scholarly journals Understanding Technology, Fuel, Market and Policy Drivers for New York State’s Power Sector Transformation

2020 ◽  
Vol 13 (1) ◽  
pp. 265
Author(s):  
Mine Isik ◽  
P. Ozge Kaplan
Keyword(s):  
New York ◽  
Electricity Generation ◽  
System Modeling ◽  
New York State ◽  
Clean Energy ◽  
Energy System ◽  
Offshore Wind ◽  
Power Sector ◽  
Reduce Emissions ◽  
Energy System Modeling

A thorough understanding of the drivers that affect the emission levels from electricity generation, support sound design and the implementation of further emission reduction goals are presented here. For instance, New York State has already committed a transition to 100% clean energy by 2040. This paper identifies the relationships among driving factors and the changes in emissions levels between 1990 and 2050 using the logarithmic mean divisia index analysis. The analysis relies on historical data and outputs from techno-economic-energy system modeling to elucidate future power sector pathways. Three scenarios, including a business-as-usual scenario and two policy scenarios, explore the changes in utility structure, efficiency, fuel type, generation, and emission factors, considering the non-fossil-based technology options and air regulations. We present retrospective and prospective analysis of carbon dioxide, sulfur dioxide, nitrogen oxide emissions for the New York State’s power sector. Based on our findings, although the intensity varies by period and emission type, in aggregate, fossil fuel mix change can be defined as the main contributor to reduce emissions. Electricity generation level variations and technical efficiency have relatively smaller impacts. We also observe that increased emissions due to nuclear phase-out will be avoided by the onshore and offshore wind with a lower fraction met by solar until 2050.

Levelised cost of energy analysis for offshore wind farms – A case study of the New York State development

2021 ◽  
Vol 239 ◽  
pp. 109923
Author(s):  
Yibo Liang ◽  
Yu Ma ◽  
Haibin Wang ◽  
Ana Mesbahi ◽  
Byongug Jeong ◽  
...  
Keyword(s):  
New York ◽  
Energy Analysis ◽  
New York State ◽  
Wind Farms ◽  
Offshore Wind ◽  
State Development ◽  
Offshore Wind Farms ◽  
York State ◽  
Cost Of Energy

Cities and a Green New Deal

Greenovation ◽  
2020 ◽  
pp. 166-196
Author(s):  
Joan Fitzgerald
Keyword(s):  
New York ◽  
Los Angeles ◽  
Lake Erie ◽  
New York State ◽  
Green Economy ◽  
Offshore Wind ◽  
Sustainable City ◽  
York State ◽  
Industrial Cities ◽  
Climate Action

The green economy is booming and many cities are connecting climate action with economic development. Although cities making this link are not necessarily topping the most sustainable city charts, the strong economic link can pave the way for more aggressive climate action. This chapter begins by examining how solar and wind technology production has shifted internationally, and how China has become the dominant player in solar and a leader in wind. It then moves to three historically industrial cities that are seeking to transition to different green economy sectors: New York State is paying $750 million of the $900 million cost to build the nation’s biggest new solar production facility in Buffalo; Cleveland has continued its efforts to develop offshore wind on Lake Erie; and Los Angeles is linking electrification of its buses and development of subways to manufacturing.

scholarly journals Time series of heat demand and heat pump efficiency for energy system modeling

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Oliver Ruhnau ◽  
Lion Hirth ◽  
Aaron Praktiknjo
Keyword(s):  
Time Series ◽  
System Modeling ◽  
Energy System ◽  
Heat Pumps ◽  
Reanalysis Data ◽  
Coefficient Of Performance ◽  
Pump Efficiency ◽  
Water Heating ◽  
Heat Demand ◽  
Energy System Modeling

