An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives

Energy cooperatives (ECs) such as residential and industrial microgrids have the potential to mitigate increasing fluctuations in renewable electricity generation, but only if their joint response is coordinated. However, the coordination and control of independently operated flexible resources (e.g., storage, demand response) imposes critical challenges arising from the heterogeneity of the resources, conflict of interests, and impact on the grid. Correspondingly, overcoming these challenges with a general and fair yet efficient exchange mechanism that coordinates these distributed resources will accommodate renewable fluctuations on a local level, thereby supporting the energy transition. In this paper, we introduce such an exchange mechanism. It incorporates a payment structure that encourages prosumers to participate in the exchange by increasing their utility above baseline alternatives. The allocation from the proposed mechanism increases the system efficiency (utilitarian social welfare) and distributes profits more fairly (measured by Nash social welfare) than individual flexibility activation. A case study analyzing the mechanism performance and resulting payments in numerical experiments over real demand and generation profiles of the Pecan Street dataset elucidates the efficacy to promote cooperation between co-located flexibilities in residential cooperatives through local exchange.Comment: Accepted in IEEE ICIT 201

Allocation of Heterogeneous Resources of an IoT Device to Flexible Services

Internet of Things (IoT) devices can be equipped with multiple heterogeneous network interfaces. An overwhelmingly large amount of services may demand some or all of these interfaces' available resources. Herein, we present a precise mathematical formulation of assigning services to interfaces with heterogeneous resources in one or more rounds. For reasonable instance sizes, the presented formulation produces optimal solutions for this computationally hard problem. We prove the NP-Completeness of the problem and develop two algorithms to approximate the optimal solution for big instance sizes. The first algorithm allocates the most demanding service requirements first, considering the average cost of interfaces resources. The second one calculates the demanding resource shares and allocates the most demanding of them first by choosing randomly among equally demanding shares. Finally, we provide simulation results giving insight into services splitting over different interfaces for both cases.Comment: IEEE Internet of Things Journa

Optimal Cell Clustering and Activation for Energy Saving in Load-Coupled Wireless Networks

Optimizing activation and deactivation of base station transmissions provides an instrument for improving energy efficiency in cellular networks. In this paper, we study optimal cell clustering and scheduling of activation duration for each cluster, with the objective of minimizing the sum energy, subject to a time constraint of delivering the users' traffic demand. The cells within a cluster are simultaneously in transmission and napping modes, with cluster activation and deactivation, respectively. Our optimization framework accounts for the coupling relation among cells due to the mutual interference. Thus, the users' achievable rates in a cell depend on the cluster composition. On the theoretical side, we provide mathematical formulation and structural characterization for the energy-efficient cell clustering and scheduling optimization problem, and prove its NP hardness. On the algorithmic side, we first show how column generation facilitates problem solving, and then present our notion of local enumeration as a flexible and effective means for dealing with the trade-off between optimality and the combinatorial nature of cluster formation, as well as for the purpose of gauging the deviation from optimality. Numerical results demonstrate that our solutions achieve more than 60% energy saving over existing schemes, and that the solutions we obtain are within a few percent of deviation from global optimum.Comment: Revision, IEEE Transactions on Wireless Communication

Automated peer-to-peer negotiation for energy contract settlements in residential cooperatives

This paper presents an automated peer-to-peer negotiation strategy for settling energy contracts among prosumers in a Residential Energy Cooperative considering heterogeneity prosumer preferences. The heterogeneity arises from prosumers' evaluation of energy contracts through multiple societal and environmental criteria and the prosumers' private preferences over those criteria. The prosumers engage in bilateral negotiations with peers to mutually agree on periodical energy contracts/loans consisting of the energy volume to be exchanged at that period and the return time of the exchanged energy. The negotiating prosumers navigate through a common negotiation domain consisting of potential energy contracts and evaluate those contracts from their valuations on the entailed criteria against a utility function that is robust against generation and demand uncertainty. From the repeated interactions, a prosumer gradually learns about the compatibility of its peers in reaching energy contracts that are closer to Nash solutions. Empirical evaluation on real demand, generation and storage profiles – in multiple system scales – illustrates that the proposed negotiation based strategy can increase the system efficiency (measured by utilitarian social welfare) and fairness (measured by Nash social welfare) over a baseline strategy and an individual flexibility control strategy representing the status quo strategy. We thus elicit system benefits from peer-to-peer flexibility exchange already without any central coordination and market operator, providing a simple yet flexible and effective paradigm that complements existing markets

