Risk under performance-based contracting in the UK construction sector

As a method of procuring the services of the built environment, performance-based contracting (PBC) seeks to link the building supplier to longer term commitments than has traditionally been the case in the construction sector. By rewarding the building producer according to the way that building or structure delivers the users' requirements, rather than according to a list of assembled parts, a number of additional risks are taken by contractors, including fitness for purpose, costs and briefing. The extent to which contractors recognize these risks and their methods of dealing with them vary considerably and are influenced by their attitudes towards risk. As the risks associated with PBC are seen as large, uninsurable, and vulnerable to changing client requirements, the majority of respondents would reject the use of PBC as a method of contracting. Nevertheless, PBC may be used under particular conditions, where rewards are deemed sufficient to compensate for the additional risk to the contractor of undertaking work on the basis of a stream of payments paid over the life of a structure depending on the satisfactory performance of the building or as part of a private finance initiative.

Children's television: the soft underbelly of public service broadcasting

The provision of children's content should be a key constituent of the public service brand, but has often been viewed as a programme category at risk. Certainly in many countries children's television has moved from the 'scarcity' associated with terrestrial provision, to the 'plenty' of digital (see Ellis 2000). However in spite of a range of dedicated public service children's channels in Europe (CBeebies, Kika, Z@ppelin), domestically produced children's television in Europe is notoriously under-resourced if not marginalised. There is a pronounced reliance on imports (particularly on commercial television) notwithstanding the launch by US-owned multinationals (Disney, Nickelodeon, Cartoon Network) of localised versions of their children's television channels in many European countries. Within the broader context of global developments in children's media, this paper starts by outlining the recent and rapid crisis in British children's television and the factors that caused it. This was a crisis, which caught broadcasters and producers by surprise in the middle of 2006, but reflects many of the challenges faced by the children's television sector in other countries. It clearly demonstrated how a combination of the lack of regulatory protection, a change in commercial priorities among broadcasters, advertising restrictions, budgetary pressures and the competitive environment at home and abroad all combined to reinforce the trend towards a contraction of domestic production. The crisis also served to underline the dominance of the BBC - both as a representative of public service principles, and as the dominant producer and commissioner in the market. With the reasons underpinning the crisis explained, the paper will then analyse how the children's television community responded to the crisis and with what effect. Based on interviews, contemporary accounts and documentary evidence the paper will chart the converging and diverging views of broadcasters, producers, regulatory authority Ofcom, and a range of advocacy groups which represent children's interests and the industry. What arguments were elaborated in favour of protecting children's television as an integral part of the public service media brand? Can lessons be learned about how best to ensure the origination of children's media within a public service environment? Can developments in the UK be used to provide insight into how children's media might develop further?

The BBC's role in the changing production ecology of pre-school television in Britain

This paper examines the changing production ecology of British pre-school television in light of developments since the mid-1990s and the specific role played by the BBC. Underpinning the research is the perception that pre-school television is characterised by a complex set of industry relationships and dependencies that demands content which needs to satisfy a wide range of international circumstances and commercial prerogatives. For the BBC this has created tension between its public service goals and commercial priorities. Pre-school programming began in Britain in 1950, but it was not until the mid-1990s that Britain emerged as a leading producer of pre-school programming worldwide with government/industry reports regularly identifying the children’s production sector as an important contributor to exports. The rise of pre-school niche channels (CBeebies, Nick Junior, Playhouse Disney), audience fragmentation and the internationalisation and commercialisation of markets have radically altered the funding base of children’s television and the relationships that the BBC enjoys with key players. The international success of much of its pre-school programming is based on the relationships it enjoys with independent producers who generate significant revenues from programme-related consumer products. This paper focuses on the complex and changing relationships between the BBC, independent producers, and financiers, that constitute the production ecology of pre-school television and shape its output. Within the broader setting of cultural production and global trends the paper investigates the following questions: 1) In the light of changes to the sector since the mid-1990s, what makes pre-school television significant both generally and as an ideal public service project? 2) What is the nature of the current funding crisis in British children’s television and what implications does this crisis have for the BBC’s involvement in pre-school television? 3) How is the Corporation reacting to and managing the wider commercial, cultural, regulatory and technological forces that are likely to affect its strategies for the commissioning, production and acquisition of pre-school content?

Logistics implications of the UK packaging waste regulations

This paper examines the Producer Responsibility Obligations (Packaging Waste) Regulations introduced by the UK Government in 1997. The impact that these Regulations will have on the levels of freight transport activity associated with the collection and redistribution of packaging waste to recovery/recycling facilities is calculated. Findings indicate that the Regulations will lead to a 14% increase in freight vehicle kilometres attributable to packaging waste. The extent to which greater use of reusable containers could help to reduce packaging waste-related transport activity is also modelled. Details arc given of how businesses are responding to the Regulations and how some companies are adapting their logistics systems to incorporate the recovery and recycling of packaging waste as well as replacing disposal packaging with reusable containers. Interviews and case-study material carried out as part of the research are used to support this discussion.

Accessing Planktothrix species diversity and associated toxins using quantitative real-time PCR in natural waters

Tese de Doutoramento em Biologia apresentada à Faculdade de Ciências da Universidade do Porto, 2015.

VPPs information needs for effective operation in competitive electricity markets

The large increase of renewable energy sources and Distributed Generation (DG) of electricity gives place to the Virtual Power Producer (VPP) concept. VPPs may turn electricity generation by renewable sources valuable in electricity markets. Information availability and adequate decision-support tools are crucial for achieving VPPs’ goals. This involves information concerning associated producers and market operation. This paper presents ViProd, a simulation tool that allows simulating VPPs operation, focusing mainly in the information requirements for adequate decision making.

