Peer-to-peer (P2P) energy trading has been recognized as an important technology to increase the local self-consumption of photovoltaics in the local energy system. Different auction mechanisms and bidding strategies haven been investigated in previous studies. However, there has been no comparatively analysis on how different market structures influence the local energy system’s overall performance. This paper presents and compares two market structures, namely a centralized market and a decentralized market. Two pricing mechanisms in the centralized market and two bidding strategies in the decentralized market are developed. The results show that the centralized market leads to higher overall system self-consumption and profits. In the decentralized market, some electricity is directly sold to the grid due to unmatchable bids and asks. Bidding strategies based on the learning algorithm can achieve better performance compared to the random method.
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The SynergyS project aims to develop and assess a smart control system for multi-commodity energy systems (SMCES). The consortium, including a broad range of partners from different sectors, believes a SMCES is better able to incorporate new energy sources in the energy system. The partners are Hanze, TU Delft, University of Groningen, TNO, D4, Groningen Seaports, Emerson, Gain Automation Technology, Energy21, and Enshore. The project is supported by a Energy Innovation NL (topsector energie) subsidy by the Ministry of Economic Affairs.Groningen Seaports (Eemshaven, Chemical Park Delfzijl) and Leeuwarden are used as case studies for respectively an industrial and residential cluster. Using a market-based approach new local energy markets have been developed complementing the existing national wholesale markets. Agents exchange energy using optimized bidding strategies, resulting in better utilization of the assets in their portfolio. Using a combination of digital twins and physical assets from two field labs (ENTRANCE, The Green Village) performance of the SMCES is assessed. In this talk the smart multi-commodity energy system is presented, as well as some first results of the assessment. Finally an outlook is given how the market-based approach can benefit the development of energy hubs.
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This report summarizes the work done by Thematic Working Group 4 (TWG4) on “Procurement and Tendering” for e-bus deployment. It further analyses the various Good Practices collected by project partners with a reference to the above aspects. This report takes the policy learning one step further and sheds light on regional similarities and differences in practices that have been found functional and worth spreading.
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Cities around the world are increasingly using events as a tool to generate a wide range of effects, including image enhancement, income generation, and social cohesion. However, the use of events as an urban policy tool is hampered by the fact that events themselves also have their own objectives, such as making a profit or advancing the agenda of national and international organizations. In some cases, the objectives of the events and the city may coincide, but in other cases, they may not. Therefore, for cities there is a growing challenge in coordinating their events program in order to maximize the benefits for the city as a whole, while also supporting individual events. Many cities have already developed specific events policies and support mechanisms, but these tend to treat events as individual occurrences, rather than as an integral part of the urban ecology. Richards and Palmer have argued that the "eventful city" needs to take a strategic, holistic view of its events portfolio in order to move from being a city full of events to developing "eventfulness." This article considers how some cities are developing more holistic approaches to event policy and eventfulness. In reviewing the events policies of cities worldwide, it identifies three emerging policy models: event-centric policy, sector-centric policy, and network-centric policy. The article further considers the implications of these different models for events and events policies in cities.
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According to Confucianism, guanxi as inter-familial relations, forms the important foundation in a social system that is built through mutual commitments, reciprocity and trust.
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From the article: "To extend the lifetime of products, an agent is connected to the product. This agent has several roles. It depends on the phase of the lifecycle what these roles will be. One of the roles in the usage or recycling phase is to negotiate for buying spare parts in case a part of the product is broken. The same agent can also decide to offer spare parts to other agents to reuse working parts of a broken product. To accomplish this idea, a marketplace for agents has to be set up, where the auctions can take place. To support this concept, blockchain technology has been used. Blockchains are a new type of technology, known from bitcoins, but there are other cases where blockchains can be used. Blockchain is known for its decentralisation, transparency and for making trustful transactions. In this paper the working of different types of blockchains will be briefly explained and determined if they can be useful for online auctions by agents. A prototype of the marketplace using blockchains has been built."
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Digitalization enables public organizations to personalize their services, tuning them to the specific situation, abilities, and preferences of the citizens. At the same time, digital services can be experienced as being less personal than face-to-face contact by citizens. The large existing volume of academic literature on personalization mainly represents the service provider perspective. In contrast, in this paper we investigate what makes citizens experience a service as personal. The result are eight dimensions that capture the full range of individual experiences and expectations that citizens expressed in focus groups. These dimensions can serve as a framework for public sector organizations to explore the expectations of citizens of their own services and identify the areas in which they can improve the personal experiences they offer.
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This paper is about the political imbalance in the EU when it comes to attracting European agencies. Over the years, mainly due to the Brexit negotiations and for cost-efficiency reasons, many EU agencies moved from the UK to elsewhere, finding a new sea for headquarters functions or other departments. Whenever such a move is announced, EU countries and their candidate host cities jump into the breach to make a beneficial offer. The way these processes take place is a vector of the politicization of European integration. Nevertheless, these new locations of the EU agencies have won the bidding contest, is a process that usually takes place under the radar. The decision-making of these kinds of processes rests with the member states of the agency. Instead of choosing the most strategic place and ensuring an equal distribution among EU countries, which is the deal, often the highest bidder or the state contributing the most wins the agency. Interestingly, these processes have hardly been studied in the light of the increased politicization. This paper is an attempt to fill this research gap, by focusing on three cases and the processes of decision-making. The cases are the Collège européen de police (European Police College, CEPOL) which moved from the UK to Budapest in 2014, the European Medicine Agency (EMA) moving from London to Amsterdam in 2019, and the European Centre for Medium-Range Weather Forecasts (ECMWF) which moved its EU-funded program to Bonn and Helsinki mid-2021. The research strategy is as follows: the cases and the lobbying processes are described, then the main political actors are described, and the outcomes are described. The main research question is: How do these processes of political decision-making work out in practice? By answering this question, this study contributes to the discussion on globalized decision-making across the EU and the politicized imbalance which is the result of this.
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The aim of this research is to assess the potential impact of the CO2 Performance Ladder on CO2 emission reduction. The CO2 Performance Ladder is a new green procurement scheme that has been adopted by several public authorities in the Netherlands; it is a staged certification scheme for energy and CO2 management. The achieved certification level gives companies a certain competitive advantage in contract awarding procedures. While the scheme has been widely adopted by companies in the construction industry, other types of companies in the supply chain of the commissioning parties also participate. Currently, more than 190 companies participate in the scheme. The aggregate CO2 emissions covered by the scheme are around 1.7 Mtonnes, which corresponds to almost 1 % of national greenhouse gas emissions in the Netherlands. Since the introduction of the scheme the total CO2 emissions have decreased substantially. Nevertheless, these emission reductions should be interpreted with caution since emission reductions are dominated by a few companies and are affected to a large extent by economic activity. Companies participating in the scheme have set different types of CO2 emission reduction targets with varying ambition levels. The projected impact of these targets on CO2 emissions is in the range of a 0.5 %-1.3 % absolute emission reduction per year, with a most likely value of 1.1 %. The CO2 Performance Ladder can therefore make a substantial contribution to achieving the CO2 emission reductions for non-ETS sectors in the Netherlands up to 2020.
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Accurate modeling of end-users’ decision-making behavior is crucial for validating demand response (DR) policies. However, existing models usually represent the decision-making behavior as an optimization problem, neglecting the impact of human psychology on decisions. In this paper, we propose a Belief-Desire-Intention (BDI) agent model to model end-users’ decision-making under DR. This model has the ability to perceive environmental information, generate different power scheduling plans, and make decisions that align with its own interests. The key modeling capabilities of the proposed model have been validated in a household end-user with flexible loads
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