218,301 research outputs found
Emission-aware Energy Storage Scheduling for a Greener Grid
Reducing our reliance on carbon-intensive energy sources is vital for
reducing the carbon footprint of the electric grid. Although the grid is seeing
increasing deployments of clean, renewable sources of energy, a significant
portion of the grid demand is still met using traditional carbon-intensive
energy sources. In this paper, we study the problem of using energy storage
deployed in the grid to reduce the grid's carbon emissions. While energy
storage has previously been used for grid optimizations such as peak shaving
and smoothing intermittent sources, our insight is to use distributed storage
to enable utilities to reduce their reliance on their less efficient and most
carbon-intensive power plants and thereby reduce their overall emission
footprint. We formulate the problem of emission-aware scheduling of distributed
energy storage as an optimization problem, and use a robust optimization
approach that is well-suited for handling the uncertainty in load predictions,
especially in the presence of intermittent renewables such as solar and wind.
We evaluate our approach using a state of the art neural network load
forecasting technique and real load traces from a distribution grid with 1,341
homes. Our results show a reduction of >0.5 million kg in annual carbon
emissions -- equivalent to a drop of 23.3% in our electric grid emissions.Comment: 11 pages, 7 figure, This paper will appear in the Proceedings of the
ACM International Conference on Future Energy Systems (e-Energy 20) June
2020, Australi
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Distributed Resources Shift Paradigms on Power System Design, Planning, and Operation: An Application of the GAP Model
Power systems have evolved following a century-old paradigm of planning and operating a grid based on large central generation plants connected to load centers through a transmission grid and distribution lines with radial flows. This paradigm is being challenged by the development and diffusion of modular generation and storage technologies. We use a novel approach to assess the sequencing and pacing of centralized, distributed, and off-grid electrification strategies by developing and employing the grid and access planning (GAP) model. GAP is a capacity expansion model to jointly assess operation and investment in utility-scale generation, transmission, distribution, and demand-side resources. This paper conceptually studies the investment and operation decisions for a power system with and without distributed resources. Contrary to the current practice, we find hybrid systems that pair grid connections with distributed energy resources (DERs) are the preferred mode of electricity supply for greenfield expansion under conservative reductions in photovoltaic panel (PV) and energy storage prices. We also find that when distributed PV and storage are employed in power system expansion, there are savings of 15%-20% mostly in capital deferment and reduced diesel use. Results show that enhanced financing mechanisms for DER PV and storage could enable 50%-60% of additional deployment and save 15 /MWh in system costs. These results have important implications to reform current utility business models in developed power systems and to guide the development of electrification strategies in underdeveloped grids
A new method to energy saving in a micro grid
Optimization of energy production systems is a relevant issue that must be
considered in order to follow the fossil fuels consumption reduction policies and CO2 emission
regulation. Increasing electricity production from renewable resources (e.g., photovoltaic
systems and wind farms) is desirable but its unpredictability is a cause of problems for the
main grid stability. A system with multiple energy sources represents an efficient solution,
by realizing an interface among renewable energy sources, energy storage systems, and
conventional power generators. Direct consequences of multi-energy systems are a wider
energy flexibility and benefits for the electric grid, the purpose of this paper is to propose
the best technology combination for electricity generation from a mix of renewable energy
resources to satisfy the electrical needs. The paper identifies the optimal off-grid option
and compares this with conventional grid extension, through the use of HOMER software.
The solution obtained shows that a hybrid combination of renewable energy generators at
an off-grid location can be a cost-effective alternative to grid extension and it is sustainable,
techno-economically viable, and environmentally sound. The results show how this innovative
energetic approach can provide a cost reduction in power supply and energy fees of 40%
and 25%, respectively, and CO2 emission decrease attained around 18%. Furthermore, the
multi-energy system taken as the case study has been optimized through the utilization of
three different type of energy storage (Pb-Ac batteries, flywheels, and micro—Compressed Air
Energy Storage (C.A.E.S.)
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