Virtual power producers integration into MASCEM

All over the world Distributed Generation is seen as a valuable help to get cleaner and more efficient electricity. Under this context distributed generators, owned by different decentralized players can provide a significant amount of the electricity generation. To get negotiation power and advantages of scale economy, these players can be aggregated giving place to a new concept: the Virtual Power Producer. Virtual Power Producers are multi-technology and multi-site heterogeneous entities. Virtual Power Producers should adopt organization and management methodologies so that they can make Distributed Generation a really profitable activity, able to participate in the market. In this paper we address the integration of Virtual Power Producers into an electricity market simulator –MASCEM – as a coalition of distributed producers.

MASGriP – a Multi-Agent Smart Grid Simulation Platform

The increasing number of players that operate in power systems leads to a more complex management. In this paper a new multi-agent platform is proposed, which simulates the real operation of power system players. MASGriP – A Multi-Agent Smart Grid Simulation Platform is presented. Several consumer and producer agents are implemented and simulated, considering real characteristics and different goals and actuation strategies. Aggregator entities, such as Virtual Power Players and Curtailment Service Providers are also included. The integration of MASGriP agents in MASCEM (Multi-Agent System for Competitive Electricity Markets) simulator allows the simulation of technical and economical activities of several players. An energy resources management architecture used in microgrids is also explained.

A decision-support system based on particle swarm optimization for multiperiod hedging in electricity markets

This paper proposes a particle swarm optimization (PSO) approach to support electricity producers for multiperiod optimal contract allocation. The producer risk preference is stated by a utility function (U) expressing the tradeoff between the expectation and variance of the return. Variance estimation and expected return are based on a forecasted scenario interval determined by a price range forecasting model developed by the authors. A certain confidence level is associated to each forecasted scenario interval. The proposed model makes use of contracts with physical (spot and forward) and financial (options) settlement. PSO performance was evaluated by comparing it with a genetic algorithm-based approach. This model can be used by producers in deregulated electricity markets but can easily be adapted to load serving entities and retailers. Moreover, it can easily be adapted to the use of other type of contracts.

A short-term risk management tool applied to OMEL electricity market using particle swarm optimization

Short-term risk management is highly dependent on long-term contractual decisions previously established; risk aversion factor of the agent and short-term price forecast accuracy. Trying to give answers to that problem, this paper provides a different approach for short-term risk management on electricity markets. Based on long-term contractual decisions and making use of a price range forecast method developed by the authors, the short-term risk management tool presented here has as main concern to find the optimal spot market strategies that a producer should have for a specific day in function of his risk aversion factor, with the objective to maximize the profits and simultaneously to practice the hedge against price market volatility. Due to the complexity of the optimization problem, the authors make use of Particle Swarm Optimization (PSO) to find the optimal solution. Results from realistic data, namely from OMEL electricity market, are presented and discussed in detail.

Multi-agent electricity market simulation with dynamic strategies & virtual power producers

Distributed energy resources will provide a significant amount of the electricity generation and will be a normal profitable business. In the new decentralized grid, customers will be among the many decentralized players and may even help to co-produce the required energy services such as demand-side management and load shedding. So, they will gain the opportunity to be more active market players. The aggregation of DG plants gives place to a new concept: the Virtual Power Producer (VPP). VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. In this paper we propose the improvement of MASCEM, a multi-agent simulation tool to study negotiations in electricity spot markets based on different market mechanisms and behavior strategies, in order to take account of decentralized players such as VPP.

Cost dependent strategy for electricity markets bidding based on adaptive reinforcement learning

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM provides several dynamic strategies for agents’ behavior. This paper presents a method that aims to provide market players with strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible bids. These bids are defined accordingly to the cost function that each producer presents.

Virtual power producers simulation - negotiating renewable distributed generation in competitive electricity markets

Sustainable development concerns made renewable energy sources to be increasingly used for electricity distributed generation. However, this is mainly due to incentives or mandatory targets determined by energy policies as in European Union. Assuring a sustainable future requires distributed generation to be able to participate in competitive electricity markets. To get more negotiation power in the market and to get advantages of scale economy, distributed generators can be aggregated giving place to a new concept: the Virtual Power Producer (VPP). VPPs are multi-technology and multisite heterogeneous entities that should adopt organization and management methodologies so that they can make distributed generation a really profitable activity, able to participate in the market. This paper presents ViProd, a simulation tool that allows simulating VPPs operation, in the context of MASCEM, a multi-agent based eletricity market simulator.

MV producers and consumers agents characterization with DSM techniques

This paper consist in the establishment of a Virtual Producer/Consumer Agent (VPCA) in order to optimize the integrated management of distributed energy resources and to improve and control Demand Side Management DSM) and its aggregated loads. The paper presents the VPCA architecture and the proposed function-based organization to be used in order to coordinate the several generation technologies, the different load types and storage systems. This VPCA organization uses a frame work based on data mining techniques to characterize the costumers. The paper includes results of several experimental tests cases, using real data and taking into account electricity generation resources as well as consumption data.

Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming

In the energy management of the isolated operation of small power system, the economic scheduling of the generation units is a crucial problem. Applying right timing can maximize the performance of the supply. The optimal operation of a wind turbine, a solar unit, a fuel cell and a storage battery is searched by a mixed-integer linear programming implemented in General Algebraic Modeling Systems (GAMS). A Virtual Power Producer (VPP) can optimal operate the generation units, assured the good functioning of equipment, including the maintenance, operation cost and the generation measurement and control. A central control at system allows a VPP to manage the optimal generation and their load control. The application of methodology to a real case study in Budapest Tech, demonstrates the effectiveness of this method to solve the optimal isolated dispatch of the DC micro-grid renewable energy park. The problem has been converged in 0.09 s and 30 iterations.