Collective attention and active consumer participation in community energy systems

Community energy systems, which rely on demand-side self-organisation of energy distribution, can encounter situations in which demand exceeds supply, and unless the community members schedule energy usage by and between themselves, there will be a blackout. This is effectively a collective action dilemma typically modelled as a repeated game and analysed using Game Theory. In this paper, we investigate the situation from an empirical (rather than analytic) perspective using instead a Serious Game. Motivated firstly by Elinor Ostrom's institutional design principles for sustainable common-pool resource management, and secondly by the idea that collective attention is a prerequisite for successful collective action, we present the design and implementation of a Serious Game which both encapsulates (some of) the design principles and promotes collective attention within the game's interface, affordances and interactions. Our experimental results show that as more interface design features which promote collective attention are enabled, then more often successful collective action is observed. These results have, we argue, important implications for Smart Meter design and roll-out programmes, as well as leveraging the active participation of prosumers in innovative operational and management principles for future Smart Grids

United Nations Development Assistance Framework for Kenya

The United Nations Development Assistance Framework (2014-2018) for Kenya is an expression of the UN's commitment to support the Kenyan people in their self-articulated development aspirations. This UNDAF has been developed according to the principles of UN Delivering as One (DaO), aimed at ensuring Government ownership, demonstrated through UNDAF's full alignment to Government priorities and planning cycles, as well as internal coherence among UN agencies and programmes operating in Kenya. The UNDAF narrative includes five recommended sections: Introduction and Country Context, UNDAF Results, Resource Estimates, Implementation Arrangements, and Monitoring and Evaluation as well as a Results and Resources Annex. Developed under the leadership of the Government, the UNDAF reflects the efforts of all UN agencies working in Kenya and is shaped by the five UNDG programming principles: Human Rights-based approach, gender equality, environmental sustainability, capacity development, and results based management. The UNDAF working groups have developed a truly broad-based Results Framework, in collaboration with Civil Society, donors and other partners. The UNDAF has four Strategic Results Areas: 1) Transformational Governance encompassing Policy and Institutional Frameworks; Democratic Participation and Human Rights; Devolution and Accountability; and Evidence-based Decision-making, 2) Human Capital Development comprised of Education and Learning; Health, including Water, Sanitation and Hygiene (WASH), Environmental Preservation, Food Availability and Nutrition; Multi-sectoral HIV and AIDS Response; and Social Protection, 3) Inclusive and Sustainable Economic Growth, with Improving the Business Environment; Strengthening Productive Sectors and Trade; and Promoting Job Creation, Skills Development and Improved Working Conditions, and 4) Environmental Sustainability, Land Management and Human Security including Policy and Legal Framework Development; and Peace, Community Security and Resilience. The UNDAF Results Areas are aligned with the three Pillars (Political, Social and Economic) of the Government's Vision 2030 transformational agenda

The Rule of The Jungle in Pakistan: A Case Study on Corruption and Forest Management in Swat

Corruption in the forest sector of Swat, Pakistan is impairing the sustainable management of forest. We analyze corruption in a case study setting against the backdrop of the reform options that are most often cited as possible solutions. As we highlight in this study, the ‘crime and punishment’ approach is not feasibly implemented if the overall institutional environment is weak. Since countrywide overhaul of corruption through sweeping reform programs, the other reform approach, is a difficult and lengthy task, there is a need for an alternative kind of reform. In the case of a corruption-ridden centralised forest management regime, institutional reform should move away from enforcement of existing institutions and promote communal management of natural resources by locals.Corruption, Forest Management, Environmental Policy, Institutional Reform

Federated Robust Embedded Systems: Concepts and Challenges

The development within the area of embedded systems (ESs) is moving rapidly, not least due to falling costs of computation and communication equipment. It is believed that increased communication opportunities will lead to the future ESs no longer being parts of isolated products, but rather parts of larger communities or federations of ESs, within which information is exchanged for the benefit of all participants. This vision is asserted by a number of interrelated research topics, such as the internet of things, cyber-physical systems, systems of systems, and multi-agent systems. In this work, the focus is primarily on ESs, with their specific real-time and safety requirements. While the vision of interconnected ESs is quite promising, it also brings great challenges to the development of future systems in an efficient, safe, and reliable way. In this work, a pre-study has been carried out in order to gain a better understanding about common concepts and challenges that naturally arise in federations of ESs. The work was organized around a series of workshops, with contributions from both academic participants and industrial partners with a strong experience in ES development. During the workshops, a portfolio of possible ES federation scenarios was collected, and a number of application examples were discussed more thoroughly on different abstraction levels, starting from screening the nature of interactions on the federation level and proceeding down to the implementation details within each ES. These discussions led to a better understanding of what can be expected in the future federated ESs. In this report, the discussed applications are summarized, together with their characteristics, challenges, and necessary solution elements, providing a ground for the future research within the area of communicating ESs

Policy-based power consumption management in smart energy community using single agent and multi agent Q learning algorithms