Abstract With electric heat pumps substituting for fossil-fueled alternatives, the temporal variability of their power consumption becomes increasingly important to the electricity system. To easily include this variability in energy system analyses, this paper introduces the “When2Heat” dataset comprising synthetic national time series of both the heat demand and the coefficient of performance (COP) of heat pumps. It covers 16 European countries, includes the years 2008 to 2018, and features an hourly resolution. Demand profiles for space and water heating are computed by combining gas standard load profiles with spatial temperature and wind speed reanalysis data as well as population geodata. COP time series for different heat sources – air, ground, and groundwater – and different heat sinks – floor heating, radiators, and water heating – are calculated based on COP and heating curves using reanalysis temperature data. The dataset, as well as the scripts and input parameters, are publicly available under an open source license on the Open Power System Data platform.

scholarly journals Beyond the Energy System: Modeling Frameworks Depicting Distributional Impacts for Interdisciplinary Policy Analysis

2020 ◽  
Vol 9 (1) ◽  
pp. 2000668
Author(s):  
Roland Cunha Montenegro ◽  
Panagiotis Fragkos ◽  
Audrey Helen Dobbins ◽  
Dorothea Schmid ◽  
Steve Pye ◽  
...  
Keyword(s):  
Policy Analysis ◽  
System Modeling ◽  
Energy System ◽  
Energy System Modeling ◽  
Distributional Impacts

scholarly journals Semi-Markov and hidden semi-Markov models of energy systems

2018 ◽  
Vol 58 ◽  
pp. 02023 ◽  
Author(s):  
Yuriy E. Obzherin
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Markov Models ◽  
System Modeling ◽  
Energy Systems ◽  
Energy System ◽  
Information Control ◽  
Efficiency Theory ◽  
Energy System Modeling ◽  
Semi Markov Processes

The problem of information control systems creation for energy systems and transition to intelligent control and engineering is one of the important problems of reliability and efficiency theory for energy systems. The solution of this problem is possible based on construction of mathematical models concerning different aspects of these systems structure and operation. The possibilities of application of semi-Markov processes with common phase space of states, hidden Markov and semi-Markov models for energy system modeling are considered in the paper.

Evaluation of Hybrid Nuclear Energy Systems

2016 ◽  
Author(s):  
Robin J. McDaniel
Keyword(s):  
Carbon Dioxide ◽  
Hybrid Systems ◽  
Electricity Generation ◽  
Alternative Energy ◽  
Nuclear Power ◽  
Nuclear Energy ◽  
Energy Systems ◽  
Clean Energy ◽  
Energy System ◽  
System Component

Small Modular Reactor (SMR) technologies have been recently deemed by the DOE as clean energy, a low carbon-dioxide emitting “alternative energy” source. Recent UN Sustainability Goals and Global Climate Talks to reduce the anthropomorphic Carbon-Dioxide atmospheric concentrations signal a renewed interest and need for nuclear power. The objective of this paper is to present an improved approach to the evaluation of “Hybrid Nuclear Energy Systems”. A hybrid energy system is defined as an energy system that utilizes two or more sources of energy to be used in single or multiple applications. Traditional single sourced energy or power systems require the amount of energy creation and the production of usable power to be carefully balanced. With the introduction of multiple energy sources, loads, and energy capacitors, the design, simulation, and operation of such hybrid systems requires a new approach to analysis and control. This paper introduces three examples of “Hybrid Nuclear Energy Systems”, for large scale power, industrial heat, and electricity generation. The system component independence, reliability, availability, and dynamic control aspects, coupled with component operational decisions presents a new way to optimize energy production and availability. Additional novel hybrid hydro-nuclear systems, concentrated solar-nuclear power desalination systems, and nuclear-insitu petroleum extraction systems are compared. The design aspects of such hybrid systems suitable for process heat, electricity generation, and/or desalination applications are discussed. After a multiple-year research study of past hybrid reactor designs and recent system proposals, the following design evaluation approach is the result of analysis of the best concepts discovered. This review of existing literature has summerized that postulated benefits of Hybrid Nuclear Sytems are; reduced greenhouse gas emissions, increased energy conversion efficiency, high reliability of electricity supply and consistent power quality, reduced fossil fuel dependence, less fresh water consumption, conversion of local coal or shale into higher value fuels, while lowering the risks and costs. As these proposed hybrid systems are interdisciplinary in nature, they will require a new multidisciplinary approach to systems evaluation.

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