Ready to Roll?: Overview of Challenges and Opportunities

Alternative Fuel Vehicles (AFVs) use combinations of vehicle fuels and technologies to reduce the use of petroleum in on-road vehicles. These include low-carbon fuels (sometimes blended with petroleum), electricity, and hybrid technologies combining internal combustion engines with electric motors. DVRPC's Ready to Roll? Report provides an overview for policymakers and citizens in the Greater Philadelphia region about the challenges and opportunities for expanded use of alternative fuel vehicles. The AFVs covered in this report include those most widely available today or likely to become available in the next 10 to 20 years

Market-based Investment in Electricity Transmission Networks: Controllable Flow

This paper discusses unregulated market-based electricity transmissio

Implication of national policy on electricity distribution system planning in Kenya

Includes bibliographical references (leaves 131-136).This research project proposes a multi-criteria decision making (MCDM) method of electricity distribution system planning based on the Simple Multi-Attribute Rating Technique (SMART) embedded in a 'bottom-up' planning process to investigate the implication of National Policy (Kenya Vision 2030) on distribution system planning in Kenya. This approach differs from the traditional optimization approaches used in Kenya which typically assesses alternative planning solutions by finding solutions with minimum total cost. Instead a separate capital cost is calculated for each solution, this ensures that the technical benefit of each solution is not obscured by the associated solution capital cost. The approach also allows for effective planning by starting the planning process from the distribution system upward

Reinforcement learning for EV charging optimization : A holistic perspective for commercial vehicle fleets

Recent years have seen an unprecedented uptake in electric vehicles, driven by the global push to reduce carbon emissions. At the same time, intermittent renewables are being deployed increasingly. These developments are putting flexibility measures such as dynamic load management in the spotlight of the energy transition. Flexibility measures must consider EV charging, as it has the ability to introduce grid constraints: In Germany, the cumulative power of all EV onboard chargers amounts to ca. 120 GW, while the German peak load only amounts to 80 GW. Commercial operations have strong incentives to optimize charging and flatten peak loads in real-time, given that the highest quarter-hour can determine the power-related energy bill, and that a blown fuse due to overloading can halt operations. Increasing research efforts have therefore gone into real-time-capable optimization methods. Reinforcement Learning (RL) has particularly gained attention due to its versatility, performance and real- time capabilities. This thesis implements such an approach and introduces FleetRL as a realistic RL environment for EV charging, with a focus on commercial vehicle fleets. Through its implementation, it was found that RL saved up to 83% compared to static benchmarks, and that grid overloading was entirely avoided in some scenarios by sacrificing small portions of SOC, or by delaying the charging process. Linear optimization with one year of perfect knowledge outperformed RL, but reached its practical limits in one use-case, where a feasible solution could not be found by the solver. Overall, this thesis makes a strong case for RL-based EV charging. It further provides a foundation which can be built upon: a modular, open-source software framework that integrates an MDP model, schedule generation, and non-linear battery degradationElektrifieringen av transportsektorn är en nödvändig men utmanande uppgift. I kombination med ökande solcellsproduktion och förnybara energikällor skapar det ett dilemma för elnätet som kräver omfattande flexibilitetsåtgärder. Dessa åtgärder måste inkludera laddning av elbilar, ett fenomen som har lett till aldrig tidigare skådade belastningstoppar. Ur ett kommersiellt perspektiv är incitamentet att optimera laddningsprocessen och säkerställa drifttid. Forskningen har fokuserat på realtidsoptimeringsmetoder som Deep Reinforcement Learning (DRL). Denna avhandling introducerar FleetRL som en ny RL-miljö för EV-laddning av kommersiella flottor. Genom att tillämpa ramverket visade det sig att RL sparade upp till 83% jämfört med statiska riktmärken, och att överbelastning av nätet helt kunde undvikas i de flesta scenarier. Linjär optimering överträffade RL men nådde sina gränser i snävt begränsade användningsfall. Efter att ha funnit ett positivt business case för varje kommersiellt användningsområde, ger denna avhandling ett starkt argument för RL-baserad laddning och en grund för framtida arbete via praktiska insikter och ett modulärt mjukvaruramverk med öppen källko