Power consumption in residential sector has increased due to growing population, economic growth, invention of many electrical appliances and therefore is becoming a growing concern in the power industry. Managing power consumption in residential sector without sacrificing user comfort has become one of the main research areas recently. The complexity of the power system keeps growing due to the penetration of alternative sources of electric energy such as solar plant, Hydro, Biomass, Geothermal and wind farm to meet the growing demand for electricity. To overcome the challenges due to complexity, the power grid needs to be intelligent in all aspects. As the grid gets smarter and smarter, considerable efforts are being undertaken to make the houses and businesses smarter in consuming the electrical energy to minimize and level the electricity demand which is also known as Demand Side Management (DSM). It also necessitates that the conventional way of modelling, control and energy management in all sectors needs to be enhanced or replaced by intelligent information processing techniques. In our research work, it has been done in several stages. (Purpose of Study and Results) We proposed a policy-based framework which allows intelligent and flexible energy management of home appliances in a smart home which is complex and dynamic in ways that saves energy automatically. We considered the challenges in formalizing the behaviour of the appliances using their states and managing the energy consumption using policies. Policies are rules which are created and edited by a house agent to deal with situations or power problems that are likely to occur. Each time the power problem arises the house agent will refer to policy and one or a set of rules will be executed to overcome that situation. Our policy-based smart home can manage energy efficiently and can significantly participate in reducing peak energy demand (thereby may reduce carbon emission). Our proposed policy-based framework achieves peak shaving so that power consumption adapts to available power, while ensuring the comfort level of the inhabitants and taking device characteristics in to account. Our simulation results on MATLAB indicate that the proposed Policy driven homes can effectively contribute to Demand side power management by decreasing the peak hour usage of the appliances and can efficiently manage energy in a smart home in a user-friendly way. We propounded and developed peak demand management algorithms for a Smart Energy Community using different types of coordination mechanisms for coordination of multiple house agents working in the same environment. These algorithms use centralized model, decentralized model, hybrid model and Pareto resource allocation model for resource allocation. We modelled user comfort for the appliance based on user preference, the power reduction capability and the important activities that run around the house associated with that appliance. Moreover, we compared these algorithms with respect to their peak reduction capability, overall comfort of the community, simplicity of the algorithm and community involvement and finally able to find the best performing algorithm among them. Our simulation results show that the proposed coordination algorithms can effectively reduce peak demand while maintaining user comfort. With the help of our proposed algorithms, the demand for electricity of a smart community can be managed intelligently and sustainably. This work is not only aiming for peak reduction management it aims for achieving it while keeping the comfort level of the inhabitants is minimum. It can learn user’s behaviour and establish the set of optimal rules dynamically. If the available power to a house is kept at a certain level the house agent will learn to use this notional power to operate all the appliances according to the requirements and comfort level of the household. This way the consumers are forced to use the power below the set level which can result in the over-all power consumption be maintained at a certain rate or level which means sustainability is possible or depletion of natural resources for electricity can be reduced. Temporal interactions of Energy Demand by local users and renewable energy sources can also be done more efficiently by having a set of new policy rules to switch between the utility and the renewable source of energy but it is beyond the scope of this thesis. We applied Q learning techniques to a home energy management agent where the agent learns to find the optimal sequence of turning off appliances so that the appliances with higher priority will not be switched off during peak demand period or power consumption management. The policy-based home energy management determines the optimal policy at every instant dynamically by learning through the interaction with the environment using one of the reinforcement learning approaches called Q-learning. The Q-learning home power consumption problem formulation consisting of state space, actions and reward function is presented. The implications of these simulation results are that the proposed Q- learning based power consumption management is very effective and enables the users to have minimum discomfort during participation in peak demand management or at the time when power consumption management is essential when the available power is rationale. This work is extended to a group of 10 houses and three multi agent Q- learning algorithms are proposed and developed for improving the individual and community comfort while at the same time keeping the power consumption below the available power level or electricity price below the set price. The proposed algorithms are weighted strategy sharing algorithm, concurrent Q learning algorithm and cooperative distributive learning algorithm. These proposed algorithms are coded and tested for managing power consumption of a group of 10 houses and the performance of all three algorithms with respect to power management and community comfort is studied and compared. Actual power consumption of a community and modified power consumption curves using Weighted Strategy Sharing algorithm, Concurrent learning and Distributive Q Learning and user comfort results are presented, and the results are analysed in this thesis

Strengthening Governance of Small-Scale Fisheries: An Initial Assessment of the Theory and Practice

Preferred citation for this report: Basurto, X., Virdin, J., Smith, H. and R. Juskus. 2017. Strengthening Governance of Small-Scale Fisheries: An Initial Assessment of Theory and Practice. Oak Foundation.Often hidden in national statistics, small-scale fisheries have been poorly measured at a global level, and in thepast often ignored in states' policy-making. Yet estimates suggest their aggregate global contribution tonutrition, food security and poverty eradication is massive. The most recent estimates available suggest thatsmall-scale fisheries account for over 90 percent of the world's commercial fishers, processors and otherpersons employed along the value chain, equivalent to over 108 million people. Roughly half areemployed in the ocean and the other half in inland fisheries—making small-scale fisheries far and awaythe ocean's largest employer (greater than oil and gas, shipping, tourism, etc.). This level of activitytranslates into a large portion of the global fish catch: an estimated 46 percent of the total, and 38 percentof the fish caught in the ocean. SSFs are also estimated to provide over half the animal protein intake inmany of the world's least developed countries, and over half of the fish for domestic consumption indeveloping countries more broadly. In sum, in many regions of the world SSFs provide both incomes tohelp reduce poverty and safety nets to help prevent it

Fresh Water and Smarter Growth: Restoring Healthy Land-water Connections

The paper describes water resources in the United States, discusses the principles of the land-water connection, outlines the current regulatory framework, and explains the impact of climate change. It also introduces the concept of low impact development while providing examples, and highlights how funders are having an impact on sustainable water management. With bibliographical references