The role of water markets in climate change adaptation

Abstract Water markets were first introduced in Australia in the 1980s, and water entitlement and allocation trade have been increasingly adopted by both private individuals and government.Irrigators turned to water markets (particularly for allocation water) to manage water scarcity and Governments to acquire water for the environment (particularly water entitlements. It is expected that further adoption of water markets will be essential for coping with future climate change impacts. This report reviews the available literature related to the relationship between southern Murray-Darling Basin (sMDB) water markets and anticipated climate change effects; the economic, social and environmental impacts of water reallocation through markets; and future development requirements to enhance positive outcomes in these areas. The use of water markets by irrigators can involve both transformational (selling all water entitlements and relocating or switching to dryland) and incremental (e.g. buying water allocations/entitlements, using carry-over, changing water management techniques) adaptation to climate change. Barriers to both adaptations include: current and future climate uncertainty; poor (or non-existent) market signals; financial constraints; information barriers; mental processing limits; inherent attitudes toward or beliefs about climate change; institutional barriers and disincentives to adapt. A better understanding of trade behaviour, especially strategic trade issues that can lead to market failures, will improve the economic advantages of water trade. There remains community concerns about the impacts of transfers away from regional areas such as reduced community spending and reinvestment; population losses; loss of jobs; declining taxation base, loss of local services and businesses, regional production changes; and legacy issues for remaining farmers. However, it is hard to disentangle these impacts from those caused by ongoing structural change in agriculture. Rural communities that are most vulnerable to water scarcity under climate change and water trade adjustment include smaller irrigation-dependent towns. Communities less dependent on irrigation are better able to adapt. Further, where environmental managers use water markets to deal with water variability and to ensure ecological benefits, irrigators are concerned about its impact on their traditional use of markets to manage scarcity. Climate change and water scarcity management are intertwined, suggesting that policy, institutional and governance arrangements to deal with such issues should be similarly structured. Water users will adapt, either out of necessity or opportunity. The cost of that adaptation at individual, regional and national levels—particularly to future water supply variability—can be mitigated by the consideration of the existing advantages from future opportunities for water marketing in Australia

Employment services and active labor market programs in Eastern European and Central Asian countries

The objective of this paper is to look at employment services and labor market policies in the transition countries of Eastern Europe and Central Asia, and identify key benefits and constraints of active labor market programs, as well as the main characteristics and features of successful policy interventions. Various policy options are discussed on how to enhance public employment services but also private employment agencies which might be relevant to and suitable for the countries in the region given their macroeconomic and labor market situation. Overall, this report recommends that greater resources will be needed for active labor market programs (ALMPs) in the future. However, the emphasis should be put on improving the design and effectiveness of ALMPs, rather than on increasing spending levels only.Labor Markets,Labor Policies,Markets and Market Access,Labor Management and Relations,Population Policies

Sustainability Matchmaking: Exploration into using excess renewable energy to deliver ‘free’ energy to fuel poor homes – a preliminary case study in Ireland

The aggregated fuel cost of domestic hot water (DHW) generation in Ireland, in 2022, was €529M with associated emissions/load of 1.3MtCO2/289GWh. The shadow price of carbon monetises the negative impact of emissions, rising with time; DHW generation has an associated shadow carbon cost of €13M in 2022, rising to €42M in 2030 and €335M in 2050. In 2020, c12%/€441M of wind was curtailed or wasted as inter alia, there was no demand at times of high wind. Meanwhile, a ‘silent crisis’ is occurring in Ireland wherein one-in-two dwellings were considered in fuel poverty in 2022. Households in fuel poverty are known to limit DHW generation, impacting hygiene and well-being. As most Irish households have an electrical immersion already installed in DHW tanks, this research develops a preliminary (first round) wind allocation model to assess the potentials and economics of redeploying excess wind to heat DHW and, in the interest of a just-transition, focuses on households at risk of fuel poverty. It is found that fuel-poor households in Ireland could be theoretically provided with a ‘free’ full tank of hot water, once in every 3 weeks, redeploying 89% of overnight curtailed wind energy in 2019, realising a potential carbon cost saving to the Irish state of c€4M in 2030, rising to c€11M in 2050 along with a better quality of life for fuel-poor citizens. This research concludes this massive, readily deployable, shared, citizen-owned dispatch-down resource should be utilised and further research into redeployment of dispatch-down as a service is merited