Review of the Literature on the Economics of Central Anaerobic Digesters

Minnesota can improve the utilization of manure and organic wastes via the production of biogas that can be used to produce heat and electricity. Denmark serves as a role model for Minnesota in the number of central anaerobic digesters that it supports. During anaerobic digestion methane is produced when naturally occurring anaerobic bacteria decompose organic matter in the absence of oxygen. This process produces what is called biogas, which usually is a mixture of 55 – 65 percent methane plus carbon dioxide with trace gases such as hydrogen sulfide. Co-generation using manure and other feedstocks can produce more energy than manure alone. Central digesters are more likely to process wastes from food processing plants and other sources resulting in the need for more specialized unloading facilities and larger storage spaces. Digesters can be owned by farmers or consumers cooperatives, third party/non-farming investor(s), state or municipal government, or established as a cooperative or limited liability corporation. Problems associated with centralized digester operation include capital constraints, low profitability, lower-than-expected waste availability, electricity connection and pricing, and waste disposal constraints.Livestock Production/Industries, Resource /Energy Economics and Policy,

Microgrids & District Energy: Pathways To Sustainable Urban Development

A microgrid is an energy system specifically designed to meet some of the energy needs of a group of buildings, a campus, or an entire community. It can include local facilities that generate electricity, heating, and/or cooling; store energy; distribute the energy generated; and manage energy consumption intelligently and in real time. Microgrids enable economies of scale that facilitate local production of energy in ways that can advance cost reduction, sustainability, economic development, and resilience goals. As they often involve multiple stakeholders, and may encompass numerous distinct property boundaries, municipal involvement is often a key factor for successful implementation. This report provides an introduction to microgrid concepts, identifies the benefits and most common road blocks to implementation, and discusses proactive steps municipalities can take to advance economically viable and environmentally superior microgrids. It also offers advocacy suggestions for municipal leaders and officials to pursue at the state and regional level. The contents are targeted to municipal government staff but anyone looking for introductory material on microgrids should find it useful

Market-based Investment in Electricity Transmission Networks: Controllable Flow

This paper discusses unregulated market-based electricity transmission investment by third parties as opposed to regulated investment by designated transmission system operators. The analysis is set against a European and Australian institutional background and focuses on interconnection of different systems. The paper explores four areas: economies of scale, market power, detrimental investment and risks. The analysis argues for restricting market-based investment to controllable flow (DC or FACTS) only. This is in line with what seems to take place in practice in Europe and Australia, it strikes a balance between pros and cons of market-based investment and draws a sharp line between regulated and unregulated investments.electricity, transmission, merchant, investment

Large Scale Deployment of Renewables for Electricity Generation

Comparisons of resource assessments suggest resource constraints are not an obstacle to the large-scale deployment of renewable energy technologies. Economic analysis identifies barriers to the adoption of renewable energy sources resulting from market structure, competition in an uneven playing field and various non-market place barriers. However, even if these barriers are removed, the problem of ‘technology lock-out’ remains. The key policy response is strategic deployment coupled with increased R&D support to accelerate the pace of improvement through market experience. The paper suggests significant contributions from various technologies, but does not assess their optimal or maximal market share

Merchant Transmission Investment

We examine the performance attributes of a merchant transmission investment framework that relies on market driven' transmission investment to provide the infrastructure to support competitive wholesale markets for electricity. Under a stringent set of assumptions, the merchant investment model has a remarkable set of attributes that appear to solve the natural monopoly problem traditionally associated with electricity transmission networks. We extend the merchant investment model to incorporate imperfections in wholesale electricity markets, lumpiness in transmission investment opportunities, stochastic attributes of transmission networks and associated property rights definition issues, the effects of behavior of transmission owners and system operators on transmission capacity, maintenance and reliability, coordination and bargaining considerations, forward contract, commitment and asset specificity issues. Incorporating these more realistic attributes of transmission networks and the behavior of transmission owners and system operators undermines the attractive properties of the merchant model and leads to inefficient transmission investment decisions.

Concepts and Practices for Transforming Infrastructure from Rigid to Adaptable

abstract: Infrastructure are increasingly being recognized as too rigid to quickly adapt to a changing climate and a non-stationary future. This rigidness poses risks to and impacts on infrastructure service delivery and public welfare. Adaptivity in infrastructure is critical for managing uncertainties to continue providing services, yet little is known about how infrastructure can be made more agile and flexible towards improved adaptive capacity. A literature review identified approximately fifty examples of novel infrastructure and technologies which support adaptivity through one or more of ten theoretical competencies of adaptive infrastructure. From these examples emerged several infrastructure forms and possible strategies for adaptivity, including smart technologies, combined centralized/decentralized organizational structures, and renewable electricity generation. With institutional and cultural support, such novel structures and systems have the potential to transform infrastructure provision and management.Dissertation/ThesisMasters Thesis Civil, Environmental and Sustainable Engineering 201