and the fact that the market imposes a very strong discipline on prices. Implicit here is one (or both) of two assumptions. Either all agents are identical in every relevant respect, apart, possibly, from the prices they ask or offer; or every agent knows every relevant detail about every other agent. If the former, then obviously my only concern as a buyer is the prices asked by the population of sellers since in every other way they are identical. If the latter, then each seller has a unique good, and again what I am concerned with is the price of it. In either case, we see that prices capture all relevant information and are enough for every agent to make all the decisions he needs to make....economics of technology ;

Diffusion of shared goods in consumer coalitions. An agent-based model

This paper focuses on the process of coalition formation conditioning the common decision to adopt a shared good, which cannot be afforded by an average single consumer and whose use cannot be exhausted by any single consumer. An agent based model is developed to study the interplay between these two processes: coalition formation and diffusion of shared goods. Coalition formation is modelled in an evolutionary game theoretic setting, while adoption uses elements from both the Bass and the threshold models. Coalitions formation sets the conditions for adoption, while diffusion influences the consequent formation of coalitions. Results show that both coalitions and diffusion are subject to network effects and have an impact on the information flow though the population of consumers. Large coalitions are preferred over small ones since individual cost is lower, although it increases if higher quantities are purchased collectively. The paper concludes by connecting the model conceptualisation to the on-going discussion of diffusion of sustainable goods, discussing related policy implications

Critical factors for implementing and diffusing sustainable Product-Service Systems: Insights from innovation studies and companies' experiences

This is the post-print version of the final paper published in Journal for Cleaner Production. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2012 Elsevier B.V.Eco-efficient Product-Service System (PSS) innovations represent a promising approach to sustainability. However the adoption of such business strategies is still very limited because it often involves significant corporate, cultural and regulatory barriers. An important challenge is not only to conceive eco-efficient PSS concepts, but also to understand the contextual conditions that facilitate their societal embedding, and which strategies and development pathways are the most appropriate. The combination of theoretical insights from innovation studies (in particular Strategic Niche Management and Transition Management) and a case studies research (exploring the innovation journeys made by six companies in introducing their eco-efficient PSS innovations in the market) is used to investigate the factors that influence the implementation and diffusion of this kind of innovations. The article provides a structured overview of these factors, grouping them in four clusters: implementation of socio-technical experiments; establishment of a broad network of actors; building up of a shared project vision; creation of room for broad and reflexive learning processes. Based on these results it is argued that a broader and more strategic system approach should be adopted by companies. Companies should focus not only on the PSS solution and its value chain, but also on the contextual conditions that may favour or hinder the societal embedding of the PSS itself. The article concludes by outlining a key area for future research

Predictive Analysis for Social Processes II: Predictability and Warning Analysis

This two-part paper presents a new approach to predictive analysis for social processes. Part I identifies a class of social processes, called positive externality processes, which are both important and difficult to predict, and introduces a multi-scale, stochastic hybrid system modeling framework for these systems. In Part II of the paper we develop a systems theory-based, computationally tractable approach to predictive analysis for these systems. Among other capabilities, this analytic methodology enables assessment of process predictability, identification of measurables which have predictive power, discovery of reliable early indicators for events of interest, and robust, scalable prediction. The potential of the proposed approach is illustrated through case studies involving online markets, social movements, and protest behavior

Appropriation of value in Biomedical research outcome at Public Research Organisations

Transactions on biomedical research outcomes bring into play strategies that are determined by leveraging resources into quasi-markets and on options based on expectations. To govern such transactions, the choice of appropriate governance structures and the governance of interaction are all too often in remittance of risk and uncertainty. Organisation and communities are prompted by issues concerning intellectual property (IP) to underwrite information, which is inherently fraught with difficulties of discerning ownership and quantifying qualitative business variables. Against that backdrop, we enquire on the mechanisms underpinning value dissipation and value appropriation of biomedical research outcomes to make proposition on the organisational antecedence to innovation. It is a preamble study with the view to developing a meso-level framework to describe mechanisms of value appropriation of upstream biomedical (non-invasive) research at Public Research Organisation. Its underpinning is largely based on the availability appropriability regimes and viability of organizational governance decisions and how the choice of organizational governance form affects both the creation and appropriation of economic value